Biostatistics primer: part I.

PubMed

Overholser, Brian R; Sowinski, Kevin M

2007-12-01

Biostatistics is the application of statistics to biologic data. The field of statistics can be broken down into 2 fundamental parts: descriptive and inferential. Descriptive statistics are commonly used to categorize, display, and summarize data. Inferential statistics can be used to make predictions based on a sample obtained from a population or some large body of information. It is these inferences that are used to test specific research hypotheses. This 2-part review will outline important features of descriptive and inferential statistics as they apply to commonly conducted research studies in the biomedical literature. Part 1 in this issue will discuss fundamental topics of statistics and data analysis. Additionally, some of the most commonly used statistical tests found in the biomedical literature will be reviewed in Part 2 in the February 2008 issue.

Bayesian multimodel inference for dose-response studies

USGS Publications Warehouse

Link, W.A.; Albers, P.H.

2007-01-01

Statistical inference in dose?response studies is model-based: The analyst posits a mathematical model of the relation between exposure and response, estimates parameters of the model, and reports conclusions conditional on the model. Such analyses rarely include any accounting for the uncertainties associated with model selection. The Bayesian inferential system provides a convenient framework for model selection and multimodel inference. In this paper we briefly describe the Bayesian paradigm and Bayesian multimodel inference. We then present a family of models for multinomial dose?response data and apply Bayesian multimodel inferential methods to the analysis of data on the reproductive success of American kestrels (Falco sparveriuss) exposed to various sublethal dietary concentrations of methylmercury.

The Impact of APA and AERA Guidelines on Effect Size Reporting

ERIC Educational Resources Information Center

Peng, Chao-Ying Joanne; Chen, Li-Ting; Chiang, Hsu-Min; Chiang, Yi-Chen

2013-01-01

Given the long history of effect size (ES) indices (Olejnik and Algina, "Contemporary Educational Psychology," 25, 241-286 2000) and various attempts by APA and AERA to encourage the reporting and interpretation of ES to supplement findings from inferential statistical analyses, it is essential to document the impact of APA and AERA standards on…

The Influence of Biographical Factors on Adult Learner Self-Directedness in an Open Distance Learning Environment

ERIC Educational Resources Information Center

Botha, Jo-Anne; Coetzee, Mariette

2016-01-01

This study investigated the relationship between self-directedness (as measured by the Adult Learner Self-Directedness Scale) and biographical factors such as age, race, and gender of adult learners enrolled at a South African open distance learning (ODL) higher education institution. Correlational and inferential statistical analyses were used. A…

Performing Inferential Statistics Prior to Data Collection

ERIC Educational Resources Information Center

Trafimow, David; MacDonald, Justin A.

2017-01-01

Typically, in education and psychology research, the investigator collects data and subsequently performs descriptive and inferential statistics. For example, a researcher might compute group means and use the null hypothesis significance testing procedure to draw conclusions about the populations from which the groups were drawn. We propose an…

Designing Better Graphs by Including Distributional Information and Integrating Words, Numbers, and Images

ERIC Educational Resources Information Center

Lane, David M.; Sandor, Aniko

2009-01-01

Statistical graphs are commonly used in scientific publications. Unfortunately, graphs in psychology journals rarely portray distributional information beyond central tendency, and few graphs portray inferential statistics. Moreover, those that do portray inferential information generally do not portray it in a way that is useful for interpreting…

Evaluating Independent Proportions for Statistical Difference, Equivalence, Indeterminacy, and Trivial Difference Using Inferential Confidence Intervals

ERIC Educational Resources Information Center

Tryon, Warren W.; Lewis, Charles

2009-01-01

Tryon presented a graphic inferential confidence interval (ICI) approach to analyzing two independent and dependent means for statistical difference, equivalence, replication, indeterminacy, and trivial difference. Tryon and Lewis corrected the reduction factor used to adjust descriptive confidence intervals (DCIs) to create ICIs and introduced…

A Framework to Support Research on Informal Inferential Reasoning

ERIC Educational Resources Information Center

Zieffler, Andrew; Garfield, Joan; delMas, Robert; Reading, Chris

2008-01-01

Informal inferential reasoning is a relatively recent concept in the research literature. Several research studies have defined this type of cognitive process in slightly different ways. In this paper, a working definition of informal inferential reasoning based on an analysis of the key aspects of statistical inference, and on research from…

A Response to White and Gorard: Against Inferential Statistics: How and Why Current Statistics Teaching Gets It Wrong

ERIC Educational Resources Information Center

Nicholson, James; Ridgway, Jim

2017-01-01

White and Gorard make important and relevant criticisms of some of the methods commonly used in social science research, but go further by criticising the logical basis for inferential statistical tests. This paper comments briefly on matters we broadly agree on with them and more fully on matters where we disagree. We agree that too little…

Extending Inferential Group Analysis in Type 2 Diabetic Patients with Multivariate GLM Implemented in SPM8.

PubMed

Ferreira, Fábio S; Pereira, João M S; Duarte, João V; Castelo-Branco, Miguel

2017-01-01

Although voxel based morphometry studies are still the standard for analyzing brain structure, their dependence on massive univariate inferential methods is a limiting factor. A better understanding of brain pathologies can be achieved by applying inferential multivariate methods, which allow the study of multiple dependent variables, e.g. different imaging modalities of the same subject. Given the widespread use of SPM software in the brain imaging community, the main aim of this work is the implementation of massive multivariate inferential analysis as a toolbox in this software package. applied to the use of T1 and T2 structural data from diabetic patients and controls. This implementation was compared with the traditional ANCOVA in SPM and a similar multivariate GLM toolbox (MRM). We implemented the new toolbox and tested it by investigating brain alterations on a cohort of twenty-eight type 2 diabetes patients and twenty-six matched healthy controls, using information from both T1 and T2 weighted structural MRI scans, both separately - using standard univariate VBM - and simultaneously, with multivariate analyses. Univariate VBM replicated predominantly bilateral changes in basal ganglia and insular regions in type 2 diabetes patients. On the other hand, multivariate analyses replicated key findings of univariate results, while also revealing the thalami as additional foci of pathology. While the presented algorithm must be further optimized, the proposed toolbox is the first implementation of multivariate statistics in SPM8 as a user-friendly toolbox, which shows great potential and is ready to be validated in other clinical cohorts and modalities.

Extending Inferential Group Analysis in Type 2 Diabetic Patients with Multivariate GLM Implemented in SPM8

PubMed Central

Ferreira, Fábio S.; Pereira, João M.S.; Duarte, João V.; Castelo-Branco, Miguel

2017-01-01

Background: Although voxel based morphometry studies are still the standard for analyzing brain structure, their dependence on massive univariate inferential methods is a limiting factor. A better understanding of brain pathologies can be achieved by applying inferential multivariate methods, which allow the study of multiple dependent variables, e.g. different imaging modalities of the same subject. Objective: Given the widespread use of SPM software in the brain imaging community, the main aim of this work is the implementation of massive multivariate inferential analysis as a toolbox in this software package. applied to the use of T1 and T2 structural data from diabetic patients and controls. This implementation was compared with the traditional ANCOVA in SPM and a similar multivariate GLM toolbox (MRM). Method: We implemented the new toolbox and tested it by investigating brain alterations on a cohort of twenty-eight type 2 diabetes patients and twenty-six matched healthy controls, using information from both T1 and T2 weighted structural MRI scans, both separately – using standard univariate VBM - and simultaneously, with multivariate analyses. Results: Univariate VBM replicated predominantly bilateral changes in basal ganglia and insular regions in type 2 diabetes patients. On the other hand, multivariate analyses replicated key findings of univariate results, while also revealing the thalami as additional foci of pathology. Conclusion: While the presented algorithm must be further optimized, the proposed toolbox is the first implementation of multivariate statistics in SPM8 as a user-friendly toolbox, which shows great potential and is ready to be validated in other clinical cohorts and modalities. PMID:28761571

Inferential Statistics and the Use of Administrative Data in US Educational Research

ERIC Educational Resources Information Center

Gibbs, Benjamin G.; Shafer, Kevin; Miles, Aaron

2017-01-01

While the use of inferential statistics is a nearly universal practice in the social sciences, there are instances where its application is unnecessary and potentially misleading. This is true for a portion of research using administrative data in educational research in the United States. Surveying all research articles using administrative data…

Using Informal Inferential Reasoning to Develop Formal Concepts: Analyzing an Activity

ERIC Educational Resources Information Center

Weinberg, Aaron; Wiesner, Emilie; Pfaff, Thomas J.

2010-01-01

Inferential reasoning is a central component of statistics. Researchers have suggested that students should develop an informal understanding of the ideas that underlie inference before learning the concepts formally. This paper presents a hands-on activity that is designed to help students in an introductory statistics course draw informal…

Using Network Analysis to Characterize Biogeographic Data in a Community Archive

NASA Astrophysics Data System (ADS)

Wellman, T. P.; Bristol, S.

2017-12-01

Informative measures are needed to evaluate and compare data from multiple providers in a community-driven data archive. This study explores insights from network theory and other descriptive and inferential statistics to examine data content and application across an assemblage of publically available biogeographic data sets. The data are archived in ScienceBase, a collaborative catalog of scientific data supported by the U.S Geological Survey to enhance scientific inquiry and acuity. In gaining understanding through this investigation and other scientific venues our goal is to improve scientific insight and data use across a spectrum of scientific applications. Network analysis is a tool to reveal patterns of non-trivial topological features in the data that do not exhibit complete regularity or randomness. In this work, network analyses are used to explore shared events and dependencies between measures of data content and application derived from metadata and catalog information and measures relevant to biogeographic study. Descriptive statistical tools are used to explore relations between network analysis properties, while inferential statistics are used to evaluate the degree of confidence in these assessments. Network analyses have been used successfully in related fields to examine social awareness of scientific issues, taxonomic structures of biological organisms, and ecosystem resilience to environmental change. Use of network analysis also shows promising potential to identify relationships in biogeographic data that inform programmatic goals and scientific interests.

A Quasi-Experimental Study on Using Short Stories: Statistical and Inferential Analyses on the Non-English Major University Students' Speaking and Writing Achievements

ERIC Educational Resources Information Center

Iman, Jaya Nur

2017-01-01

This research was conducted to find out whether or not using short stories significantly improve the speaking and writing achievements. A quasi-experimental study of non-equivalent pretest-posttest control group design or comparison group design was used in this research. The population of this research was the all first semester undergraduate…

Exploring College Students' Mental Representations of Inferential Statistics

ERIC Educational Resources Information Center

Lavigne, Nancy C.; Salkind, Sara J.; Yan, Jie

2008-01-01

We report a case study that explored how three college students mentally represented the knowledge they held of inferential statistics, how this knowledge was connected, and how it was applied in two problem solving situations. A concept map task and two problem categorization tasks were used along with interviews to gather the data. We found that…

Quantitative Methods in Library and Information Science Literature: Descriptive vs. Inferential Statistics.

ERIC Educational Resources Information Center

Brattin, Barbara C.

Content analysis was performed on the top six core journals for 1990 in library and information science to determine the extent of research in the field. Articles (n=186) were examined for descriptive or inferential statistics and separately for the presence of mathematical models. Results show a marked (14%) increase in research for 1990,…

Psychometric Evaluation of the Italian Adaptation of the Test of Inferential and Creative Thinking

ERIC Educational Resources Information Center

Faraci, Palmira; Hell, Benedikt; Schuler, Heinz

2016-01-01

This article describes the psychometric properties of the Italian adaptation of the "Analyse des Schlussfolgernden und Kreativen Denkens" (ASK; Test of Inferential and Creative Thinking) for measuring inferential and creative thinking. The study aimed to (a) supply evidence for the factorial structure of the instrument, (b) describe its…

Parenting Predictors of Cognitive Skills and Emotion Knowledge in Socioeconomically Disadvantaged Preschoolers

PubMed Central

Merz, Emily C.; Zucker, Tricia A.; Landry, Susan H.; Williams, Jeffrey M.; Assel, Michael; Taylor, Heather B.; Lonigan, Christopher J.; Phillips, Beth M.; Clancy-Menchetti, Jeanine; Barnes, Marcia A.; Eisenberg, Nancy; de Villiers, Jill

2014-01-01

This study examined the concurrent and longitudinal associations of parental responsiveness and inferential language input with cognitive skills and emotion knowledge among socioeconomically disadvantaged preschoolers. Parents and 2- to 4-year-old children (mean age = 3.21 years; N=284) participated in a parent-child free play session, and children completed cognitive (language, early literacy, early mathematics) and emotion knowledge assessments. One year later, children completed the same assessment battery. Parental responsiveness was coded from the videotaped parent-child free play sessions, and parental inferential language input was coded from transcripts of a subset of 127 of these sessions. All analyses controlled for child age, gender, and parental education, and longitudinal analyses controlled for initial skill level. Parental responsiveness significantly predicted all concurrent cognitive skills as well as literacy, math, and emotion knowledge one year later. Parental inferential language input was significantly positively associated with children's concurrent emotion knowledge. In longitudinal analyses, an interaction was found such that for children with stronger initial language skills, higher levels of parental inferential language input facilitated greater vocabulary development, whereas for children with weaker initial language skills, there was no association between parental inferential language input and change in children's vocabulary skills. These findings further our understanding of the roles of parental responsiveness and inferential language input in promoting children's school readiness skills. PMID:25576967

Tips and Tricks for Successful Application of Statistical Methods to Biological Data.

PubMed

Schlenker, Evelyn

2016-01-01

This chapter discusses experimental design and use of statistics to describe characteristics of data (descriptive statistics) and inferential statistics that test the hypothesis posed by the investigator. Inferential statistics, based on probability distributions, depend upon the type and distribution of the data. For data that are continuous, randomly and independently selected, as well as normally distributed more powerful parametric tests such as Student's t test and analysis of variance (ANOVA) can be used. For non-normally distributed or skewed data, transformation of the data (using logarithms) may normalize the data allowing use of parametric tests. Alternatively, with skewed data nonparametric tests can be utilized, some of which rely on data that are ranked prior to statistical analysis. Experimental designs and analyses need to balance between committing type 1 errors (false positives) and type 2 errors (false negatives). For a variety of clinical studies that determine risk or benefit, relative risk ratios (random clinical trials and cohort studies) or odds ratios (case-control studies) are utilized. Although both use 2 × 2 tables, their premise and calculations differ. Finally, special statistical methods are applied to microarray and proteomics data, since the large number of genes or proteins evaluated increase the likelihood of false discoveries. Additional studies in separate samples are used to verify microarray and proteomic data. Examples in this chapter and references are available to help continued investigation of experimental designs and appropriate data analysis.

Classical Statistics and Statistical Learning in Imaging Neuroscience

PubMed Central

Bzdok, Danilo

2017-01-01

Brain-imaging research has predominantly generated insight by means of classical statistics, including regression-type analyses and null-hypothesis testing using t-test and ANOVA. Throughout recent years, statistical learning methods enjoy increasing popularity especially for applications in rich and complex data, including cross-validated out-of-sample prediction using pattern classification and sparsity-inducing regression. This concept paper discusses the implications of inferential justifications and algorithmic methodologies in common data analysis scenarios in neuroimaging. It is retraced how classical statistics and statistical learning originated from different historical contexts, build on different theoretical foundations, make different assumptions, and evaluate different outcome metrics to permit differently nuanced conclusions. The present considerations should help reduce current confusion between model-driven classical hypothesis testing and data-driven learning algorithms for investigating the brain with imaging techniques. PMID:29056896

Power of mental health nursing research: a statistical analysis of studies in the International Journal of Mental Health Nursing.

PubMed

Gaskin, Cadeyrn J; Happell, Brenda

2013-02-01

Having sufficient power to detect effect sizes of an expected magnitude is a core consideration when designing studies in which inferential statistics will be used. The main aim of this study was to investigate the statistical power in studies published in the International Journal of Mental Health Nursing. From volumes 19 (2010) and 20 (2011) of the journal, studies were analysed for their power to detect small, medium, and large effect sizes, according to Cohen's guidelines. The power of the 23 studies included in this review to detect small, medium, and large effects was 0.34, 0.79, and 0.94, respectively. In 90% of papers, no adjustments for experiment-wise error were reported. With a median of nine inferential tests per paper, the mean experiment-wise error rate was 0.51. A priori power analyses were only reported in 17% of studies. Although effect sizes for correlations and regressions were routinely reported, effect sizes for other tests (χ(2)-tests, t-tests, ANOVA/MANOVA) were largely absent from the papers. All types of effect sizes were infrequently interpreted. Researchers are strongly encouraged to conduct power analyses when designing studies, and to avoid scattergun approaches to data analysis (i.e. undertaking large numbers of tests in the hope of finding 'significant' results). Because reviewing effect sizes is essential for determining the clinical significance of study findings, researchers would better serve the field of mental health nursing if they reported and interpreted effect sizes. © 2012 The Authors. International Journal of Mental Health Nursing © 2012 Australian College of Mental Health Nurses Inc.

CAN'T MISS--conquer any number task by making important statistics simple. Part 1. Types of variables, mean, median, variance, and standard deviation.

PubMed

Hansen, John P

2003-01-01

Healthcare quality improvement professionals need to understand and use inferential statistics to interpret sample data from their organizations. In quality improvement and healthcare research studies all the data from a population often are not available, so investigators take samples and make inferences about the population by using inferential statistics. This three-part series will give readers an understanding of the concepts of inferential statistics as well as the specific tools for calculating confidence intervals for samples of data. This article, Part 1, presents basic information about data including a classification system that describes the four major types of variables: continuous quantitative variable, discrete quantitative variable, ordinal categorical variable (including the binomial variable), and nominal categorical variable. A histogram is a graph that displays the frequency distribution for a continuous variable. The article also demonstrates how to calculate the mean, median, standard deviation, and variance for a continuous variable.

Surface Area of Patellar Facets: Inferential Statistics in the Iraqi Population

PubMed Central

Al-Zamili, Zaid; Omar, Rawan

2017-01-01

Background. The patella is the largest sesamoid bone in the body; its three-dimensional complexity necessitates biomechanical perfection. Numerous pathologies occur at the patellofemoral unit which may end in degenerative changes. This study aims to test the presence of statistical correlation between the surface areas of patellar facets and other patellar morphometric parameters. Materials and Methods. Forty dry human patellae were studied. The morphometry of each patella was measured using a digital Vernier Caliper, electronic balance, and image analyses software known as ImageJ. The patellar facetal surface area was correlated with patellar weight, height, width, and thickness. Results. Inferential statistics proved the existence of linear correlation of total facetal surface area and patellar weight, height, width, and thickness. The correlation was strongest for surface area versus patellar weight. The lateral facetal area was found persistently larger than the medial facetal area, the p value was found to be <0.001 (one-tailed t-test) for right patellae, and another significant p value of < 0.001 (one-tailed t-test) was found for left patellae. Conclusion. These data are vital for the restoration of the normal biomechanics of the patellofemoral unit; these are to be consulted during knee surgeries and implant designs and can be of an indispensable anthropometric, interethnic, and biometric value. PMID:28348891

Analysis of Parasite and Other Skewed Counts

PubMed Central

Alexander, Neal

2012-01-01

Objective To review methods for the statistical analysis of parasite and other skewed count data. Methods Statistical methods for skewed count data are described and compared, with reference to those used over a ten year period of Tropical Medicine and International Health. Two parasitological datasets are used for illustration. Results Ninety papers were identified, 89 with descriptive and 60 with inferential analysis. A lack of clarity is noted in identifying measures of location, in particular the Williams and geometric mean. The different measures are compared, emphasizing the legitimacy of the arithmetic mean for skewed data. In the published papers, the t test and related methods were often used on untransformed data, which is likely to be invalid. Several approaches to inferential analysis are described, emphasizing 1) non-parametric methods, while noting that they are not simply comparisons of medians, and 2) generalized linear modelling, in particular with the negative binomial distribution. Additional methods, such as the bootstrap, with potential for greater use are described. Conclusions Clarity is recommended when describing transformations and measures of location. It is suggested that non-parametric methods and generalized linear models are likely to be sufficient for most analyses. PMID:22943299

Cross-validation and hypothesis testing in neuroimaging: An irenic comment on the exchange between Friston and Lindquist et al.

PubMed

Reiss, Philip T

2015-08-01

The "ten ironic rules for statistical reviewers" presented by Friston (2012) prompted a rebuttal by Lindquist et al. (2013), which was followed by a rejoinder by Friston (2013). A key issue left unresolved in this discussion is the use of cross-validation to test the significance of predictive analyses. This note discusses the role that cross-validation-based and related hypothesis tests have come to play in modern data analyses, in neuroimaging and other fields. It is shown that such tests need not be suboptimal and can fill otherwise-unmet inferential needs. Copyright © 2015 Elsevier Inc. All rights reserved.

Disclosure Control using Partially Synthetic Data for Large-Scale Health Surveys, with Applications to CanCORS

PubMed Central

Loong, Bronwyn; Zaslavsky, Alan M.; He, Yulei; Harrington, David P.

2013-01-01

Statistical agencies have begun to partially synthesize public-use data for major surveys to protect the confidentiality of respondents’ identities and sensitive attributes, by replacing high disclosure risk and sensitive variables with multiple imputations. To date, there are few applications of synthetic data techniques to large-scale healthcare survey data. Here, we describe partial synthesis of survey data collected by CanCORS, a comprehensive observational study of the experiences, treatments, and outcomes of patients with lung or colorectal cancer in the United States. We review inferential methods for partially synthetic data, and discuss selection of high disclosure risk variables for synthesis, specification of imputation models, and identification disclosure risk assessment. We evaluate data utility by replicating published analyses and comparing results using original and synthetic data, and discuss practical issues in preserving inferential conclusions. We found that important subgroup relationships must be included in the synthetic data imputation model, to preserve the data utility of the observed data for a given analysis procedure. We conclude that synthetic CanCORS data are suited best for preliminary data analyses purposes. These methods address the requirement to share data in clinical research without compromising confidentiality. PMID:23670983

[The research protocol VI: How to choose the appropriate statistical test. Inferential statistics].

PubMed

Flores-Ruiz, Eric; Miranda-Novales, María Guadalupe; Villasís-Keever, Miguel Ángel

2017-01-01

The statistical analysis can be divided in two main components: descriptive analysis and inferential analysis. An inference is to elaborate conclusions from the tests performed with the data obtained from a sample of a population. Statistical tests are used in order to establish the probability that a conclusion obtained from a sample is applicable to the population from which it was obtained. However, choosing the appropriate statistical test in general poses a challenge for novice researchers. To choose the statistical test it is necessary to take into account three aspects: the research design, the number of measurements and the scale of measurement of the variables. Statistical tests are divided into two sets, parametric and nonparametric. Parametric tests can only be used if the data show a normal distribution. Choosing the right statistical test will make it easier for readers to understand and apply the results.

Descriptive data analysis.

PubMed

Thompson, Cheryl Bagley

2009-01-01

This 13th article of the Basics of Research series is first in a short series on statistical analysis. These articles will discuss creating your statistical analysis plan, levels of measurement, descriptive statistics, probability theory, inferential statistics, and general considerations for interpretation of the results of a statistical analysis.

Study designs, use of statistical tests, and statistical analysis software choice in 2015: Results from two Pakistani monthly Medline indexed journals.

PubMed

Shaikh, Masood Ali

2017-09-01

Assessment of research articles in terms of study designs used, statistical tests applied and the use of statistical analysis programmes help determine research activity profile and trends in the country. In this descriptive study, all original articles published by Journal of Pakistan Medical Association (JPMA) and Journal of the College of Physicians and Surgeons Pakistan (JCPSP), in the year 2015 were reviewed in terms of study designs used, application of statistical tests, and the use of statistical analysis programmes. JPMA and JCPSP published 192 and 128 original articles, respectively, in the year 2015. Results of this study indicate that cross-sectional study design, bivariate inferential statistical analysis entailing comparison between two variables/groups, and use of statistical software programme SPSS to be the most common study design, inferential statistical analysis, and statistical analysis software programmes, respectively. These results echo previously published assessment of these two journals for the year 2014.

The relationship between magical thinking, inferential confusion and obsessive-compulsive symptoms.

PubMed

Goods, N A R; Rees, C S; Egan, S J; Kane, R T

2014-01-01

Inferential confusion is an under-researched faulty reasoning process in obsessive-compulsive disorder (OCD). Based on an overreliance on imagined possibilities, it shares similarities with the extensively researched construct of thought-action fusion (TAF). While TAF has been proposed as a specific subset of the broader construct of magical thinking, the relationship between inferential confusion and magical thinking is unexplored. The present study investigated this relationship, and hypothesised that magical thinking would partially mediate the relationship between inferential confusion and obsessive-compulsive symptoms. A non-clinical sample of 201 participants (M = 34.94, SD = 15.88) were recruited via convenience sampling. Regression analyses found the hypothesised mediating relationship was supported, as magical thinking did partially mediate the relationship between inferential confusion and OC symptoms. Interestingly, inferential confusion had the stronger relationship with OC symptoms in comparison to the other predictor variables. Results suggest that inferential confusion can both directly and indirectly (via magical thinking) impact on OC symptoms. Future studies with clinical samples should further investigate these constructs to determine whether similar patterns emerge, as this may eventually inform which cognitive errors to target in treatment of OCD.

Non-Inferential Multi-Subject Study of Functional Connectivity during Visual Stimulation.

PubMed

Esposito, F; Cirillo, M; Aragri, A; Caranci, F; Cirillo, L; Di Salle, F; Cirillo, S

2007-01-31

Independent component analysis (ICA) is a powerful technique for the multivariate, non-inferential, data-driven analysis of functional magnetic resonance imaging (fMRI) data-sets. The non-inferential nature of ICA makes this a suitable technique for the study of complex mental states whose temporal evolution would be difficult to describe analytically in terms of classical statistical regressors. Taking advantage of this feature, ICA can extract a number of functional connectivity patterns regardless of the task executed by the subject. The technique is so powerful that functional connectivity patterns can be derived even when the subject is just resting in the scanner, opening the opportunity for functional investigation of the human mind at its basal "default" state, which has been proposed to be altered in several brain disorders. However, one major drawback of ICA consists in the difficulty of managing its results, which are not represented by a single functional image as in inferential studies. This produces the need for a classification of ICA results and exacerbates the difficulty of obtaining group "averaged" functional connectivity patterns, while preserving the interpretation of individual differences. Addressing the subject-level variability in the very same framework of "grouping" appears to be a favourable approach towards the clinical evaluation and application of ICA-based methodologies. Here we present a novel strategy for group-level ICA analyses, namely the self-organizing group-level ICA (sog-ICA), which is used on visual activation fMRI data from a block-design experiment repeated on six subjects. We propose the sog-ICA as a multi-subject analysis tool for grouping ICA data while assessing the similarity and variability of the fMRI results of individual subject decompositions.

Examining the Reproducibility of 6 Published Studies in Public Health Services and Systems Research.

PubMed

Harris, Jenine K; B Wondmeneh, Sarah; Zhao, Yiqiang; Leider, Jonathon P

2018-02-23

Research replication, or repeating a study de novo, is the scientific standard for building evidence and identifying spurious results. While replication is ideal, it is often expensive and time consuming. Reproducibility, or reanalysis of data to verify published findings, is one proposed minimum alternative standard. While a lack of research reproducibility has been identified as a serious and prevalent problem in biomedical research and a few other fields, little work has been done to examine the reproducibility of public health research. We examined reproducibility in 6 studies from the public health services and systems research subfield of public health research. Following the methods described in each of the 6 papers, we computed the descriptive and inferential statistics for each study. We compared our results with the original study results and examined the percentage differences in descriptive statistics and differences in effect size, significance, and precision of inferential statistics. All project work was completed in 2017. We found consistency between original and reproduced results for each paper in at least 1 of the 4 areas examined. However, we also found some inconsistency. We identified incorrect transcription of results and omitting detail about data management and analyses as the primary contributors to the inconsistencies. Increasing reproducibility, or reanalysis of data to verify published results, can improve the quality of science. Researchers, journals, employers, and funders can all play a role in improving the reproducibility of science through several strategies including publishing data and statistical code, using guidelines to write clear and complete methods sections, conducting reproducibility reviews, and incentivizing reproducible science.

Disclosure control using partially synthetic data for large-scale health surveys, with applications to CanCORS.

PubMed

Loong, Bronwyn; Zaslavsky, Alan M; He, Yulei; Harrington, David P

2013-10-30

Statistical agencies have begun to partially synthesize public-use data for major surveys to protect the confidentiality of respondents' identities and sensitive attributes by replacing high disclosure risk and sensitive variables with multiple imputations. To date, there are few applications of synthetic data techniques to large-scale healthcare survey data. Here, we describe partial synthesis of survey data collected by the Cancer Care Outcomes Research and Surveillance (CanCORS) project, a comprehensive observational study of the experiences, treatments, and outcomes of patients with lung or colorectal cancer in the USA. We review inferential methods for partially synthetic data and discuss selection of high disclosure risk variables for synthesis, specification of imputation models, and identification disclosure risk assessment. We evaluate data utility by replicating published analyses and comparing results using original and synthetic data and discuss practical issues in preserving inferential conclusions. We found that important subgroup relationships must be included in the synthetic data imputation model, to preserve the data utility of the observed data for a given analysis procedure. We conclude that synthetic CanCORS data are suited best for preliminary data analyses purposes. These methods address the requirement to share data in clinical research without compromising confidentiality. Copyright © 2013 John Wiley & Sons, Ltd.

Teaching Statistics Using Classic Psychology Research: An Activities-Based Approach

ERIC Educational Resources Information Center

Holmes, Karen Y.; Dodd, Brett A.

2012-01-01

In this article, we discuss a collection of active learning activities derived from classic psychology studies that illustrate the appropriate use of descriptive and inferential statistics. (Contains 2 tables.)

Technological Tools in the Introductory Statistics Classroom: Effects on Student Understanding of Inferential Statistics

ERIC Educational Resources Information Center

Meletiou-Mavrotheris, Maria

2004-01-01

While technology has become an integral part of introductory statistics courses, the programs typically employed are professional packages designed primarily for data analysis rather than for learning. Findings from several studies suggest that use of such software in the introductory statistics classroom may not be very effective in helping…

Differences in game-related statistics of basketball performance by game location for men's winning and losing teams.

PubMed

Gómez, Miguel A; Lorenzo, Alberto; Barakat, Rubén; Ortega, Enrique; Palao, José M

2008-02-01

The aim of the present study was to identify game-related statistics that differentiate winning and losing teams according to game location. The sample included 306 games of the 2004-2005 regular season of the Spanish professional men's league (ACB League). The independent variables were game location (home or away) and game result (win or loss). The game-related statistics registered were free throws (successful and unsuccessful), 2- and 3-point field goals (successful and unsuccessful), offensive and defensive rebounds, blocks, assists, fouls, steals, and turnovers. Descriptive and inferential analyses were done (one-way analysis of variance and discriminate analysis). The multivariate analysis showed that winning teams differ from losing teams in defensive rebounds (SC = .42) and in assists (SC = .38). Similarly, winning teams differ from losing teams when they play at home in defensive rebounds (SC = .40) and in assists (SC = .41). On the other hand, winning teams differ from losing teams when they play away in defensive rebounds (SC = .44), assists (SC = .30), successful 2-point field goals (SC = .31), and unsuccessful 3-point field goals (SC = -.35). Defensive rebounds and assists were the only game-related statistics common to all three analyses.

Using Facebook Data to Turn Introductory Statistics Students into Consultants

ERIC Educational Resources Information Center

Childers, Adam F.

2017-01-01

Facebook provides businesses and organizations with copious data that describe how users are interacting with their page. This data affords an excellent opportunity to turn introductory statistics students into consultants to analyze the Facebook data using descriptive and inferential statistics. This paper details a semester-long project that…

Illustrating Sampling Distribution of a Statistic: Minitab Revisited

ERIC Educational Resources Information Center

Johnson, H. Dean; Evans, Marc A.

2008-01-01

Understanding the concept of the sampling distribution of a statistic is essential for the understanding of inferential procedures. Unfortunately, this topic proves to be a stumbling block for students in introductory statistics classes. In efforts to aid students in their understanding of this concept, alternatives to a lecture-based mode of…

A Guerilla Guide to Common Problems in ‘Neurostatistics’: Essential Statistical Topics in Neuroscience

PubMed Central

Smith, Paul F.

2017-01-01

Effective inferential statistical analysis is essential for high quality studies in neuroscience. However, recently, neuroscience has been criticised for the poor use of experimental design and statistical analysis. Many of the statistical issues confronting neuroscience are similar to other areas of biology; however, there are some that occur more regularly in neuroscience studies. This review attempts to provide a succinct overview of some of the major issues that arise commonly in the analyses of neuroscience data. These include: the non-normal distribution of the data; inequality of variance between groups; extensive correlation in data for repeated measurements across time or space; excessive multiple testing; inadequate statistical power due to small sample sizes; pseudo-replication; and an over-emphasis on binary conclusions about statistical significance as opposed to effect sizes. Statistical analysis should be viewed as just another neuroscience tool, which is critical to the final outcome of the study. Therefore, it needs to be done well and it is a good idea to be proactive and seek help early, preferably before the study even begins. PMID:29371855

An audit of the statistics and the comparison with the parameter in the population

NASA Astrophysics Data System (ADS)

Bujang, Mohamad Adam; Sa'at, Nadiah; Joys, A. Reena; Ali, Mariana Mohamad

2015-10-01

The sufficient sample size that is needed to closely estimate the statistics for particular parameters are use to be an issue. Although sample size might had been calculated referring to objective of the study, however, it is difficult to confirm whether the statistics are closed with the parameter for a particular population. All these while, guideline that uses a p-value less than 0.05 is widely used as inferential evidence. Therefore, this study had audited results that were analyzed from various sub sample and statistical analyses and had compared the results with the parameters in three different populations. Eight types of statistical analysis and eight sub samples for each statistical analysis were analyzed. Results found that the statistics were consistent and were closed to the parameters when the sample study covered at least 15% to 35% of population. Larger sample size is needed to estimate parameter that involve with categorical variables compared with numerical variables. Sample sizes with 300 to 500 are sufficient to estimate the parameters for medium size of population.

A Guerilla Guide to Common Problems in 'Neurostatistics': Essential Statistical Topics in Neuroscience.

PubMed

Smith, Paul F

2017-01-01

Effective inferential statistical analysis is essential for high quality studies in neuroscience. However, recently, neuroscience has been criticised for the poor use of experimental design and statistical analysis. Many of the statistical issues confronting neuroscience are similar to other areas of biology; however, there are some that occur more regularly in neuroscience studies. This review attempts to provide a succinct overview of some of the major issues that arise commonly in the analyses of neuroscience data. These include: the non-normal distribution of the data; inequality of variance between groups; extensive correlation in data for repeated measurements across time or space; excessive multiple testing; inadequate statistical power due to small sample sizes; pseudo-replication; and an over-emphasis on binary conclusions about statistical significance as opposed to effect sizes. Statistical analysis should be viewed as just another neuroscience tool, which is critical to the final outcome of the study. Therefore, it needs to be done well and it is a good idea to be proactive and seek help early, preferably before the study even begins.

Methods in pharmacoepidemiology: a review of statistical analyses and data reporting in pediatric drug utilization studies.

PubMed

Sequi, Marco; Campi, Rita; Clavenna, Antonio; Bonati, Maurizio

2013-03-01

To evaluate the quality of data reporting and statistical methods performed in drug utilization studies in the pediatric population. Drug utilization studies evaluating all drug prescriptions to children and adolescents published between January 1994 and December 2011 were retrieved and analyzed. For each study, information on measures of exposure/consumption, the covariates considered, descriptive and inferential analyses, statistical tests, and methods of data reporting was extracted. An overall quality score was created for each study using a 12-item checklist that took into account the presence of outcome measures, covariates of measures, descriptive measures, statistical tests, and graphical representation. A total of 22 studies were reviewed and analyzed. Of these, 20 studies reported at least one descriptive measure. The mean was the most commonly used measure (18 studies), but only five of these also reported the standard deviation. Statistical analyses were performed in 12 studies, with the chi-square test being the most commonly performed test. Graphs were presented in 14 papers. Sixteen papers reported the number of drug prescriptions and/or packages, and ten reported the prevalence of the drug prescription. The mean quality score was 8 (median 9). Only seven of the 22 studies received a score of ≥10, while four studies received a score of <6. Our findings document that only a few of the studies reviewed applied statistical methods and reported data in a satisfactory manner. We therefore conclude that the methodology of drug utilization studies needs to be improved.

Quality of reporting statistics in two Indian pharmacology journals.

PubMed

Jaykaran; Yadav, Preeti

2011-04-01

To evaluate the reporting of the statistical methods in articles published in two Indian pharmacology journals. All original articles published since 2002 were downloaded from the journals' (Indian Journal of Pharmacology (IJP) and Indian Journal of Physiology and Pharmacology (IJPP)) website. These articles were evaluated on the basis of appropriateness of descriptive statistics and inferential statistics. Descriptive statistics was evaluated on the basis of reporting of method of description and central tendencies. Inferential statistics was evaluated on the basis of fulfilling of assumption of statistical methods and appropriateness of statistical tests. Values are described as frequencies, percentage, and 95% confidence interval (CI) around the percentages. Inappropriate descriptive statistics was observed in 150 (78.1%, 95% CI 71.7-83.3%) articles. Most common reason for this inappropriate descriptive statistics was use of mean ± SEM at the place of "mean (SD)" or "mean ± SD." Most common statistical method used was one-way ANOVA (58.4%). Information regarding checking of assumption of statistical test was mentioned in only two articles. Inappropriate statistical test was observed in 61 (31.7%, 95% CI 25.6-38.6%) articles. Most common reason for inappropriate statistical test was the use of two group test for three or more groups. Articles published in two Indian pharmacology journals are not devoid of statistical errors.

Change Detection in Rough Time Series

DTIC Science & Technology

2014-09-01

Business Statistics : An Inferential Approach, Dellen: San Francisco. [18] Winston, W. (1997) Operations Research Applications and Algorithms, Duxbury...distribution that can present significant challenges to conventional statistical tracking techniques. To address this problem the proposed method...applies hybrid fuzzy statistical techniques to series granules instead of to individual measures. Three examples demonstrated the robust nature of the

Design-based Sample and Probability Law-Assumed Sample: Their Role in Scientific Investigation.

ERIC Educational Resources Information Center

Ojeda, Mario Miguel; Sahai, Hardeo

2002-01-01

Discusses some key statistical concepts in probabilistic and non-probabilistic sampling to provide an overview for understanding the inference process. Suggests a statistical model constituting the basis of statistical inference and provides a brief review of the finite population descriptive inference and a quota sampling inferential theory.…

Strategies Used by Students to Compare Two Data Sets

ERIC Educational Resources Information Center

Reaburn, Robyn

2012-01-01

One of the common tasks of inferential statistics is to compare two data sets. Long before formal statistical procedures, however, students can be encouraged to make comparisons between data sets and therefore build up intuitive statistical reasoning. Such tasks also give meaning to the data collection students may do. This study describes the…

Applying Statistical Process Quality Control Methodology to Educational Settings.

ERIC Educational Resources Information Center

Blumberg, Carol Joyce

A subset of Statistical Process Control (SPC) methodology known as Control Charting is introduced. SPC methodology is a collection of graphical and inferential statistics techniques used to study the progress of phenomena over time. The types of control charts covered are the null X (mean), R (Range), X (individual observations), MR (moving…

Statistics for People Who (Think They) Hate Statistics. Third Edition

ERIC Educational Resources Information Center

Salkind, Neil J.

2007-01-01

This text teaches an often intimidating and difficult subject in a way that is informative, personable, and clear. The author takes students through various statistical procedures, beginning with correlation and graphical representation of data and ending with inferential techniques and analysis of variance. In addition, the text covers SPSS, and…

Developing Young Children's Emergent Inferential Practices in Statistics

ERIC Educational Resources Information Center

Makar, Katie

2016-01-01

Informal statistical inference has now been researched at all levels of schooling and initial tertiary study. Work in informal statistical inference is least understood in the early years, where children have had little if any exposure to data handling. A qualitative study in Australia was carried out through a series of teaching experiments with…

A Framework for Thinking about Informal Statistical Inference

ERIC Educational Resources Information Center

Makar, Katie; Rubin, Andee

2009-01-01

Informal inferential reasoning has shown some promise in developing students' deeper understanding of statistical processes. This paper presents a framework to think about three key principles of informal inference--generalizations "beyond the data," probabilistic language, and data as evidence. The authors use primary school classroom…

GTest: a software tool for graphical assessment of empirical distributions' Gaussianity.

PubMed

Barca, E; Bruno, E; Bruno, D E; Passarella, G

2016-03-01

In the present paper, the novel software GTest is introduced, designed for testing the normality of a user-specified empirical distribution. It has been implemented with two unusual characteristics; the first is the user option of selecting four different versions of the normality test, each of them suited to be applied to a specific dataset or goal, and the second is the inferential paradigm that informs the output of such tests: it is basically graphical and intrinsically self-explanatory. The concept of inference-by-eye is an emerging inferential approach which will find a successful application in the near future due to the growing need of widening the audience of users of statistical methods to people with informal statistical skills. For instance, the latest European regulation concerning environmental issues introduced strict protocols for data handling (data quality assurance, outliers detection, etc.) and information exchange (areal statistics, trend detection, etc.) between regional and central environmental agencies. Therefore, more and more frequently, laboratory and field technicians will be requested to utilize complex software applications for subjecting data coming from monitoring, surveying or laboratory activities to specific statistical analyses. Unfortunately, inferential statistics, which actually influence the decisional processes for the correct managing of environmental resources, are often implemented in a way which expresses its outcomes in a numerical form with brief comments in a strict statistical jargon (degrees of freedom, level of significance, accepted/rejected H0, etc.). Therefore, often, the interpretation of such outcomes is really difficult for people with poor statistical knowledge. In such framework, the paradigm of the visual inference can contribute to fill in such gap, providing outcomes in self-explanatory graphical forms with a brief comment in the common language. Actually, the difficulties experienced by colleagues and their request for an effective tool for addressing such difficulties motivated us in adopting the inference-by-eye paradigm and implementing an easy-to-use, quick and reliable statistical tool. GTest visualizes its outcomes as a modified version of the Q-Q plot. The application has been developed in Visual Basic for Applications (VBA) within MS Excel 2010, which demonstrated to have all the characteristics of robustness and reliability needed. GTest provides true graphical normality tests which are as reliable as any statistical quantitative approach but much easier to understand. The Q-Q plots have been integrated with the outlining of an acceptance region around the representation of the theoretical distribution, defined in accordance with the alpha level of significance and the data sample size. The test decision rule is the following: if the empirical scatterplot falls completely within the acceptance region, then it can be concluded that the empirical distribution fits the theoretical one at the given alpha level. A comprehensive case study has been carried out with simulated and real-world data in order to check the robustness and reliability of the software.

Students' Expressions of Uncertainty in Making Informal Inference When Engaged in a Statistical Investigation Using TinkerPlots

ERIC Educational Resources Information Center

Henriques, Ana; Oliveira, Hélia

2016-01-01

This paper reports on the results of a study investigating the potential to embed Informal Statistical Inference in statistical investigations, using TinkerPlots, for assisting 8th grade students' informal inferential reasoning to emerge, particularly their articulations of uncertainty. Data collection included students' written work on a…

An Inferential Confidence Interval Method of Establishing Statistical Equivalence that Corrects Tryon's (2001) Reduction Factor

ERIC Educational Resources Information Center

Tryon, Warren W.; Lewis, Charles

2008-01-01

Evidence of group matching frequently takes the form of a nonsignificant test of statistical difference. Theoretical hypotheses of no difference are also tested in this way. These practices are flawed in that null hypothesis statistical testing provides evidence against the null hypothesis and failing to reject H[subscript 0] is not evidence…

Tri-Center Analysis: Determining Measures of Trichotomous Central Tendency for the Parametric Analysis of Tri-Squared Test Results

ERIC Educational Resources Information Center

Osler, James Edward

2014-01-01

This monograph provides an epistemological rational for the design of a novel post hoc statistical measure called "Tri-Center Analysis". This new statistic is designed to analyze the post hoc outcomes of the Tri-Squared Test. In Tri-Center Analysis trichotomous parametric inferential parametric statistical measures are calculated from…

Against Inferential Statistics: How and Why Current Statistics Teaching Gets It Wrong

ERIC Educational Resources Information Center

White, Patrick; Gorard, Stephen

2017-01-01

Recent concerns about a shortage of capacity for statistical and numerical analysis skills among social science students and researchers have prompted a range of initiatives aiming to improve teaching in this area. However, these projects have rarely re-evaluated the content of what is taught to students and have instead focussed primarily on…

Guidelines 13 and 14—Prediction uncertainty

USGS Publications Warehouse

Hill, Mary C.; Tiedeman, Claire

2005-01-01

An advantage of using optimization for model development and calibration is that optimization provides methods for evaluating and quantifying prediction uncertainty. Both deterministic and statistical methods can be used. Guideline 13 discusses using regression and post-audits, which we classify as deterministic methods. Guideline 14 discusses inferential statistics and Monte Carlo methods, which we classify as statistical methods.

Considerations in the statistical analysis of clinical trials in periodontitis.

PubMed

Imrey, P B

1986-05-01

Adult periodontitis has been described as a chronic infectious process exhibiting sporadic, acute exacerbations which cause quantal, localized losses of dental attachment. Many analytic problems of periodontal trials are similar to those of other chronic diseases. However, the episodic, localized, infrequent, and relatively unpredictable behavior of exacerbations, coupled with measurement error difficulties, cause some specific problems. Considerable controversy exists as to the proper selection and treatment of multiple site data from the same patient for group comparisons for epidemiologic or therapeutic evaluative purposes. This paper comments, with varying degrees of emphasis, on several issues pertinent to the analysis of periodontal trials. Considerable attention is given to the ways in which measurement variability may distort analytic results. Statistical treatments of multiple site data for descriptive summaries are distinguished from treatments for formal statistical inference to validate therapeutic effects. Evidence suggesting that sites behave independently is contested. For inferential analyses directed at therapeutic or preventive effects, analytic models based on site independence are deemed unsatisfactory. Methods of summarization that may yield more powerful analyses than all-site mean scores, while retaining appropriate treatment of inter-site associations, are suggested. Brief comments and opinions on an assortment of other issues in clinical trial analysis are preferred.

Analysis of Statistical Methods Currently used in Toxicology Journals

PubMed Central

Na, Jihye; Yang, Hyeri

2014-01-01

Statistical methods are frequently used in toxicology, yet it is not clear whether the methods employed by the studies are used consistently and conducted based on sound statistical grounds. The purpose of this paper is to describe statistical methods used in top toxicology journals. More specifically, we sampled 30 papers published in 2014 from Toxicology and Applied Pharmacology, Archives of Toxicology, and Toxicological Science and described methodologies used to provide descriptive and inferential statistics. One hundred thirteen endpoints were observed in those 30 papers, and most studies had sample size less than 10, with the median and the mode being 6 and 3 & 6, respectively. Mean (105/113, 93%) was dominantly used to measure central tendency, and standard error of the mean (64/113, 57%) and standard deviation (39/113, 34%) were used to measure dispersion, while few studies provide justifications regarding why the methods being selected. Inferential statistics were frequently conducted (93/113, 82%), with one-way ANOVA being most popular (52/93, 56%), yet few studies conducted either normality or equal variance test. These results suggest that more consistent and appropriate use of statistical method is necessary which may enhance the role of toxicology in public health. PMID:25343012

Analysis of Statistical Methods Currently used in Toxicology Journals.

PubMed

Na, Jihye; Yang, Hyeri; Bae, SeungJin; Lim, Kyung-Min

2014-09-01

Statistical methods are frequently used in toxicology, yet it is not clear whether the methods employed by the studies are used consistently and conducted based on sound statistical grounds. The purpose of this paper is to describe statistical methods used in top toxicology journals. More specifically, we sampled 30 papers published in 2014 from Toxicology and Applied Pharmacology, Archives of Toxicology, and Toxicological Science and described methodologies used to provide descriptive and inferential statistics. One hundred thirteen endpoints were observed in those 30 papers, and most studies had sample size less than 10, with the median and the mode being 6 and 3 & 6, respectively. Mean (105/113, 93%) was dominantly used to measure central tendency, and standard error of the mean (64/113, 57%) and standard deviation (39/113, 34%) were used to measure dispersion, while few studies provide justifications regarding why the methods being selected. Inferential statistics were frequently conducted (93/113, 82%), with one-way ANOVA being most popular (52/93, 56%), yet few studies conducted either normality or equal variance test. These results suggest that more consistent and appropriate use of statistical method is necessary which may enhance the role of toxicology in public health.

Appraisal of within- and between-laboratory reproducibility of non-radioisotopic local lymph node assay using flow cytometry, LLNA:BrdU-FCM: comparison of OECD TG429 performance standard and statistical evaluation.

PubMed

Yang, Hyeri; Na, Jihye; Jang, Won-Hee; Jung, Mi-Sook; Jeon, Jun-Young; Heo, Yong; Yeo, Kyung-Wook; Jo, Ji-Hoon; Lim, Kyung-Min; Bae, SeungJin

2015-05-05

Mouse local lymph node assay (LLNA, OECD TG429) is an alternative test replacing conventional guinea pig tests (OECD TG406) for the skin sensitization test but the use of a radioisotopic agent, (3)H-thymidine, deters its active dissemination. New non-radioisotopic LLNA, LLNA:BrdU-FCM employs a non-radioisotopic analog, 5-bromo-2'-deoxyuridine (BrdU) and flow cytometry. For an analogous method, OECD TG429 performance standard (PS) advises that two reference compounds be tested repeatedly and ECt(threshold) values obtained must fall within acceptable ranges to prove within- and between-laboratory reproducibility. However, this criteria is somewhat arbitrary and sample size of ECt is less than 5, raising concerns about insufficient reliability. Here, we explored various statistical methods to evaluate the reproducibility of LLNA:BrdU-FCM with stimulation index (SI), the raw data for ECt calculation, produced from 3 laboratories. Descriptive statistics along with graphical representation of SI was presented. For inferential statistics, parametric and non-parametric methods were applied to test the reproducibility of SI of a concurrent positive control and the robustness of results were investigated. Descriptive statistics and graphical representation of SI alone could illustrate the within- and between-laboratory reproducibility. Inferential statistics employing parametric and nonparametric methods drew similar conclusion. While all labs passed within- and between-laboratory reproducibility criteria given by OECD TG429 PS based on ECt values, statistical evaluation based on SI values showed that only two labs succeeded in achieving within-laboratory reproducibility. For those two labs that satisfied the within-lab reproducibility, between-laboratory reproducibility could be also attained based on inferential as well as descriptive statistics. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Quality of reporting statistics in two Indian pharmacology journals

PubMed Central

Jaykaran; Yadav, Preeti

2011-01-01

Objective: To evaluate the reporting of the statistical methods in articles published in two Indian pharmacology journals. Materials and Methods: All original articles published since 2002 were downloaded from the journals’ (Indian Journal of Pharmacology (IJP) and Indian Journal of Physiology and Pharmacology (IJPP)) website. These articles were evaluated on the basis of appropriateness of descriptive statistics and inferential statistics. Descriptive statistics was evaluated on the basis of reporting of method of description and central tendencies. Inferential statistics was evaluated on the basis of fulfilling of assumption of statistical methods and appropriateness of statistical tests. Values are described as frequencies, percentage, and 95% confidence interval (CI) around the percentages. Results: Inappropriate descriptive statistics was observed in 150 (78.1%, 95% CI 71.7–83.3%) articles. Most common reason for this inappropriate descriptive statistics was use of mean ± SEM at the place of “mean (SD)” or “mean ± SD.” Most common statistical method used was one-way ANOVA (58.4%). Information regarding checking of assumption of statistical test was mentioned in only two articles. Inappropriate statistical test was observed in 61 (31.7%, 95% CI 25.6–38.6%) articles. Most common reason for inappropriate statistical test was the use of two group test for three or more groups. Conclusion: Articles published in two Indian pharmacology journals are not devoid of statistical errors. PMID:21772766

Introductory Life Science Mathematics and Quantitative Neuroscience Courses

ERIC Educational Resources Information Center

Duffus, Dwight; Olifer, Andrei

2010-01-01

We describe two sets of courses designed to enhance the mathematical, statistical, and computational training of life science undergraduates at Emory College. The first course is an introductory sequence in differential and integral calculus, modeling with differential equations, probability, and inferential statistics. The second is an…

Role strain among male RNs in the critical care setting: Perceptions of an unfriendly workplace.

PubMed

Carte, Nicholas S; Williams, Collette

2017-12-01

Traditionally, nursing has been a female-dominated profession. Men employed as registered nurses have been in the minority and little is known about the experiences of this demographic. The purpose of this descriptive, quantitative study was to understand the relationship between the variables of demographics and causes of role strain among male nurses in critical care settings. The Sherrod Role Strain Scale assesses role strain within the context of role conflict, role overload, role ambiguity and role incongruity. Data analysis of the results included descriptive and inferential statistics. Inferential statistics involved the use of repeated measures ANOVA testing for significant difference in the causes of role strain between male nurses employed in critical care settings and a post hoc comparison of specific demographic data using multivariate analyses of variance (MANOVAs). Data from 37 male nurses in critical care settings from the northeast of the United States were used to calculate descriptive statistics standard deviation, mean of the data analysis and results of the repeated ANOVA and the post hoc secondary MANOVA analysis. The descriptive data showed that all participants worked full-time. There was an even split from those participants who worked day shift (46%) vs. night shift (43%), most the participants indicated they had 15 years or more experience as an registered nurse (54%). Significant findings of this study include two causes of role strain in male nurses employed in critical care settings which are: role ambiguity and role overload based on ethnicity. Consistent with previous research findings, the results of this study suggest that male registered nurses employed in critical care settings do experience role strain. The two main causes of role strain in male nurses are role ambiguity and role overload. Copyright © 2017. Published by Elsevier Ltd.

Evaluating observations in the context of predictions for the death valley regional groundwater system

USGS Publications Warehouse

Ely, D.M.; Hill, M.C.; Tiedeman, C.R.; O'Brien, G. M.

2004-01-01

When a model is calibrated by nonlinear regression, calculated diagnostic and inferential statistics provide a wealth of information about many aspects of the system. This work uses linear inferential statistics that are measures of prediction uncertainty to investigate the likely importance of continued monitoring of hydraulic head to the accuracy of model predictions. The measurements evaluated are hydraulic heads; the predictions of interest are subsurface transport from 15 locations. The advective component of transport is considered because it is the component most affected by the system dynamics represented by the regional-scale model being used. The problem is addressed using the capabilities of the U.S. Geological Survey computer program MODFLOW-2000, with its Advective Travel Observation (ADV) Package. Copyright ASCE 2004.

Developing Sampling Frame for Case Study: Challenges and Conditions

ERIC Educational Resources Information Center

Ishak, Noriah Mohd; Abu Bakar, Abu Yazid

2014-01-01

Due to statistical analysis, the issue of random sampling is pertinent to any quantitative study. Unlike quantitative study, the elimination of inferential statistical analysis, allows qualitative researchers to be more creative in dealing with sampling issue. Since results from qualitative study cannot be generalized to the bigger population,…

Is It True That "Blonds Have More Fun"?

ERIC Educational Resources Information Center

Bonsangue, Martin V.

1992-01-01

Describes the model for decision making used in inferential statistics and real-world applications that parallel the statistical model. Discusses two activities that ask students to write about a personal decision-making experience and create a mock trial in which the class makes the decision of guilt or innocence. (MDH)

WASP (Write a Scientific Paper) using Excel - 6: Standard error and confidence interval.

PubMed

Grech, Victor

2018-03-01

The calculation of descriptive statistics includes the calculation of standard error and confidence interval, an inevitable component of data analysis in inferential statistics. This paper provides pointers as to how to do this in Microsoft Excel™. Copyright © 2018 Elsevier B.V. All rights reserved.

Formative Use of Intuitive Analysis of Variance

ERIC Educational Resources Information Center

Trumpower, David L.

2013-01-01

Students' informal inferential reasoning (IIR) is often inconsistent with the normative logic underlying formal statistical methods such as Analysis of Variance (ANOVA), even after instruction. In two experiments reported here, student's IIR was assessed using an intuitive ANOVA task at the beginning and end of a statistics course. In both…

Statistics as Unbiased Estimators: Exploring the Teaching of Standard Deviation

ERIC Educational Resources Information Center

Wasserman, Nicholas H.; Casey, Stephanie; Champion, Joe; Huey, Maryann

2017-01-01

This manuscript presents findings from a study about the knowledge for and planned teaching of standard deviation. We investigate how understanding variance as an unbiased (inferential) estimator--not just a descriptive statistic for the variation (spread) in data--is related to teachers' instruction regarding standard deviation, particularly…

Inference and the Introductory Statistics Course

ERIC Educational Resources Information Center

Pfannkuch, Maxine; Regan, Matt; Wild, Chris; Budgett, Stephanie; Forbes, Sharleen; Harraway, John; Parsonage, Ross

2011-01-01

This article sets out some of the rationale and arguments for making major changes to the teaching and learning of statistical inference in introductory courses at our universities by changing from a norm-based, mathematical approach to more conceptually accessible computer-based approaches. The core problem of the inferential argument with its…

Earth Observation System Flight Dynamics System Covariance Realism

NASA Technical Reports Server (NTRS)

Zaidi, Waqar H.; Tracewell, David

2016-01-01

This presentation applies a covariance realism technique to the National Aeronautics and Space Administration (NASA) Earth Observation System (EOS) Aqua and Aura spacecraft based on inferential statistics. The technique consists of three parts: collection calculation of definitive state estimates through orbit determination, calculation of covariance realism test statistics at each covariance propagation point, and proper assessment of those test statistics.

First- and fifth-year medical students' intention for emigration and practice abroad: a case study of Serbia.

PubMed

Santric-Milicevic, Milena M; Terzic-Supic, Zorica J; Matejic, Bojana R; Vasic, Vladimir; Ricketts, Thomas C

2014-11-01

Health worker migration is causing profound health, safety, social, economic and political challenges to countries without special policies for health professionals' mobility. This study describes the prevalence of migration intentions among medical undergraduates, identifies underlying factors related to migration intention and describes subsequent actions in Serbia. Data were captured by survey of 938 medical students from Belgrade University (94% response rate), representing two thirds of matching students in Serbia stated their intentions, reasons and obstacles regarding work abroad. Statistical analyses included descriptive statistics and a sequential multivariate logistic regression. Based on descriptive and inferential statistics we were able to predict the profile of first and fifth year medical students who intend or have plans to work abroad. This study contributes to our understanding of the causes and correlates of intent to migrate and could serve to raise awareness and point to the valuable policy options to manage migration. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Quantifying the impact of between-study heterogeneity in multivariate meta-analyses

PubMed Central

Jackson, Dan; White, Ian R; Riley, Richard D

2012-01-01

Measures that quantify the impact of heterogeneity in univariate meta-analysis, including the very popular I2 statistic, are now well established. Multivariate meta-analysis, where studies provide multiple outcomes that are pooled in a single analysis, is also becoming more commonly used. The question of how to quantify heterogeneity in the multivariate setting is therefore raised. It is the univariate R2 statistic, the ratio of the variance of the estimated treatment effect under the random and fixed effects models, that generalises most naturally, so this statistic provides our basis. This statistic is then used to derive a multivariate analogue of I2, which we call . We also provide a multivariate H2 statistic, the ratio of a generalisation of Cochran's heterogeneity statistic and its associated degrees of freedom, with an accompanying generalisation of the usual I2 statistic, . Our proposed heterogeneity statistics can be used alongside all the usual estimates and inferential procedures used in multivariate meta-analysis. We apply our methods to some real datasets and show how our statistics are equally appropriate in the context of multivariate meta-regression, where study level covariate effects are included in the model. Our heterogeneity statistics may be used when applying any procedure for fitting the multivariate random effects model. Copyright © 2012 John Wiley & Sons, Ltd. PMID:22763950

CADDIS Volume 4. Data Analysis: Basic Principles & Issues

EPA Pesticide Factsheets

Use of inferential statistics in causal analysis, introduction to data independence and autocorrelation, methods to identifying and control for confounding variables, references for the Basic Principles section of Data Analysis.

An Analysis of Research Trends in Dissertations and Theses Studying Blended Learning

ERIC Educational Resources Information Center

Drysdale, Jeffery S.; Graham, Charles R.; Spring, Kristian J.; Halverson, Lisa R.

2013-01-01

This article analyzes the research of 205 doctoral dissertations and masters' theses in the domain of blended learning. A summary of trends regarding the growth and context of blended learning research is presented. Methodological trends are described in terms of qualitative, inferential statistics, descriptive statistics, and combined approaches…

Self-Esteem and Academic Achievement of High School Students

ERIC Educational Resources Information Center

Moradi Sheykhjan, Tohid; Jabari, Kamran; Rajeswari, K.

2014-01-01

The primary purpose of this study was to determine the influence of self-esteem on academic achievement among high school students in Miandoab City of Iran. The methodology of the research is descriptive and correlation that descriptive and inferential statistics were used to analyze the data. Statistical Society includes male and female high…

The Development and Demonstration of Multiple Regression Models for Operant Conditioning Questions.

ERIC Educational Resources Information Center

Fanning, Fred; Newman, Isadore

Based on the assumption that inferential statistics can make the operant conditioner more sensitive to possible significant relationships, regressions models were developed to test the statistical significance between slopes and Y intercepts of the experimental and control group subjects. These results were then compared to the traditional operant…

A Modeling Approach to the Development of Students' Informal Inferential Reasoning

ERIC Educational Resources Information Center

Doerr, Helen M.; Delmas, Robert; Makar, Katie

2017-01-01

Teaching from an informal statistical inference perspective can address the challenge of teaching statistics in a coherent way. We argue that activities that promote model-based reasoning address two additional challenges: providing a coherent sequence of topics and promoting the application of knowledge to novel situations. We take a models and…

Ecological statistics of Gestalt laws for the perceptual organization of contours.

PubMed

Elder, James H; Goldberg, Richard M

2002-01-01

Although numerous studies have measured the strength of visual grouping cues for controlled psychophysical stimuli, little is known about the statistical utility of these various cues for natural images. In this study, we conducted experiments in which human participants trace perceived contours in natural images. These contours are automatically mapped to sequences of discrete tangent elements detected in the image. By examining relational properties between pairs of successive tangents on these traced curves, and between randomly selected pairs of tangents, we are able to estimate the likelihood distributions required to construct an optimal Bayesian model for contour grouping. We employed this novel methodology to investigate the inferential power of three classical Gestalt cues for contour grouping: proximity, good continuation, and luminance similarity. The study yielded a number of important results: (1) these cues, when appropriately defined, are approximately uncorrelated, suggesting a simple factorial model for statistical inference; (2) moderate image-to-image variation of the statistics indicates the utility of general probabilistic models for perceptual organization; (3) these cues differ greatly in their inferential power, proximity being by far the most powerful; and (4) statistical modeling of the proximity cue indicates a scale-invariant power law in close agreement with prior psychophysics.

Stress among Academic Staff and Students' Satisfaction of Their Performances in Payame Noor University of Miandoab

ERIC Educational Resources Information Center

Jabari, Kamran; Moradi Sheykhjan, Tohid

2015-01-01

Present study examined the relationship between stress among academic staff and students' satisfaction of their performances in Payame Noor University (PNU) of Miandoab City, Iran in 2014. The methodology of the research is descriptive and correlation that descriptive and inferential statistics were used to analyze the data. Statistical Society…

Statistics in the pharmacy literature.

PubMed

Lee, Charlene M; Soin, Herpreet K; Einarson, Thomas R

2004-09-01

Research in statistical methods is essential for maintenance of high quality of the published literature. To update previous reports of the types and frequencies of statistical terms and procedures in research studies of selected professional pharmacy journals. We obtained all research articles published in 2001 in 6 journals: American Journal of Health-System Pharmacy, The Annals of Pharmacotherapy, Canadian Journal of Hospital Pharmacy, Formulary, Hospital Pharmacy, and Journal of the American Pharmaceutical Association. Two independent reviewers identified and recorded descriptive and inferential statistical terms/procedures found in the methods, results, and discussion sections of each article. Results were determined by tallying the total number of times, as well as the percentage, that each statistical term or procedure appeared in the articles. One hundred forty-four articles were included. Ninety-eight percent employed descriptive statistics; of these, 28% used only descriptive statistics. The most common descriptive statistical terms were percentage (90%), mean (74%), standard deviation (58%), and range (46%). Sixty-nine percent of the articles used inferential statistics, the most frequent being chi(2) (33%), Student's t-test (26%), Pearson's correlation coefficient r (18%), ANOVA (14%), and logistic regression (11%). Statistical terms and procedures were found in nearly all of the research articles published in pharmacy journals. Thus, pharmacy education should aim to provide current and future pharmacists with an understanding of the common statistical terms and procedures identified to facilitate the appropriate appraisal and consequential utilization of the information available in research articles.

Comparing associative, statistical, and inferential reasoning accounts of human contingency learning.

PubMed

Pineño, Oskar; Miller, Ralph R

2007-03-01

For more than two decades, researchers have contrasted the relative merits of associative and statistical theories as accounts of human contingency learning. This debate, still far from resolution, has led to further refinement of models within each family of theories. More recently, a third theoretical view has joined the debate: the inferential reasoning account. The explanations of these three accounts differ critically in many aspects, such as level of analysis and their emphasis on different steps within the information-processing sequence. Also, each account has important advantages (as well as critical flaws) and emphasizes experimental evidence that poses problems to the others. Some hybrid models of human contingency learning have attempted to reconcile certain features of these accounts, thereby benefiting from some of the unique advantages of different families of accounts. A comparison of these families of accounts will help us appreciate the challenges that research on human contingency learning will face over the coming years.

Statistical Analysis of Research Data | Center for Cancer Research

Cancer.gov

Recent advances in cancer biology have resulted in the need for increased statistical analysis of research data. The Statistical Analysis of Research Data (SARD) course will be held on April 5-6, 2018 from 9 a.m.-5 p.m. at the National Institutes of Health's Natcher Conference Center, Balcony C on the Bethesda Campus. SARD is designed to provide an overview on the general principles of statistical analysis of research data.  The first day will feature univariate data analysis, including descriptive statistics, probability distributions, one- and two-sample inferential statistics.

Progressive statistics for studies in sports medicine and exercise science.

PubMed

Hopkins, William G; Marshall, Stephen W; Batterham, Alan M; Hanin, Juri

2009-01-01

Statistical guidelines and expert statements are now available to assist in the analysis and reporting of studies in some biomedical disciplines. We present here a more progressive resource for sample-based studies, meta-analyses, and case studies in sports medicine and exercise science. We offer forthright advice on the following controversial or novel issues: using precision of estimation for inferences about population effects in preference to null-hypothesis testing, which is inadequate for assessing clinical or practical importance; justifying sample size via acceptable precision or confidence for clinical decisions rather than via adequate power for statistical significance; showing SD rather than SEM, to better communicate the magnitude of differences in means and nonuniformity of error; avoiding purely nonparametric analyses, which cannot provide inferences about magnitude and are unnecessary; using regression statistics in validity studies, in preference to the impractical and biased limits of agreement; making greater use of qualitative methods to enrich sample-based quantitative projects; and seeking ethics approval for public access to the depersonalized raw data of a study, to address the need for more scrutiny of research and better meta-analyses. Advice on less contentious issues includes the following: using covariates in linear models to adjust for confounders, to account for individual differences, and to identify potential mechanisms of an effect; using log transformation to deal with nonuniformity of effects and error; identifying and deleting outliers; presenting descriptive, effect, and inferential statistics in appropriate formats; and contending with bias arising from problems with sampling, assignment, blinding, measurement error, and researchers' prejudices. This article should advance the field by stimulating debate, promoting innovative approaches, and serving as a useful checklist for authors, reviewers, and editors.

The Thurgood Marshall School of Law Empirical Findings: A Report of the 2012 Friday Academy Attendance and Statistical Comparisons of 1L GPA (Predicted and Actual)

ERIC Educational Resources Information Center

Kadhi, T.; Rudley, D.; Holley, D.; Krishna, K.; Ogolla, C.; Rene, E.; Green, T.

2010-01-01

The following report of descriptive statistics addresses the attendance of the 2012 class and the average Actual and Predicted 1L Grade Point Averages (GPAs). Correlational and Inferential statistics are also run on the variables of Attendance (Y/N), Attendance Number of Times, Actual GPA, and Predictive GPA (Predictive GPA is defined as the Index…

Learning Model and Form of Assesment toward the Inferensial Statistical Achievement by Controlling Numeric Thinking Skills

ERIC Educational Resources Information Center

Widiana, I. Wayan; Jampel, I. Nyoman

2016-01-01

This study aimed to find out the effect of learning model and form of assessment toward inferential statistical achievement after controlling numeric thinking skills. This study was quasi experimental study with 130 students as the sample. The data analysis used ANCOVA. After controlling numeric thinking skills, the result of this study show that:…

Letting the daylight in: Reviewing the reviewers and other ways to maximize transparency in science

PubMed Central

Wicherts, Jelte M.; Kievit, Rogier A.; Bakker, Marjan; Borsboom, Denny

2012-01-01

With the emergence of online publishing, opportunities to maximize transparency of scientific research have grown considerably. However, these possibilities are still only marginally used. We argue for the implementation of (1) peer-reviewed peer review, (2) transparent editorial hierarchies, and (3) online data publication. First, peer-reviewed peer review entails a community-wide review system in which reviews are published online and rated by peers. This ensures accountability of reviewers, thereby increasing academic quality of reviews. Second, reviewers who write many highly regarded reviews may move to higher editorial positions. Third, online publication of data ensures the possibility of independent verification of inferential claims in published papers. This counters statistical errors and overly positive reporting of statistical results. We illustrate the benefits of these strategies by discussing an example in which the classical publication system has gone awry, namely controversial IQ research. We argue that this case would have likely been avoided using more transparent publication practices. We argue that the proposed system leads to better reviews, meritocratic editorial hierarchies, and a higher degree of replicability of statistical analyses. PMID:22536180

The use and misuse of statistical methodologies in pharmacology research.

PubMed

Marino, Michael J

2014-01-01

Descriptive, exploratory, and inferential statistics are necessary components of hypothesis-driven biomedical research. Despite the ubiquitous need for these tools, the emphasis on statistical methods in pharmacology has become dominated by inferential methods often chosen more by the availability of user-friendly software than by any understanding of the data set or the critical assumptions of the statistical tests. Such frank misuse of statistical methodology and the quest to reach the mystical α<0.05 criteria has hampered research via the publication of incorrect analysis driven by rudimentary statistical training. Perhaps more critically, a poor understanding of statistical tools limits the conclusions that may be drawn from a study by divorcing the investigator from their own data. The net result is a decrease in quality and confidence in research findings, fueling recent controversies over the reproducibility of high profile findings and effects that appear to diminish over time. The recent development of "omics" approaches leading to the production of massive higher dimensional data sets has amplified these issues making it clear that new approaches are needed to appropriately and effectively mine this type of data. Unfortunately, statistical education in the field has not kept pace. This commentary provides a foundation for an intuitive understanding of statistics that fosters an exploratory approach and an appreciation for the assumptions of various statistical tests that hopefully will increase the correct use of statistics, the application of exploratory data analysis, and the use of statistical study design, with the goal of increasing reproducibility and confidence in the literature. Copyright © 2013. Published by Elsevier Inc.

The best motivator priorities parents choose via analytical hierarchy process

NASA Astrophysics Data System (ADS)

Farah, R. N.; Latha, P.

2015-05-01

Motivation is probably the most important factor that educators can target in order to improve learning. Numerous cross-disciplinary theories have been postulated to explain motivation. While each of these theories has some truth, no single theory seems to adequately explain all human motivation. The fact is that human beings in general and pupils in particular are complex creatures with complex needs and desires. In this paper, Analytic Hierarchy Process (AHP) has been proposed as an emerging solution to move towards too large, dynamic and complex real world multi-criteria decision making problems in selecting the most suitable motivator when choosing school for their children. Data were analyzed using SPSS 17.0 ("Statistical Package for Social Science") software. Statistic testing used are descriptive and inferential statistic. Descriptive statistic used to identify respondent pupils and parents demographic factors. The statistical testing used to determine the pupils and parents highest motivator priorities and parents' best priorities using AHP to determine the criteria chosen by parents such as school principals, teachers, pupils and parents. The moderating factors are selected schools based on "Standard Kualiti Pendidikan Malaysia" (SKPM) in Ampang. Inferential statistics such as One-way ANOVA used to get the significant and data used to calculate the weightage of AHP. School principals is found to be the best motivator for parents in choosing school for their pupils followed by teachers, parents and pupils.

Prevalence of Hyposalivation in Patients with Systemic Lupus Erythematosus in a Brazilian Subpopulation

PubMed Central

Leite, Cristhiane Almeida; Galera, Marcial Francis; Espinosa, Mariano Martínez; de Lima, Paulo Ricardo Teles; Fernandes, Vander; Borges, Álvaro Henrique; Dias, Eliane Pedra

2015-01-01

Background. Systemic lupus erythematosus (SLE) is a chronic inflammatory, multisystem, and autoimmune disease. Objective. The aim of this study was to describe the prevalence of hyposalivation in SLE patients and evaluate factors associated. Methods. This is a cross-sectional study developed at the Cuiaba University General Hospital (UNIC-HGU), Mato Grosso, Brazil. The study population consisted of female SLE patients treated at this hospital from 06/2010 to 12/2012. Unstimulated salivary flow rates (SFRs) were measured. Descriptive and inferential analyses were performed in all cases using a significance level P < 0.05. Results. The results showed that 79% of patients with systemic lupus erythematosus suffered from hyposalivation and that the disease activity and age in years were the factors that resulted in statistically significant differences. Conclusion. The activity of the disease, age >27 years, and the drugs used were factors associated with hyposalivation, resulting in a statistically significant decrease in saliva production. PMID:25649631

WASP (Write a Scientific Paper) using Excel -5: Quartiles and standard deviation.

PubMed

Grech, Victor

2018-03-01

The almost inevitable descriptive statistics exercise that is undergone once data collection is complete, prior to inferential statistics, requires the acquisition of basic descriptors which may include standard deviation and quartiles. This paper provides pointers as to how to do this in Microsoft Excel™ and explains the relationship between the two. Copyright © 2018 Elsevier B.V. All rights reserved.

Coordination of Oral and Laryngeal Movements in the Perceptually Fluent Speech of Adults Who Stutter

ERIC Educational Resources Information Center

Max, Ludo; Gracco, Vincent L.

2005-01-01

This work investigated whether stuttering and nonstuttering adults differ in the coordination of oral and laryngeal movements during the production of perceptually fluent speech. This question was addressed by completing correlation analyses that extended previous acoustic studies by others as well as inferential analyses based on the…

Application of pedagogy reflective in statistical methods course and practicum statistical methods

NASA Astrophysics Data System (ADS)

Julie, Hongki

2017-08-01

Subject Elementary Statistics, Statistical Methods and Statistical Methods Practicum aimed to equip students of Mathematics Education about descriptive statistics and inferential statistics. The students' understanding about descriptive and inferential statistics were important for students on Mathematics Education Department, especially for those who took the final task associated with quantitative research. In quantitative research, students were required to be able to present and describe the quantitative data in an appropriate manner, to make conclusions from their quantitative data, and to create relationships between independent and dependent variables were defined in their research. In fact, when students made their final project associated with quantitative research, it was not been rare still met the students making mistakes in the steps of making conclusions and error in choosing the hypothetical testing process. As a result, they got incorrect conclusions. This is a very fatal mistake for those who did the quantitative research. There were some things gained from the implementation of reflective pedagogy on teaching learning process in Statistical Methods and Statistical Methods Practicum courses, namely: 1. Twenty two students passed in this course and and one student did not pass in this course. 2. The value of the most accomplished student was A that was achieved by 18 students. 3. According all students, their critical stance could be developed by them, and they could build a caring for each other through a learning process in this course. 4. All students agreed that through a learning process that they undergo in the course, they can build a caring for each other.

WASP (Write a Scientific Paper) using Excel 9: Analysis of variance.

PubMed

Grech, Victor

2018-06-01

Analysis of variance (ANOVA) may be required by researchers as an inferential statistical test when more than two means require comparison. This paper explains how to perform ANOVA in Microsoft Excel. Copyright © 2018 Elsevier B.V. All rights reserved.

Applying behavior-analytic methodology to the science and practice of environmental enrichment in zoos and aquariums.

PubMed

Alligood, Christina A; Dorey, Nicole R; Mehrkam, Lindsay R; Leighty, Katherine A

2017-05-01

Environmental enrichment in zoos and aquariums is often evaluated at two overlapping levels: published research and day-to-day institutional record keeping. Several authors have discussed ongoing challenges with small sample sizes in between-groups zoological research and have cautioned against the inappropriate use of inferential statistics (Shepherdson, , International Zoo Yearbook, 38, 118-124; Shepherdson, Lewis, Carlstead, Bauman, & Perrin, Applied Animal Behaviour Science, 147, 298-277; Swaisgood, , Applied Animal Behaviour Science, 102, 139-162; Swaisgood & Shepherdson, , Zoo Biology, 24, 499-518). Multi-institutional studies are the typically-prescribed solution, but these are expensive and difficult to carry out. Kuhar ( Zoo Biology, 25, 339-352) provided a reminder that inferential statistics are only necessary when one wishes to draw general conclusions at the population level. Because welfare is assessed at the level of the individual animal, we argue that evaluations of enrichment efficacy are often instances in which inferential statistics may be neither necessary nor appropriate. In recent years, there have been calls for the application of behavior-analytic techniques to zoo animal behavior management, including environmental enrichment (e.g., Bloomsmith, Marr, & Maple, , Applied Animal Behaviour Science, 102, 205-222; Tarou & Bashaw, , Applied Animal Behaviour Science, 102, 189-204). Single-subject (also called single-case, or small-n) designs provide a means of designing evaluations of enrichment efficacy based on an individual's behavior. We discuss how these designs might apply to research and practice goals at zoos and aquariums, contrast them with standard practices in the field, and give examples of how each could be successfully applied in a zoo or aquarium setting. © 2017 Wiley Periodicals, Inc.

Body Mass Index Class Is Independently Associated With Health-Related Quality of Life After Primary Total Hip Arthroplasty: An Institutional Registry-Based Study.

PubMed

McLawhorn, Alexander S; Steinhaus, Michael E; Southren, Daniel L; Lee, Yuo-Yu; Dodwell, Emily R; Figgie, Mark P

2017-01-01

The purpose of this study was to compare the health-related quality of life (HRQoL) of patients across World Health Organization (WHO) body mass index (BMI) classes before and after total hip arthroplasty (THA). Patients with end-stage hip osteoarthritis who received elective primary unilateral THA were identified through an institutional registry and categorized based on the World Health Organization BMI classification. Age, sex, laterality, year of surgery, and Charlson-Deyo comorbidity index were recorded. The primary outcome was the EQ-5D-3L index and visual analog scale (EQ-VAS) scores at 2 years postoperatively. Inferential statistics and regression analyses were performed to determine associations between BMI classes and HRQoL. EQ-5D-3L scores at baseline and at 2 years were statistically different across BMI classes, with higher EQ-VAS and index scores in patients with lower BMI. There was no difference observed for the 2-year change in EQ-VAS scores, but there was a statistically greater increase in index scores for more obese patients. In the regression analyses, there were statistically significant negative effect estimates for EQ-VAS and index scores associated with increasing BMI class. BMI class is independently associated with lower HRQoL scores 2 years after primary THA. While absolute scores in obese patients were lower than in nonobese patients, obese patients enjoyed more positive changes in EQ-5D index scores after THA. These results may provide the most detailed information on how BMI influences HRQoL before and after THA, and they are relevant to future economic decision analyses on the topic. Copyright © 2016 Elsevier Inc. All rights reserved.

Entropy of hydrological systems under small samples: Uncertainty and variability

NASA Astrophysics Data System (ADS)

Liu, Dengfeng; Wang, Dong; Wang, Yuankun; Wu, Jichun; Singh, Vijay P.; Zeng, Xiankui; Wang, Lachun; Chen, Yuanfang; Chen, Xi; Zhang, Liyuan; Gu, Shenghua

2016-01-01

Entropy theory has been increasingly applied in hydrology in both descriptive and inferential ways. However, little attention has been given to the small-sample condition widespread in hydrological practice, where either hydrological measurements are limited or are even nonexistent. Accordingly, entropy estimated under this condition may incur considerable bias. In this study, small-sample condition is considered and two innovative entropy estimators, the Chao-Shen (CS) estimator and the James-Stein-type shrinkage (JSS) estimator, are introduced. Simulation tests are conducted with common distributions in hydrology, that lead to the best-performing JSS estimator. Then, multi-scale moving entropy-based hydrological analyses (MM-EHA) are applied to indicate the changing patterns of uncertainty of streamflow data collected from the Yangtze River and the Yellow River, China. For further investigation into the intrinsic property of entropy applied in hydrological uncertainty analyses, correlations of entropy and other statistics at different time-scales are also calculated, which show connections between the concept of uncertainty and variability.

Deductive Updating Is Not Bayesian

ERIC Educational Resources Information Center

Markovits, Henry; Brisson, Janie; de Chantal, Pier-Luc

2015-01-01

One of the major debates concerning the nature of inferential reasoning is between counterexample-based theories such as mental model theory and probabilistic theories. This study looks at conclusion updating after the addition of statistical information to examine the hypothesis that deductive reasoning cannot be explained by probabilistic…

The t-test: An Influential Inferential Tool in Chaplaincy and Other Healthcare Research.

PubMed

Jankowski, Katherine R B; Flannelly, Kevin J; Flannelly, Laura T

2018-01-01

The t-test developed by William S. Gosset (also known as Student's t-test and the two-sample t-test) is commonly used to compare one sample mean on a measure with another sample mean on the same measure. The outcome of the t-test is used to draw inferences about how different the samples are from each other. It is probably one of the most frequently relied upon statistics in inferential research. It is easy to use: a researcher can calculate the statistic with three simple tools: paper, pen, and a calculator. A computer program can quickly calculate the t-test for large samples. The ease of use can result in the misuse of the t-test. This article discusses the development of the original t-test, basic principles of the t-test, two additional types of t-tests (the one-sample t-test and the paired t-test), and recommendations about what to consider when using the t-test to draw inferences in research.

Comparing associative, statistical, and inferential reasoning accounts of human contingency learning

PubMed Central

Pineño, Oskar; Miller, Ralph R.

2007-01-01

For more than two decades, researchers have contrasted the relative merits of associative and statistical theories as accounts of human contingency learning. This debate, still far from resolution, has led to further refinement of models within each family of theories. More recently, a third theoretical view has joined the debate: the inferential reasoning account. The explanations of these three accounts differ critically in many aspects, such as level of analysis and their emphasis on different steps within the information-processing sequence. Also, each account has important advantages (as well as critical flaws) and emphasizes experimental evidence that poses problems to the others. Some hybrid models of human contingency learning have attempted to reconcile certain features of these accounts, thereby benefiting from some of the unique advantages of different families of accounts. A comparison of these families of accounts will help us appreciate the challenges that research on human contingency learning will face over the coming years. PMID:17366303

Statistical Literacy: Simulations with Dolphins

ERIC Educational Resources Information Center

Strayer, Jeremy; Matuszewski, Amber

2016-01-01

In this article, Strayer and Matuszewski present a six-phase strategy that teachers can use to help students develop a conceptual understanding of inferential hypothesis testing through simulation. As Strayer and Matuszewski discuss the strategy, they describe each phase in general, explain how they implemented the phase while teaching their…

The Heuristic Value of p in Inductive Statistical Inference

PubMed Central

Krueger, Joachim I.; Heck, Patrick R.

2017-01-01

Many statistical methods yield the probability of the observed data – or data more extreme – under the assumption that a particular hypothesis is true. This probability is commonly known as ‘the’ p-value. (Null Hypothesis) Significance Testing ([NH]ST) is the most prominent of these methods. The p-value has been subjected to much speculation, analysis, and criticism. We explore how well the p-value predicts what researchers presumably seek: the probability of the hypothesis being true given the evidence, and the probability of reproducing significant results. We also explore the effect of sample size on inferential accuracy, bias, and error. In a series of simulation experiments, we find that the p-value performs quite well as a heuristic cue in inductive inference, although there are identifiable limits to its usefulness. We conclude that despite its general usefulness, the p-value cannot bear the full burden of inductive inference; it is but one of several heuristic cues available to the data analyst. Depending on the inferential challenge at hand, investigators may supplement their reports with effect size estimates, Bayes factors, or other suitable statistics, to communicate what they think the data say. PMID:28649206

The Heuristic Value of p in Inductive Statistical Inference.

PubMed

Krueger, Joachim I; Heck, Patrick R

2017-01-01

Many statistical methods yield the probability of the observed data - or data more extreme - under the assumption that a particular hypothesis is true. This probability is commonly known as 'the' p -value. (Null Hypothesis) Significance Testing ([NH]ST) is the most prominent of these methods. The p -value has been subjected to much speculation, analysis, and criticism. We explore how well the p -value predicts what researchers presumably seek: the probability of the hypothesis being true given the evidence, and the probability of reproducing significant results. We also explore the effect of sample size on inferential accuracy, bias, and error. In a series of simulation experiments, we find that the p -value performs quite well as a heuristic cue in inductive inference, although there are identifiable limits to its usefulness. We conclude that despite its general usefulness, the p -value cannot bear the full burden of inductive inference; it is but one of several heuristic cues available to the data analyst. Depending on the inferential challenge at hand, investigators may supplement their reports with effect size estimates, Bayes factors, or other suitable statistics, to communicate what they think the data say.

An inferentialist perspective on the coordination of actions and reasons involved in making a statistical inference

NASA Astrophysics Data System (ADS)

Bakker, Arthur; Ben-Zvi, Dani; Makar, Katie

2017-12-01

To understand how statistical and other types of reasoning are coordinated with actions to reduce uncertainty, we conducted a case study in vocational education that involved statistical hypothesis testing. We analyzed an intern's research project in a hospital laboratory in which reducing uncertainties was crucial to make a valid statistical inference. In his project, the intern, Sam, investigated whether patients' blood could be sent through pneumatic post without influencing the measurement of particular blood components. We asked, in the process of making a statistical inference, how are reasons and actions coordinated to reduce uncertainty? For the analysis, we used the semantic theory of inferentialism, specifically, the concept of webs of reasons and actions—complexes of interconnected reasons for facts and actions; these reasons include premises and conclusions, inferential relations, implications, motives for action, and utility of tools for specific purposes in a particular context. Analysis of interviews with Sam, his supervisor and teacher as well as video data of Sam in the classroom showed that many of Sam's actions aimed to reduce variability, rule out errors, and thus reduce uncertainties so as to arrive at a valid inference. Interestingly, the decisive factor was not the outcome of a t test but of the reference change value, a clinical chemical measure of analytic and biological variability. With insights from this case study, we expect that students can be better supported in connecting statistics with context and in dealing with uncertainty.

Preferential sampling and Bayesian geostatistics: Statistical modeling and examples.

PubMed

Cecconi, Lorenzo; Grisotto, Laura; Catelan, Dolores; Lagazio, Corrado; Berrocal, Veronica; Biggeri, Annibale

2016-08-01

Preferential sampling refers to any situation in which the spatial process and the sampling locations are not stochastically independent. In this paper, we present two examples of geostatistical analysis in which the usual assumption of stochastic independence between the point process and the measurement process is violated. To account for preferential sampling, we specify a flexible and general Bayesian geostatistical model that includes a shared spatial random component. We apply the proposed model to two different case studies that allow us to highlight three different modeling and inferential aspects of geostatistical modeling under preferential sampling: (1) continuous or finite spatial sampling frame; (2) underlying causal model and relevant covariates; and (3) inferential goals related to mean prediction surface or prediction uncertainty. © The Author(s) 2016.

Parental intention to support video game play by children with autism spectrum disorder: an application of the theory of planned behavior.

PubMed

Finke, Erinn H; Hickerson, Benjamin; McLaughlin, Eileen

2015-04-01

The purpose of this study was to determine parental attitudes regarding engagement with video games by their children with autism spectrum disorder (ASD) and whether attitudes vary based on ASD symptom severity. Online survey methodology was used to gather information from parents of children with ASD between the ages of 8 and 12 years. The finalized data set included 152 cases. Descriptive statistics and frequency analyses were used to examine participant demographics and video game play. Descriptive and inferential statistics were used to evaluate questions on the theory of planned behavior. Regression analyses determined the predictive ability of the theory of planned behavior constructs, and t tests provided additional descriptive information about between-group differences. Children with ASD play video games. There are no significant differences in the time, intensity, or types of games played based on severity of ASD symptoms (mild vs. moderate). Parents of children with ASD had positive attitudes about video game play. Parents of children with ASD appear to support video game play. On average, parents indicated video game play was positive for their children with ASD, particularly if they believed the games were having a positive impact on their child's development.

Increasing Effectiveness and Efficiency Through Risk-Based Deployments

DTIC Science & Technology

2015-12-01

Shaw and Henry McKay, both University of Chicago professors, began using maps to understand juvenile delinquency better in Chicago, IL.36 In the...André-Michel Guerry’s Ordonnateur Statistique: The First Statistical Calculator?,” The American Statistician 66, no. 3 (August 1, 2012): 195–200...micro or macro levels using basic inferential statistics .”91 5. Protecting Civil Rights and Liberties It is also important to note that a risk

Student Participation in Dual Enrollment and College Success

ERIC Educational Resources Information Center

Jones, Stephanie J.

2014-01-01

The study investigated the impact of dual enrollment participation on the academic preparation of first-year full-time college students at a large comprehensive community college and a large research university. The research design was causal-comparative and utilized descriptive and inferential statistics. Multivariate analysis of variances were…

Transportability of Equivalence-Based Programmed Instruction: Efficacy and Efficiency in a College Classroom

ERIC Educational Resources Information Center

Fienup, Daniel M.; Critchfield, Thomas S.

2011-01-01

College students in a psychology research-methods course learned concepts related to inferential statistics and hypothesis decision making. One group received equivalence-based instruction on conditional discriminations that were expected to promote the emergence of many untaught, academically useful abilities (i.e., stimulus equivalence group). A…

Understanding Teachers' Concerns about Inclusive Education

ERIC Educational Resources Information Center

Yadav, Monika; Das, Ajay; Sharma, Sushama; Tiwari, Ashwini

2015-01-01

This study examined the concerns of regular elementary school teachers in Gurgaon, India, in order to work with students with disabilities in inclusive education settings. A total of 175 teachers responded to a two-part questionnaire. Data were analyzed using descriptive and inferential statistics. The data indicated that the teachers in Gurgaon,…

Engaging Business Students in Quantitative Skills Development

ERIC Educational Resources Information Center

Cronin, Anthony; Carroll, Paula

2015-01-01

In this paper the complex problems of developing quantitative and analytical skills in undergraduate first year, first semester business students are addressed. An action research project, detailing how first year business students perceive the relevance of data analysis and inferential statistics in light of the economic downturn and the…

Students' Understanding of Conditional Probability on Entering University

ERIC Educational Resources Information Center

Reaburn, Robyn

2013-01-01

An understanding of conditional probability is essential for students of inferential statistics as it is used in Null Hypothesis Tests. Conditional probability is also used in Bayes' theorem, in the interpretation of medical screening tests and in quality control procedures. This study examines the understanding of conditional probability of…

Nonsuicidal Self-Injury: Exploring the Connection among Race, Ethnic Identity, and Ethnic Belonging

ERIC Educational Resources Information Center

Wester, Kelly L.; Trepal, Heather C.

2015-01-01

This study examined race and ethnic identity in relation to nonsuicidal self-injury (NSSI). Participants included freshmen at 2 universities, who were predominantly female. Final inferential statistics examined differences across Caucasian, African American, Hispanic, Asian American, and Multiracial students, finding African Americans and Asian…

Nursing Students' Opinion on the Use of Smartphone Applications (Apps) in Clinical Education and Training: A Study Protocol.

PubMed

O'Connor, Siobhan; Andrews, Tom

2016-01-01

Nurse educators are exploring different mobile technologies to provide additional support to nursing students in clinical practice. However, the view of nursing students on the use of smartphone applications (apps) to enhance clinical education has not been explored. This proposed study will use a self-reported questionnaire to examine the opinions of nursing students on the current and potential use of smartphone apps when training in clinical settings. Descriptive and inferential statistics will be performed on the quantitative data. Qualitative data from open ended questions will be thematically analysed using the framework approach. This will be the first study to examine the use of smartphone apps as a support in clinical teaching from a students' perspective. Their opinion is vital if the right mobile technology is to be designed and implemented.

Effect of information education and communication (IEC) programme on knowledge of pregnant mothers regarding prevention and management of warning signs during pregnancy.

PubMed

Takoo, Sarla; Chhugani, Manju; Sharma, Veena

2013-01-01

The present study was conducted to evaluate the effectiveness of an Information, Education and Communication (IEC) programme on knowledge of pregnant mothers regarding prevention and management of warning signs during pregnancy in a selected health care setting at New Delhi. An evaluative research approach with one group pre-test and post-test design was adopted for the present study. A structured interview schedule was prepared. Purposive non-probability sampling technique was employed to interview 30 pregnant mothers who attended antenatal clinic. Data gathered was analysed and interpreted using both descriptive and inferential statistics. The study revealed that there was maximum knowledge deficit regarding warning signs of pregnancy. IEC programme was effective in enhancing the knowledge of pregnant mothers on prevention and management of warning signs during pregnancy.

Why Current Statistics of Complementary Alternative Medicine Clinical Trials is Invalid.

PubMed

Pandolfi, Maurizio; Carreras, Giulia

2018-06-07

It is not sufficiently known that frequentist statistics cannot provide direct information on the probability that the research hypothesis tested is correct. The error resulting from this misunderstanding is compounded when the hypotheses under scrutiny have precarious scientific bases, which, generally, those of complementary alternative medicine (CAM) are. In such cases, it is mandatory to use inferential statistics, considering the prior probability that the hypothesis tested is true, such as the Bayesian statistics. The authors show that, under such circumstances, no real statistical significance can be achieved in CAM clinical trials. In this respect, CAM trials involving human material are also hardly defensible from an ethical viewpoint.

Study design and statistical analysis of data in human population studies with the micronucleus assay.

PubMed

Ceppi, Marcello; Gallo, Fabio; Bonassi, Stefano

2011-01-01

The most common study design performed in population studies based on the micronucleus (MN) assay, is the cross-sectional study, which is largely performed to evaluate the DNA damaging effects of exposure to genotoxic agents in the workplace, in the environment, as well as from diet or lifestyle factors. Sample size is still a critical issue in the design of MN studies since most recent studies considering gene-environment interaction, often require a sample size of several hundred subjects, which is in many cases difficult to achieve. The control of confounding is another major threat to the validity of causal inference. The most popular confounders considered in population studies using MN are age, gender and smoking habit. Extensive attention is given to the assessment of effect modification, given the increasing inclusion of biomarkers of genetic susceptibility in the study design. Selected issues concerning the statistical treatment of data have been addressed in this mini-review, starting from data description, which is a critical step of statistical analysis, since it allows to detect possible errors in the dataset to be analysed and to check the validity of assumptions required for more complex analyses. Basic issues dealing with statistical analysis of biomarkers are extensively evaluated, including methods to explore the dose-response relationship among two continuous variables and inferential analysis. A critical approach to the use of parametric and non-parametric methods is presented, before addressing the issue of most suitable multivariate models to fit MN data. In the last decade, the quality of statistical analysis of MN data has certainly evolved, although even nowadays only a small number of studies apply the Poisson model, which is the most suitable method for the analysis of MN data.

Development of inferential sensors for real-time quality control of water-level data for the Everglades Depth Estimation Network

USGS Publications Warehouse

Daamen, Ruby C.; Edwin A. Roehl, Jr.; Conrads, Paul

2010-01-01

A technology often used for industrial applications is “inferential sensor.” Rather than installing a redundant sensor to measure a process, such as an additional waterlevel gage, an inferential sensor, or virtual sensor, is developed that estimates the processes measured by the physical sensor. The advantage of an inferential sensor is that it provides a redundant signal to the sensor in the field but without exposure to environmental threats. In the event that a gage does malfunction, the inferential sensor provides an estimate for the period of missing data. The inferential sensor also can be used in the quality assurance and quality control of the data. Inferential sensors for gages in the EDEN network are currently (2010) under development. The inferential sensors will be automated so that the real-time EDEN data will continuously be compared to the inferential sensor signal and digital reports of the status of the real-time data will be sent periodically to the appropriate support personnel. The development and application of inferential sensors is easily transferable to other real-time hydrologic monitoring networks.

Introductory life science mathematics and quantitative neuroscience courses.

PubMed

Duffus, Dwight; Olifer, Andrei

2010-01-01

We describe two sets of courses designed to enhance the mathematical, statistical, and computational training of life science undergraduates at Emory College. The first course is an introductory sequence in differential and integral calculus, modeling with differential equations, probability, and inferential statistics. The second is an upper-division course in computational neuroscience. We provide a description of each course, detailed syllabi, examples of content, and a brief discussion of the main issues encountered in developing and offering the courses.

Evaluation of Solid Rocket Motor Component Data Using a Commercially Available Statistical Software Package

NASA Technical Reports Server (NTRS)

Stefanski, Philip L.

2015-01-01

Commercially available software packages today allow users to quickly perform the routine evaluations of (1) descriptive statistics to numerically and graphically summarize both sample and population data, (2) inferential statistics that draws conclusions about a given population from samples taken of it, (3) probability determinations that can be used to generate estimates of reliability allowables, and finally (4) the setup of designed experiments and analysis of their data to identify significant material and process characteristics for application in both product manufacturing and performance enhancement. This paper presents examples of analysis and experimental design work that has been conducted using Statgraphics®(Registered Trademark) statistical software to obtain useful information with regard to solid rocket motor propellants and internal insulation material. Data were obtained from a number of programs (Shuttle, Constellation, and Space Launch System) and sources that include solid propellant burn rate strands, tensile specimens, sub-scale test motors, full-scale operational motors, rubber insulation specimens, and sub-scale rubber insulation analog samples. Besides facilitating the experimental design process to yield meaningful results, statistical software has demonstrated its ability to quickly perform complex data analyses and yield significant findings that might otherwise have gone unnoticed. One caveat to these successes is that useful results not only derive from the inherent power of the software package, but also from the skill and understanding of the data analyst.

Bayesian correction for covariate measurement error: A frequentist evaluation and comparison with regression calibration.

PubMed

Bartlett, Jonathan W; Keogh, Ruth H

2018-06-01

Bayesian approaches for handling covariate measurement error are well established and yet arguably are still relatively little used by researchers. For some this is likely due to unfamiliarity or disagreement with the Bayesian inferential paradigm. For others a contributory factor is the inability of standard statistical packages to perform such Bayesian analyses. In this paper, we first give an overview of the Bayesian approach to handling covariate measurement error, and contrast it with regression calibration, arguably the most commonly adopted approach. We then argue why the Bayesian approach has a number of statistical advantages compared to regression calibration and demonstrate that implementing the Bayesian approach is usually quite feasible for the analyst. Next, we describe the closely related maximum likelihood and multiple imputation approaches and explain why we believe the Bayesian approach to generally be preferable. We then empirically compare the frequentist properties of regression calibration and the Bayesian approach through simulation studies. The flexibility of the Bayesian approach to handle both measurement error and missing data is then illustrated through an analysis of data from the Third National Health and Nutrition Examination Survey.

Finding Groups Using Model-Based Cluster Analysis: Heterogeneous Emotional Self-Regulatory Processes and Heavy Alcohol Use Risk

ERIC Educational Resources Information Center

Mun, Eun Young; von Eye, Alexander; Bates, Marsha E.; Vaschillo, Evgeny G.

2008-01-01

Model-based cluster analysis is a new clustering procedure to investigate population heterogeneity utilizing finite mixture multivariate normal densities. It is an inferentially based, statistically principled procedure that allows comparison of nonnested models using the Bayesian information criterion to compare multiple models and identify the…

Explanations and Context in the Emergence of Students' Informal Inferential Reasoning

ERIC Educational Resources Information Center

Gil, Einat; Ben-Zvi, Dani

2011-01-01

Explanations are considered to be key aids to understanding the study of mathematics, science, and other complex disciplines. This paper discusses the role of students' explanations in making sense of data and learning to reason informally about statistical inference. We closely follow students' explanations in which they utilize their experiences…

Personal Problems of Seventh-Day Adventist Academy Students

ERIC Educational Resources Information Center

Crosby, Ellen; Freed, Shirley; Gabriel, Elvin

2006-01-01

The Personal Problems Checklist for Adolescents (PPC-A) was administered to students in 14 Adventist academies for the purpose of determining the extent of their personal problems. Descriptive and inferential statistics were used to analyze the data. The results showed that the top 10 problems were: (1) poor study habits; (2) worrying about future…

Logical Reasoning versus Information Processing in the Dual-Strategy Model of Reasoning

ERIC Educational Resources Information Center

Markovits, Henry; Brisson, Janie; de Chantal, Pier-Luc

2017-01-01

One of the major debates concerning the nature of inferential reasoning is between counterexample-based strategies such as mental model theory and statistical strategies underlying probabilistic models. The dual-strategy model, proposed by Verschueren, Schaeken, & d'Ydewalle (2005a, 2005b), which suggests that people might have access to both…

How Sample Size Affects a Sampling Distribution

ERIC Educational Resources Information Center

Mulekar, Madhuri S.; Siegel, Murray H.

2009-01-01

If students are to understand inferential statistics successfully, they must have a profound understanding of the nature of the sampling distribution. Specifically, they must comprehend the determination of the expected value and standard error of a sampling distribution as well as the meaning of the central limit theorem. Many students in a high…

Teaching the Concept of the Sampling Distribution of the Mean

ERIC Educational Resources Information Center

Aguinis, Herman; Branstetter, Steven A.

2007-01-01

The authors use proven cognitive and learning principles and recent developments in the field of educational psychology to teach the concept of the sampling distribution of the mean, which is arguably one of the most central concepts in inferential statistics. The proposed pedagogical approach relies on cognitive load, contiguity, and experiential…

HIV self-care practices during pregnancy and maternal health outcomes among HIV-positive postnatal mothers aged 18-35 years at Mbuya Nehanda maternity hospital.

PubMed

Dodzo, Lilian Gertrude; Mahaka, Hilda Tandazani; Mukona, Doreen; Zvinavashe, Mathilda; Haruzivishe, Clara

2017-06-01

HIV-related conditions are one of the indirect causes of maternal deaths in Zimbabwe and the prevalence rate was estimated to be 13.63% in 2009. The study utilised a descriptive correlational design on 80 pregnant women who were HIV positive at Mbuya Nehanda maternity hospital in Harare, Zimbabwe. Participants comprised a random sample of 80 postnatal mothers. Permission to carry out the study was obtained from the respective review boards. Participants signed an informed consent. Data were collected using a structured questionnaire and record review from 1 to 20 March 2012. Interviews were done in a private room and code numbers were used to identify the participants. Completed questionnaires were kept in a lockable cupboard and the researcher had sole access to them. Data were analysed using the Statistical Package for Social Sciences (SPSS) version 12. Descriptive statistics were used to analyse data on demographics, maternal health outcomes and self-care practices. Inferential statistics (Pearson's correlation and regression analysis) were used to analyse the relationship between self-care practices and maternal health outcomes. Self-care practices were good with a mean score of 8 out of 16. Majority (71.3%) fell within the good category. Maternal outcomes were poor with a mean score of 28 out of 62 and 67.5% falling in the poor category. Pearson's correlation indicated a weak significant positive relationship (r = .317, p = <.01). Regression analysis (R 2 ) was .10 implying that self-care practices explained 10% of the variance observed in maternal health outcomes. More research needs to be carried out to identify other variables affecting maternal outcomes in HIV-positive pregnant women.

Key Characteristics of Rehabilitation Quality Improvement Publications: Scoping Review From 2010 to 2016.

PubMed

Jesus, Tiago S; Papadimitriou, Christina; Pinho, Cátia S; Hoenig, Helen

2018-06-01

To characterize the peer-reviewed quality improvement (QI) literature in rehabilitation. Five electronic databases were searched for English-language articles from 2010 to 2016. Keywords for QI and safety management were searched for in combination with keywords for rehabilitation content and journals. Secondary searches (eg, references-list scanning) were also performed. Two reviewers independently selected articles using working definitions of rehabilitation and QI study types; of 1016 references, 112 full texts were assessed for eligibility. Reported study characteristics including study focus, study setting, use of inferential statistics, stated limitations, and use of improvement cycles and theoretical models were extracted by 1 reviewer, with a second reviewer consulted whenever inferences or interpretation were involved. Fifty-nine empirical rehabilitation QI studies were found: 43 reporting on local QI activities, 7 reporting on QI effectiveness research, 8 reporting on QI facilitators or barriers, and 1 systematic review of a specific topic. The number of publications had significant yearly growth between 2010 and 2016 (P=.03). Among the 43 reports on local QI activities, 23.3% did not explicitly report any study limitations; 39.5% did not used inferential statistics to measure the QI impact; 95.3% did not cite/mention the appropriate reporting guidelines; only 18.6% reported multiple QI cycles; just over 50% reported using a model to guide the QI activity; and only 7% reported the use of a particular theoretical model. Study sites and focuses were diverse; however, nearly a third (30.2%) examined early mobilization in intensive care units. The number of empirical, peer-reviewed rehabilitation QI publications is growing but remains a tiny fraction of rehabilitation research publications. Rehabilitation QI studies could be strengthened by greater use of extant models and theory to guide the QI work, consistent reporting of study limitations, and use of inferential statistics. Copyright © 2017 American Congress of Rehabilitation Medicine. All rights reserved.

Quantifying the Time Course of Visual Object Processing Using ERPs: It's Time to Up the Game

PubMed Central

Rousselet, Guillaume A.; Pernet, Cyril R.

2011-01-01

Hundreds of studies have investigated the early ERPs to faces and objects using scalp and intracranial recordings. The vast majority of these studies have used uncontrolled stimuli, inappropriate designs, peak measurements, poor figures, and poor inferential and descriptive group statistics. These problems, together with a tendency to discuss any effect p < 0.05 rather than to report effect sizes, have led to a research field very much qualitative in nature, despite its quantitative inspirations, and in which predictions do not go beyond condition A > condition B. Here we describe the main limitations of face and object ERP research and suggest alternative strategies to move forward. The problems plague intracranial and surface ERP studies, but also studies using more advanced techniques – e.g., source space analyses and measurements of network dynamics, as well as many behavioral, fMRI, TMS, and LFP studies. In essence, it is time to stop amassing binary results and start using single-trial analyses to build models of visual perception. PMID:21779262

Introductory Life Science Mathematics and Quantitative Neuroscience Courses

PubMed Central

Olifer, Andrei

2010-01-01

We describe two sets of courses designed to enhance the mathematical, statistical, and computational training of life science undergraduates at Emory College. The first course is an introductory sequence in differential and integral calculus, modeling with differential equations, probability, and inferential statistics. The second is an upper-division course in computational neuroscience. We provide a description of each course, detailed syllabi, examples of content, and a brief discussion of the main issues encountered in developing and offering the courses. PMID:20810971

[Bayesian statistics in medicine -- part II: main applications and inference].

PubMed

Montomoli, C; Nichelatti, M

2008-01-01

Bayesian statistics is not only used when one is dealing with 2-way tables, but it can be used for inferential purposes. Using the basic concepts presented in the first part, this paper aims to give a simple overview of Bayesian methods by introducing its foundation (Bayes' theorem) and then applying this rule to a very simple practical example; whenever possible, the elementary processes at the basis of analysis are compared to those of frequentist (classical) statistical analysis. The Bayesian reasoning is naturally connected to medical activity, since it appears to be quite similar to a diagnostic process.

Spatial independent component analysis of functional MRI time-series: to what extent do results depend on the algorithm used?

PubMed

Esposito, Fabrizio; Formisano, Elia; Seifritz, Erich; Goebel, Rainer; Morrone, Renato; Tedeschi, Gioacchino; Di Salle, Francesco

2002-07-01

Independent component analysis (ICA) has been successfully employed to decompose functional MRI (fMRI) time-series into sets of activation maps and associated time-courses. Several ICA algorithms have been proposed in the neural network literature. Applied to fMRI, these algorithms might lead to different spatial or temporal readouts of brain activation. We compared the two ICA algorithms that have been used so far for spatial ICA (sICA) of fMRI time-series: the Infomax (Bell and Sejnowski [1995]: Neural Comput 7:1004-1034) and the Fixed-Point (Hyvärinen [1999]: Adv Neural Inf Proc Syst 10:273-279) algorithms. We evaluated the Infomax- and Fixed Point-based sICA decompositions of simulated motor, and real motor and visual activation fMRI time-series using an ensemble of measures. Log-likelihood (McKeown et al. [1998]: Hum Brain Mapp 6:160-188) was used as a measure of how significantly the estimated independent sources fit the statistical structure of the data; receiver operating characteristics (ROC) and linear correlation analyses were used to evaluate the algorithms' accuracy of estimating the spatial layout and the temporal dynamics of simulated and real activations; cluster sizing calculations and an estimation of a residual gaussian noise term within the components were used to examine the anatomic structure of ICA components and for the assessment of noise reduction capabilities. Whereas both algorithms produced highly accurate results, the Fixed-Point outperformed the Infomax in terms of spatial and temporal accuracy as long as inferential statistics were employed as benchmarks. Conversely, the Infomax sICA was superior in terms of global estimation of the ICA model and noise reduction capabilities. Because of its adaptive nature, the Infomax approach appears to be better suited to investigate activation phenomena that are not predictable or adequately modelled by inferential techniques. Copyright 2002 Wiley-Liss, Inc.

Confidence Intervals Make a Difference: Effects of Showing Confidence Intervals on Inferential Reasoning

ERIC Educational Resources Information Center

Hoekstra, Rink; Johnson, Addie; Kiers, Henk A. L.

2012-01-01

The use of confidence intervals (CIs) as an addition or as an alternative to null hypothesis significance testing (NHST) has been promoted as a means to make researchers more aware of the uncertainty that is inherent in statistical inference. Little is known, however, about whether presenting results via CIs affects how readers judge the…

The Long-Term Impact of Admission Policies: A Comparative Study of Two Emergent Research Institutions in Texas

ERIC Educational Resources Information Center

Crisp, Gloria; Horn, Catherine; Dizinno, Gerry; Barlow, Libby

2013-01-01

The present study explored the long-term impact of admission policies at two aspiring research institutions in Texas. Six years of longitudinal institutional data were analyzed for all full-time first time in college undergraduate students at both universities. Descriptive and inferential statistics were used to identify relationships and…

Three Insights from a Bayesian Interpretation of the One-Sided "P" Value

ERIC Educational Resources Information Center

Marsman, Maarten; Wagenmakers, Eric-Jan

2017-01-01

P values have been critiqued on several grounds but remain entrenched as the dominant inferential method in the empirical sciences. In this article, we elaborate on the fact that in many statistical models, the one-sided "P" value has a direct Bayesian interpretation as the approximate posterior mass for values lower than zero. The…

Not the Norm: The Potential of Tree Analysis of Performance Data from Students in a Foundation Mathematics Module

ERIC Educational Resources Information Center

Kirby, Nicola; Dempster, Edith

2015-01-01

Quantitative methods of data analysis usually involve inferential statistics, and are not well known for their ability to reflect the intricacies of a diverse student population. The South African tertiary education sector is characterised by extreme inequality and diversity. Foundation programmes address issues of inequality of access by…

Exploiting Redundant Measurement of Dose and Developmental Outcome: New Methods from the Behavioral Teratology of Alcohol.

ERIC Educational Resources Information Center

Bookstein, Fred L.; And Others

1996-01-01

Discusses the use of new statistical procedures in a study of the enduring effects of prenatal alcohol exposure upon the neurobehavioral development of some 500 children born in 1975-76. Explains how the Partial Least Squares (PLS) methodology can summarize the data powerfully while avoiding familiar inferential pitfalls. (MDM)

Comparing the Effects of Elementary Music and Visual Arts Lessons on Standardized Mathematics Test Scores

ERIC Educational Resources Information Center

King, Molly Elizabeth

2016-01-01

The purpose of this quantitative, causal-comparative study was to compare the effect elementary music and visual arts lessons had on third through sixth grade standardized mathematics test scores. Inferential statistics were used to compare the differences between test scores of students who took in-school, elementary, music instruction during the…

Bridging the Gap: Cognitive and Social Approaches to Research in Second Language Learning and Teaching

ERIC Educational Resources Information Center

Hulstijn, Jan H.; Young, Richard F.; Ortega, Lourdes; Bigelow, Martha; DeKeyser, Robert; Ellis, Nick C.; Lantolf, James P.; Mackey, Alison; Talmy, Steven

2014-01-01

For some, research in learning and teaching of a second language (L2) runs the risk of disintegrating into irreconcilable approaches to L2 learning and use. On the one side, we find researchers investigating linguistic-cognitive issues, often using quantitative research methods including inferential statistics; on the other side, we find…

Teaching Inferential Statistics to Social Work Students: A Decision-Making Flow Chart

ERIC Educational Resources Information Center

Calderwood, Kimberly A.

2012-01-01

Given that social work research courses are typically built on modernist principles of teaching and content, it is not surprising that the majority of social work students dread these courses. Few attempts have been made to better align the modernist content of quantitative research with the postmodern philosophy and values inherent in current…

On inferentialism

NASA Astrophysics Data System (ADS)

Radford, Luis

2017-12-01

This article is a critical commentary on inferentialism in mathematics education. In the first part, I comment on some of the major shortcomings that inferentialists see in the theoretical underpinnings of representationalist, empiricist, and socioconstructivist mathematics education theories. I discuss in particular the criticism that inferentialism makes of the social dimension as conceptualized by socioconstructivism and the question related to the objectivity of knowledge. In the second part, I discuss some of the theoretical foundations of inferentialism in mathematics education and try to answer the question of whether or not inferentialism overcomes the individual-social divide. In the third part, I speculate on what I think inferentialism accomplishes and what I think it does not.

An Introduction to Inferentialism in Mathematics Education

ERIC Educational Resources Information Center

Derry, Jan

2017-01-01

This paper introduces the philosophical work of Robert Brandom, termed inferentialism, which underpins this collection and argues that it offers rich theoretical resources for reconsidering many of the challenges and issues that have arisen in mathematics education. Key to inferentialism is the privileging of the inferential over the…

A study of students' learning styles and mathematics anxiety amongst form four students in Kerian Perak

NASA Astrophysics Data System (ADS)

Esa, Suraya; Mohamed, Nurul Akmal

2017-05-01

This study aims to identify the relationship between students' learning styles and mathematics anxiety amongst Form Four students in Kerian, Perak. The study involves 175 Form Four students as respondents. The instrument which is used to assess the students' learning styles and mathematic anxiety is adapted from the Grasha's Learning Styles Inventory and the Mathematics Anxiety Scale (MAS) respectively. The types of learning styles used are independent, avoidant, collaborative, dependent, competitive and participant. The collected data is processed by SPSS (Statistical Packages for Social Sciences 16.0). The data is analysed by using descriptive statistics and inferential statistics that include t-test and Pearson correlation. The results show that majority of the students adopt collaborative learning style and the students have moderate level of mathematics anxiety. Moreover, it is found that there is significant difference between learning style avoidant, collaborative, dependent and participant based on gender. Amongst all students' learning style, there exists a weak but significant correlation between avoidant, independent and participant learning style and mathematics anxiety. It is very important for the teachers need to be concerned about the effects of learning styles on mathematics anxiety. Therefore, the teachers should understand mathematics anxiety and implement suitable learning strategies in order for the students to overcome their mathematics anxiety.

Knowledge dimensions in hypothesis test problems

NASA Astrophysics Data System (ADS)

Krishnan, Saras; Idris, Noraini

2012-05-01

The reformation in statistics education over the past two decades has predominantly shifted the focus of statistical teaching and learning from procedural understanding to conceptual understanding. The emphasis of procedural understanding is on the formulas and calculation procedures. Meanwhile, conceptual understanding emphasizes students knowing why they are using a particular formula or executing a specific procedure. In addition, the Revised Bloom's Taxonomy offers a twodimensional framework to describe learning objectives comprising of the six revised cognition levels of original Bloom's taxonomy and four knowledge dimensions. Depending on the level of complexities, the four knowledge dimensions essentially distinguish basic understanding from the more connected understanding. This study identifiesthe factual, procedural and conceptual knowledgedimensions in hypothesis test problems. Hypothesis test being an important tool in making inferences about a population from sample informationis taught in many introductory statistics courses. However, researchers find that students in these courses still have difficulty in understanding the underlying concepts of hypothesis test. Past studies also show that even though students can perform the hypothesis testing procedure, they may not understand the rationale of executing these steps or know how to apply them in novel contexts. Besides knowing the procedural steps in conducting a hypothesis test, students must have fundamental statistical knowledge and deep understanding of the underlying inferential concepts such as sampling distribution and central limit theorem. By identifying the knowledge dimensions of hypothesis test problems in this study, suitable instructional and assessment strategies can be developed in future to enhance students' learning of hypothesis test as a valuable inferential tool.

Perspective of pharmacists in Qatar regarding doping and anti-doping in sports.

PubMed

Mottram, David; Khalifa, Sherief; Alemrayat, Bayan; Rahhal, Alaa; Ahmed, Afif; Stuart, Mark; Awaisu, Ahmed

2016-06-01

The aim of this study was to evaluate the current knowledge and perceptions of pharmacists in Qatar with regard to the use of drugs in sport and to explore their views on the introduction of education and training in the area of sports pharmacy. A cross-sectional survey was conducted targeting both hospital and community pharmacists in Qatar. A questionnaire consisting of three domains pertaining to participants' knowledge, perceived role of healthcare professionals, and attitudes towards educational needs on the use of drugs in sports was developed and validated. The online survey link and paper-based questionnaires were distributed to the target population. Data analyses were performed using IBM SPSS Statistics. Descriptive and inferential statistics were utilized for the analyses, where P<0.05 indicates statistical significance. A total of 300 pharmacists responded to the survey. Respondents had a limited awareness of doping and anti-doping and achieved an average knowledge score of 53.2% regarding the prohibited status of drugs that may be used by athletes, particularly with respect to over-the-counter medicines and supplements. The majority (81.7%) of the pharmacists expressed an interest in receiving education and training on sports pharmacy. Specialized training programs are warranted to ensure that pharmacists have the knowledge and skills required to provide athletes with accurate information about anti-doping issues and the safe and effective use of medicines in sport. The development of these programs should be supported by national pharmacy policy makers and designed in collaboration with anti-doping agencies and sports pharmacy experts and educators.

Similar and contrasting dimensions of social cognition in schizophrenia and healthy subjects.

PubMed

Mehta, Urvakhsh Meherwan; Thirthalli, Jagadisha; Bhagyavathi, H D; Keshav Kumar, J; Subbakrishna, D K; Gangadhar, Bangalore N; Eack, Shaun M; Keshavan, Matcheri S

2014-08-01

Schizophrenia patients experience substantial impairments in social cognition (SC) and these deficits are associated with their poor functional outcome. Though SC is consistently shown to emerge as a cognitive dimension distinct from neurocognition, the dimensionality of SC is poorly understood. Moreover, comparing the components of SC between schizophrenia patients and healthy comparison subjects would provide specific insights on the construct validity of SC. We conducted principal component analyses of eight SC test scores (representing four domains of SC, namely, theory of mind, emotion processing, social perception and attributional bias) independently in 170 remitted schizophrenia patients and 111 matched healthy comparison subjects. We also conducted regression analyses to evaluate the relative contribution of individual SC components to other symptom dimensions, which are important clinical determinants of functional outcome (i.e., neurocognition, negative symptoms, motivational deficits and insight) in schizophrenia. A three-factor solution representing socio-emotional processing, social-inferential ability and external attribution components emerged in the patient group that accounted for 64.43% of the variance. In contrast, a two-factor solution representing socio-emotional processing and social-inferential ability was derived in the healthy comparison group that explained 56.5% of the variance. In the patient group, the social-inferential component predicted negative symptoms and motivational deficits. Our results suggest the presence of a multidimensional SC construct. The dimensionality of SC observed across the two groups, though not identical, displayed important parallels. Individual components also demonstrated distinct patterns of association with other symptom dimensions, thus supporting their external validity. Copyright © 2014 Elsevier B.V. All rights reserved.

Using the Coefficient of Confidence to Make the Philosophical Switch from a Posteriori to a Priori Inferential Statistics

ERIC Educational Resources Information Center

Trafimow, David

2017-01-01

There has been much controversy over the null hypothesis significance testing procedure, with much of the criticism centered on the problem of inverse inference. Specifically, p gives the probability of the finding (or one more extreme) given the null hypothesis, whereas the null hypothesis significance testing procedure involves drawing a…

A pseudo-sequential choice model for valuing multi-attribute environmental policies or programs in contingent valuation applications

Treesearch

Dmitriy Volinskiy; John C Bergstrom; Christopher M Cornwell; Thomas P Holmes

2010-01-01

The assumption of independence of irrelevant alternatives in a sequential contingent valuation format should be questioned. Statistically, most valuation studies treat nonindependence as a consequence of unobserved individual effects. Another approach is to consider an inferential process in which any particular choice is part of a general choosing strategy of a survey...

Participation in Decision-Making in Class: Opportunities and Student Attitudes in Austria and Slovenia

ERIC Educational Resources Information Center

Mithans, Monika; Grmek, Milena Ivanuš; Cagran, Branka

2017-01-01

This article focuses on the issue of student involvement in the education process. The study comprised pupils aged 10-11, 13-14 and 16-17; 322 students were attending school in Austria, and 458 students were in Slovenia. The data were collected through a questionnaire and processed on the level of descriptive and inferential statistics. The right…

Top 10% Admissions in the Borderlands: Access and Success of Borderland Top Students at Texas Public Universities

ERIC Educational Resources Information Center

Rodríguez, Cristóbal

2016-01-01

This study focuses on Texas Borderland students admitted through the Texas Top 10% admissions policy, which assumes that Top 10% students are college ready for any public university and provides Top 10% high school graduates automatic admission to any 4-year public university in Texas. Using descriptive and inferential statistics, results…

A Theoretical Foundation for the Study of Inferential Error in Decision-Making Groups.

ERIC Educational Resources Information Center

Gouran, Dennis S.

To provide a theoretical base for investigating the influence of inferential error on group decision making, current literature on both inferential error and decision making is reviewed and applied to the Watergate incident. Although groups tend to make fewer inferential errors because members' inferences are generally not biased in the same…

Data Mining CMMSs: How to Convert Data into Knowledge.

PubMed

Fennigkoh, Larry; Nanney, D Courtney

2018-01-01

Although the healthcare technology management (HTM) community has decades of accumulated medical device-related maintenance data, little knowledge has been gleaned from these data. Finding and extracting such knowledge requires the use of the well-established, but admittedly somewhat foreign to HTM, application of inferential statistics. This article sought to provide a basic background on inferential statistics and describe a case study of their application, limitations, and proper interpretation. The research question associated with this case study involved examining the effects of ventilator preventive maintenance (PM) labor hours, age, and manufacturer on needed unscheduled corrective maintenance (CM) labor hours. The study sample included more than 21,000 combined PM inspections and CM work orders on 2,045 ventilators from 26 manufacturers during a five-year period (2012-16). A multiple regression analysis revealed that device age, manufacturer, and accumulated PM inspection labor hours all influenced the amount of CM labor significantly (P < 0.001). In essence, CM labor hours increased with increasing PM labor. However, and despite the statistical significance of these predictors, the regression analysis also indicated that ventilator age, manufacturer, and PM labor hours only explained approximately 16% of all variability in CM labor, with the remainder (84%) caused by other factors that were not included in the study. As such, the regression model obtained here is not suitable for predicting ventilator CM labor hours.

Descriptive statistics.

PubMed

Nick, Todd G

2007-01-01

Statistics is defined by the Medical Subject Headings (MeSH) thesaurus as the science and art of collecting, summarizing, and analyzing data that are subject to random variation. The two broad categories of summarizing and analyzing data are referred to as descriptive and inferential statistics. This chapter considers the science and art of summarizing data where descriptive statistics and graphics are used to display data. In this chapter, we discuss the fundamentals of descriptive statistics, including describing qualitative and quantitative variables. For describing quantitative variables, measures of location and spread, for example the standard deviation, are presented along with graphical presentations. We also discuss distributions of statistics, for example the variance, as well as the use of transformations. The concepts in this chapter are useful for uncovering patterns within the data and for effectively presenting the results of a project.

WASP (Write a Scientific Paper) using Excel - 7: The t-distribution.

PubMed

Grech, Victor

2018-03-01

The calculation of descriptive statistics after data collection provides researchers with an overview of the shape and nature of their datasets, along with basic descriptors, and may help identify true or incorrect outlier values. This exercise should always precede inferential statistics, when possible. This paper provides some pointers for doing so in Microsoft Excel, both statically and dynamically, with Excel's functions, including the calculation of standard deviation and variance and the relevance of the t-distribution. Copyright © 2018 Elsevier B.V. All rights reserved.

Psychosocial factors for influencing healthy aging in adults in Korea.

PubMed

Han, KyungHun; Lee, YunJung; Gu, JaSung; Oh, Hee; Han, JongHee; Kim, KwuyBun

2015-03-07

Healthy aging includes physical, psychological, social, and spiritual well-being in later years. The purpose of this study is to identify the psychosocial factors influencing healthy aging and examining their socio-demographic characteristics. Perceived health status, depression, self-esteem, self-achievement, ego-integrity, participation in leisure activities, and loneliness were identified as influential factors in healthy aging. 171 Korean adults aged between 45 and 77 years-old participated in the study. Self-reporting questionnaires were used, followed by descriptive statistics and multiple regressions as inferential statistical analyses. There were significant differences between participants' general characteristics: age, education, religion, housing, hobby, and economic status. The factors related to healthy aging had positive correlation with perceived health status, self-esteem, self-achievements, and leisure activities, and negative correlation with depression and loneliness. The factors influencing healthy aging were depression, leisure activities, perceived health status, ego integrity, and self-achievements. These factors were able to explain 51.9%. According to the results, depression is the factor with the greatest influence on healthy aging. Perceived health status, ego integrity, self-achievement, self-esteem, participation of leisure activities were also influential on healthy aging as beneficial factors.

Perception and intentions to quit among waterpipe smokers in Qatar: a cross-sectional survey

PubMed Central

Jaam, M.; Al-Marridi, W.; Fares, H.; Izham, M.; Kheir, N.

2016-01-01

Objective: To evaluate the perceptions and attitudes of waterpipe (shisha) smokers in Qatar regarding the health risks associated with addiction and to determine their intentions to quit. Methods: A cross-sectional survey was conducted among 181 self-reported waterpipe smokers. Participants were approached in public places as well as in shisha cafes in Qatar. The questionnaire included items related to perception, attitude and intention to quit. Both descriptive and inferential statistics were performed for data analyses, with P ≤ 0.05 considered statistically significant. Results: About 44% of the respondents believed that waterpipe smoking was safer than cigarette smoking, and more than 70% would not mind if their children became involved in waterpipe smoking. More than half of the current smokers wanted to quit smoking shisha at some point, and 17% identified health concerns as the main motivating factor for their intention to quit. Conclusion: A large proportion of shisha smokers viewed shisha as a safer alternative to cigarettes, yet they admitted to intending to quit. These findings underscore the need to design educational interventions and awareness campaigns as well as impose stringent laws on waterpipe smoking in public places in Qatar. PMID:27051611

Storytelling, statistics and hereditary thought: the narrative support of early statistics.

PubMed

López-Beltrán, Carlos

2006-03-01

This paper's main contention is that some basically methodological developments in science which are apparently distant and unrelated can be seen as part of a sequential story. Focusing on general inferential and epistemological matters, the paper links occurrences separated by both in time and space, by formal and representational issues rather than social or disciplinary links. It focuses on a few limited aspects of several cognitive practices in medical and biological contexts separated by geography, disciplines and decades, but connected by long term transdisciplinary representational and inferential structures and constraints. The paper intends to show a given set of knowledge claims based on organizing statistically empirical data can be seen to have been underpinned by a previous, more familiar, and probably more natural, narrative handling of similar evidence. To achieve that this paper moves from medicine in France in the late eighteenth and early nineteenth century to the second half of the nineteenth century in England among gentleman naturalists, following its subject: the shift from narrative depiction of hereditary transmission of physical peculiarities to posterior statistical articulations of the same phenomena. Some early defenders of heredity as an important (if not the most important) causal presence in the understanding of life adopted singular narratives, in the form of case stories from medical and natural history traditions, to flesh out a special kind of causality peculiar to heredity. This work tries to reconstruct historically the rationale that drove the use of such narratives. It then shows that when this rationale was methodologically challenged, its basic narrative and probabilistic underpinings were transferred to the statistical quantificational tools that took their place.

Negative inferential style, emotional clarity, and life stress: integrating vulnerabilities to depression in adolescence.

PubMed

Stange, Jonathan P; Alloy, Lauren B; Flynn, Megan; Abramson, Lyn Y

2013-01-01

Negative inferential style and deficits in emotional clarity have been identified as vulnerability factors for depression in adolescence, particularly when individuals experience high levels of life stress. However, previous research has not integrated these characteristics when evaluating vulnerability to depression. In the present study, a racially diverse community sample of 256 early adolescents (ages 12 and 13) completed a baseline visit and a follow-up visit 9 months later. Inferential style, emotional clarity, and depressive symptoms were assessed at baseline, and intervening life events and depressive symptoms were assessed at follow-up. Hierarchical linear regressions indicated that there was a significant three-way interaction between adolescents' weakest-link negative inferential style, emotional clarity, and intervening life stress predicting depressive symptoms at follow-up, controlling for initial depressive symptoms. Adolescents with low emotional clarity and high negative inferential styles experienced the greatest increases in depressive symptoms following life stress. Emotional clarity buffered against the impact of life stress on depressive symptoms among adolescents with negative inferential styles. Similarly, negative inferential styles exacerbated the impact of life stress on depressive symptoms among adolescents with low emotional clarity. These results provide evidence of the utility of integrating inferential style and emotional clarity as constructs of vulnerability in combination with life stress in the identification of adolescents at risk for depression. They also suggest the enhancement of emotional clarity as a potential intervention technique to protect against the effects of negative inferential styles and life stress on depression in early adolescence.

AN INFERENTIAL INDEX OF SWIMMING POOL PURITY

PubMed Central

Fair, Gordon M.

1920-01-01

Score cards for swimming pools is the suggestion of this paper. Figures about these establishments are today in the class with crude statistics, and may lead to unreliable conclusions. Here are suggested various indexes which may be of service in framing minimum requirements for these pools. This article is an effort to clear up a complicated matter for which there are not now accepted standards. PMID:18010324

Kindergarten Teachers' Perceptions of the Relationship between Oral Language and Reading Achievement of Kindergarten Students and the Impact of State Standards and Educational Policy

ERIC Educational Resources Information Center

Costantino-Lane, Tina

2013-01-01

This mixed-method phenomenological study was conducted in 2 concurrent phases. The quantitative phase consisted of a researcher designed questionnaire conducted with 103 public school kindergarten teachers in California. Thirty-five close-ended and 2 open-ended questions were included. Descriptive and inferential statistics were utilized to find…

Inferentialism as an alternative to socioconstructivism in mathematics education

NASA Astrophysics Data System (ADS)

Noorloos, Ruben; Taylor, Samuel D.; Bakker, Arthur; Derry, Jan

2017-12-01

The purpose of this article is to draw the attention of mathematics education researchers to a relatively new semantic theory called inferentialism, as developed by the philosopher Robert Brandom. Inferentialism is a semantic theory which explains concept formation in terms of the inferences individuals make in the context of an intersubjective practice of acknowledging, attributing, and challenging one another's commitments. The article argues that inferentialism can help to overcome certain problems that have plagued the various forms of constructivism, and socioconstructivism in particular. Despite the range of socioconstructivist positions on offer, there is reason to think that versions of these problems will continue to haunt socioconstructivism. The problems are that socioconstructivists (i) have not come to a satisfactory resolution of the social-individual dichotomy, (ii) are still threatened by relativism, and (iii) have been vague in their characterization of what construction is. We first present these problems; then we introduce inferentialism, and finally we show how inferentialism can help to overcome the problems. We argue that inferentialism (i) contains a powerful conception of norms that can overcome the social-individual dichotomy, (ii) draws attention to the reality that constrains our inferences, and (iii) develops a clearer conception of learning in terms of the mastering of webs of reasons. Inferentialism therefore represents a powerful alternative theoretical framework to socioconstructivism.

Engineering Ethics Education: A Comparative Study of Japan and Malaysia.

PubMed

Balakrishnan, Balamuralithara; Tochinai, Fumihiko; Kanemitsu, Hidekazu

2018-03-22

This paper reports the findings of a comparative study in which students' perceived attainment of the objectives of an engineering ethics education and their attitude towards engineering ethics were investigated and compared. The investigation was carried out in Japan and Malaysia, involving 163 and 108 engineering undergraduates respectively. The research method used was based on a survey in which respondents were sent a questionnaire to elicit relevant data. Both descriptive and inferential statistical analyses were performed on the data. The results of the analyses showed that the attainment of the objectives of engineering ethics education and students' attitude towards socio-ethical issues in engineering were significantly higher and positive among Japanese engineering students compared to Malaysian engineering students. Such findings suggest that a well-structured, integrated, and innovative pedagogy for teaching ethics will have an impact on the students' attainment of ethics education objectives and their attitude towards engineering ethics. As such, the research findings serve as a cornerstone to which the current practice of teaching and learning of engineering ethics education can be examined more critically, such that further improvements can be made to the existing curriculum that can help produce engineers that have strong moral and ethical characters.

Preparing for the first meeting with a statistician.

PubMed

De Muth, James E

2008-12-15

Practical statistical issues that should be considered when performing data collection and analysis are reviewed. The meeting with a statistician should take place early in the research development before any study data are collected. The process of statistical analysis involves establishing the research question, formulating a hypothesis, selecting an appropriate test, sampling correctly, collecting data, performing tests, and making decisions. Once the objectives are established, the researcher can determine the characteristics or demographics of the individuals required for the study, how to recruit volunteers, what type of data are needed to answer the research question(s), and the best methods for collecting the required information. There are two general types of statistics: descriptive and inferential. Presenting data in a more palatable format for the reader is called descriptive statistics. Inferential statistics involve making an inference or decision about a population based on results obtained from a sample of that population. In order for the results of a statistical test to be valid, the sample should be representative of the population from which it is drawn. When collecting information about volunteers, researchers should only collect information that is directly related to the study objectives. Important information that a statistician will require first is an understanding of the type of variables involved in the study and which variables can be controlled by researchers and which are beyond their control. Data can be presented in one of four different measurement scales: nominal, ordinal, interval, or ratio. Hypothesis testing involves two mutually exclusive and exhaustive statements related to the research question. Statisticians should not be replaced by computer software, and they should be consulted before any research data are collected. When preparing to meet with a statistician, the pharmacist researcher should be familiar with the steps of statistical analysis and consider several questions related to the study to be conducted.

Social Studies Skills or Something Else? An Analysis of How the "Essential Social Studies Skills and Strategies" Reflects Social Studies Instruction

ERIC Educational Resources Information Center

Brugar, Kristy A.; Whitlock, Annie McMahon

2018-01-01

This article describes the National Council for the Social Studies (NCSS) collection of "Essential Social Studies Skills and Strategies" in terms of common approaches to social studies teaching and learning (e.g., informed social criticism, reflective inquiry, transmission). We conducted descriptive and inferential analyses and found…

Representations of Nature of Science in High School Chemistry Textbooks over the Past Four Decades

ERIC Educational Resources Information Center

Abd-El-Khalick, Fouad; Waters, Mindy; Le, An-Phong

2008-01-01

This study assessed the representations of nature of science (NOS) in high school chemistry textbooks and the extent to which these representations have changed during the past four decades. Analyses focused on the empirical, tentative, inferential, creative, theory-driven, and social NOS, in addition to the myth of "The Scientific Method," the…

Negative Inferential Style, Emotional Clarity, and Life Stress: Integrating Vulnerabilities to Depression in Adolescence

PubMed Central

Stange, Jonathan P.; Alloy, Lauren B.; Flynn, Megan; Abramson, Lyn Y.

2012-01-01

Objective Negative inferential style and deficits in emotional clarity have been identified as vulnerability factors for depression in adolescence, particularly when individuals experience high levels of life stress. However, previous research has not integrated these characteristics when evaluating vulnerability to depression. Method In the present study, a racially-diverse community sample of 256 early adolescents (ages 12 and 13) completed a baseline visit and a follow-up visit nine months later. Inferential style, emotional clarity, and depressive symptoms were assessed at baseline, and intervening life events and depressive symptoms were assessed at follow-up. Results Hierarchical linear regressions indicated that there was a significant three-way interaction between adolescents’ weakest-link negative inferential style, emotional clarity, and intervening life stress predicting depressive symptoms at follow-up, controlling for initial depressive symptoms. Adolescents with low emotional clarity and high negative inferential styles experienced the greatest increases in depressive symptoms following life stress. Emotional clarity buffered against the impact of life stress on depressive symptoms among adolescents with negative inferential styles. Similarly, negative inferential styles exacerbated the impact of life stress on depressive symptoms among adolescents with low emotional clarity. Conclusions These results provide evidence of the utility of integrating inferential style and emotional clarity as constructs of vulnerability in combination with life stress in the identification of adolescents at risk for depression. They also suggest the enhancement of emotional clarity as a potential intervention technique to protect against the effects of negative inferential styles and life stress on depression in early adolescence. PMID:23215673

COgnitive behavioural therapy versus standardised medical care for adults with Dissociative non-Epileptic Seizures (CODES): statistical and economic analysis plan for a randomised controlled trial.

PubMed

Robinson, Emily J; Goldstein, Laura H; McCrone, Paul; Perdue, Iain; Chalder, Trudie; Mellers, John D C; Richardson, Mark P; Murray, Joanna; Reuber, Markus; Medford, Nick; Stone, Jon; Carson, Alan; Landau, Sabine

2017-06-06

Dissociative seizures (DSs), also called psychogenic non-epileptic seizures, are a distressing and disabling problem for many patients in neurological settings with high and often unnecessary economic costs. The COgnitive behavioural therapy versus standardised medical care for adults with Dissociative non-Epileptic Seizures (CODES) trial is an evaluation of a specifically tailored psychological intervention with the aims of reducing seizure frequency and severity and improving psychological well-being in adults with DS. The aim of this paper is to report in detail the quantitative and economic analysis plan for the CODES trial, as agreed by the trial steering committee. The CODES trial is a multicentre, pragmatic, parallel group, randomised controlled trial performed to evaluate the clinical effectiveness and cost-effectiveness of 13 sessions of cognitive behavioural therapy (CBT) plus standardised medical care (SMC) compared with SMC alone for adult outpatients with DS. The objectives and design of the trial are summarised, and the aims and procedures of the planned analyses are illustrated. The proposed analysis plan addresses statistical considerations such as maintaining blinding, monitoring adherence with the protocol, describing aspects of treatment and dealing with missing data. The formal analysis approach for the primary and secondary outcomes is described, as are the descriptive statistics that will be reported. This paper provides transparency to the planned inferential analyses for the CODES trial prior to the extraction of outcome data. It also provides an update to the previously published trial protocol and guidance to those conducting similar trials. ISRCTN registry ISRCTN05681227 (registered on 5 March 2014); ClinicalTrials.gov NCT02325544 (registered on 15 December 2014).

Patterns of use and impact of standardised MedDRA query analyses on the safety evaluation and review of new drug and biologics license applications.

PubMed

Chang, Lin-Chau; Mahmood, Riaz; Qureshi, Samina; Breder, Christopher D

2017-01-01

Standardised MedDRA Queries (SMQs) have been developed since the early 2000's and used by academia, industry, public health, and government sectors for detecting safety signals in adverse event safety databases. The purpose of the present study is to characterize how SMQs are used and the impact in safety analyses for New Drug Application (NDA) and Biologics License Application (BLA) submissions to the United States Food and Drug Administration (USFDA). We used the PharmaPendium database to capture SMQ use in Summary Basis of Approvals (SBoAs) of drugs and biologics approved by the USFDA. Characteristics of the drugs and the SMQ use were employed to evaluate the role of SMQ safety analyses in regulatory decisions and the veracity of signals they revealed. A comprehensive search of the SBoAs yielded 184 regulatory submissions approved from 2006 to 2015. Search strategies more frequently utilized restrictive searches with "narrow terms" to enhance specificity over strategies using "broad terms" to increase sensitivity, while some involved modification of search terms. A majority (59%) of 1290 searches used descriptive statistics, however inferential statistics were utilized in 35% of them. Commentary from reviewers and supervisory staff suggested that a small, yet notable percentage (18%) of 1290 searches supported regulatory decisions. The searches with regulatory impact were found in 73 submissions (40% of the submissions investigated). Most searches (75% of 227 searches) with regulatory implications described how the searches were confirmed, indicating prudence in the decision-making process. SMQs have an increasing role in the presentation and review of safety analysis for NDAs/BLAs and their regulatory reviews. This study suggests that SMQs are best used for screening process, with descriptive statistics, description of SMQ modifications, and systematic verification of cases which is crucial for drawing regulatory conclusions.

Patterns of use and impact of standardised MedDRA query analyses on the safety evaluation and review of new drug and biologics license applications

PubMed Central

Chang, Lin-Chau; Mahmood, Riaz; Qureshi, Samina

2017-01-01

Purpose Standardised MedDRA Queries (SMQs) have been developed since the early 2000’s and used by academia, industry, public health, and government sectors for detecting safety signals in adverse event safety databases. The purpose of the present study is to characterize how SMQs are used and the impact in safety analyses for New Drug Application (NDA) and Biologics License Application (BLA) submissions to the United States Food and Drug Administration (USFDA). Methods We used the PharmaPendium database to capture SMQ use in Summary Basis of Approvals (SBoAs) of drugs and biologics approved by the USFDA. Characteristics of the drugs and the SMQ use were employed to evaluate the role of SMQ safety analyses in regulatory decisions and the veracity of signals they revealed. Results A comprehensive search of the SBoAs yielded 184 regulatory submissions approved from 2006 to 2015. Search strategies more frequently utilized restrictive searches with “narrow terms” to enhance specificity over strategies using “broad terms” to increase sensitivity, while some involved modification of search terms. A majority (59%) of 1290 searches used descriptive statistics, however inferential statistics were utilized in 35% of them. Commentary from reviewers and supervisory staff suggested that a small, yet notable percentage (18%) of 1290 searches supported regulatory decisions. The searches with regulatory impact were found in 73 submissions (40% of the submissions investigated). Most searches (75% of 227 searches) with regulatory implications described how the searches were confirmed, indicating prudence in the decision-making process. Conclusions SMQs have an increasing role in the presentation and review of safety analysis for NDAs/BLAs and their regulatory reviews. This study suggests that SMQs are best used for screening process, with descriptive statistics, description of SMQ modifications, and systematic verification of cases which is crucial for drawing regulatory conclusions. PMID:28570569

WASP (Write a Scientific Paper) using Excel - 3: Plotting data.

PubMed

Grech, Victor

2018-02-01

The plotting of data into graphs should be a mandatory step in all data analysis as part of a descriptive statistics exercise, since it gives the researcher an overview of the shape and nature of the data. Moreover, outlier values may be identified, which may be incorrect data, or true outliers, from which important findings (and publications) may arise. This exercise should always precede inferential statistics, when possible, and this paper in the Early Human Development WASP series provides some pointers for doing so in Microsoft Excel™. Copyright © 2018 Elsevier B.V. All rights reserved.

Problems faced and coping strategies used by adolescents with mentally ill parents in Delhi.

PubMed

George, Shoba; Shaiju, Bindu; Sharma, Veena

2012-01-01

The present study was conducted to assess the problems faced by adolescents whose parents suffer from major mental illness at selected mental health institutes of Delhi. The objectives also included assessment of the coping strategies of the adolescents in dealing with these problems. The Stuart Stress Adaptation Model of Psychiatric Nursing Care was used as the conceptual framework. A descriptive survey approach with cross-sectional design was used in the study. A structured interview schedule was prepared. Purposive non-probability sampling technique was employed to interview 50 adolescents whose parents suffer from major mental illness. Data gathered was analysed and interpreted using both descriptive and inferential statistics. The study showed that majority of the adolescents had moderate problems as a result of their parent's mental illness. Area-wise analysis of the problems revealed that the highest problems faced were in family relationship and support and majority of the adolescents used maladaptive coping strategies. A set of guidelines on effective coping strategies was disseminated to these adolescents.

South African Foundation Phase Teachers’ Perceptions of ADHD at Private and Public Schools

PubMed Central

Kern, Anwynne; Amod, Zaytoon; Seabi, Joseph; Vorster, Adri

2015-01-01

This study investigated foundation phase teachers’ perceptions of Attention Deficit Hyperactivity Disorder (ADHD). The teachers’ views on the aetiology, appropriate interventions and incidence rates of ADHD were examined. A total of 130 foundation phase teachers from mainstream private and public schools completed a self-developed questionnaire that had been piloted by the researchers. Both descriptive and inferential statistics were used to analyse the data, specifically to determine whether there were differences in responses between public and private school teachers. Thematic content analysis was used to identify the themes that emerged from the open-ended questions. It was found that the teachers had a limited understanding of ADHD, in terms of what it is as well as the aetiology. In addition, it emerged that medication was the preferred method of intervention despite the participants’ awareness of alternative intervention methods. A comparison of the private and public school teachers’ results indicated no significant difference in their perceptions regarding the aetiology, interventions or incidence rates of ADHD. PMID:25768242

Analysis of the lateral push-off in the freestyle flip turn.

PubMed

Araujo, Luciana; Pereira, Suzana; Gatti, Roberta; Freitas, Elinai; Jacomel, Gabriel; Roesler, Helio; Villas-Boas, Joao

2010-09-01

The aim of this study was to examine the contact phase during the lateral push-off in the turn of front crawl swimming to determine which biomechanical variables (maximum normalized peak force, contact time, impulse, angle of knee flexion, and total turn time within 15 m) contribute to the performance of this turn technique. Thirty-four swimmers of state, national, and international competitive standard participated in the study. For data collection, the following equipment was used: an underwater force platform, a 30-Hz VHS video camera, and a MiniDv digital camera within an underwater box. Data are expressed as descriptive statistics. Inferential analyses were performed using Pearson's correlation and multiple linear regressions. All variables studied had a significant relationship with turn performance. We conclude that a turn executed with a knee flexion angle of between 100° and 120° provides optimum peak forces to generate impulses that allow the swimmer to lose less time in the turn without the need for an excessive force application and with less energy lost.

Use of counselling services by school-attending adolescent girls in Nigeria.

PubMed

Azfredrick, Ezinwanne Christiana

2015-01-01

The purpose of this study was to examine the predictors and barriers to the use of school counselling services by school attending adolescent girls in south-east Nigeria. The study used a cross-sectional survey of 3065 adolescent girls, using a self-report counselling utilisation scale. Data were analysed using both descriptive and inferential statistics. About 80% of the participants had school counsellors and nearly half of the participants utilised the service. Regression results showed that father's level of education, availability of a counselling laboratory/room, contentment with the counselling services rendered predicted the use of the counselling service. Some of the barriers for non-use of school counselling services were shyness, fear and lack of confidentiality. School authorities will encourage uptake of counselling services by adolescents when adequate counselling consulting rooms are provided. This will increase confidence in adolescent clients and reduce fear attached to use of these services. This will improve their mental health and their academic performance.

[Inferential evaluation of intimacy based on observation of interpersonal communication].

PubMed

Kimura, Masanori

2015-06-01

How do people inferentially evaluate others' levels of intimacy with friends? We examined the inferential evaluation of intimacy based on the observation of interpersonal communication. In Experiment 1, participants (N = 41) responded to questions after observing conversations between friends. Results indicated that participants inferentially evaluated not only goodness of communication, but also intimacy between friends, using an expressivity heuristic approach. In Experiment 2, we investigated how inferential evaluation of intimacy was affected by prior information about relationships and by individual differences in face-to-face interactional ability. Participants (N = 64) were divided into prior- and no-prior-information groups and all performed the same task as in Experiment 1. Additionally, their interactional ability was assessed. In the prior-information group, individual differences had no effect on inferential evaluation of intimacy. On the other hand, in the no-prior-information group, face-to-face interactional ability partially influenced evaluations of intimacy. Finally, we discuss the fact that to understand one's social environment, it is important to observe others' interpersonal communications.

An introduction to inferentialism in mathematics education

NASA Astrophysics Data System (ADS)

Derry, Jan

2017-12-01

This paper introduces the philosophical work of Robert Brandom, termed inferentialism, which underpins this collection and argues that it offers rich theoretical resources for reconsidering many of the challenges and issues that have arisen in mathematics education. Key to inferentialism is the privileging of the inferential over the representational in an account of meaning; and of direct concern here is the theoretical relevance of this to the process by which learners gain knowledge. Inferentialism requires that the correct application of a concept is to be understood in terms of inferential articulation, simply put, understanding it as having meaning only as part of a set of related concepts. The paper explains how Brandom's account of the meaning is inextricably tied to freedom and it is our responsiveness to reasons involving norms which makes humans a distinctive life form. In an educational context norms, function to delimit the domain in which knowledge is acquired and it is here that the neglect of our responsiveness to reasons is significant, not only for Brandom but also for Vygotsky, with implications for how knowledge is understood in mathematics classrooms. The paper explains the technical terms in Brandom's account of meaning, such as deontic scorekeeping, illustrating these through examples to show how the inferential articulation of a concept, and thus its correct application, is made visible. Inferentialism fosters the possibility of overcoming some of the thorny old problems that have seen those on the side of facts and disciplines opposed to those whose primary concern is the meaning making of learners.

Peer Victimization and Prospective Changes in Children's Inferential Styles

ERIC Educational Resources Information Center

Gibb, Brandon E.; Stone, Lindsey B.; Crossett, Sarah E.

2012-01-01

There is evidence that the cognitive vulnerabilities featured in the hopelessness theory of depression--inferential styles for the causes, consequences, and self-worth implications of negative events--increase risk for depression. Given this, it is important to understand how these inferential styles develop. In this study, we examined the impact…

WASP (Write a Scientific Paper) using Excel - 8: t-Tests.

PubMed

Grech, Victor

2018-06-01

t-Testing is a common component of inferential statistics when comparing two means. This paper explains the central limit theorem and the concept of the null hypothesis as well as types of errors. On the practical side, this paper outlines how different t-tests may be performed in Microsoft Excel, for different purposes, both statically as well as dynamically, with Excel's functions. Copyright © 2018 Elsevier B.V. All rights reserved.

Effect of Tribulus terrestris, ginger, saffron, and Cinnamomum on menopausal symptoms: a randomised, placebo-controlled clinical trial.

PubMed

Taavoni, Simin; Ekbatani, Neda Nazem; Haghani, Hamid

2017-03-01

Menopausal symptoms experienced by women vary widely, and while many women transition through menopause with manageable symptoms, others experience severe symptoms, which may impair their quality of life. The purpose of this study was to determine the effect of Tribulus terrestris , ginger, saffron, and Cinnamomum on menopausal symptoms. A randomised, triple-blind, controlled trial design was used for this study. The participants were 80 postmenopausal women aged 50-60 years. A demographic data form and the Menopause Rating Scale were used to collect data. The women were randomly divided into two groups, each of which received either an Aphrodit capsule or a placebo twice a day for four weeks. The two bottles looked exactly the same, so that the investigator and the participants were not aware of the contents of the bottles. Each Aphrodit capsule contained 40 mg of Tribulus terrestris , 12.27 mg of Zingiber officinale , 3 mg of Crocus sativus extract, and 11 mg of Cinnamomum zeylanicum , while the placebo capsules contained 50 mg of starch. Descriptive and inferential statistics were used to analyse the data. A statistically significant change was reported in the menopausal symptoms of the intervention group compared with the placebo group. The results of the study demonstrate that the Aphrodit capsule was effective in reducing menopausal symptoms.

Secondary analysis of data can inform care delivery for Indigenous women in an acute mental health inpatient unit.

PubMed

Bradley, Pat; Cunningham, Teresa; Lowell, Anne; Nagel, Tricia; Dunn, Sandra

2017-02-01

There is a paucity of research exploring Indigenous women's experiences in acute mental health inpatient services in Australia. Even less is known of Indigenous women's experience of seclusion events, as published data are rarely disaggregated by both indigeneity and gender. This research used secondary analysis of pre-existing datasets to identify any quantifiable difference in recorded experience between Indigenous and non-Indigenous women, and between Indigenous women and Indigenous men in an acute mental health inpatient unit. Standard separation data of age, length of stay, legal status, and discharge diagnosis were analysed, as were seclusion register data of age, seclusion grounds, and number of seclusion events. Descriptive statistics were used to summarize the data, and where warranted, inferential statistical methods used SPSS software to apply analysis of variance/multivariate analysis of variance testing. The results showed evidence that secondary analysis of existing datasets can provide a rich source of information to describe the experience of target groups, and to guide service planning and delivery of individualized, culturally-secure mental health care at a local level. The results are discussed, service and policy development implications are explored, and suggestions for further research are offered. © 2016 Australian College of Mental Health Nurses Inc.

A team public health research project for first-year pharmacy students to apply content from didactic courses.

PubMed

Fuentes, David; Deguire, Nancy; Patel, Rajul; Boyce, Eric

2010-08-10

To implement and assess a first-year pharmacy student group research project that provided practical hands-on application and reinforced the curricula of concurrent didactic courses. Groups of 6 to 7 students chose a public health topic based on the Healthy People 2010 Priority Areas and created a survey instrument. Faculty facilitated mock institutional review board (IRB) review sessions which provided teams with ongoing feedback and refinement recommendations before each team administered their survey instrument to a predefined population. Data analysis, formal written reports, and oral presentations were presented to peers and project faculty members. Teams complied with the requirements of the mock IRB, effectively applied basic research principles learned in class, collected survey data, performed inferential statistical analyses on the data, , and presented their project findings. Two-hundred six of 210 students (98%) reported feeling satisfied with both the results of their project and the accomplishments of their team. Teams applied a varied skill set including primary literature evaluation, basic research principles, statistics, public speaking, and peer collaboration in conducting a public health research project. First-year pharmacy students may benefit from participation in a collaborative research project that provides hands-on application of material being taught in didactic courses.

Who theorizes age? The "socio-demographic variables" device and age-period-cohort analysis in the rhetoric of survey research.

PubMed

Rughiniș, Cosima; Humă, Bogdana

2015-12-01

In this paper we argue that quantitative survey-based social research essentializes age, through specific rhetorical tools. We outline the device of 'socio-demographic variables' and we discuss its argumentative functions, looking at scientific survey-based analyses of adult scientific literacy, in the Public Understanding of Science research field. 'Socio-demographics' are virtually omnipresent in survey literature: they are, as a rule, used and discussed as bundles of independent variables, requiring little, if any, theoretical and measurement attention. 'Socio-demographics' are rhetorically effective through their common-sense richness of meaning and inferential power. We identify their main argumentation functions as 'structure building', 'pacification', and 'purification'. Socio-demographics are used to uphold causal vocabularies, supporting the transmutation of the descriptive statistical jargon of 'effects' and 'explained variance' into 'explanatory factors'. Age can also be studied statistically as a main variable of interest, through the age-period-cohort (APC) disambiguation technique. While this approach has generated interesting findings, it did not mitigate the reductionism that appears when treating age as a socio-demographic variable. By working with age as a 'socio-demographic variable', quantitative researchers convert it (inadvertently) into a quasi-biological feature, symmetrical, as regards analytical treatment, with pathogens in epidemiological research. Copyright © 2015 Elsevier Inc. All rights reserved.

Effects of Stress and Working Memory Capacity on Foreign Language Readers' Inferential Processing during Comprehension

ERIC Educational Resources Information Center

Rai, Manpreet K.; Loschky, Lester C.; Harris, Richard Jackson; Peck, Nicole R.; Cook, Lindsay G.

2011-01-01

Although stress is frequently claimed to impede foreign language (FL) reading comprehension, it is usually not explained how. We investigated the effects of stress, working memory (WM) capacity, and inferential complexity on Spanish FL readers' inferential processing during comprehension. Inferences, although necessary for reading comprehension,…

Management Innovations in Higher Education: A Descriptive Study of Information Technology Managers' Perceptions Regarding the Use and Value of Project Management in Institutions of Higher Education

ERIC Educational Resources Information Center

Durbin, Michael P.

2013-01-01

This study examined the perspectives of IT managers working in colleges and universities regarding their use of and value for project management. Descriptive and inferential analyses were used to understand individual innovativeness, innovation characteristics of project management, and the perceived use of and value for project management best…

Do non-communicable diseases such as hypertension and diabetes associate with primary open-angle glaucoma? Insights from a case-control study in Nepal.

PubMed

Shakya-Vaidya, Suraj; Aryal, Umesh Raj; Upadhyay, Madan; Krettek, Alexandra

2013-11-04

Non-communicable diseases (NCDs) such as hypertension and diabetes are rapidly emerging public health problems worldwide, and they associate with primary open-angle glaucoma (POAG). POAG is the most common cause of irreversible blindness. The most effective ways to prevent glaucoma blindness involve identifying high-risk populations and conducting routine screening for early case detection. This study investigated whether POAG associates with hypertension and diabetes in a Nepalese population. To explore the history of systemic illness, our hospital-based case-control study used non-random consecutive sampling in the general eye clinics in three hospitals across Nepal to enroll patients newly diagnosed with POAG and controls without POAG. The study protocol included history taking, ocular examination, and interviews with 173 POAG cases and 510 controls. Data analysis comprised descriptive and inferential statistics. Descriptive statistics computed the percentage, mean, and standard deviation (SD); inferential statistics used McNemar's test to measure associations between diseases. POAG affected males more frequently than females. The odds of members of the Gurung ethnic group having POAG were 2.05 times higher than for other ethnic groups. Hypertension and diabetes were strongly associated with POAG. The overall odds of POAG increased 2.72-fold among hypertensive and 3.50-fold among diabetic patients. POAG associates significantly with hypertension and diabetes in Nepal. Thus, periodic glaucoma screening for hypertension and diabetes patients in addition to opportunistic screening at eye clinics may aid in detecting more POAG cases at an early stage and hence in reducing avoidable blindness.

Spatial Accessibility and Availability Measures and Statistical Properties in the Food Environment

PubMed Central

Van Meter, E.; Lawson, A.B.; Colabianchi, N.; Nichols, M.; Hibbert, J.; Porter, D.; Liese, A.D.

2010-01-01

Spatial accessibility is of increasing interest in the health sciences. This paper addresses the statistical use of spatial accessibility and availability indices. These measures are evaluated via an extensive simulation based on cluster models for local food outlet density. We derived Monte Carlo critical values for several statistical tests based on the indices. In particular we are interested in the ability to make inferential comparisons between different study areas where indices of accessibility and availability are to be calculated. We derive tests of mean difference as well as tests for differences in Moran's I for spatial correlation for each of the accessibility and availability indices. We also apply these new statistical tests to a data example based on two counties in South Carolina for various accessibility and availability measures calculated for food outlets, stores, and restaurants. PMID:21499528

The impact of tinnitus on daily activities in adult tinnitus sufferers: A pilot study.

PubMed

Moroe, Nomfundo F; Khoza-Shangase, Katijah

2014-08-27

Few South African studies have been published on the impact of tinnitus on quality of life of tinnitus sufferers, although evidence suggests that a large portion of the general population suffers from tinnitus. The current study aimed at describing the effects of tinnitus on the quality of life of the participants as measured by the Tinnitus Handicap Inventory (THI). In a cross-sectional descriptive study design, 27 participants took part in the study by completing a self-administered THI questionnaire and participating in a semi-structured interview. Descriptive and inferential statistics were used to analyse the data. Descriptively, content analysis was used to organise and convey results from the interviews. Participants reported a wide range of perceived disability on the THI. Results ranged from mild to catastrophic, with functional disability being most prominent in all participants, although there were differences when results were analysed according to gender. There was an association between gender and the type of perceived disability, although this was statistically non-significant (p > 0.05). Only 26% of the participants reported no effect on occupational performance and quality of life, with the remainder of the participants reporting a significant effect. Limited effective management strategies were reported to have been implemented - a significant implication for the audiologists. The results have implications for audiologists as they suggest that audiologists should take a detailed case history to determine the extent to which tinnitus affects the individual. Furthermore, audiologists should administer a scale such as the THI in the management of tinnitus.

Probabilistic Ontology Architecture for a Terrorist Identification Decision Support System

DTIC Science & Technology

2014-06-01

in real-world problems requires probabilistic ontologies, which integrate the inferential reasoning power of probabilistic representations with the... inferential reasoning power of probabilistic representations with the first-order expressivity of ontologies. The Reference Architecture for...ontology, terrorism, inferential reasoning, architecture I. INTRODUCTION A. Background Whether by nature or design, the personas of terrorists are

[Diffusion of clinical governance among the Italian Local Health Units (LHUs). Analysis of the Health Surveys, the Firm Acts and the Health Plans].

PubMed

de Belvis, A G; Biasco, A; Pelone, F; Romaniello, A; De Micco, F; Volpe, M; Ricciardi, W

2009-01-01

The objective of our research is to report on the diffusion of Clinical Governance, as introduced with the National Health Plan 2006-2008, by analysing the planning instruments set up by each Region (Regional Health Plans and Emergency Plans in regions with budget deficit), the organizational frameworks (Atti Aziendali, firm acts), and the surveys on performance and quality of healthcare among the Italian Local Health Units (Health Surveys). Our research was realized on September-December 2007 and consisted of the collection of all retrieved documents available on the web and on the online public access catalog (OPAC SBN) of the National Library Service. Futhermore, each document has been classified and analysed according to Chambers' Clinical Governance definition. A descriptive statistical and inferential analysis by applying the Chi-2 Test was performed to test the correlation between the diffusion of such a classified documents and the geographical partition of each LHU. Our results show a scarce diffusion of Firm acts (43%) and Health Surveys (24.9% of the total). Any remind to Clinical Governance instruments and methods inside each document resulted even poorer among both the organizational and performance surveys and the regional health planning frameworks, respectively.

The Occurrence of Repeated High Acceleration Ability (RHAA) in Elite Youth Football.

PubMed

Serpiello, Fabio R; Duthie, Grant M; Moran, Codey; Kovacevic, Damian; Selimi, Erch; Varley, Matthew C

2018-06-05

The aim of the present study was to investigate the occurrence of Repeated High-Acceleration Ability (RHAA) bouts in elite youth football games using 10-Hz GPS devices and two relative thresholds derived from players' actual maximal acceleration. Thirty-six outfield soccer players (age 14.9±0.6 years) participated in the study. Players wore 10-Hz GPS units during 41 official games. High accelerations were defined as efforts commencing above a threshold corresponding to 70% (T70%) or 80% (T80%) of the average 5-m acceleration obtained during a 40-m sprint test; RHAA bouts were defined as ≥3 efforts with ≤45 s recovery between efforts. Results were analysed via generalised linear mixed model and magnitude-based inferential statistics. On average, 8.0±4.6 and 5.1±3.5 bouts were detected in an entire game using T70% and T80%, respectively. When all positions were analysed together, there was a very-likely small difference in the number of RHAA bouts between first and second half for T70% and T80%, respectively. RHAA bouts occur frequently in elite youth football, with small differences between halves and between playing positions within the first or second half in most variables assessed. © Georg Thieme Verlag KG Stuttgart · New York.

Attitude towards statistics and performance among post-graduate students

NASA Astrophysics Data System (ADS)

Rosli, Mira Khalisa; Maat, Siti Mistima

2017-05-01

For student to master Statistics is a necessity, especially for those post-graduates that are involved in the research field. The purpose of this research was to identify the attitude towards Statistics among the post-graduates and to determine the relationship between the attitude towards Statistics and post-graduates' of Faculty of Education, UKM, Bangi performance. 173 post-graduate students were chosen randomly to participate in the study. These students registered in Research Methodology II course that was introduced by faculty. A survey of attitude toward Statistics using 5-points Likert scale was used for data collection purposes. The instrument consists of four components such as affective, cognitive competency, value and difficulty. The data was analyzed using the SPSS version 22 in producing the descriptive and inferential Statistics output. The result of this research showed that there is a medium and positive relation between attitude towards statistics and students' performance. As a conclusion, educators need to access students' attitude towards the course to accomplish the learning outcomes.

Can We Teach Reasoning? Should We?

NASA Astrophysics Data System (ADS)

Moore, John W.

1997-04-01

A reader's reaction to what I wrote here in December led me to a very interesting article in Science, where Nisbett et al. report psychological studies that suggest that "even brief formal training in inferential rules may enhance their use for reasoning about everyday life events" (1). But the authors also quote data that imply that chemistry graduate programs are not very effective in helping students develop their abilities to apply statistical reasoning and logical reasoning to unfamiliar problems.

The Thurgood Marshall School of Law Empirical Findings: A Report of Differences of Texas Bar Passing Percentages of Students Receiving the TMSL Scholarship during the Years 2005-2009 versus Those Not Receiving the TMSL Scholarship

ERIC Educational Resources Information Center

Kadhi, T.; Holley, D.; Garrison, P.; Green, T.

2010-01-01

The following report of descriptive/inferential statistics describes the population of students receiving the Thurgood Marshall School of Law (TMSL) scholarship versus those who do not and their relationship with student Bar Passing rate and GPA. The timeline observed are the calendar years of 2005-2009. Data collection and analysis for this…

Estimating the probability of rare events: addressing zero failure data.

PubMed

Quigley, John; Revie, Matthew

2011-07-01

Traditional statistical procedures for estimating the probability of an event result in an estimate of zero when no events are realized. Alternative inferential procedures have been proposed for the situation where zero events have been realized but often these are ad hoc, relying on selecting methods dependent on the data that have been realized. Such data-dependent inference decisions violate fundamental statistical principles, resulting in estimation procedures whose benefits are difficult to assess. In this article, we propose estimating the probability of an event occurring through minimax inference on the probability that future samples of equal size realize no more events than that in the data on which the inference is based. Although motivated by inference on rare events, the method is not restricted to zero event data and closely approximates the maximum likelihood estimate (MLE) for nonzero data. The use of the minimax procedure provides a risk adverse inferential procedure where there are no events realized. A comparison is made with the MLE and regions of the underlying probability are identified where this approach is superior. Moreover, a comparison is made with three standard approaches to supporting inference where no event data are realized, which we argue are unduly pessimistic. We show that for situations of zero events the estimator can be simply approximated with 1/2.5n, where n is the number of trials. © 2011 Society for Risk Analysis.

["The most ill go into psychoanalytic treatment"? Critical comments on an article in Report Psychologie].

PubMed

Richter, R; Hartmann, A; Meyer, A E; Rüger, U

1994-01-01

Thomas and Schmitz claim that they "deliver a proof for the effectiveness of humanistic methods" (p. 25) with their study. However, they did not or were not able to verify their claim due to several reasons: The authors did not say if and if so to what extent the treatments carried out within the framework of the TK-regulation were treatments using humanistic methods. The validity of the only criterium used by the authors, the average duration of the inability to work, must be questioned. The inferential statistical treatment of the data is insufficient; a non-parametrical evaluation is necessary. Especially missing are personal details concerning the treatment groups (age, sex, occupation, method, duration and frequency of therapy), which are indispensable for a differentiated interpretation. In addition there are numerous formal faults (wrong quotations, mistakes in tables, unclear terms etc.). In view of this criticism we come to the conclusion that the results are to a large degree worthless, at least until several of our objections have been refuted by further information and adequate inferential statistical methods. This study is especially unsuitable to prove a however defined "effectiveness of out-patient psychotherapies", therefore also not suitable to prove the effectiveness of those treatments conducted within the framework of the TK-regulation and especially not suitable to prove the superiority of humanistic methods in comparison with psychoanalytic methods and behavioural therapy.

WASP (Write a Scientific Paper) using Excel - 2: Pivot tables.

PubMed

Grech, Victor

2018-02-01

Data analysis at the descriptive stage and the eventual presentation of results requires the tabulation and summarisation of data. This exercise should always precede inferential statistics. Pivot tables and pivot charts are one of Excel's most powerful and underutilised features, with tabulation functions that immensely facilitate descriptive statistics. Pivot tables permit users to dynamically summarise and cross-tabulate data, create tables in several dimensions, offer a range of summary statistics and can be modified interactively with instant outputs. Large and detailed datasets are thereby easily manipulated making pivot tables arguably the best way to explore, summarise and present data from many different angles. This second paper in the WASP series in Early Human Development provides pointers for pivot table manipulation in Excel™. Copyright © 2018 Elsevier B.V. All rights reserved.

Statistical analysis of subjective preferences for video enhancement

NASA Astrophysics Data System (ADS)

Woods, Russell L.; Satgunam, PremNandhini; Bronstad, P. Matthew; Peli, Eli

2010-02-01

Measuring preferences for moving video quality is harder than for static images due to the fleeting and variable nature of moving video. Subjective preferences for image quality can be tested by observers indicating their preference for one image over another. Such pairwise comparisons can be analyzed using Thurstone scaling (Farrell, 1999). Thurstone (1927) scaling is widely used in applied psychology, marketing, food tasting and advertising research. Thurstone analysis constructs an arbitrary perceptual scale for the items that are compared (e.g. enhancement levels). However, Thurstone scaling does not determine the statistical significance of the differences between items on that perceptual scale. Recent papers have provided inferential statistical methods that produce an outcome similar to Thurstone scaling (Lipovetsky and Conklin, 2004). Here, we demonstrate that binary logistic regression can analyze preferences for enhanced video.

Hypothesis-Testing Demands Trustworthy Data—A Simulation Approach to Inferential Statistics Advocating the Research Program Strategy

PubMed Central

Krefeld-Schwalb, Antonia; Witte, Erich H.; Zenker, Frank

2018-01-01

In psychology as elsewhere, the main statistical inference strategy to establish empirical effects is null-hypothesis significance testing (NHST). The recent failure to replicate allegedly well-established NHST-results, however, implies that such results lack sufficient statistical power, and thus feature unacceptably high error-rates. Using data-simulation to estimate the error-rates of NHST-results, we advocate the research program strategy (RPS) as a superior methodology. RPS integrates Frequentist with Bayesian inference elements, and leads from a preliminary discovery against a (random) H0-hypothesis to a statistical H1-verification. Not only do RPS-results feature significantly lower error-rates than NHST-results, RPS also addresses key-deficits of a “pure” Frequentist and a standard Bayesian approach. In particular, RPS aggregates underpowered results safely. RPS therefore provides a tool to regain the trust the discipline had lost during the ongoing replicability-crisis. PMID:29740363

Hypothesis-Testing Demands Trustworthy Data-A Simulation Approach to Inferential Statistics Advocating the Research Program Strategy.

PubMed

Krefeld-Schwalb, Antonia; Witte, Erich H; Zenker, Frank

2018-01-01

In psychology as elsewhere, the main statistical inference strategy to establish empirical effects is null-hypothesis significance testing (NHST). The recent failure to replicate allegedly well-established NHST-results, however, implies that such results lack sufficient statistical power, and thus feature unacceptably high error-rates. Using data-simulation to estimate the error-rates of NHST-results, we advocate the research program strategy (RPS) as a superior methodology. RPS integrates Frequentist with Bayesian inference elements, and leads from a preliminary discovery against a (random) H 0 -hypothesis to a statistical H 1 -verification. Not only do RPS-results feature significantly lower error-rates than NHST-results, RPS also addresses key-deficits of a "pure" Frequentist and a standard Bayesian approach. In particular, RPS aggregates underpowered results safely. RPS therefore provides a tool to regain the trust the discipline had lost during the ongoing replicability-crisis.

Physician pattern of patient notification of test results.

PubMed

Thiedke, Carolyn C; Hoeft, Katherine A; Pearson, William S

2005-01-01

To discover how community-based family physicians notify patients of test results and whether there are differences based on sex, length of time in practice, reimbursement status, employment status,or percentage of practice in managed care. We mailed a survey to 500 randomly selected members of the South Carolina chapter of the American Academy of Family Physicians. All analyses were preformed using SASTM version 8.2. Both descriptive and inferential statistics were used to analyze the collected data. A total of 367 physicians responded (73% response rate). The main outcome variable was the time each physician spent notifying patients of test results: a mean of 20.86 +/- 18.3 minutes per day(range 0-120 minutes/day). Women physicians and those with more than 75% managed care were significantly more likely to spend more than the median time notifying patients of test results. Physicians vary in the amount of time they spend notifying patients of their test results, with female physicians and those with more than 75% of their practice in managed care spending more time than do male physicians and physicians with less managed care.

Perception of hospital learning environment: a survey of Hong Kong nursing students.

PubMed

Chan, Dominic S K; Ip, Wan Y

2007-10-01

The last two decades have seen widespread changes to nurse education but the clinical field remains an essential and invaluable resource in preparing students for the reality of their professional role, supporting the integration of theory and practice, and linking the 'knowing what' to do with the 'knowing how' to deliver care. The clinical learning environment represents a vital element of nurse education that needs to be measurable and warrants further investigation. This survey study examined Hong Kong nursing students' perception of the social climate of the clinical learning environment. Participants were invited to complete the two versions, the Actual and Preferred Forms, of the Clinical Learning Environment Inventory following the completion of their clinical field placement. Two hundred eighty one Actual Forms and 243 Preferred Forms returned. SPPS version 11 was employed to analyse data with descriptive and inferential statistics. It was found that there were significant differences between students' perceptions of the actual clinical learning environment and the ideal clinical learning environment they desired. The study highlights the need for a supportive clinical learning environment which is of paramount importance for students in clinical practice.

All the world's a stage: evaluating psychiatry role-play based learning for medical students.

PubMed

King, Joel; Hill, Kathryn; Gleason, Andrew

2015-02-01

This paper describes an evaluation of an innovative approach, role-play based learning (RBL), as a vehicle for teaching psychiatry. The aim of this intervention, where medical students perform both doctor and patients roles, was to provide an interactive learning format that engaged students while developing clinical knowledge and communication skills in a structured, reflective environment. Questionnaires were completed by 107 students from three clinical schools of the University of Melbourne. Data were analysed using descriptive and inferential statistics and thematic content analysis. Student evaluations of the RBL sessions were overwhelmingly positive. Respondents reported improvements in engagement, confidence and empathy, as well as in their learning, and that the sessions provided good preparation for internship as well as for exams. The RBL tutorial programme is unique and flexible and could readily be adapted for use in other specialty rotations. It is also timely, given the increased interest in simulation prompted by increasing pressure on training places across the health sciences in Australia. © The Royal Australian and New Zealand College of Psychiatrists 2014.

Trends in Second-Hand Tobacco Smoke Exposure Levels at Home among Viet Nam School Children Aged 13-15 and Associated Factors.

PubMed

Lam, Nguyen Tuan; Nga, Pham Thi Quynh; Minh, Hoang Van; Giang, Kim Bao; Hai, Phan Thi; Huyen, Doan Thu; Linh, Nguyen Thuy; Van, Duong Khanh; Khue, Luong Ngoc

2016-01-01

Second-hand tobacco smoke (SHS) exposure at home, especially among children, is a serious issue in Viet Nam. During the past decade, much effort has been taken for tobacco control in the country, including various prgorammes aiming to reduce SHS exposure among adults and children. This article analysed trends and factors associated with SHS exposure at home among school children aged 13-15 in Viet Nam, using the Global Youth Tobacco Surveys conducted in 2007 and 2014. Descriptive and inferential statistical methods with logistic regression were applied. Overall, there was a significant reduction in the level of exposure, from 58.5% (95%CI: 57.6-59.3) in 2007 to 47.1% (95%CI: 45.4-48.8) in 2014. Of the associated factors, having one or both parents smoking was significantly associated with the highest odds of SHS exposure at home (OR=5.0; 95%CI: 4.2-6.1). Conversely, having a mother with a college or higher education level was found to be a protective factor (OR=0.5; 95%CI: 0.3-0.8).

[Parental practices and pedestrian risk behaviors in Chilean adolescents].

PubMed

Herrera, Andrea C; Repetto, Paula B

2014-08-01

Traffic accidents are the second leading cause of death among adolescents and young adults in Chile. However, few studies have examined this behavior among this age group. Parental practices have a great influence on risk behaviors in adolescents, such as substance use, sexuality and violence, among others. Specifically, we propose that these practices will influence pedestrian risk behaviors among adolescents. To study the role of parental practices such as mother and father support, and behavioral control (monitoring and presence of rules) in pedestrian risk behaviors of teenagers. A sample of 470 adolescents attending schools in the Metropolitan Region of Santiago, Chile were studied. They answered a self-administered questionnaire in which they were asked about parental practices and pedestrian risk behaviors. Analyses were performed using descriptive and inferential statistics, using multiple regression. Paternal support and the presence of rules were protective factors for pedestrian risky behaviors. However, maternal support or monitoring did not influence these behaviors. Parental practices influence pedestrian behaviors of teenagers. The study provides further evidence for the importance of these practices in the development of behavioral self-regulation.

Pressure Ulcer Risk Evaluation in Critical Patients: Clinical and Social Characteristics.

PubMed

de Azevedo Macena, Mônica Suêla; da Costa Silva, Rayanne Suely; Dias Fernandes, Maria Isabel Da Conceição; de Almeida Medeiros, Ana Beatriz; Batista Lúcio, Kadyjina Daiane; de Carvalho Lira, Ana Luisa Brandão

2017-01-01

Pressure ulcers increase hospital stays and treatment costs due to their complications. Therefore, recognizing factors that contribute to pressure ulcer risk are important to patient safety. To evaluate the association between the scores of the Waterlow, Braden, and Norton scales and clinical and social characteristics in critically ill patients. A cross-sectional study of 78 patients in an adult intensive care unit of a university hospital in Northeastern Brazil was conducted from July to December 2015. Data included social and clinical information and the risk factors of the Braden, Norton and Waterlow scales. Data were analysed by the descriptive and inferential statistics. Most of the participants were female, adults and elderly people with brown skin colour, low education levels and insufficient income. Most of them showed a high risk for developing pressure ulcers using the three evaluated scales. Age, smoking status, diabetes and hypertension were associated with scores on the Waterlow, Braden and Norton scales. Age, use of the tobacco, diabetes and hypertension were associated with the risk of pressure ulcers in ICU patients.

African Primary Care Research: Quantitative analysis and presentation of results

PubMed Central

Ogunbanjo, Gboyega A.

2014-01-01

Abstract This article is part of a series on Primary Care Research Methods. The article describes types of continuous and categorical data, how to capture data in a spreadsheet, how to use descriptive and inferential statistics and, finally, gives advice on how to present the results in text, figures and tables. The article intends to help Master's level students with writing the data analysis section of their research proposal and presenting their results in their final research report. PMID:26245435

Measurement and Analysis Infrastructure Diagnostic (MAID) Evaluation Criteria, Version 1.0

DTIC Science & Technology

2010-02-01

information) 13 These criteria do not address data collection for special cases such as inferential statistical studies which would imply the need for...2009-TR-022 3.2 When a dataset is examined 3.2.1 a data value is not missing from a data cell unless entry has been specified as optional 3.2.2 data... dataset distribution is examined to expose data outliers (if they exist) and to ensure that departures from underlying assumptions associated with the

The influence of socio cultural dynamics on convergence communication of aquaculture agribusiness actors

NASA Astrophysics Data System (ADS)

Oktavia, Y.

2018-03-01

This research aims to: (1) Analyze the level of socio-cultural dynamics of agibusiness aquaculture actors. (2) Analyze the influence of socio-cultural dynamics on convergence communication of capacity development of aquaculture agribusiness actors.Data was collected by questionnaire and interview of group members on agribusiness. Data analyze was done by descriptive and inferential statistics with using SEM method. The result of descriptive statistics on 284 agribusiness members showed that: Socio-cultural dynamics of agibusiness aquaculture actors was in low category, as shown by lack of the role of customary institutions and quality of local leadership.The communication convergence is significantly and positively influenced by the communication behavior of agribusiness actors in access information.

Accounting for genotype uncertainty in the estimation of allele frequencies in autopolyploids.

PubMed

Blischak, Paul D; Kubatko, Laura S; Wolfe, Andrea D

2016-05-01

Despite the increasing opportunity to collect large-scale data sets for population genomic analyses, the use of high-throughput sequencing to study populations of polyploids has seen little application. This is due in large part to problems associated with determining allele copy number in the genotypes of polyploid individuals (allelic dosage uncertainty-ADU), which complicates the calculation of important quantities such as allele frequencies. Here, we describe a statistical model to estimate biallelic SNP frequencies in a population of autopolyploids using high-throughput sequencing data in the form of read counts. We bridge the gap from data collection (using restriction enzyme based techniques [e.g. GBS, RADseq]) to allele frequency estimation in a unified inferential framework using a hierarchical Bayesian model to sum over genotype uncertainty. Simulated data sets were generated under various conditions for tetraploid, hexaploid and octoploid populations to evaluate the model's performance and to help guide the collection of empirical data. We also provide an implementation of our model in the R package polyfreqs and demonstrate its use with two example analyses that investigate (i) levels of expected and observed heterozygosity and (ii) model adequacy. Our simulations show that the number of individuals sampled from a population has a greater impact on estimation error than sequencing coverage. The example analyses also show that our model and software can be used to make inferences beyond the estimation of allele frequencies for autopolyploids by providing assessments of model adequacy and estimates of heterozygosity. © 2015 John Wiley & Sons Ltd.

Adaptive inferential sensors based on evolving fuzzy models.

PubMed

Angelov, Plamen; Kordon, Arthur

2010-04-01

A new technique to the design and use of inferential sensors in the process industry is proposed in this paper, which is based on the recently introduced concept of evolving fuzzy models (EFMs). They address the challenge that the modern process industry faces today, namely, to develop such adaptive and self-calibrating online inferential sensors that reduce the maintenance costs while keeping the high precision and interpretability/transparency. The proposed new methodology makes possible inferential sensors to recalibrate automatically, which reduces significantly the life-cycle efforts for their maintenance. This is achieved by the adaptive and flexible open-structure EFM used. The novelty of this paper lies in the following: (1) the overall concept of inferential sensors with evolving and self-developing structure from the data streams; (2) the new methodology for online automatic selection of input variables that are most relevant for the prediction; (3) the technique to detect automatically a shift in the data pattern using the age of the clusters (and fuzzy rules); (4) the online standardization technique used by the learning procedure of the evolving model; and (5) the application of this innovative approach to several real-life industrial processes from the chemical industry (evolving inferential sensors, namely, eSensors, were used for predicting the chemical properties of different products in The Dow Chemical Company, Freeport, TX). It should be noted, however, that the methodology and conclusions of this paper are valid for the broader area of chemical and process industries in general. The results demonstrate that well-interpretable and with-simple-structure inferential sensors can automatically be designed from the data stream in real time, which predict various process variables of interest. The proposed approach can be used as a basis for the development of a new generation of adaptive and evolving inferential sensors that can address the challenges of the modern advanced process industry.

Statistical methods used in the public health literature and implications for training of public health professionals

PubMed Central

Hayat, Matthew J.; Powell, Amanda; Johnson, Tessa; Cadwell, Betsy L.

2017-01-01

Statistical literacy and knowledge is needed to read and understand the public health literature. The purpose of this study was to quantify basic and advanced statistical methods used in public health research. We randomly sampled 216 published articles from seven top tier general public health journals. Studies were reviewed by two readers and a standardized data collection form completed for each article. Data were analyzed with descriptive statistics and frequency distributions. Results were summarized for statistical methods used in the literature, including descriptive and inferential statistics, modeling, advanced statistical techniques, and statistical software used. Approximately 81.9% of articles reported an observational study design and 93.1% of articles were substantively focused. Descriptive statistics in table or graphical form were reported in more than 95% of the articles, and statistical inference reported in more than 76% of the studies reviewed. These results reveal the types of statistical methods currently used in the public health literature. Although this study did not obtain information on what should be taught, information on statistical methods being used is useful for curriculum development in graduate health sciences education, as well as making informed decisions about continuing education for public health professionals. PMID:28591190

Statistical methods used in the public health literature and implications for training of public health professionals.

PubMed

Hayat, Matthew J; Powell, Amanda; Johnson, Tessa; Cadwell, Betsy L

2017-01-01

Statistical literacy and knowledge is needed to read and understand the public health literature. The purpose of this study was to quantify basic and advanced statistical methods used in public health research. We randomly sampled 216 published articles from seven top tier general public health journals. Studies were reviewed by two readers and a standardized data collection form completed for each article. Data were analyzed with descriptive statistics and frequency distributions. Results were summarized for statistical methods used in the literature, including descriptive and inferential statistics, modeling, advanced statistical techniques, and statistical software used. Approximately 81.9% of articles reported an observational study design and 93.1% of articles were substantively focused. Descriptive statistics in table or graphical form were reported in more than 95% of the articles, and statistical inference reported in more than 76% of the studies reviewed. These results reveal the types of statistical methods currently used in the public health literature. Although this study did not obtain information on what should be taught, information on statistical methods being used is useful for curriculum development in graduate health sciences education, as well as making informed decisions about continuing education for public health professionals.

Effect of Tribulus terrestris, ginger, saffron, and Cinnamomum on menopausal symptoms: a randomised, placebo-controlled clinical trial

PubMed Central

Taavoni, Simin; Haghani, Hamid

2017-01-01

Menopausal symptoms experienced by women vary widely, and while many women transition through menopause with manageable symptoms, others experience severe symptoms, which may impair their quality of life. The purpose of this study was to determine the effect of Tribulus terrestris, ginger, saffron, and Cinnamomum on menopausal symptoms. A randomised, triple-blind, controlled trial design was used for this study. The participants were 80 postmenopausal women aged 50–60 years. A demographic data form and the Menopause Rating Scale were used to collect data. The women were randomly divided into two groups, each of which received either an Aphrodit capsule or a placebo twice a day for four weeks. The two bottles looked exactly the same, so that the investigator and the participants were not aware of the contents of the bottles. Each Aphrodit capsule contained 40 mg of Tribulus terrestris, 12.27 mg of Zingiber officinale, 3 mg of Crocus sativus extract, and 11 mg of Cinnamomum zeylanicum, while the placebo capsules contained 50 mg of starch. Descriptive and inferential statistics were used to analyse the data. A statistically significant change was reported in the menopausal symptoms of the intervention group compared with the placebo group. The results of the study demonstrate that the Aphrodit capsule was effective in reducing menopausal symptoms. PMID:28546803

Determination of the effect of lift characteristics on dynamic performance profiles during manual materials handling tasks.

PubMed

Khalaf, K A; Parnianpour, M; Sparto, P J; Barin, K

1999-01-01

In any quantitative gait or occupational biomechanics investigation, the quantification of the different kinematic, kinetic, and electromyographic parameters is essential towards assessment of functional capacity and development of a biomechanical profile of the task demands. In the current study, the authors presented a methodology for using inferential statistics to evaluate the effect of lift characteristics on phase-dependent and phase-independent variability in performance. Using a database of kinematic and kinetic profiles obtained from a manual lifting study, the phase-dependent effects of lift characteristics: box mass (load), mode (technique of lift), and speed (frequency of lift) were investigated through the use of analysis of variance (ANOVA) techniques, which recognize the vectorial constitution of the profiles. In addition, the Karhunen-Loeve Expansion (KLE) feature extraction method was used for representing the lifting patterns of measured joint angular position, velocity, acceleration, and net muscular torque profiles obtained from a 2-D biomechanical lifting model in order to study the phase-independent effects. In comparison to traditional descriptive statistical analyses currently used in various occupational biomechanics experimental investigations, this method allows the significant information content of the time varying signal to be captured, enhancing the sensitivity of subsequent hypothesis testing procedures. The application of this technique to MMH investigations allows identification of the lift characteristics that dominate the variability of task demands, hence aiding in the design and assessment of ergonomic solutions.

Effect of acupressure vs reflexology on pre-menstrual syndrome among adolescent girls--a pilot study.

PubMed

Padmavathi, P

2014-01-01

Premenstrual syndrome is the most common of gynaecologic complaints. It affects half of all female adolescents today and represents the leading cause of college/school absenteeism among that population. It was sought to assess the effectiveness of acupressure Vs reflexology on premenstrual syndrome among adolescents. Two-group pre-test and post-test true experimental design was adopted for the study. Forty adolescent girls from Government Girls Secondary School, Erode with pre- menstrual syndrome fulfilling the inclusion criteria were selected by simple random sampling. A pre-test was conducted by using premenstrual symptoms assessment scale. Immediately after pre-test acupressure Vs reflexology was given once a week for 6 weeks and again post-test was conducted to assess the effectiveness of treatment. Collected data was analysed by using descriptive and inferential statistics. In post-test, the mean score of the experimental group I sample was 97.3 (SD = 2.5) and the group II mean score was 70:8 (SD = 10.71) with paired 't' value of 19.2 and 31.9. This showed that the reflexology was more effective than acupressure in enhancing the practice of the sample regarding pre-menstrual syndrome. Statistically no significant association was found between the post-test scores of the sample with their demographic variables. The findings imply the need for educating adolescent girls on effective management of pre-menstrual syndrome.

Predictive capacity of a non-radioisotopic local lymph node assay using flow cytometry, LLNA:BrdU-FCM: Comparison of a cutoff approach and inferential statistics.

PubMed

Kim, Da-Eun; Yang, Hyeri; Jang, Won-Hee; Jung, Kyoung-Mi; Park, Miyoung; Choi, Jin Kyu; Jung, Mi-Sook; Jeon, Eun-Young; Heo, Yong; Yeo, Kyung-Wook; Jo, Ji-Hoon; Park, Jung Eun; Sohn, Soo Jung; Kim, Tae Sung; Ahn, Il Young; Jeong, Tae-Cheon; Lim, Kyung-Min; Bae, SeungJin

2016-01-01

In order for a novel test method to be applied for regulatory purposes, its reliability and relevance, i.e., reproducibility and predictive capacity, must be demonstrated. Here, we examine the predictive capacity of a novel non-radioisotopic local lymph node assay, LLNA:BrdU-FCM (5-bromo-2'-deoxyuridine-flow cytometry), with a cutoff approach and inferential statistics as a prediction model. 22 reference substances in OECD TG429 were tested with a concurrent positive control, hexylcinnamaldehyde 25%(PC), and the stimulation index (SI) representing the fold increase in lymph node cells over the vehicle control was obtained. The optimal cutoff SI (2.7≤cutoff <3.5), with respect to predictive capacity, was obtained by a receiver operating characteristic curve, which produced 90.9% accuracy for the 22 substances. To address the inter-test variability in responsiveness, SI values standardized with PC were employed to obtain the optimal percentage cutoff (42.6≤cutoff <57.3% of PC), which produced 86.4% accuracy. A test substance may be diagnosed as a sensitizer if a statistically significant increase in SI is elicited. The parametric one-sided t-test and non-parametric Wilcoxon rank-sum test produced 77.3% accuracy. Similarly, a test substance could be defined as a sensitizer if the SI means of the vehicle control, and of the low, middle, and high concentrations were statistically significantly different, which was tested using ANOVA or Kruskal-Wallis, with post hoc analysis, Dunnett, or DSCF (Dwass-Steel-Critchlow-Fligner), respectively, depending on the equal variance test, producing 81.8% accuracy. The absolute SI-based cutoff approach produced the best predictive capacity, however the discordant decisions between prediction models need to be examined further. Copyright © 2015 Elsevier Inc. All rights reserved.

Comparative analysis of a nontraditional general chemistry textbook and selected traditional textbooks used in Texas community colleges

NASA Astrophysics Data System (ADS)

Salvato, Steven Walter

The purpose of this study was to analyze questions within the chapters of a nontraditional general chemistry textbook and the four general chemistry textbooks most widely used by Texas community colleges in order to determine if the questions require higher- or lower-order thinking according to Bloom's taxonomy. The study employed quantitative methods. Bloom's taxonomy (Bloom, Engelhart, Furst, Hill, & Krathwohl, 1956) was utilized as the main instrument in the study. Additional tools were used to help classify the questions into the proper category of the taxonomy (McBeath, 1992; Metfessel, Michael, & Kirsner, 1969). The top four general chemistry textbooks used in Texas community colleges and Chemistry: A Project of the American Chemical Society (Bell et al., 2005) were analyzed during the fall semester of 2010 in order to categorize the questions within the chapters into one of the six levels of Bloom's taxonomy. Two coders were used to assess reliability. The data were analyzed using descriptive and inferential methods. The descriptive method involved calculation of the frequencies and percentages of coded questions from the books as belonging to the six categories of the taxonomy. Questions were dichotomized into higher- and lower-order thinking questions. The inferential methods involved chi-square tests of association to determine if there were statistically significant differences among the four traditional college general chemistry textbooks in the proportions of higher- and lower-order questions and if there were statistically significant differences between the nontraditional chemistry textbook and the four traditional general chemistry textbooks. Findings indicated statistically significant differences among the four textbooks frequently used in Texas community colleges in the number of higher- and lower-level questions. Statistically significant differences were also found among the four textbooks and the nontraditional textbook. After the analysis of the data, conclusions were drawn, implications for practice were delineated, and recommendations for future research were given.

Being a parent or grandparent with back pain, ankylosing spondylitis or rheumatoid arthritis: a descriptive postal survey.

PubMed

Grant, M I; Foster, N E; Wright, C C; Barlow, J H; Cullen, L A

2004-01-01

Research that explores being a parent or grandparent with musculoskeletal problems has been fairly limited to date. The aim of this study was to describe the experience of parenting in the context of back pain (BP), ankylosing spondylitis (AS) and rheumatoid arthritis (RA), with a particular focus on the extent and nature of childcare experiences and to compare these experiences across the three groups. In addition, the possible reasons for these reported experiences, the availability of advice and support and the development of strategies for coping were explored using a cross-sectional descriptive survey. A total of 448 participants was recruited from relevant charitable organizations and the National Health Service (280 with BP, 106 with AS and 62 with RA). A combination of opportunistic and random sampling was used. Quantitative data were analysed with appropriate descriptive and inferential statistics using Statistical Package for the Social Sciences (SPSS version 10). Qualitative data were analysed using content analysis. Results indicate that a high proportion of all groups experienced a wide range of difficulties with parenting (81% BP, 77% AS, 97% RA). The most prevalent problems were similar for all three groups: lifting baby/child from the floor or cot, encouraging children/grandchildren to help with domestic chores and keeping up (in terms of energy) with children/grandchildren. However, the RA group reported having greater difficulties than the other two groups. Very little advice was offered to participants with parenting difficulties which may indicate a gap in service provision. However, a wide range of strategies for coping were described by respondents. The study highlighted a need for healthcare professionals to develop a greater awareness of parenting issues and to provide opportunities for these issues to be addressed. Copyright (c) 2004 Whurr Publishers Ltd.

Research profile of physiotherapy undergraduates in Nigeria.

PubMed

Adeniyi, Ade F; Ekechukwu, Nelson E; Umar, Lawan; Ogwumike, Omoyemi O

2013-01-01

Physiotherapy training in Nigeria is almost 50 years old with no history of appraisal of research projects produced by the physiotherapy students. Physiotherapy students complete research projects in partial fulfilment of the requirements for graduation. An appraisal will reveal areas of strength and weakness in the research requirement for students, potentially leading to better research capacity and promoting evidence-based clinical practice among graduates. This study describes issues related to the study design, scope, statistical analysis and supervision of physiotherapy undergraduates in Nigerian universities. This retrospective study analysed 864 projects undertaken by Nigerian physiotherapy students between years 2000 and 2010. A maximum of 20 projects per academic year were randomly selected from each of the seven physiotherapy institutions in Nigeria. Data were obtained using a self-designed data retrieval form and analysed using descriptive and inferential statistics. Cross-sectional surveys constituted 47.6% of the research projects with mainly non-probability sampling (57.7%) and lack of objective sample size determination in 91.6% of the projects. Most projects (56.4%) did not report any ethical approval. The particular university attended (χ2 = 109.5, P = 0.0001), type of degree offered (χ2 = 47.24, P = 0.00001) and the academic qualification of supervisors (χ2 = 21.99, P = 0.001) were significantly related to the strength of the research design executed by students. Most research projects carried out by Nigerian physiotherapy students were cross-sectional, characterised by arbitrary sample sizes, and were conducted on human subjects but most without report of ethical approval. Efforts to improve research methodology, documentation and exploration of a wider range of research areas are needed to strengthen this educational experience for students.

Electronic Communication of Protected Health Information: Privacy, Security, and HIPAA Compliance.

PubMed

Drolet, Brian C; Marwaha, Jayson S; Hyatt, Brad; Blazar, Phillip E; Lifchez, Scott D

2017-06-01

Technology has enhanced modern health care delivery, particularly through accessibility to health information and ease of communication with tools like mobile device messaging (texting). However, text messaging has created new risks for breach of protected health information (PHI). In the current study, we sought to evaluate hand surgeons' knowledge and compliance with privacy and security standards for electronic communication by text message. A cross-sectional survey of the American Society for Surgery of the Hand membership was conducted in March and April 2016. Descriptive and inferential statistical analyses were performed of composite results as well as relevant subgroup analyses. A total of 409 responses were obtained (11% response rate). Although 63% of surgeons reported that they believe that text messaging does not meet Health Insurance Portability and Accountability Act of 1996 security standards, only 37% reported they do not use text messages to communicate PHI. Younger surgeons and respondents who believed that their texting was compliant were statistically significantly more like to report messaging of PHI (odds ratio, 1.59 and 1.22, respectively). A majority of hand surgeons in this study reported the use of text messaging to communicate PHI. Of note, neither the Health Insurance Portability and Accountability Act of 1996 statute nor US Department of Health and Human Services specifically prohibits this form of electronic communication. To be compliant, surgeons, practices, and institutions need to take reasonable security precautions to prevent breach of privacy with electronic communication. Communication of clinical information by text message is not prohibited under Health Insurance Portability and Accountability Act of 1996, but surgeons should use appropriate safeguards to prevent breach when using this form of communication. Copyright © 2017 American Society for Surgery of the Hand. Published by Elsevier Inc. All rights reserved.

Selecting the most appropriate inferential statistical test for your quantitative research study.

PubMed

Bettany-Saltikov, Josette; Whittaker, Victoria Jane

2014-06-01

To discuss the issues and processes relating to the selection of the most appropriate statistical test. A review of the basic research concepts together with a number of clinical scenarios is used to illustrate this. Quantitative nursing research generally features the use of empirical data which necessitates the selection of both descriptive and statistical tests. Different types of research questions can be answered by different types of research designs, which in turn need to be matched to a specific statistical test(s). Discursive paper. This paper discusses the issues relating to the selection of the most appropriate statistical test and makes some recommendations as to how these might be dealt with. When conducting empirical quantitative studies, a number of key issues need to be considered. Considerations for selecting the most appropriate statistical tests are discussed and flow charts provided to facilitate this process. When nursing clinicians and researchers conduct quantitative research studies, it is crucial that the most appropriate statistical test is selected to enable valid conclusions to be made. © 2013 John Wiley & Sons Ltd.

EFL Learners' Levels of Comprehension Across Text Structures: A Comparison of Literal and Inferential Comprehension of Descriptive and Enumerative Expository Texts.

PubMed

Saadatnia, Mahmood; Ketabi, Saeed; Tavakoli, Mansoor

2016-12-01

The purpose of this study was to investigate the relationship between text structure and two levels of reading comprehension, namely literal and inferential, in Iranian EFL learners. Studies have generally found that learners perform differently after they have read different text structures (Amiri et al. in Proc Soc Behav Sci 66:402-409, 2012). The text structures in focus were descriptive and enumerative expository texts. One hundred eighty upper-intermediate EFL learners were assigned four reading passages, two including descriptive and the other two enumerative text structure, followed by both literal and inferential multiple-choice items. A number of paired-samples t tests were run to provide answers to the research questions of this study. The results indicated that the participants meaningfully outperformed on the descriptive texts at both levels of literal and inferential comprehension. The findings also revealed that in both text structures of description and enumeration, literal comprehension significantly outweighed inferential comprehension. Implications were made for L2 materials developers, language teachers, and language testers regarding the consideration of text typical features in their practice.

The observability principle and beyond. Reply to comments on "Seeing mental states: An experimental strategy for measuring the observability of other minds" by Cristina Becchio et al.

NASA Astrophysics Data System (ADS)

Becchio, Cristina; Koul, Atesh; Ansuini, Caterina; Bertone, Cesare; Cavallo, Andrea

2018-03-01

Is it possible to directly perceive others' mental states? Mediating the debate between Direct Perception and Inferentialism proponents would require knowing "what counts as an inference and how to tell the difference between inferential and non-inferential processing" [1]. However, few theorists have even attempted to answer the question of what counts as inference. The consequence, as noted by Spaulding [1], is that "given that neither Inferentialists nor DSP [Direct Social Perception, Ed.] proponents specify what they mean by inference, it is hard to tell what exactly each side is affirming and denying. Thus, the debate between Inferentialism and DSP is at an impasse". Similar considerations apply to distinguishing between what is 'observable' versus 'unobservable' [2].

More reliable data for diarrhoeal intervention programmes: rethinking on knowledge, attitude and practice studies.

PubMed

Antia, B E; Omotara, B A; Rabasa, A I; Addy, E O; Tomfafi, O A A; Anaso, C C

2003-06-01

The aim of this study was to propose an alternative approach to traditional knowledge, attitude and practice (KAP) studies to enhance the quality of data on which educational health programmes are based. The methodology proposed and illustrated involved a triangulation of approaches derived from linguistics, cognitive science, and medical laboratory sciences. Three diarrhoeal health talks (educational messages) as given to mothers in three primary-care facilities in Borno State (Northeast Nigeria) were subjected to a linguistics analysis. Relationships were then sought between the ontology of knowledge in the health talks as revealed by the text analysis and two other kinds of data, namely: (a) mothers' answers to a set of ecologically-sensitive reasoning questions that test how much relevant inferential knowledge the health talks allow for and (b) results of microbiological and biochemical analyses of salt-sugar rehydration solutions prepared by mothers participating in the study. The findings of the study show a relationship between contents/formatting of the health talks and the extent to which relevant inferential competence was supported or demonstrated by mothers. It was also evident that the laboratory analyses could be related either directly to the health talks or indirectly in terms of what the health talks need to emphasize on. The conclusion shows how the methodology proposed addresses shortcomings of traditional KAP studies in respect of the gap between health knowledge and practice.

Easy-to-read texts for students with intellectual disability: linguistic factors affecting comprehension.

PubMed

Fajardo, Inmaculada; Ávila, Vicenta; Ferrer, Antonio; Tavares, Gema; Gómez, Marcos; Hernández, Ana

2014-05-01

The use of 'easy-to-read' materials for people with intellectual disabilities has become very widespread but their effectiveness has scarcely been evaluated. In this study, the framework provided by Kintsch's Construction-Integration Model (1988) is used to examine (i) the reading comprehension levels of different passages of the Spanish text that have been designed following easy-to-read guidelines and (ii) the relationships between reading comprehension (literal and inferential) and various linguistic features of these texts. Sixteen students with mild intellectual disability and low levels of reading skills were asked to read easy-to-read texts and then complete a reading comprehension test. The corpus of texts was composed of a set of forty-eight pieces of news selected from www.noticiasfacil.es, a Spanish digital newspaper that publishes daily journalistic texts following international guidelines for the design of easy-to-read documents (IFLA, Tronbacke B. (1997) Guidelines for Easy-to-read Materials. IFLA, The Hague). Participants correctly answered 80% of the comprehension questions, showing significantly higher scores for literal questions than for inferential questions. The analyses of the texts' linguistic features revealed that the number of coreferences was the variable that best predicted literal comprehension, but contrary to what the previous literature seemed to indicate, the relationship between the two variables was inverse. In the case of inferential comprehension, the number of sentences was a significant negative predictor; that is, the higher the sentence density, the lower the ability of these students to find relationships between them. The effects of the rest of linguistic variables, such as word frequency and word length, on comprehension were null. These results provide preliminary empirical support for the use of easy-to-read texts but bring into question the validity of some popular design guidelines (e.g. augmenting word frequency) to optimally match texts and reading levels of students with intellectual disability. Two factors are suggested as contributing to the effect of sentence density on inferential comprehension: (i) long texts present higher conceptual density, so there are more ideas to store, retrieve and integrate, which increases the demand on inferential reasoning and (ii) long texts are perceived as difficult, which affects reading motivation and, consequently, induces passive reading strategies. The need for further research to elucidate the origin of our main findings with a larger and more heterogeneous sample of students with intellectual disability is highlighted. © 2013 John Wiley & Sons Ltd.

Emotional contagion of dental fear to children: the fathers' mediating role in parental transfer of fear.

PubMed

Lara, America; Crego, Antonio; Romero-Maroto, Martin

2012-09-01

Dental fear is considered to be one of the most frequent problems in paediatric dentistry. According to literature, parents' levels of dental fear play a key role in the development of child's dental anxiety. HYPOTHESIS OR AIM: We have tried to identify the presence of emotional transmission of dental fear among family members and to analyse the different roles that mothers and fathers might play concerning the contagion of dental fear to children. We have hypothesized a key role of the father in the transfer of dental fear from mother to child. A questionnaire-based survey (Children's Fear Survey Schedule-Dental Subscale) has been distributed among 183 schoolchildren and their parents in Madrid (Spain). Inferential statistical analyses, i.e. correlation and hierarchical multiple regression, were carried out and possible mediating effects between variables have been tested. Our results support the hypothesis that family members' levels of dental fear are significantly correlated, and they also allow us to affirm that fathers' dental fear is a mediating variable in the relationship between mothers and children's fear scores. Together with the presence of emotional transmission of dental fear among family members, we identified the relevant role that fathers play as regards the transfer of dental fear from parents to children. © 2011 The Authors. International Journal of Paediatric Dentistry © 2011 BSPD, IAPD and Blackwell Publishing Ltd.

Activities and interim outcomes of a multi-site development project to promote cognitive support technology use and employment success among postsecondary students with traumatic brain injuries.

PubMed

Hendricks, Deborah J; Sampson, Elaine; Rumrill, Phillip; Leopold, Anne; Elias, Eileen; Jacobs, Karen; Nardone, Amanda; Scherer, Marcia; Stauffer, Callista

2015-01-01

This article describes the activities and interim outcomes of a multi-site development project called Project Career, designed to promote cognitive support technology (CST) use and employment success for college and university students with traumatic brain injuries (TBIs). To obtain early intervention results from participants in Project Career's first 18 months of operation. Fifty-six students with TBI have participated to date across three implementation sites in Massachusetts, Ohio, and West Virginia, with 25 of these participants being military veterans. Descriptive analyses provide information regarding the participants, the barriers they face due to their TBI in obtaining a post-secondary education, and the impact services provided by Project Career have had to date in ameliorating those difficulties. Inferential statistical analyses provide preliminary results regarding program effectiveness. Preliminary results indicate the program is encouraging students to use CST strategies in the form of iPads and cognitive enhancement applications (also known as 'apps'). Significant results indicate participants are more positive, independent, and social; participants have a more positive attitude toward technology after six months in the program; and participants reported significantly improved experiences with technology during their first six months in the program. Participating students are actively preparing for their careers after graduation through a wide range of intensive vocational supports provided by project staff members.

A parametric interpretation of Bayesian Nonparametric Inference from Gene Genealogies: Linking ecological, population genetics and evolutionary processes.

PubMed

Ponciano, José Miguel

2017-11-22

Using a nonparametric Bayesian approach Palacios and Minin (2013) dramatically improved the accuracy, precision of Bayesian inference of population size trajectories from gene genealogies. These authors proposed an extension of a Gaussian Process (GP) nonparametric inferential method for the intensity function of non-homogeneous Poisson processes. They found that not only the statistical properties of the estimators were improved with their method, but also, that key aspects of the demographic histories were recovered. The authors' work represents the first Bayesian nonparametric solution to this inferential problem because they specify a convenient prior belief without a particular functional form on the population trajectory. Their approach works so well and provides such a profound understanding of the biological process, that the question arises as to how truly "biology-free" their approach really is. Using well-known concepts of stochastic population dynamics, here I demonstrate that in fact, Palacios and Minin's GP model can be cast as a parametric population growth model with density dependence and environmental stochasticity. Making this link between population genetics and stochastic population dynamics modeling provides novel insights into eliciting biologically meaningful priors for the trajectory of the effective population size. The results presented here also bring novel understanding of GP as models for the evolution of a trait. Thus, the ecological principles foundation of Palacios and Minin (2013)'s prior adds to the conceptual and scientific value of these authors' inferential approach. I conclude this note by listing a series of insights brought about by this connection with Ecology. Copyright © 2017 The Author. Published by Elsevier Inc. All rights reserved.

Metrology in health: a pilot study

NASA Astrophysics Data System (ADS)

Ferreira, M.; Matos, A.

2015-02-01

The purpose of this paper is to identify and analyze some relevant issues which arise when the concept of metrological traceability is applied to health care facilities. Discussion is structured around the results that were obtained through a characterization and comparative description of the practices applied in 45 different Portuguese health entities. Following a qualitative exploratory approach, the information collected was the support for the initial research hypotheses and the development of the questionnaire survey. It was also applied a quantitative methodology that included a descriptive and inferential statistical analysis of the experimental data set.

Statistical models for causation: what inferential leverage do they provide?

PubMed

Freedman, David A

2006-12-01

Experiments offer more reliable evidence on causation than observational studies, which is not to gainsay the contribution to knowledge from observation. Experiments should be analyzed as experiments, not as observational studies. A simple comparison of rates might be just the right tool, with little value added by "sophisticated" models. This article discusses current models for causation, as applied to experimental and observational data. The intention-to-treat principle and the effect of treatment on the treated will also be discussed. Flaws in per-protocol and treatment-received estimates will be demonstrated.

Cost-Effectiveness Analysis: a proposal of new reporting standards in statistical analysis

PubMed Central

Bang, Heejung; Zhao, Hongwei

2014-01-01

Cost-effectiveness analysis (CEA) is a method for evaluating the outcomes and costs of competing strategies designed to improve health, and has been applied to a variety of different scientific fields. Yet, there are inherent complexities in cost estimation and CEA from statistical perspectives (e.g., skewness, bi-dimensionality, and censoring). The incremental cost-effectiveness ratio that represents the additional cost per one unit of outcome gained by a new strategy has served as the most widely accepted methodology in the CEA. In this article, we call for expanded perspectives and reporting standards reflecting a more comprehensive analysis that can elucidate different aspects of available data. Specifically, we propose that mean and median-based incremental cost-effectiveness ratios and average cost-effectiveness ratios be reported together, along with relevant summary and inferential statistics as complementary measures for informed decision making. PMID:24605979

A survey of work engagement and psychological capital levels.

PubMed

Bonner, Lynda

2016-08-11

To evaluate the relationship between work engagement and psychological capital (PsyCap) levels reported by registered nurses. PsyCap is a developable human resource. Research on PsyCap as an antecedent to work engagement in nurses is needed. A convenience sample of 137 registered nurses participated in this quantitative cross-sectional survey. Questionnaires measured self-reported levels of work engagement and psychological capital. Descriptive and inferential statistics were used for data analysis. There was a statistically significant correlation between work engagement and PsyCap scores (r=0.633, p<0.01). Nurses working at band 5 level reported statistically significantly lower PsyCap scores compared with nurses working at band 6 and 7 levels. Nurses reporting high levels of work engagement also reported high levels of PsyCap. Band 5 nurses might benefit most from interventions to increase their PsyCap. This study supports PsyCap as an antecedent to work engagement.

Use of Visual Cues by Adults With Traumatic Brain Injuries to Interpret Explicit and Inferential Information.

PubMed

Brown, Jessica A; Hux, Karen; Knollman-Porter, Kelly; Wallace, Sarah E

2016-01-01

Concomitant visual and cognitive impairments following traumatic brain injuries (TBIs) may be problematic when the visual modality serves as a primary source for receiving information. Further difficulties comprehending visual information may occur when interpretation requires processing inferential rather than explicit content. The purpose of this study was to compare the accuracy with which people with and without severe TBI interpreted information in contextually rich drawings. Fifteen adults with and 15 adults without severe TBI. Repeated-measures between-groups design. Participants were asked to match images to sentences that either conveyed explicit (ie, main action or background) or inferential (ie, physical or mental inference) information. The researchers compared accuracy between participant groups and among stimulus conditions. Participants with TBI demonstrated significantly poorer accuracy than participants without TBI extracting information from images. In addition, participants with TBI demonstrated significantly higher response accuracy when interpreting explicit rather than inferential information; however, no significant difference emerged between sentences referencing main action versus background information or sentences providing physical versus mental inference information for this participant group. Difficulties gaining information from visual environmental cues may arise for people with TBI given their difficulties interpreting inferential content presented through the visual modality.

Probability Theory Plus Noise: Descriptive Estimation and Inferential Judgment.

PubMed

Costello, Fintan; Watts, Paul

2018-01-01

We describe a computational model of two central aspects of people's probabilistic reasoning: descriptive probability estimation and inferential probability judgment. This model assumes that people's reasoning follows standard frequentist probability theory, but it is subject to random noise. This random noise has a regressive effect in descriptive probability estimation, moving probability estimates away from normative probabilities and toward the center of the probability scale. This random noise has an anti-regressive effect in inferential judgement, however. These regressive and anti-regressive effects explain various reliable and systematic biases seen in people's descriptive probability estimation and inferential probability judgment. This model predicts that these contrary effects will tend to cancel out in tasks that involve both descriptive estimation and inferential judgement, leading to unbiased responses in those tasks. We test this model by applying it to one such task, described by Gallistel et al. ). Participants' median responses in this task were unbiased, agreeing with normative probability theory over the full range of responses. Our model captures the pattern of unbiased responses in this task, while simultaneously explaining systematic biases away from normatively correct probabilities seen in other tasks. Copyright © 2018 Cognitive Science Society, Inc.

Fusion or confusion in obsessive compulsive disorder.

PubMed

O'Connor, Kieron; Aardema, Frederick

2003-08-01

Inferential confusion occurs when a person mistakes an imagined possibility for a real probability and might account for some types of thought-action and other fusions reported in obsessive-compulsive disorder. Inferential confusion could account for the ego-dystonic nature of obsessions and their recurrent nature, since the person acts "as if" an imagined aversive inference is probable and tries unsuccessfully to modify this imaginary probability in reality. The clinical implications of the inferential confusion model focus primarily on the role of the imagination in obsessive-compulsive disorder rather than on cognitive beliefs.

An inferential study of the phenotype for the chromosome 15q24 microdeletion syndrome: a bootstrap analysis

PubMed Central

Ramírez-Prado, Dolores; Cortés, Ernesto; Aguilar-Segura, María Soledad; Gil-Guillén, Vicente Francisco

2016-01-01

In January 2012, a review of the cases of chromosome 15q24 microdeletion syndrome was published. However, this study did not include inferential statistics. The aims of the present study were to update the literature search and calculate confidence intervals for the prevalence of each phenotype using bootstrap methodology. Published case reports of patients with the syndrome that included detailed information about breakpoints and phenotype were sought and 36 were included. Deletions in megabase (Mb) pairs were determined to calculate the size of the interstitial deletion of the phenotypes studied in 2012. To determine confidence intervals for the prevalence of the phenotype and the interstitial loss, we used bootstrap methodology. Using the bootstrap percentiles method, we found wide variability in the prevalence of the different phenotypes (3–100%). The mean interstitial deletion size was 2.72 Mb (95% CI [2.35–3.10 Mb]). In comparison with our work, which expanded the literature search by 45 months, there were differences in the prevalence of 17% of the phenotypes, indicating that more studies are needed to analyze this rare disease. PMID:26925314

Bayesian model selection techniques as decision support for shaping a statistical analysis plan of a clinical trial: An example from a vertigo phase III study with longitudinal count data as primary endpoint

PubMed Central

2012-01-01

Background A statistical analysis plan (SAP) is a critical link between how a clinical trial is conducted and the clinical study report. To secure objective study results, regulatory bodies expect that the SAP will meet requirements in pre-specifying inferential analyses and other important statistical techniques. To write a good SAP for model-based sensitivity and ancillary analyses involves non-trivial decisions on and justification of many aspects of the chosen setting. In particular, trials with longitudinal count data as primary endpoints pose challenges for model choice and model validation. In the random effects setting, frequentist strategies for model assessment and model diagnosis are complex and not easily implemented and have several limitations. Therefore, it is of interest to explore Bayesian alternatives which provide the needed decision support to finalize a SAP. Methods We focus on generalized linear mixed models (GLMMs) for the analysis of longitudinal count data. A series of distributions with over- and under-dispersion is considered. Additionally, the structure of the variance components is modified. We perform a simulation study to investigate the discriminatory power of Bayesian tools for model criticism in different scenarios derived from the model setting. We apply the findings to the data from an open clinical trial on vertigo attacks. These data are seen as pilot data for an ongoing phase III trial. To fit GLMMs we use a novel Bayesian computational approach based on integrated nested Laplace approximations (INLAs). The INLA methodology enables the direct computation of leave-one-out predictive distributions. These distributions are crucial for Bayesian model assessment. We evaluate competing GLMMs for longitudinal count data according to the deviance information criterion (DIC) or probability integral transform (PIT), and by using proper scoring rules (e.g. the logarithmic score). Results The instruments under study provide excellent tools for preparing decisions within the SAP in a transparent way when structuring the primary analysis, sensitivity or ancillary analyses, and specific analyses for secondary endpoints. The mean logarithmic score and DIC discriminate well between different model scenarios. It becomes obvious that the naive choice of a conventional random effects Poisson model is often inappropriate for real-life count data. The findings are used to specify an appropriate mixed model employed in the sensitivity analyses of an ongoing phase III trial. Conclusions The proposed Bayesian methods are not only appealing for inference but notably provide a sophisticated insight into different aspects of model performance, such as forecast verification or calibration checks, and can be applied within the model selection process. The mean of the logarithmic score is a robust tool for model ranking and is not sensitive to sample size. Therefore, these Bayesian model selection techniques offer helpful decision support for shaping sensitivity and ancillary analyses in a statistical analysis plan of a clinical trial with longitudinal count data as the primary endpoint. PMID:22962944

Bayesian model selection techniques as decision support for shaping a statistical analysis plan of a clinical trial: an example from a vertigo phase III study with longitudinal count data as primary endpoint.

PubMed

Adrion, Christine; Mansmann, Ulrich

2012-09-10

A statistical analysis plan (SAP) is a critical link between how a clinical trial is conducted and the clinical study report. To secure objective study results, regulatory bodies expect that the SAP will meet requirements in pre-specifying inferential analyses and other important statistical techniques. To write a good SAP for model-based sensitivity and ancillary analyses involves non-trivial decisions on and justification of many aspects of the chosen setting. In particular, trials with longitudinal count data as primary endpoints pose challenges for model choice and model validation. In the random effects setting, frequentist strategies for model assessment and model diagnosis are complex and not easily implemented and have several limitations. Therefore, it is of interest to explore Bayesian alternatives which provide the needed decision support to finalize a SAP. We focus on generalized linear mixed models (GLMMs) for the analysis of longitudinal count data. A series of distributions with over- and under-dispersion is considered. Additionally, the structure of the variance components is modified. We perform a simulation study to investigate the discriminatory power of Bayesian tools for model criticism in different scenarios derived from the model setting. We apply the findings to the data from an open clinical trial on vertigo attacks. These data are seen as pilot data for an ongoing phase III trial. To fit GLMMs we use a novel Bayesian computational approach based on integrated nested Laplace approximations (INLAs). The INLA methodology enables the direct computation of leave-one-out predictive distributions. These distributions are crucial for Bayesian model assessment. We evaluate competing GLMMs for longitudinal count data according to the deviance information criterion (DIC) or probability integral transform (PIT), and by using proper scoring rules (e.g. the logarithmic score). The instruments under study provide excellent tools for preparing decisions within the SAP in a transparent way when structuring the primary analysis, sensitivity or ancillary analyses, and specific analyses for secondary endpoints. The mean logarithmic score and DIC discriminate well between different model scenarios. It becomes obvious that the naive choice of a conventional random effects Poisson model is often inappropriate for real-life count data. The findings are used to specify an appropriate mixed model employed in the sensitivity analyses of an ongoing phase III trial. The proposed Bayesian methods are not only appealing for inference but notably provide a sophisticated insight into different aspects of model performance, such as forecast verification or calibration checks, and can be applied within the model selection process. The mean of the logarithmic score is a robust tool for model ranking and is not sensitive to sample size. Therefore, these Bayesian model selection techniques offer helpful decision support for shaping sensitivity and ancillary analyses in a statistical analysis plan of a clinical trial with longitudinal count data as the primary endpoint.

On Inferentialism

ERIC Educational Resources Information Center

Radford, Luis

2017-01-01

This article is a critical commentary on inferentialism in mathematics education. In the first part, I comment on some of the major shortcomings that inferentialists see in the theoretical underpinnings of representationalist, empiricist, and socioconstructivist mathematics education theories. I discuss in particular the criticism that…

A Survey of Plant Iron Content-A Semi-Systematic Review.

PubMed

Ancuceanu, Robert; Dinu, Mihaela; Hovaneţ, Marilena Viorica; Anghel, Adriana Iuliana; Popescu, Carmen Violeta; Negreş, Simona

2015-12-10

Iron is an essential mineral nutrient for all living organisms, involved in a plurality of biological processes. Its deficit is the cause of the most common form of anemia in the world: iron deficiency anemia (IDA). This paper reviews iron content in various parts of 1228 plant species and its absorption from herbal products, based on data collected from the literature in a semi-systematic manner. Five hundred genera randomly selected from the Angiosperms group, 215 genera from the Pteridophytes groups and all 95 Gymnosperm genera as listed in the Plant List version 1.1 were used as keywords together with the word "iron" in computerized searches. Iron data about additional genera returned by those searches were extracted and included in the analysis. In total, iron content values for a number of 1228 species, 5 subspecies, and 5 varieties were collected. Descriptive and inferential statistics were used to compare iron contents in various plant parts (whole plant, roots, stems, shoots, leaves, aerial parts, flowers, fruits, seeds, wood, bark, other parts) and exploratory analyses by taxonomic groups and life-forms were carried out. The absorption and potential relevance of herbal iron for iron supplementation are discussed.

A Survey of Plant Iron Content—A Semi-Systematic Review

PubMed Central

Ancuceanu, Robert; Dinu, Mihaela; Hovaneţ, Marilena Viorica; Anghel, Adriana Iuliana; Popescu, Carmen Violeta; Negreş, Simona

2015-01-01

Iron is an essential mineral nutrient for all living organisms, involved in a plurality of biological processes. Its deficit is the cause of the most common form of anemia in the world: iron deficiency anemia (IDA). This paper reviews iron content in various parts of 1228 plant species and its absorption from herbal products, based on data collected from the literature in a semi-systematic manner. Five hundred genera randomly selected from the Angiosperms group, 215 genera from the Pteridophytes groups and all 95 Gymnosperm genera as listed in the Plant List version 1.1 were used as keywords together with the word “iron” in computerized searches. Iron data about additional genera returned by those searches were extracted and included in the analysis. In total, iron content values for a number of 1228 species, 5 subspecies, and 5 varieties were collected. Descriptive and inferential statistics were used to compare iron contents in various plant parts (whole plant, roots, stems, shoots, leaves, aerial parts, flowers, fruits, seeds, wood, bark, other parts) and exploratory analyses by taxonomic groups and life-forms were carried out. The absorption and potential relevance of herbal iron for iron supplementation are discussed. PMID:26690470

Ecological changes and local knowledge in a giant honey bee (Apis dorsata F.) hunting community in Palawan, Philippines.

PubMed

Matias, Denise Margaret S; Borgemeister, Christian; von Wehrden, Henrik

2018-02-24

One of the traditional livelihood practices of indigenous Tagbanuas in Palawan, Philippines is wild honey hunting and gathering from the giant honey bee (Apis dorsata F.). In order to analyze the linkages of the social and ecological systems involved in this indigenous practice, we conducted spatial, quantitative, and qualitative analyses on field data gathered through mapping of global positioning system coordinates, community surveys, and key informant interviews. We found that only 24% of the 251 local community members surveyed could correctly identify the giant honey bee. Inferential statistics showed that a lower level of formal education strongly correlates with correct identification of the giant honey bee. Spatial analysis revealed that mean NDVI of sampled nesting tree areas has dropped from 0.61 in the year 1988 to 0.41 in 2015. However, those who correctly identified the giant honey bee lived in areas with high vegetation cover. Decreasing vegetation cover limits the presence of wild honey bees and this may also be limiting direct experience of the community with wild honey bees. However, with causality yet to be established, we recommend conducting further studies to concretely model feedbacks between ecological changes and local knowledge.

Factors that guide nurse managers regarding the staffing of agency nurses in intensive care units at private hospitals in Pretoria.

PubMed

Jooste, Karien; Prinsloo, Carine

2013-03-13

Staffing needs affect the nursing department's budget, staff productivity, the quality of care provided to patients and even the retention of nurses. It is unclear how the role players (the nursing agency manager, the nurse manager and the agency nurse) perceive the staffing of agency nurses in intensive care units (ICUs). The purpose of this study was to explore and describe the factors that guide nurse managers regarding the staffing of agency nurses in ICUs at private hospitals in Pretoria. A quantitative exploratory and descriptive design was used. A survey by means of a structured questionnaire was carried out. Probability sampling was implemented to obtain a study sample (n=124). One similar self-administered 5-point scale instrument was completed by the participants. Data was analysed by means of descriptive and inferential statistics. The principles of validity and reliability were adhered to and ethical considerations were also taken into account. The results indicated limitations in the determining of posts, recruitment and advertising, as well as the selection and appointment of agency nurses in ICUs at private hospitals in Pretoria. Recommendations on staffing are made to nurse managers in ICUs.

Single Parent Family Structure as a Predictor of Alcohol Use among Secondary School Students: Evidence from Jamaica

PubMed

Oshi, Sarah N; Abel, Wendel D; Agu, Chinwendu F; Omeje, Joachim C; Smith, Patrice Whitehorne; Ukwaja, Kingsley N; Ricketts Roomes, Tana; Meka, Ijeoma A; Weaver, Steve; Rae, Tania; Oshi, Daniel C

2018-04-23

The aim of this study was to examine the potential relationship between Jamaican secondary students’ alcohol drinking habits and their family structure. Methods: Data collected from a nationally representative survey of 3,365 students were analysed. Descriptive and inferential statistics were performed. Results: Out of the 3,365 students, 1,044 (31.0%) were from single-parent families. Single-parent families, married-parent families and common law-parent families were significantly associated with lifetime use of alcohol (AOR= 1.72, 95% CI= 1.06 - 2.79; AOR= 1.73, 95% CI= 1.07- 2.81, AOR= 1.94, 95%CI= 1.17- 3.21 respectively). However, family structure was not significantly associated with past year and past month alcohol use. Students whose parents “sometimes” knew their whereabouts were significantly less likely to use alcohol in their lifetime compared to students whose parents “Always” knew where the students were. Conclusion: Family structure is an independent predictor of alcohol use among high school students in Jamaica. Being from single-parent families, married-parent and common- law parent families were significantly associated with increased likelihood for lifetime alcohol use. Creative Commons Attribution License

Staff nurse perceptions of nurse manager leadership styles and outcomes.

PubMed

Casida, Jesus; Parker, Jessica

2011-05-01

To explore the correlations of leadership styles of nurse managers (NMs) and outcomes.   Little is known about the linkages among leadership styles [transformational (TFL), transactional (TRL)] of NMs and outcomes [a leader's extra effort (LEE), leadership satisfaction (LS) and effectiveness (LE)] using the full-range leadership theory. Methods  An exploratory correlational design was employed using data from a 2007 study in which staff nurses (n = 278) from four hospitals in the Northeastern US were asked to rate the leadership styles of NMs (n = 37) and outcomes using the Multifactor Leadership Questionnaire Form 5x-Short. Data were analysed using descriptive and inferential statistical methods. TFL leadership has strong correlations to LEE, LS and LE, and was a predictor for leadership outcomes. Conversely, TRL leadership has week correlations to LEE, LS and LE and did not predict leadership outcomes. NMs who frequently display TFL leadership styles will probably achieve goals in a satisfying manner, warranting further research. TFL leadership training should be a basic competency requirement of NMs. Placing successful and effective TFL leaders in nursing units are the professional and moral obligations of nurse executives. © 2011 The Authors. Journal compilation © 2011 Blackwell Publishing Ltd.

A quantitative estimate of schema abnormality in socially anxious and non-anxious individuals.

PubMed

Wenzel, Amy; Brendle, Jennifer R; Kerr, Patrick L; Purath, Donna; Ferraro, F Richard

2007-01-01

Although cognitive theories of anxiety suggest that anxious individuals are characterized by abnormal threat-relevant schemas, few empirical studies have estimated the nature of these cognitive structures using quantitative methods that lend themselves to inferential statistical analysis. In the present study, socially anxious (n = 55) and non-anxious (n = 62) participants completed 3 Q-Sort tasks to assess their knowledge of events that commonly occur in social or evaluative scenarios. Participants either sorted events according to how commonly they personally believe the events occur (i.e. "self" condition), or to how commonly they estimate that most people believe they occur (i.e. "other" condition). Participants' individual Q-Sorts were correlated with mean sorts obtained from a normative sample to obtain an estimate of schema abnormality, with lower correlations representing greater levels of abnormality. Relative to non-anxious participants, socially anxious participants' sorts were less strongly associated with sorts of the normative sample, particularly in the "self" condition, although secondary analyses suggest that some significant results might be explained, in part, by depression and experience with the scenarios. These results provide empirical support for the theoretical notion that threat-relevant self-schemas of anxious individuals are characterized by some degree of abnormality.

Examining the progression and consistency of thermal concepts: a cross-age study

NASA Astrophysics Data System (ADS)

Adadan, Emine; Yavuzkaya, Merve Nur

2018-03-01

This cross-sectional study examined how the progression and consistency of students' understanding of thermal concepts in everyday contexts changes across the grade levels. A total of 656 Turkish students from Grade 8 (age 13-14), Grade 10 (age 15-16), and the first year of college (age 19-20) participated in the study. The data were analysed using statistical procedures (descriptive and inferential). Findings indicated a substantial progression in the students' scientific understanding of thermal concepts across grade levels. In addition, the students' alternative conceptions about thermal concepts generally decreased in frequency across grade levels, but certain alternative conceptions were observed in every grade level to a similar extent. Even though the number of students who consistently used scientific ideas increased across grade levels, the number of students who consistently used non-scientific ideas decreased across grade levels. However, the number of students who used scientific and non-scientific ideas inconsistently generally increased as they progressed in the science curriculum. These findings can be associated with either fragmentation or alternative conceptions that result from the gradual enrichment processes students experience when they try to integrate scientific concepts into their conceptual frameworks.

The influence of explicit versus implicit instructional approaches during a technology-based curriculum on students' understanding of nature of science (NOS)

NASA Astrophysics Data System (ADS)

Al-Saidi, Ahmed Mohammad

The purpose of this study was to examine the effect of an explicit versus an implicit instructional approach during technology-based curriculum on students' understanding of the nature of science (NOS) within an introductory biology course. The study emphasized the inferential and tentative nature of science. The intervention or explicit group was involved in inquiry activities followed by discussions that were directly geared towards the target aspects of NOS. The implicit group was engaged in the same activities but received instruction devoid of direct reference to the NOS aspects. Students in both groups spent identical amount of time on task. Selected items of the Views of Nature of Science Questionnaire (VNOS) together with semi-structured interviews were used to evaluate students' NOS conceptions before and at the end of the intervention, which lasted two weeks. A quantitative analysis using chi-square of students' pre-intervention NOS views as provided by the VNOS questionnaires revealed that there was not a statistically significant difference between implicit and explicit groups in both targeted NOS aspects, with (p = 0.18) and (p = 0.34) for inferential and tentative NOS, respectively. However the same analysis indicated statistical significance difference for post-intervention between implicit and explicit groups, yielding (p < 0.02) and (p < 0.002) for both inferential and tentative NOS, respectively. A qualitative analysis of students' pre and post-intervention views of the target aspects of NOS as well as semi-structured interviews for both groups was also conducted. Before intervention, the number of informed NOS responses in both groups was not considerably different. However, analysis of post-intervention NOS views indicated that more students in the explicit group demonstrated informed views of the NOS aspects than in the implicit group. Therefore, the analysis of the data indicated that, in this particular study, engaging students in inquiry-based activities followed by explicit discussion that is geared toward NOS aspects was more effective than merely involving them in implicit, inquiry-based instruction. The imperative finding of the present study provides evidence that teaching the NOS could be achieved through short-intensive discussion and does not necessarily require separate and independent courses.

Bias in the Counseling Process: How to Recognize and Avoid It.

ERIC Educational Resources Information Center

Morrow, Kelly A.; Deidan, Cecilia T.

1992-01-01

Notes that counselors' vulnerability to inferential bias during counseling process may result in misdiagnosis and improper interventions. Discusses these inferential biases: availability and representativeness heuristics; fundamental attribution error; anchoring, prior knowledge, and labeling; confirmatory hypothesis testing; and reconstructive…

Beyond the Story Map: Inferential Comprehension via Character Perspective

ERIC Educational Resources Information Center

McTigue, Erin; Douglass, April; Wright, Katherine L.; Hodges, Tracey S.; Franks, Amanda D.

2015-01-01

Inferential comprehension requires both emotional intelligence and cognitive skills, however instructional comprehension strategies typically underemphasize the emotional contribution. This article documents an intervention used by diverse third grade students which centers on teaching story comprehension through character perspective-taking…

Gas energy meter for inferential determination of thermophysical properties of a gas mixture at multiple states of the gas

DOEpatents

Morrow, Thomas B [San Antonio, TX; Kelner, Eric [San Antonio, TX; Owen, Thomas E [Helotes, TX

2008-07-08

A gas energy meter that acquires the data and performs the processing for an inferential determination of one or more gas properties, such as heating value, molecular weight, or density. The meter has a sensor module that acquires temperature, pressure, CO2, and speed of sound data. Data is acquired at two different states of the gas, which eliminates the need to determine the concentration of nitrogen in the gas. A processing module receives this data and uses it to perform a "two-state" inferential algorithm.

Effects of Storytelling-Based Education in the Prevention of Drug Abuse among Adolescents in Iran Based on a Readiness to Addiction Index

PubMed Central

Moghadam, Mahdieh Poodineh; Sari, Mahdieh; Balouchi, Abbas; Moghadam, Khadijeh

2016-01-01

Introduction One of the most effective strategies in the prevention of addiction is increasing awareness among young people, towards the tendency for taking drugs their physical, mental and social side effects. Storytelling is effective for increasing characteristics of happiness and resilience. This study uses storytelling, a common and popular method to increase awareness among adolescents. Aim To examine the effect of storytelling-based education on the prevention of drug abuse, based on a readiness to addiction index. Materials and Methods This quasi-experimental study was conducted on 136 high school students (grade one), selected by a cluster sampling procedure from May 2014 to February 2015 in Zabol, Iran. The instrument for gathering data was a readiness to addiction questionnaire. This questionnaire included 41 items for which the scoring of each item followed the Likerts format. The data gathered was analysed using SPSS version 21 with descriptive statistics and inferential statistics. Results The results revealed that the mean of the readiness to addiction index in the case group fell from 75.66±19.99 to 69.57±21.83 (paired t-test; p =0.02); in the control group the same index changed from 103.01±21.88 to 93.98±27.70 (paired t-test, p = 0.775). That is, the index decreased for both groups, but the reduction was statistically significant only for the case group (p =0.02). Conclusion This suggests that the narrative method is effective in reducing adolescents readiness to addiction. Storytelling is an effective way to raise awareness among young people about addiction and its detrimental impacts on health. Therefore, such a technique can be taken into consideration in teaching principles of prevention. PMID:28050403

Effects of Storytelling-Based Education in the Prevention of Drug Abuse among Adolescents in Iran Based on a Readiness to Addiction Index.

PubMed

Moghadam, Mahdieh Poodineh; Sari, Mahdieh; Balouchi, Abbas; Madarshahian, Farah; Moghadam, Khadijeh

2016-11-01

One of the most effective strategies in the prevention of addiction is increasing awareness among young people, towards the tendency for taking drugs their physical, mental and social side effects. Storytelling is effective for increasing characteristics of happiness and resilience. This study uses storytelling, a common and popular method to increase awareness among adolescents. To examine the effect of storytelling-based education on the prevention of drug abuse, based on a readiness to addiction index. This quasi-experimental study was conducted on 136 high school students (grade one), selected by a cluster sampling procedure from May 2014 to February 2015 in Zabol, Iran. The instrument for gathering data was a readiness to addiction questionnaire. This questionnaire included 41 items for which the scoring of each item followed the Likerts format. The data gathered was analysed using SPSS version 21 with descriptive statistics and inferential statistics. The results revealed that the mean of the readiness to addiction index in the case group fell from 75.66±19.99 to 69.57±21.83 (paired t-test; p =0.02); in the control group the same index changed from 103.01±21.88 to 93.98±27.70 (paired t-test, p = 0.775). That is, the index decreased for both groups, but the reduction was statistically significant only for the case group (p =0.02). This suggests that the narrative method is effective in reducing adolescents readiness to addiction. Storytelling is an effective way to raise awareness among young people about addiction and its detrimental impacts on health. Therefore, such a technique can be taken into consideration in teaching principles of prevention.

Nurses' readiness for evidence-based practice at Finnish university hospitals: a national survey.

PubMed

Saunders, Hannele; Stevens, Kathleen R; Vehviläinen-Julkunen, Katri

2016-08-01

The aim of this study was to determine nurses' readiness for evidence-based practice at Finnish university hospitals. Although systematic implementation of evidence-based practice is essential to effectively improving patient outcomes and value of care, nurses do not consistently use evidence in practice. Uptake is hampered by lack of nurses' individual and organizational readiness for evidence-based practice. Although nurses' evidence-based practice competencies have been widely studied in countries leading the evidence-based practice movement, less is known about nurses' readiness for evidence-based practice in the non-English-speaking world. A cross-sectional descriptive survey design. The study was conducted in November-December 2014 in every university hospital in Finland with a convenience sample (n = 943) of practicing nurses. The electronic survey data were collected using the Stevens' Evidence-Based Practice Readiness Inventory, which was translated into Finnish according to standardized guidelines for translation of research instruments. The data were analysed using descriptive and inferential statistics. Nurses reported low to moderate levels of self-efficacy and low levels of evidence-based practice knowledge. A statistically significant, direct correlation was found between nurses' self-efficacy in employing evidence-based practice and their actual evidence-based practice knowledge level. Several statistically significant differences were found between nurses' socio-demographic variables and nurses' self-efficacy in employing evidence-based practice, and actual and perceived evidence-based practice knowledge. Finnish nurses at university hospitals are not ready for evidence-based practice. Although nurses are familiar with the concept of evidence-based practice, they lack the evidence-based practice knowledge and self-efficacy in employing evidence-based practice required for integrating best evidence into clinical care delivery. © 2016 John Wiley & Sons Ltd.

Factors influencing initiation and duration of breast feeding in Ireland.

PubMed

Leahy-Warren, Patricia; Mulcahy, Helen; Phelan, Agnes; Corcoran, Paul

2014-03-01

The aim of this research was to identify factors associated with mothers breast feeding and to identify, for those who breast fed, factors associated with breast feeding for as long as planned. breast feeding rates in Ireland are amongst the lowest in Europe. Research evidence indicates that in order for mothers to be successful at breast feeding, multiplicities of supports are necessary for both initiation and duration. The nature of these supports in tandem with other influencing factors requires analysis from an Irish perspective. cross-sectional study involving public health nurses and mothers in Ireland. This paper presents the results of the mothers' evaluation. mothers (n=1715) with children less than three years were offered a choice of completing the self-report questionnaires online or by mail. Data were analysed and reported using descriptive and inferential statistics. four in every five participants breast fed their infant and two thirds of them breast fed as long as planned. The multivariate logistic regression analysis identified that third level education, being a first time mother or previously having breast fed, participating online, having more than two public health nurse visits, and having a positive infant feeding attitude were independently and statistically significantly associated with breast feeding. Among mothers who breast fed, being aged at least 35 years, participating online, having a positive infant feeding attitude and high breast feeding self-efficacy were independently and statistically significantly associated with breast feeding for as long as planned. findings from this study reinforce health inequalities therefore there needs to be a renewed commitment to reducing health inequalities in relation to breast feeding. this study has identified factors associated with initiation and duration of breast feeding that are potentially modifiable through public health interventions. Copyright © 2013 Elsevier Ltd. All rights reserved.

Statistics 101 for Radiologists.

PubMed

Anvari, Arash; Halpern, Elkan F; Samir, Anthony E

2015-10-01

Diagnostic tests have wide clinical applications, including screening, diagnosis, measuring treatment effect, and determining prognosis. Interpreting diagnostic test results requires an understanding of key statistical concepts used to evaluate test efficacy. This review explains descriptive statistics and discusses probability, including mutually exclusive and independent events and conditional probability. In the inferential statistics section, a statistical perspective on study design is provided, together with an explanation of how to select appropriate statistical tests. Key concepts in recruiting study samples are discussed, including representativeness and random sampling. Variable types are defined, including predictor, outcome, and covariate variables, and the relationship of these variables to one another. In the hypothesis testing section, we explain how to determine if observed differences between groups are likely to be due to chance. We explain type I and II errors, statistical significance, and study power, followed by an explanation of effect sizes and how confidence intervals can be used to generalize observed effect sizes to the larger population. Statistical tests are explained in four categories: t tests and analysis of variance, proportion analysis tests, nonparametric tests, and regression techniques. We discuss sensitivity, specificity, accuracy, receiver operating characteristic analysis, and likelihood ratios. Measures of reliability and agreement, including κ statistics, intraclass correlation coefficients, and Bland-Altman graphs and analysis, are introduced. © RSNA, 2015.

Interpreting “statistical hypothesis testing” results in clinical research

PubMed Central

Sarmukaddam, Sanjeev B.

2012-01-01

Difference between “Clinical Significance and Statistical Significance” should be kept in mind while interpreting “statistical hypothesis testing” results in clinical research. This fact is already known to many but again pointed out here as philosophy of “statistical hypothesis testing” is sometimes unnecessarily criticized mainly due to failure in considering such distinction. Randomized controlled trials are also wrongly criticized similarly. Some scientific method may not be applicable in some peculiar/particular situation does not mean that the method is useless. Also remember that “statistical hypothesis testing” is not for decision making and the field of “decision analysis” is very much an integral part of science of statistics. It is not correct to say that “confidence intervals have nothing to do with confidence” unless one understands meaning of the word “confidence” as used in context of confidence interval. Interpretation of the results of every study should always consider all possible alternative explanations like chance, bias, and confounding. Statistical tests in inferential statistics are, in general, designed to answer the question “How likely is the difference found in random sample(s) is due to chance” and therefore limitation of relying only on statistical significance in making clinical decisions should be avoided. PMID:22707861

An Application of Interactive Computer Graphics to the Study of Inferential Statistics and the General Linear Model

DTIC Science & Technology

1991-09-01

matrix, the Regression Sum of Squares (SSR) and Error Sum of Squares (SSE) are also displayed as a percentage of the Total Sum of Squares ( SSTO ...vector when the student compares the SSR to the SSE. In addition to the plot, the actual values of SSR, SSE, and SSTO are also provided. Figure 3 gives the...Es ainSpace = E 3 Error- Eor Space =n t! L . Pro~cio q Yonto Pro~rct on of Y onto the simaton, pac ror Space SSR SSEL0.20 IV = 14,1 +IErrorI 2 SSTO

An improved portmanteau test for autocorrelated errors in interrupted time-series regression models.

PubMed

Huitema, Bradley E; McKean, Joseph W

2007-08-01

A new portmanteau test for autocorrelation among the errors of interrupted time-series regression models is proposed. Simulation results demonstrate that the inferential properties of the proposed Q(H-M) test statistic are considerably more satisfactory than those of the well known Ljung-Box test and moderately better than those of the Box-Pierce test. These conclusions generally hold for a wide variety of autoregressive (AR), moving averages (MA), and ARMA error processes that are associated with time-series regression models of the form described in Huitema and McKean (2000a, 2000b).

A Statistical Approach to Provide Individualized Privacy for Surveys

PubMed Central

Esponda, Fernando; Huerta, Kael; Guerrero, Victor M.

2016-01-01

In this paper we propose an instrument for collecting sensitive data that allows for each participant to customize the amount of information that she is comfortable revealing. Current methods adopt a uniform approach where all subjects are afforded the same privacy guarantees; however, privacy is a highly subjective property with intermediate points between total disclosure and non-disclosure: each respondent has a different criterion regarding the sensitivity of a particular topic. The method we propose empowers respondents in this respect while still allowing for the discovery of interesting findings through the application of well-known inferential procedures. PMID:26824758

Teaching calculus using module based on cooperative learning strategy

NASA Astrophysics Data System (ADS)

Arbin, Norazman; Ghani, Sazelli Abdul; Hamzah, Firdaus Mohamad

2014-06-01

The purpose of the research is to evaluate the effectiveness of a module which utilizes the cooperative learning for teaching Calculus for limit, derivative and integral. The sample consists of 50 semester 1 students from the Science Programme (AT 16) Sultan Idris Education University. A set of questions of related topics (pre and post) has been used as an instrument to collect data. The data is analyzed using inferential statistics involving the paired sample t-test and the independent t-test. The result shows that students have positive inclination towards the modulein terms of understanding.

Beliefs about fact retrieval and inferential reasoning across the adult lifespan.

PubMed

Camp, C J; Pignatiello, M F

1988-01-01

This study deals with beliefs about question-answering processes involving "world knowledge" utilized by young, middle aged, and older adults. Questions intended to induce either fact retrieval or inferential reasoning were shown to younger (n = 37), middle aged (n = 37) and older (n = 37) adults in both a multiple choice and true/false format. Increasing age level was not related to decreased confidence in either fact retrieval or inferential reasoning. Global assessments about these question-answering processes involving "people in general" and self evaluations were taken from the same individuals. In contrast to personal confidence ratings, adults of all ages generally believed in declining fact retrieval abilities in old age. Inferential reasoning, however, often was believed to remain stable or even increase in ability level with increasing age. This was especially true in the assessments generated by older adults and in self evaluations. Thus, negative global beliefs about memory and aging may be present even when such global beliefs contradict item-specific judgments and personal beliefs about one's own cognition.

Attitudes towards personal genomics among older Swiss adults: An exploratory study

PubMed Central

Mählmann, Laura; Röcke, Christina; Brand, Angela; Hafen, Ernst; Vayena, Effy

2016-01-01

Objectives To explore attitudes of Swiss older adults towards personal genomics (PG). Methods Using an anonymized voluntary paper-and-pencil survey, data were collected from 151 men and women aged 60–89 years attending the Seniorenuniversität Zurich, Switzerland (Seniors' University). Analyses were conducted using descriptive and inferential statistics. Results One third of the respondents were aware of PG, and more than half indicated interest in undergoing PG testing. The primary motivation provided was respondents' interest in finding out about their own disease risk, followed by willingness to contribute to scientific research. Forty-four percent were not interested in undergoing testing because results might be worrisome, or due to concerns about the validity of the results. Only a minority of respondents mentioned privacy-related concerns. Further, 66% were interested in undergoing clinic-based PG motivated by the opportunity to contribute to scientific research (78%) and 75% of all study participants indicated strong preferences to donate genomic data to public research institutions. Conclusion This study indicates a relatively positive overall attitude towards personal genomic testing among older Swiss adults, a group not typically represented in surveys about personal genomics. Genomic data of older adults can be highly relevant to late life health and maintenance of quality of life. In addition they can be an invaluable source for better understanding of longevity, health and disease. Understanding the attitudes of this population towards genomic analyses, although important, remains under-examined. PMID:27047754

An inferential and descriptive statistical examination of the relationship between cumulative work metrics and injury in Major League Baseball pitchers.

PubMed

Karakolis, Thomas; Bhan, Shivam; Crotin, Ryan L

2013-08-01

In Major League Baseball (MLB), games pitched, total innings pitched, total pitches thrown, innings pitched per game, and pitches thrown per game are used to measure cumulative work. Often, pitchers are allocated limits, based on pitches thrown per game and total innings pitched in a season, in an attempt to prevent future injuries. To date, the efficacy in predicting injuries from these cumulative work metrics remains in question. It was hypothesized that the cumulative work metrics would be a significant predictor for future injury in MLB pitchers. Correlations between cumulative work for pitchers during 2002-07 and injury days in the following seasons were examined using regression analyses to test this hypothesis. Each metric was then "binned" into smaller cohorts to examine trends in the associated risk of injury for each cohort. During the study time period, 27% of pitchers were injured after a season in which they pitched. Although some interesting trends were noticed during the binning process, based on the regression analyses, it was found that no cumulative work metric was a significant predictor for future injury. It was concluded that management of a pitcher's playing schedule based on these cumulative work metrics alone could not be an effective means of preventing injury. These findings indicate that an integrated approach to injury prevention is required. This approach will likely involve advanced cumulative work metrics and biomechanical assessment.

Inferential functioning in visually impaired children.

PubMed

Puche-Navarro, Rebeca; Millán, Rafael

2007-01-01

The current study explores the inferential abilities of visually impaired children in a task presented in two formats, manipulative and verbal. The results showed that in the group of visually impaired children, just as with children with normal sight, there was a wide range of inference types. It was found that the visually impaired children perform slightly better in the use of inductive and relational inferences in the verbal format, while in the manipulative format children with normal sight perform better. These results suggest that in inferential functioning of young children, and especially visually impaired children, the format of the task influences performance more than the child's visual ability.

Children’s Inferential Styles, 5-HTTLPR Genotype, and Maternal Expressed Emotion-Criticism: An Integrated Model for the Intergenerational Transmission of Depression

PubMed Central

Gibb, Brandon E.; Uhrlass, Dorothy J.; Grassia, Marie; Benas, Jessica S.; McGeary, John

2010-01-01

We tested a model for the intergenerational transmission of depression integrating specific genetic (5-HTTLPR), cognitive (inferential style), and environmental (mother depressive symptoms and expressed-emotion criticism) risk factors. Supporting the hypothesis that maternal depression is associated with elevated levels of stress in children’s lives, mothers with a history of major depressive disorder (MDD) exhibited higher depressive symptoms across a 6-month multi-wave follow-up than mothers with no depression history. In addition, partially supporting our hypothesis, levels of maternal criticism during the follow-up were significantly related to mothers’ current depressive symptoms, but not history of MDD. Finally, we found support for an integrated gene × cognition × environment model of risk. Specifically, among children with negative inferential styles regarding their self-characteristics, there was a clear dose response of 5-HTTLPR genotype moderating the relation between maternal criticism and children’s depressive symptoms, with the highest depressive symptoms during the follow-up observed among children carrying two copies of the 5-HTTLPR lower expressing alleles (S or LG) who also exhibited negative inferential styles for self-characteristics and who experienced high levels of EE-Crit. In contrast, children with positive inferential styles exhibited low depressive symptoms regardless of 5-HTTLPR genotype or level of maternal criticism. PMID:19899843

Children's inferential styles, 5-HTTLPR genotype, and maternal expressed emotion-criticism: An integrated model for the intergenerational transmission of depression.

PubMed

Gibb, Brandon E; Uhrlass, Dorothy J; Grassia, Marie; Benas, Jessica S; McGeary, John

2009-11-01

The authors tested a model for the intergenerational transmission of depression integrating specific genetic (5-HTTLPR), cognitive (inferential style), and environmental (mother depressive symptoms and expressed-emotion criticism [EE-Crit]) risk factors. Supporting the hypothesis that maternal depression is associated with elevated levels of stress in children's lives, mothers with a history of major depressive disorder (MDD) exhibited higher depressive symptoms across a 6-month multiwave follow-up than mothers with no depression history. In addition, partially supporting our hypothesis, levels of maternal criticism during the follow-up were significantly related to mothers' current depressive symptoms but not to history of MDD. Finally, the authors found support for an integrated Gene x Cognition x Environment model of risk. Specifically, among children with negative inferential styles regarding their self-characteristics, there was a clear dose response of 5-HTTLPR genotype moderating the relation between maternal criticism and children's depressive symptoms, with the highest depressive symptoms during the follow-up observed among children carrying 2 copies of the 5-HTTLPR lower expressing alleles (short [S] or long [LG]) who also exhibited negative inferential styles for self-characteristics and who experienced high levels of EE-Crit. In contrast, children with positive inferential styles exhibited low depressive symptoms regardless of 5-HTTLPR genotype or level of maternal criticism. PsycINFO Database Record 2009 APA, all rights reserved.

Conditionals and inferential connections: A hypothetical inferential theory.

PubMed

Douven, Igor; Elqayam, Shira; Singmann, Henrik; van Wijnbergen-Huitink, Janneke

2018-03-01

Intuition suggests that for a conditional to be evaluated as true, there must be some kind of connection between its component clauses. In this paper, we formulate and test a new psychological theory to account for this intuition. We combined previous semantic and psychological theorizing to propose that the key to the intuition is a relevance-driven, satisficing-bounded inferential connection between antecedent and consequent. To test our theory, we created a novel experimental paradigm in which participants were presented with a soritical series of objects, notably colored patches (Experiments 1 and 4) and spheres (Experiment 2), or both (Experiment 3), and were asked to evaluate related conditionals embodying non-causal inferential connections (such as "If patch number 5 is blue, then so is patch number 4"). All four experiments displayed a unique response pattern, in which (largely determinate) responses were sensitive to parameters determining inference strength, as well as to consequent position in the series, in a way analogous to belief bias. Experiment 3 showed that this guaranteed relevance can be suppressed, with participants reverting to the defective conditional. Experiment 4 showed that this pattern can be partly explained by a measure of inference strength. This pattern supports our theory's "principle of relevant inference" and "principle of bounded inference," highlighting the dual processing characteristics of the inferential connection. Copyright © 2017 The Authors. Published by Elsevier Inc. All rights reserved.

Descriptive statistics: the specification of statistical measures and their presentation in tables and graphs. Part 7 of a series on evaluation of scientific publications.

PubMed

Spriestersbach, Albert; Röhrig, Bernd; du Prel, Jean-Baptist; Gerhold-Ay, Aslihan; Blettner, Maria

2009-09-01

Descriptive statistics are an essential part of biometric analysis and a prerequisite for the understanding of further statistical evaluations, including the drawing of inferences. When data are well presented, it is usually obvious whether the author has collected and evaluated them correctly and in keeping with accepted practice in the field. Statistical variables in medicine may be of either the metric (continuous, quantitative) or categorical (nominal, ordinal) type. Easily understandable examples are given. Basic techniques for the statistical description of collected data are presented and illustrated with examples. The goal of a scientific study must always be clearly defined. The definition of the target value or clinical endpoint determines the level of measurement of the variables in question. Nearly all variables, whatever their level of measurement, can be usefully presented graphically and numerically. The level of measurement determines what types of diagrams and statistical values are appropriate. There are also different ways of presenting combinations of two independent variables graphically and numerically. The description of collected data is indispensable. If the data are of good quality, valid and important conclusions can already be drawn when they are properly described. Furthermore, data description provides a basis for inferential statistics.

Fundamentals of Research Data and Variables: The Devil Is in the Details.

PubMed

Vetter, Thomas R

2017-10-01

Designing, conducting, analyzing, reporting, and interpreting the findings of a research study require an understanding of the types and characteristics of data and variables. Descriptive statistics are typically used simply to calculate, describe, and summarize the collected research data in a logical, meaningful, and efficient way. Inferential statistics allow researchers to make a valid estimate of the association between an intervention and the treatment effect in a specific population, based upon their randomly collected, representative sample data. Categorical data can be either dichotomous or polytomous. Dichotomous data have only 2 categories, and thus are considered binary. Polytomous data have more than 2 categories. Unlike dichotomous and polytomous data, ordinal data are rank ordered, typically based on a numerical scale that is comprised of a small set of discrete classes or integers. Continuous data are measured on a continuum and can have any numeric value over this continuous range. Continuous data can be meaningfully divided into smaller and smaller or finer and finer increments, depending upon the precision of the measurement instrument. Interval data are a form of continuous data in which equal intervals represent equal differences in the property being measured. Ratio data are another form of continuous data, which have the same properties as interval data, plus a true definition of an absolute zero point, and the ratios of the values on the measurement scale make sense. The normal (Gaussian) distribution ("bell-shaped curve") is of the most common statistical distributions. Many applied inferential statistical tests are predicated on the assumption that the analyzed data follow a normal distribution. The histogram and the Q-Q plot are 2 graphical methods to assess if a set of data have a normal distribution (display "normality"). The Shapiro-Wilk test and the Kolmogorov-Smirnov test are 2 well-known and historically widely applied quantitative methods to assess for data normality. Parametric statistical tests make certain assumptions about the characteristics and/or parameters of the underlying population distribution upon which the test is based, whereas nonparametric tests make fewer or less rigorous assumptions. If the normality test concludes that the study data deviate significantly from a Gaussian distribution, rather than applying a less robust nonparametric test, the problem can potentially be remedied by judiciously and openly: (1) performing a data transformation of all the data values; or (2) eliminating any obvious data outlier(s).

The Role of Text Memory in Inferencing and in Comprehension Deficits

ERIC Educational Resources Information Center

Hua, Anh N.; Keenan, Janice M.

2014-01-01

Comprehension tests often compare accuracy on inferential versus literal questions and find inferential harder than literal, and poor comprehenders performing worse than controls. Difficulties in integration are assumed to be the reason. This research explores another reason--differences in memory for the passage information underlying the…

How Young Children Learn from Examples: Descriptive and Inferential Problems

ERIC Educational Resources Information Center

Kalish, Charles W.; Kim, Sunae; Young, Andrew G.

2012-01-01

Three experiments with preschool- and young school-aged children (N = 75 and 53) explored the kinds of relations children detect in samples of instances (descriptive problem) and how they generalize those relations to new instances (inferential problem). Each experiment initially presented a perfect biconditional relation between two features…

Children's Inferential Comprehension of Pragmatic Causal Relations in Reading.

ERIC Educational Resources Information Center

Morgan, Argiro Louchis

A study investigated the separate and combined effects of the syntactic organization of the sentence, the contextual framework in which a message is embedded, and the readers' past experiences on children's inferential reading comprehension of pragmatic cause/effect statements. The subjects, 144 fourth grade students, were asked to specify the…

Adaptive Inferential Feedback Partner Training for Depression: A Pilot Study

ERIC Educational Resources Information Center

Dobkin, Roseanne DeFronzo; Allen, Lesley A.; Alloy, Lauren B.; Menza, Matthew; Gara, Michael A.; Panzarella, Catherine

2007-01-01

Adaptive inferential feedback (AIF) partner training is a cognitive technique that teaches the friends and family members of depressed patients to respond to the patients' dysfunctional thoughts in a targeted manner. These dysfunctional attributions, which AIF addresses, are a common residual feature of depression amongst remitted patients, and…

Utility of Inferential Norming with Smaller Sample Sizes

ERIC Educational Resources Information Center

Zhu, Jianjun; Chen, Hsin-Yi

2011-01-01

We examined the utility of inferential norming using small samples drawn from the larger "Wechsler Intelligence Scales for Children-Fourth Edition" (WISC-IV) standardization data set. The quality of the norms was estimated with multiple indexes such as polynomial curve fit, percentage of cases receiving the same score, average absolute…

Survey datasets on women participation in green jobs in the construction industry.

PubMed

Afolabi, Adedeji O; Ojelabi, Rapheal A; Tunji-Olayeni, Patience F; Fagbenle, Olabosipo I; Mosaku, Timothy O

2018-04-01

The unique qualities of women can make them bearers of solutions towards achieving sustainability and dealing with the dangers attributed to climate change. The attitudinal study utilized a questionnaire instrument to obtain perception of female construction professionals. By using a well-structured questionnaire, data was obtained on women participating in green jobs in the construction Industry. Descriptive statistics is performed on the collected data and presented in tables and mean scores (MS). In addition, inferential statistics of categorical regression was performed on the data to determine the level of influence (beta factor) the identified barriers had on the level of participation in green jobs. Barriers and the socio-economic benefits which can guide policies and actions on attracting, retaining and exploring the capabilities of women in green jobs can be obtained from the survey data when analyzed.

When Null Hypothesis Significance Testing Is Unsuitable for Research: A Reassessment.

PubMed

Szucs, Denes; Ioannidis, John P A

2017-01-01

Null hypothesis significance testing (NHST) has several shortcomings that are likely contributing factors behind the widely debated replication crisis of (cognitive) neuroscience, psychology, and biomedical science in general. We review these shortcomings and suggest that, after sustained negative experience, NHST should no longer be the default, dominant statistical practice of all biomedical and psychological research. If theoretical predictions are weak we should not rely on all or nothing hypothesis tests. Different inferential methods may be most suitable for different types of research questions. Whenever researchers use NHST they should justify its use, and publish pre-study power calculations and effect sizes, including negative findings. Hypothesis-testing studies should be pre-registered and optimally raw data published. The current statistics lite educational approach for students that has sustained the widespread, spurious use of NHST should be phased out.

Clinical competence of Guatemalan and Mexican physicians for family dysfunction management.

PubMed

Cabrera-Pivaral, Carlos Enrique; Orozco-Valerio, María de Jesús; Celis-de la Rosa, Alfredo; Covarrubias-Bermúdez, María de Los Ángeles; Zavala-González, Marco Antonio

2017-01-01

To evaluate the clinical competence of Mexican and Guatemalan physicians to management the family dysfunction. Cross comparative study in four care units first in Guadalajara, Mexico, and four in Guatemala, Guatemala, based on a purposeful sampling, involving 117 and 100 physicians, respectively. Clinical competence evaluated by validated instrument integrated for 187 items. Non-parametric descriptive and inferential statistical analysis was performed. The percentage of Mexican physicians with high clinical competence was 13.7%, medium 53%, low 24.8% and defined by random 8.5%. For the Guatemalan physicians'14% was high, average 63%, and 23% defined by random. There were no statistically significant differences between healthcare country units, but between the medium of Mexicans (0.55) and Guatemalans (0.55) (p = 0.02). The proportion of the high clinical competency of Mexican physicians' was as Guatemalans.

A methodological analysis of chaplaincy research: 2000-2009.

PubMed

Galek, Kathleen; Flannelly, Kevin J; Jankowski, Katherine R B; Handzo, George F

2011-01-01

The present article presents a comprehensive review and analysis of quantitative research conducted in the United States on chaplaincy and closely related topics published between 2000 and 2009. A combined search strategy identified 49 quantitative studies in 13 journals. The analysis focuses on the methodological sophistication of the studies, compared to earlier research on chaplaincy and pastoral care. Cross-sectional surveys of convenience samples still dominate the field, but sample sizes have increased somewhat over the past three decades. Reporting of the validity and reliability of measures continues to be low, although reporting of response rates has improved. Improvements in the use of inferential statistics and statistical controls were also observed, compared to previous research. The authors conclude that more experimental research is needed on chaplaincy, along with an increased use of hypothesis testing, regardless of the research designs that are used.

When Null Hypothesis Significance Testing Is Unsuitable for Research: A Reassessment

PubMed Central

Szucs, Denes; Ioannidis, John P. A.

2017-01-01

Null hypothesis significance testing (NHST) has several shortcomings that are likely contributing factors behind the widely debated replication crisis of (cognitive) neuroscience, psychology, and biomedical science in general. We review these shortcomings and suggest that, after sustained negative experience, NHST should no longer be the default, dominant statistical practice of all biomedical and psychological research. If theoretical predictions are weak we should not rely on all or nothing hypothesis tests. Different inferential methods may be most suitable for different types of research questions. Whenever researchers use NHST they should justify its use, and publish pre-study power calculations and effect sizes, including negative findings. Hypothesis-testing studies should be pre-registered and optimally raw data published. The current statistics lite educational approach for students that has sustained the widespread, spurious use of NHST should be phased out. PMID:28824397

Exercise beliefs and behaviours of individuals with Joint Hypermobility syndrome/Ehlers-Danlos syndrome - hypermobility type.

PubMed

Simmonds, Jane V; Herbland, Anthony; Hakim, Alan; Ninis, Nelly; Lever, William; Aziz, Qasim; Cairns, Mindy

2017-11-10

To explore exercise beliefs and behaviours of individuals with Joint Hypermobility syndrome/Ehlers-Danlos syndrome - hypermobility type and to explore patient experiences of physiotherapy. A cross sectional questionnaire survey design was used to collect quantitative and qualitative data from adult members of the Hypermobility Syndromes Association and Ehlers-Danlos Syndrome Support UK. Descriptive and inferential statistics were used to analyse the data. Qualitative data was analysed thematically. 946 questionnaires were returned and analysed. Participants who received exercise advice from a physiotherapist were 1.75 more likely to report high volumes of weekly exercise (odds ratio [OR] = 1.75, 95% confidence interval [CI] = 1.30-2.36, p < 0.001) than those with no advice. Participants who believed that exercise is important for long-term management were 2.76 times more likely to report a high volume of weekly exercise compared to the participants who did not hold this belief (OR = 2.76, 95% CI = 1.38-5.50, p = 0.004). Three themes emerged regarding experience of physiotherapy; physiotherapist as a partner, communication - knowledge, experience and safety. Pain, fatigue and fear are common barriers to exercise. Advice from a physiotherapist and beliefs about the benefits of exercise influenced the reported exercise behaviours of individuals with Ehlers-Danlos syndrome - hypermobility type in this survey. Implications for rehabilitation Exercise is a cornerstone of treatment for Ehlers-Danlos syndrome/Ehlers-Danlos syndrome - hypermobility type. Pain, fatigue and fear of injury are frequently reported barriers to exercise. Advice from physiotherapists may significantly influence exercise behaviour. Physiotherapists with condition specific knowledge and good verbal and non-verbal communication facilitate a positive therapeutic experience.

What's in a Name? The Incorrect Use of Case Series as a Study Design Label in Studies Involving Dogs and Cats.

PubMed

Sargeant, J M; O'Connor, A M; Cullen, J N; Makielski, K M; Jones-Bitton, A

2017-07-01

Study design labels are used to identify relevant literature to address specific clinical and research questions and to aid in evaluating the evidentiary value of research. Evidence from the human healthcare literature indicates that the label "case series" may be used inconsistently and inappropriately. Our primary objective was to determine the proportion of studies in the canine and feline veterinary literature labeled as case series that actually corresponded to descriptive cohort studies, population-based cohort studies, or other study designs. Our secondary objective was to identify the proportion of case series in which potentially inappropriate inferential statements were made. Descriptive evaluation of published literature. One-hundred published studies (from 19 journals) labeled as case series. Studies were identified by a structured literature search, with random selection of 100 studies from the relevant citations. Two reviewers independently characterized each study, with disagreements resolved by consensus. Of the 100 studies, 16 were case series. The remaining studies were descriptive cohort studies (35), population-based cohort studies (36), or other observational or experimental study designs (13). Almost half (48.8%) of the case series or descriptive cohort studies, with no control group and no formal statistical analysis, included inferential statements about the efficacy of treatment or statistical significance of potential risk factors. Authors, peer-reviewers, and editors should carefully consider the design elements of a study to accurately identify and label the study design. Doing so will facilitate an understanding of the evidentiary value of the results. Copyright © 2017 The Authors. Journal of Veterinary Internal Medicine published by Wiley Periodicals, Inc. on behalf of the American College of Veterinary Internal Medicine.

Disparities in vaccinations and cancer screening among U.S.- and foreign-born Arab and European American non-Hispanic White women.

PubMed

Dallo, Florence J; Kindratt, Tiffany B

2015-01-01

Disparities in vaccinations and cancer screening exist when comparing foreign-born and U.S.-born women collectively and disaggregated by race and ethnicity. The purpose of this study was to estimate and compare the age-adjusted prevalence of not receiving a flu or pneumonia vaccine, clinical breast examination, mammogram or Pap smear among U.S.- and foreign-born White women by region of birth and examine associations while controlling for potential confounders. We pooled 12 years of National Health Interview Survey data (n = 117,893). To approximate an "Arab-American" ethnicity, we identified 15 "Arab" countries from the Middle East region that comprise the Arab Nations. Data was requested from the National Center for Health Statistics Research Data Center. We used the χ(2) statistic to compare descriptive statistics and odds ratios (ORs) with 95% CIs were used for inferential statistics. Compared to U.S.-born, foreign-born Whites from the Arab Nations had higher estimates of not receiving recommended vaccinations and cancer screenings. In crude and adjusted analyses, foreign-born Arab-American women were less likely to report receiving a flu vaccine (OR, 0.34; 95% CI, 0.21-0.58), pneumonia vaccine (OR, 0.14; 95% CI, 0.06-0.32), Pap smear (OR, 0.13; 95% CI, 0.05-0.31), or clinical breast examination (OR, 0.16; 95% CI, 0.07-0.37) compared with U.S.-born White women. There were no differences for mammography. This national study examining uptake of flu and pneumonia vaccines and preventive cancer screenings suggests that estimates are lower for foreign-born Arab-American women compared with U.S.-born White women. Future studies should collect qualitative data that assess the cultural context surrounding prevention and screening behaviors among Arab-American women. Copyright © 2015 Jacobs Institute of Women's Health. Published by Elsevier Inc. All rights reserved.

Manipulating measurement scales in medical statistical analysis and data mining: A review of methodologies

PubMed Central

Marateb, Hamid Reza; Mansourian, Marjan; Adibi, Peyman; Farina, Dario

2014-01-01

Background: selecting the correct statistical test and data mining method depends highly on the measurement scale of data, type of variables, and purpose of the analysis. Different measurement scales are studied in details and statistical comparison, modeling, and data mining methods are studied based upon using several medical examples. We have presented two ordinal–variables clustering examples, as more challenging variable in analysis, using Wisconsin Breast Cancer Data (WBCD). Ordinal-to-Interval scale conversion example: a breast cancer database of nine 10-level ordinal variables for 683 patients was analyzed by two ordinal-scale clustering methods. The performance of the clustering methods was assessed by comparison with the gold standard groups of malignant and benign cases that had been identified by clinical tests. Results: the sensitivity and accuracy of the two clustering methods were 98% and 96%, respectively. Their specificity was comparable. Conclusion: by using appropriate clustering algorithm based on the measurement scale of the variables in the study, high performance is granted. Moreover, descriptive and inferential statistics in addition to modeling approach must be selected based on the scale of the variables. PMID:24672565

Statistics, Adjusted Statistics, and Maladjusted Statistics.

PubMed

Kaufman, Jay S

2017-05-01

Statistical adjustment is a ubiquitous practice in all quantitative fields that is meant to correct for improprieties or limitations in observed data, to remove the influence of nuisance variables or to turn observed correlations into causal inferences. These adjustments proceed by reporting not what was observed in the real world, but instead modeling what would have been observed in an imaginary world in which specific nuisances and improprieties are absent. These techniques are powerful and useful inferential tools, but their application can be hazardous or deleterious if consumers of the adjusted results mistake the imaginary world of models for the real world of data. Adjustments require decisions about which factors are of primary interest and which are imagined away, and yet many adjusted results are presented without any explanation or justification for these decisions. Adjustments can be harmful if poorly motivated, and are frequently misinterpreted in the media's reporting of scientific studies. Adjustment procedures have become so routinized that many scientists and readers lose the habit of relating the reported findings back to the real world in which we live.

Statistical hypothesis testing and common misinterpretations: Should we abandon p-value in forensic science applications?

PubMed

Taroni, F; Biedermann, A; Bozza, S

2016-02-01

Many people regard the concept of hypothesis testing as fundamental to inferential statistics. Various schools of thought, in particular frequentist and Bayesian, have promoted radically different solutions for taking a decision about the plausibility of competing hypotheses. Comprehensive philosophical comparisons about their advantages and drawbacks are widely available and continue to span over large debates in the literature. More recently, controversial discussion was initiated by an editorial decision of a scientific journal [1] to refuse any paper submitted for publication containing null hypothesis testing procedures. Since the large majority of papers published in forensic journals propose the evaluation of statistical evidence based on the so called p-values, it is of interest to expose the discussion of this journal's decision within the forensic science community. This paper aims to provide forensic science researchers with a primer on the main concepts and their implications for making informed methodological choices. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

[Health-related behavior in a sample of Brazilian college students: gender differences].

PubMed

Colares, Viviane; Franca, Carolina da; Gonzalez, Emília

2009-03-01

This study investigated whether undergraduate students' health-risk behaviors differed according to gender. The sample consisted of 382 subjects, aged 20-29 years, from public universities in Pernambuco State, Brazil. Data were collected using the National College Health Risk Behavior Survey, previously validated in Portuguese. Descriptive and inferential statistical techniques were used. Associations were analyzed with the chi-square test or Fisher's exact test. Statistical significance was set at p < or = 0.05. In general, females engaged in the following risk behaviors less frequently than males: alcohol consumption (p = 0.005), smoking (p = 0.002), experimenting with marijuana (p = 0.002), consumption of inhalants (p < or = 0.001), steroid use (p = 0.003), carrying weapons (p = 0.001), and involvement in physical fights (p = 0.014). Meanwhile, female students displayed more concern about losing or maintaining weight, although they exercised less frequently than males. The findings thus showed statistically different health behaviors between genders. In conclusion, different approaches need to be used for the two genders.

Rabies Epidemiology and Control in Ecuador.

PubMed

Ortiz-Prado, Esteban; Ponce-Zea, Jorge; Ramirez, Dario; Stewart-Ibarra, Anna M; Armijos, Luciana; Yockteng, Jaime; Cardenas, Washington Bolivar

2015-07-12

Describe the epidemiology and the control effort for rabies in Ecuador. This observational study included data from the Ecuadorian National Institute of Census and Statistics (INEC), and mortality and morbidity data reported by the Ministry of Public Health and the National Institute for Social Security. We conducted a phylogeny analyses to compare the N gene from the Challenge Virus Standard (CVS) vaccine strain used in Ecuador with published Cosmopolitan, Asian and Sylvatic strains. Descriptive and inferential statistics were used to determine the significance of the data. In 1996 Ecuador suffered the highest rate of rabies per capita in the Americas, with an incidence rate of 0.56 cases per 100 000 people per year. Human and canine rabies showed a sharp decline until 2012. Between 1994 and 2014, we found a correlation of 0.925 (p<0.01) between annual cases of dog and human rabies. In 2011, there was an epidemic of sylvatic rabies transmitted to people by vampire bats (Desmodus rotundus) in the Amazon region, specifically in Morona Santiago, leading to 11 fatalities. Phylogenetic analyses of the CVS vaccine N gene showed an association with urban canine rabies strains (the Cosmopolitan lineage and Asian strains), whereas sylvatic rabies, like those reported in the Amazon region, were found to be grouped in a different clade represented mainly by bat-derived strains. This study presents the first compilation of epidemiological data on rabies in Ecuador. The incidence of human and canine rabies, also known as urban rabies, has clearly decreased due to massive canine vaccination campaigns. Phylogenetic analysis of the prevailing vaccine used in the country showed a clear separation from bat-derived rabies, the source of recent rabies outbreaks. Efforts are ongoing to develop rabies vaccines that are highly specific to the rabies virus genotype circulating in the region, including sylvatic rabies. These efforts include the implementation of reverse genetics to generate recombinant virus coding for the prevailing glycoprotein gene.

Rabies Epidemiology and Control in Ecuador

PubMed Central

Ortiz-Prado, Esteban; Ponce-Zea, Jorge; Ramirez, Dario; Stewart-Ibarra, Anna M.; Armijos, Luciana; Yockteng, Jaime; Cárdenas, Washington B.

2016-01-01

Objective: Describe the epidemiology and the control effort for rabies in Ecuador. Methods: This observational study included data from the Ecuadorian National Institute of Census and Statistics (INEC), and mortality and morbidity data reported by the Ministry of Public Health and the National Institute for Social Security. We conducted a phylogeny analyses to compare the N gene from the Challenge Virus Standard (CVS) vaccine strain used in Ecuador with published Cosmopolitan, Asian and Sylvatic strains. Descriptive and inferential statistics were used to determine the significance of the data. Results: In 1996 Ecuador suffered the highest rate of rabies per capita in the Americas, with an incidence rate of 0.56 cases per 100 000 people per year. Human and canine rabies showed a sharp decline until 2012. Between 1994 and 2014, we found a correlation of 0.925 (p<0.01) between annual cases of dog and human rabies. In 2011, there was an epidemic of sylvatic rabies transmitted to people by vampire bats (Desmodus rotundus) in the Amazon region, specifically in Morona Santiago, leading to 11 fatalities. Phylogenetic analyses of the CVS vaccine N gene showed an association with urban canine rabies strains (the Cosmopolitan lineage and Asian strains), whereas sylvatic rabies, like those reported in the Amazon region, were found to be grouped in a different clade represented mainly by bat-derived strains. Conclusions: This study presents the first compilation of epidemiological data on rabies in Ecuador. The incidence of human and canine rabies, also known as urban rabies, has clearly decreased due to massive canine vaccination campaigns. Phylogenetic analysis of the prevailing vaccine used in the country showed a clear separation from bat-derived rabies, the source of recent rabies outbreaks. Efforts are ongoing to develop rabies vaccines that are highly specific to the rabies virus genotype circulating in the region, including sylvatic rabies. These efforts include the implementation of reverse genetics to generate recombinant virus coding for the prevailing glycoprotein gene. PMID:26493436

Optimizing Cold Water Immersion for Exercise-Induced Hyperthermia: A Meta-analysis.

PubMed

Zhang, Yang; Davis, Jon-Kyle; Casa, Douglas J; Bishop, Phillip A

2015-11-01

Cold water immersion (CWI) provides rapid cooling in events of exertional heat stroke. Optimal procedures for CWI in the field are not well established. This meta-analysis aimed to provide structured analysis of the effectiveness of CWI on the cooling rate in healthy adults subjected to exercise-induced hyperthermia. An electronic search (December 2014) was conducted using the PubMed and Web of Science. The mean difference of the cooling rate between CWI and passive recovery was calculated. Pooled analyses were based on a random-effects model. Sources of heterogeneity were identified through a mixed-effects model Q statistic. Inferential statistics aggregated the CWI cooling rate for extrapolation. Nineteen studies qualified for inclusion. Results demonstrate CWI elicited a significant effect: mean difference, 0.03°C·min(-1); 95% confidence interval, 0.03-0.04°C·min(-1). A conservative, observed estimate of the CWI cooling rate was 0.08°C·min(-1) across various conditions. CWI cooled individuals twice as fast as passive recovery. Subgroup analyses revealed that cooling was more effective (Q test P < 0.10) when preimmersion core temperature ≥38.6°C, immersion water temperature ≤10°C, ambient temperature ≥20°C, immersion duration ≤10 min, and using torso plus limbs immersion. There is insufficient evidence of effect using forearms/hands CWI for rapid cooling: mean difference, 0.01°C·min(-1); 95% confidence interval, -0.01°C·min(-1) to 0.04°C·min(-1). A combined data summary, pertaining to 607 subjects from 29 relevant studies, was presented for referencing the weighted cooling rate and recovery time, aiming for practitioners to better plan emergency procedures. An optimal procedure for yielding high cooling rates is proposed. Using prompt vigorous CWI should be encouraged for treating exercise-induced hyperthermia whenever possible, using cold water temperature (approximately 10°C) and maximizing body surface contact (whole-body immersion).

Moving from Explicit to Implicit: A Case Study of Improving Inferential Comprehension

ERIC Educational Resources Information Center

Yeh, Yi-Fen; McTigue, Erin M.; Joshi, R. Malatesha

2012-01-01

The article describes a successful intervention program in developing inferential comprehension in a sixth grader. Steve (pseudonym) was proficient in word reading, was able to detect explicit information while reading, but struggled with linking textual information to yield integral ideas. After 10 weeks of working with Steve on word analogies,…

Predicting Changes in Depressive Symptoms from Pregnancy to Postpartum: The Role of Brooding Rumination and Negative Inferential Styles

PubMed Central

Barnum, Sarah E.; Woody, Mary L.; Gibb, Brandon E.

2014-01-01

The current study examined the role of cognitive factors in the development and maintenance of depressive symptoms from pregnancy into the postpartum period. One hundred and one women were assessed for levels of rumination (brooding and reflection), negative inferential styles, and depressive symptoms in their third trimester of pregnancy and depressive symptom levels again at four and eight weeks postpartum. We found that, although none of the three cognitive variables predicted women’s initial depressive reactions following childbirth (from pregnancy to one month postpartum), brooding rumination and negative inferential styles predicted longer-term depressive symptom changes (from pregnancy to two months postpartum). However, the predictive validity of women’s negative inferential styles was limited to women already exhibiting relatively high depressive symptom levels during pregnancy, suggesting that it was more strongly related to the maintenance of depressive symptoms into the postpartum period rather than increases in depressive symptoms following childbirth. Modifying cognitive risk factors, therefore, may be an important focus of intervention for depression during pregnancy. PMID:25401383

Cognitive stimulation of pupils with Down syndrome: A study of inferential talk during book-sharing.

PubMed

Engevik, Liv Inger; Næss, Kari-Anne B; Hagtvet, Bente E

2016-08-01

In the education of pupils with Down syndrome, "simplifying" literal talk and concrete stimulation have typically played a dominant role. This explorative study investigated the extent to which teachers stimulated abstract cognitive functions via inferential talk during book-sharing and how pupils with Down syndrome responded. Dyadic interactions (N=7) were videotaped, transcribed and coded to identify levels of abstraction in teacher utterances and to evaluate the adequacy of pupil responses. One-third of the teachers' utterances contained high levels of abstraction and promoted inferential talk. Six of the seven children predominantly responded in ways which revealed inferential thinking. Dialog excerpts highlighted individual, contextual and interactional factors contributing to variations in the findings. Contrary to previous claims, the children with Down syndrome in the current sample appear able to draw inferences beyond the "here-and-now" with teacher support. This finding highlights the educational relevance and importance of higher-order cognitive stimulation of pupils with intellectual disabilities, to foster independent metacognitive skills. Copyright © 2016 Elsevier Ltd. All rights reserved.

Comprehension of inferential meaning in language-impaired and language normal children.

PubMed

Letts, C; Leinonen, E

2001-01-01

Three groups of language-normal (LN) 6, 8 and 16/17 year olds, and a group of language-impaired (LI) children were given a task answering questions about pictures that involved inferential meaning. A developmental progression in the types of responses given is seen, with the LI children performing like the youngest LN children. A similar progression is seen in the ability to justify the answers given to inferential questions with the young adult group giving the fewest justifications that were problematical in some way. Larger numbers of problematical justifications in the LI group can be related to some extent to non-pragmatic aspects of their impairment, but overall this group also gave more pragmatically irrelevant responses when asked to justify answers given. It was not possible to identify any major differences between subgroups of children within the LI group, identified as pragmatically impaired (PI) and non pragmatically impaired (NPI), in terms of either answers given to inferential questions or in terms of problematical justifications for these answers. Possible reasons for these findings are discussed.

Assessment of strategic processing during narrative comprehension in individuals with mild cognitive impairment.

PubMed

Schmitter-Edgecombe, Maureen; Creamer, Scott

2010-07-01

A think-aloud protocol was used to examine the strategies used by individuals with mild cognitive impairment (MCI) during text comprehension. Twenty-three participants with MCI and 23 cognitively healthy older adults (OA) read narratives, pausing to verbalize their thoughts after each sentence. The verbal protocol analysis developed by Trabasso and Magliano (1996) was then used to code participants' utterances into inferential and non-inferential statements; inferential statements were further coded to identify the memory operation used in their generation. Compared with OA controls, the MCI participants showed poorer story comprehension and produced fewer inferences. The MCI participants were also less skilled at providing explanations of story events and in using prior text information to support inference generation. Poorer text comprehension was associated with poorer verbal memory abilities and poorer use of prior text events when producing inferential statements. The results suggest that the memory difficulties of the MCI group may be an important cognitive factor interfering with their ability to integrate narrative events through the use of inferences and to form a global coherence to support text comprehension.

Much ado about two: reconsidering retransformation and the two-part model in health econometrics.

PubMed

Mullahy, J

1998-06-01

In health economics applications involving outcomes (y) and covariates (x), it is often the case that the central inferential problems of interest involve E[y/x] and its associated partial effects or elasticities. Many such outcomes have two fundamental statistical properties: y > or = 0; and the outcome y = 0 is observed with sufficient frequency that the zeros cannot be ignored econometrically. This paper (1) describes circumstances where the standard two-part model with homoskedastic retransformation will fail to provide consistent inferences about important policy parameters; and (2) demonstrates some alternative approaches that are likely to prove helpful in applications.

Learning algebra through MCREST strategy in junior high school students

NASA Astrophysics Data System (ADS)

Siregar, Nurfadilah; Kusumah, Yaya S.; Sabandar, J.; Dahlan, J. A.

2017-09-01

The aims of this paper are to describe the use of MCREST strategy in learning algebra and to obtain empirical evidence on the effect of MCREST strategy es specially on reasoning ability. Students in eight grade in one of schools at Cimahi City are chosen as the sample of this study. Using pre-test and post-test control group design, the data then analyzed in descriptive and inferential statistics. The results of this study show the students who got MCREST strategy in their class have better result in test of reasoning ability than students who got direct learning. It means that MCREST strategy gives good impact in learning algebra.

Psychosocial factors and metabolic parameters: is there any association in elderly people? The Massa Lombarda Project

PubMed Central

Bove, Marilisa; Carnevali, Lucio; Cicero, Arrigo FG; Grandi, Elisa; Gaddoni, Morena; Noera, Giorgio; Gaddi, Antonio V

2010-01-01

Objective Several Studies claim that psychophysical stress and depression contribute significantly to cardiovascular disease (CVD) development. The aim of our research is to discover and analyse a possible relationship between two psychosocial disorders (Depression and Perceived Mental Stress) and traditional cardiovascular risk markers. Methods We selected 106 subjects (M:58, F:48), mean age 79,5 ± 3,8 years old, from The Massa Lombarda Project, an epidemiological study including 7000 north Italian adult subjects. We carried out anamnesis, clinical and blood tests. Then we administered the Perceived Stress Questionnaire (PSQ range-score 0-1) and the Self Rating Depression Scale (SRDS range score 50-70 Z), as validated instruments for depression and stress evaluation, which focus on the individual's subjective perception and emotional response. Statistical descriptive and inferential analysis of data collected were performed. Results The Multiple linear regression analysis showed a negative correlation between PSQ Index score and Uric Acid, LDL-C, BMI, Systolic and Diastolic Blood Pressure values, a positive and statistically significant correlation between PSQ Index score and Triglycerides(P<0.05). We found an inverse relationship between Zung SRDS score and LDL-C, Uric Acid, Glucose, Waist Circumference values, this correlation was significant only for Uric Acid (P<0.01); besides a positive and significant correlation between Zung SRDS and Triglycerides (P<0.05) was observed. Conclusion We suppose that psycho-emotional stress and depression disorder, often diagnosed in elderly people, may influence different metabolic parameters (triglycerides, Uric Acid, BMI) that are involved in the complex process of Metabolic Syndrome. PMID:20635238

Factors Influencing Physical Activity Behavior among Iranian Women with Type 2 Diabetes Using the Extended Theory of Reasoned Action.

PubMed

Didarloo, Alireza; Shojaeizadeh, Davoud; Ardebili, Hassan Eftekhar; Niknami, Shamsaddin; Hajizadeh, Ebrahim; Alizadeh, Mohammad

2011-10-01

Findings of most studies indicate that the only way to control diabetes and prevent its debilitating effects is through the continuous performance of self-care behaviors. Physical activity is a non-pharmacological method of diabetes treatment and because of its positive effects on diabetic patients, it is being increasingly considered by researchers and practitioners. This study aimed at determining factors influencing physical activity among diabetic women in Iran, using the extended theory of reasoned action in Iran. A sample of 352 women with type 2 diabetes, referring to a Diabetes Clinic in Khoy, Iran, participated in the study. Appropriate instruments were designed to measure the desired variables (knowledge of diabetes, personal beliefs, subjective norms, perceived self-efficacy, behavioral intention and physical activity behavior). The reliability and validity of the instruments were examined and approved. Statistical analyses of the study were conducted by inferential statistical techniques (independent t-test, correlations and regressions) using the SPSS package. The findings of this investigation indicated that among the constructs of the model, self efficacy was the strongest predictor of intentions among women with type 2 diabetes and both directly and indirectly affected physical activity. In addition to self efficacy, diabetic patients' physical activity also was influenced by other variables of the model and sociodemographic factors. Our findings suggest that the high ability of the theory of reasoned action extended by self-efficacy in forecasting and explaining physical activity can be a base for educational intervention. Educational interventions based on the proposed model are necessary for improving diabetics' physical activity behavior and controlling disease.

Retrospective examination of the healthcare 'journey' of chronic orofacial pain patients referred to oral and maxillofacial surgery.

PubMed

Beecroft, E V; Durham, J; Thomson, P

2013-03-01

To gain a deeper understanding of the clinical journey taken by orofacial pain patients from initial presentation in primary care to treatment by oral and maxillofacial surgery. Retrospective audit. Data were collected from 101 consecutive patients suffering from chronic orofacial pain, attending oral and maxillofacial surgery clinics between 2009 and 2010. Once the patients were identified, information was drawn from their hospital records and referral letters, and a predesigned proforma was completed by a single examiner (EVB). Basic descriptive statistics and non-parametric inferential statistical techniques (Krushal-Wallis) were used to analyse the data. DATA AND DISCUSSION: Six definitive orofacial pain conditions were represented in the data set, 75% of which were temporomandibular disorders (TMD). Individuals within our study were treated in nine different hospital settings and were referred to 15 distinct specialties. The mean number of consultations received by the patients in our study across all care settings is seven (SD 5). The mean number of specialities that the subjects were assessed by was three (SD 1). The sample set had a total of 341 treatment attempts to manage their chronic orofacial pain conditions, of which only 83 (24%) of all the treatments attempted yielded a successful outcome. Improved education and remuneration for primary care practitioners as well as clear care pathways for patients with chronic orofacial pain should be established to reduce multiple re-referrals and improve efficiency of care. The creation of specialist regional centres for chronic orofacial pain may be considered to manage severe cases and drive evidence-based practice.

Factors Associated with the Persistence of Bullying Victimization From 10th grade to 13th Grade: A Longitudinal Study.

PubMed

Lien, Lars; Welander-Vatn, Audun

2013-01-01

Bullying among adolescents represents a major public health challenge. The aim of this study was to map the stability of bullying victimization across the transitional phase from lower to upper secondary school, and to describe the sociodemographic, academic and health-related characteristics of those bullied during the transition. 3674 Norwegian adolescents were followed longitudinally from the age of 15/16 until the age of 18/19, answering questionnaires about health, academic achievements, life events, lifestyle and sociodemography. The 337 participants reporting exposure to bullying victimization at age 15/16 were the target group, as we made comparisons between those reporting victimization only at the age of 15/16 (n=289) with the participants for whom the bullying had continued into later adolescence (n = 48). 14% of those victimized at age 15/16, reported continuation of bullying victimization into upper secondary school. These adolescents were significantly more likely to report having divorced parents, low parental educational level, poor self-perceived economy, muscle and skeletal pain, symptoms of mental distress, lower school marks in Norwegian and higher body-mass index (BMI) when group differences at age 18/19 were assessed through basic inferential statistical tests. However, the multivariate logistic regression analyses only revealed statistically significantly increased adjusted odds ratios for the variables mental distress and school-marks in Norwegian. The persistence of exposure to bullying from 10th grade to 13th grade is associated with mental health complaints and poor school performance. Preventive measures to take care of students being continuously bullied should be in place in secondary schools.

Comparative effects of proprioceptive and isometric exercises on pain intensity and difficulty in patients with knee osteoarthritis: A randomised control study.

PubMed

Ojoawo, Adesola O; Olaogun, Matthew O B; Hassan, Mariam A

2016-11-14

The study compared the effects of isometric quadriceps exercise and proprioceptive exercise on pain, joint stiffness and physical difficulties of patients with knee osteoarthritis. Forty-five patients with history of knee osteoarthritis were randomly allocated into two groups; A with 23 subjects and B with 22 subjects. All subjects received infrared radiation for 20 minutes and kneading massage with methyl salicylate ointment. Group A underwent proprioceptive exercises while Group B had isometric quadriceps exercise. Each exercise session lasted for 10 minutes according to standard protocol, twice in a week for six weeks. Pre-treatment, 3rd week and 6th week pain intensity, joint stiffness and physical difficulties were assessed using Western Ontario McMaster Universities Osteoarthritis Index (WOMAC) questionnaire. Statistical package for social sciences (SPSS) version 17 was used to analyse the data while descriptive and inferential statistics were used to summarise the result. Proprioceptive exercises reduced pain intensity significantly (F = 4.76; p = 0.00) at 6th week with effect size of 2.79, and physical difficulty (F = 3.69; p < 0.04) with effect size of 7.53 better than isometric exercises. There was a significant reduction in the pain intensity (F = 12.08; p < 0.001), and physical difficulties (F = 3.69, p = 0.04) in pre-treatment, 3rd week and 6th week in both Group A and B. Both exercises are effective but proprioceptive exercises may be more effective in the management of patients with knee osteoarthritis (KOA) than isometric exercises.

The first year experience of occupational therapy students at an Australian regional university: Promoting student retention and developing a regional and remote workforce.

PubMed

Boehm, Jackie; Cordier, Reinie; Thomas, Yvonne; Tanner, Bronwyn; Salata, Karen

2017-02-01

Student retention at regional universities is important in addressing regional and remote workforce shortages. Students attending regional universities are more likely to work in regional areas. First year experience at university plays a key role in student retention. This study aimed to explore factors influencing the first year experience of occupational therapy students at a regional Australian university. Surveys were administered to 58 second year occupational therapy students in the first week of second year. Data were analysed using descriptive statistics, inferential statistics (Pearson χ 2 ; Spearman rho) and summarising descriptive responses. An Australian regional university. Second year undergraduate occupational therapy students. Factors influencing students' decisions to study and continue studying occupational therapy; factors enhancing first year experience of university. Fifty-four students completed the survey (93.1%). A quarter (25.9%) of students considered leaving the course during the first year. The primary influence for continuing was the teaching and learning experience. Most valued supports were orientation week (36.7%) and the first year coordinator (36.7%). The importance of the first year experience in retaining occupational therapy students is highlighted. Engagement with other students and staff and academic support are important factors in facilitating student retention. It is important to understand the unique factors influencing students' decisions, particularly those from regional and remote areas, to enter and continue in tertiary education to assist in implementing supports and strategies to improve student retention. © 2015 National Rural Health Alliance Inc.

Instructional leadership in elementary science: How are school leaders positioned to lead in a next generation science standards era?

NASA Astrophysics Data System (ADS)

Winn, Kathleen Mary

The Next Generation Science Standards (NGSS) are the newest K-12 science content standards created by a coalition of educators, scientists, and researchers available for adoption by states and schools. Principals are important actors during policy implementation especially since principals are charged with assuming the role of an instructional leader for their teachers in all subject areas. Science poses a unique challenge to the elementary curricular landscape because traditionally, elementary teachers report low levels of self-efficacy in the subject. Support in this area therefore becomes important for a successful integration of a new science education agenda. This study analyzed self-reported survey data from public elementary principals (N=667) to address the following three research questions: (1) What type of science backgrounds do elementary principals have? (2) What indicators predict if elementary principals will engage in instructional leadership behaviors in science? (3) Does self-efficacy mediate the relationship between science background and a capacity for instructional leadership in science? The survey data were analyzed quantitatively. Descriptive statistics address the first research question and inferential statistics (hierarchal regression analysis and a mediation analysis) answer the second and third research questions.The sample data show that about 21% of elementary principals have a formal science degree and 26% have a degree in a STEM field. Most principals have not had recent experience teaching science, nor were they every exclusively a science teacher. The analyses suggests that demographic, experiential, and self-efficacy variables predict instructional leadership practices in science.

Teachers' Literal and Inferential Talk in Early Childhood and Special Education Classrooms

ERIC Educational Resources Information Center

Sembiante, Sabrina F.; Dynia, Jaclyn M.; Kaderavek, Joan N.; Justice, Laura M.

2018-01-01

Research Findings: This study examined preschool teachers' literal talk (LT) and inferential talk (IT) during shared book readings in early childhood education (ECE) and early childhood special education (ECSE) classrooms. We aimed to characterize and compare teachers' LT and IT in these 2 classroom contexts and determine whether differences in LT…

Developing Students' Reasoning about Samples and Sampling in the Context of Informal Inferences

ERIC Educational Resources Information Center

Meletiou-Mavrotheris, Maria; Paparistodemou, Efi

2015-01-01

The expanding use of data in modern society for prediction and decision-making makes it a priority for mathematics instruction to help students build sound foundations of inferential reasoning at a young age. This study contributes to the emerging research literature on the early development of informal inferential reasoning through the conduct of…

Using Higher Order Cognitive Questions in the Primary Classroom To Improve Comprehension.

ERIC Educational Resources Information Center

Coolidge, Susan W.

A teaching team leader and second grade teacher designed and implemented a 10-week practicum intervention meant to improve the inferential comprehension of 105 second graders whose reading scores on the Ginn Mastery Tests revealed a gap between inferential and literal comprehension. It was reasoned that the gap would decrease if teachers were…

An empirical inferential method of estimating nitrogen deposition to Mediterranean-type ecosystems: the San Bernardino Mountains case study

Treesearch

A. Bytnerowicz; R.F. Johnson; L. Zhang; G.D. Jenerette; M.E. Fenn; S.L. Schilling; I. Gonzalez-Fernandez

2015-01-01

The empirical inferential method (EIM) allows for spatially and temporally-dense estimates of atmospheric nitrogen (N) deposition to Mediterranean ecosystems. This method, set within a GIS platform, is based on ambient concentrations of NH3, NO, NO2 and HNO3; surface conductance of NH4...

Effects of Working Memory Capacity and Content Familiarity on Literal and Inferential Comprehension in L2 Reading

ERIC Educational Resources Information Center

Alptekin, Cem; Ercetin, Gulcan

2011-01-01

This study examines the effects of working memory capacity and content familiarity on literal and inferential comprehension in second language (L2) reading. Participants were 62 Turkish university students with an advanced English proficiency level. Working memory capacity was measured through a computerized version of a reading span test, whereas…

Utilization of Fact Retrieval and Inferential Reasoning in Young, Middle-Aged, and Elderly Adults.

ERIC Educational Resources Information Center

Camp, Cameron J.; Pignatiello, Michael F.

World knowledge is defined as information that is acquired by adults from life experiences. To investigate question answering processes involving world knowledge systems, 120 young, middle-aged and older adults were given questions intended to induce either fact retrieval or inferential reasoning. Multiple-choice and true/false formats were used.…

Inferential determination of various properties of a gas mixture

DOEpatents

Morrow, Thomas B.; Behring, II, Kendricks A.

2007-03-27

Methods for inferentially determining various properties of a gas mixture, when the speed of sound in the gas is known at an arbitrary temperature and pressure. The method can be applied to natural gas mixtures, where the known parameters are the sound speed, temperature, pressure, and concentrations of any dilute components of the gas. The method uses a set of reference gases and their calculated density and speed of sound values to estimate the density of the subject gas. Additional calculations can be made to estimate the molecular weight of the subject gas, which can then be used as the basis for heating value calculations. The method may also be applied to inferentially determine density and molecular weight for gas mixtures other than natural gases.

Action comprehension in non-human primates: motor simulation or inferential reasoning?

PubMed

Wood, Justin N; Hauser, Marc D

2008-12-01

Some argue that action comprehension is intimately connected with the observer's own motor capacities, whereas others argue that action comprehension depends on non-motor inferential mechanisms. We address this debate by reviewing comparative studies that license four conclusions: monkeys and apes extract the meaning of an action (i) by going beyond the surface properties of actions, attributing goals and intentions to the agent; (ii) by using environmental information to infer when actions are rational; (iii) by making predictions about an agent's goal, and the most probable action to obtain the goal given environmental constraints; (iv) in situations in which they are physiologically incapable of producing the actions. Motor theories are, thus, insufficient to account for primate action comprehension in the absence of inferential mechanisms.

[The influence of music on pictorial expression of young women--a comparative study of different music styles].

PubMed

Schiltz, L; Maugendre, M; Brytek-Matera, A

2010-01-01

Questing one's personal identity and developing a coherent representation of oneself, the other and the world are major tasks in adolescence. Research showed that a satisfactory resolution of the crisis of adolescence can be favoured by psychological counselling based on artistic mediations. The objective of this study consisted in exploring the effect of music on the pictorial expression of a non clinical sample of female adolescents (N=157) aged from 17 to 28 years. We analysed free drawings realised by the test group with the help of a rating scale constructed in a phenomenological and structural perspective (Schiltz, 2006). The adolescents painted under musical induction. We proposed three different styles of music, i.e. baroque music (Georg Friedrich Händel and Johann Sebastian Bach), classical music (Wolfgang Amadeus Mozart and Ludwig van Beethoven) and polish ethnical music (Kapela ze Wsi Warszawa-Warsaw Village Band). By using non parametric inferential and multi dimensional statistics, we could show that structural characteristics of music styles lead to differences in formal and content variables on the rating scales for the pictures. The results of our exploratory study open some tracks for future research. It would be pertinent to enlarge the population to other categories of age and to investigate the influence of gender.

Beliefs and Practice Patterns in Spinal Manipulation and Spinal Motion Palpation Reported by Canadian Manipulative Physiotherapists

PubMed Central

Macdermid, Joy C.; Santaguida, P. Lina; Thabane, Lehana; Giulekas, Kevin; Larocque, Leo; Millard, James; Williams, Caitlin; Miller, Jack; Chesworth, Bert M.

2013-01-01

ABSTRACT Purpose: This practice survey describes how Fellows of the Canadian Academy of Manipulative Physiotherapy (FCAMPT) use spinal manipulation and mobilization and how they perceive their competence in performing spinal assessment; it also quantifies relationships between clinical experience and use of spinal manipulation. Methods: A cross-sectional survey was designed based on input from experts and the literature was administered to a random sample of the FCAMPT mailing list. Descriptive (including frequencies) and inferential statistical analyses (including linear regression) were performed. Results: The response rate was 82% (278/338 eligible FCAMPTs). Most (99%) used spinal manipulation. Two-thirds (62%) used clinical presentation as a factor when deciding to mobilize or manipulate. The least frequently manipulated spinal region was the cervical spine (2% of patients); 60% felt that cervical manipulation generated more adverse events. Increased experience was associated with increased use of upper cervical manipulation among male respondents (14% more often for every 10 years after certification; β, 95% CI=1.37, 0.89–1.85, p<0.001) but not among female respondents. Confidence in palpation accuracy decreased in lower regions of the spine. Conclusion: The use of spinal manipulation/mobilization is prevalent among FCAMPTs, but is less commonly used in the neck because of a perceived association with adverse events. PMID:24403681

Who cares? A critical discussion of the value of caring from a patient and healthcare professional perspective.

PubMed

Flynn, Sandra

2016-02-01

This study was undertaken in order to discover and illuminate the essential caring behaviours valued by both patients and staff in an orthopaedic setting within a district general hospital in the United Kingdom. This descriptive study was undertaken in order to acquire a greater understanding of perceptions of caring from both patient and orthopaedic healthcare professional perspectives. A sample of 30 patients and 53 healthcare professionals consisting of doctors, nurses, physiotherapists and occupational therapists were asked to complete the Caring Behaviours Inventory (CBI) questionnaire (Wolf et al., 1994). Data were analysed using descriptive and inferential statistics. The findings revealed both similarities and differences relating to the importance of positive caring behaviours exhibited during caring interactions. Healthcare professionals working in the orthopaedic setting acknowledged the value of similar positive caring behaviours to those of the patient group but ranked the importance of these differently. Several important insights into perceptions of caring have been gained. These relate to an overall understanding of the caring behaviours that are considered of importance to patients and healthcare professionals; the differences that exist between the caring perceptions of both groups and the factors which influence these perceptions. Copyright © 2015 Elsevier Ltd. All rights reserved.

Relationship between ethical leadership and organisational commitment of nurses with perception of patient safety culture.

PubMed

Lotfi, Zahra; Atashzadeh-Shoorideh, Foroozan; Mohtashami, Jamileh; Nasiri, Maliheh

2018-03-12

To determine the relationship between ethical leadership, organisational commitment of nurses and their perception of patient safety culture. Patient safety, organisational commitment and ethical leadership styles are very important for improving the quality of nursing care. In this descriptive-correlational study, 340 nurses were selected using random sampling from the hospitals in Tehran in 2016. Data were analysed using descriptive and inferential statistics in SPSS v.20. There was a significant positive relationship between the ethical leadership of nursing managers, perception of patient safety culture and organisational commitment. The regression analysis showed that nursing managers' ethical leadership and nurses' organisational commitment is a predictor of patient safety culture and confirms the relationship between the variables. Regarding the relationship between the nurses' safety performance, ethical leadership and organisational commitment, it seems that the optimisation of the organisational commitment and adherence to ethical leadership by administrators and managers in hospitals could improve the nurses' performance in terms of patient safety. Implementing ethical leadership seems to be one feasible strategy to improve nurses' organisational commitment and perception of patient safety culture. Efforts by nurse managers to develop ethical leadership reinforce organisational commitment to improve patient outcomes. Nurse managers' engagement and performance in this process is vital for a successful result. © 2018 John Wiley & Sons Ltd.

Diagnostic proficiency and reporting of Lassa fever by physicians in Osun State of Nigeria.

PubMed

Olowookere, Samuel Anu; Fatiregun, Akinola Ayoola; Gbolahan, Olalere Omoyosola; Adepoju, Ebenezer Gbenga

2014-06-20

Lassa fever is highly contagious and commonly results in death. It is therefore necessary to diagnose and report any suspected case of Lassa fever to facilitate preventive strategies. This study assessed the preparedness of physicians in the diagnosis and reporting of Lassa fever. The study design was descriptive cross-sectional. The consenting medical doctors completed a self-administered questionnaire on the diagnosis and reporting of Lassa fever. Descriptive and inferential statistics were used in data analyses. One hundred seventy-five physicians participated in the study. The mean age was 41.5 ± 10.9 years (range, 24-75 years). Most of the physicians were male (78.9%) and had practiced medicine ≥ 20 years (51.5%). Most of the physicians had a good knowledge regarding the diagnosis and reporting of Lassa fever; however, none of the physicians had ever diagnosed or reported a suspected case. Predictors of good knowledge include male sex, not practicing at a secondary health care level and post graduation year more than 20 years. There is disparity in knowledge and practices of physicians regarding the diagnosis and reporting of Lassa fever. Thus, it is necessary to improve the knowledge and practices of physicians regarding the diagnosis and reporting of Lassa fever.

Dietary practices in ancient populations from northern Chile during the transition to agriculture (Tarapacá region, 1000 BC-AD 900).

PubMed

Santana-Sagredo, Francisca; Uribe, Mauricio; Herrera, María José; Retamal, Rodrigo; Flores, Sergio

2015-12-01

The goal of this research is to understand the relevance of diet diversity during the transition to agriculture, in ancient populations from northern Chile, especially considering the significance of marine resources and crops in a lesser degree. A total of 14 human individuals were sampled from the Tarapacá 40 cemetery. Both bone and tooth samples were collected. Samples were studied from bone/dentine collagen for carbon and nitrogen isotopic analysis; and bone/enamel apatite for carbon isotope analysis. Inferential statistical analyses were performed in order to compare Tarapacá 40 stable carbon and nitrogen isotope values with other Formative and Late Intermediate Period groups. A nonparametrical hypothesis Kruskal-Wallis test was used. The results show that the individuals from Tarapacá 40 are intermediate to the values observed for terrestrial and marine fauna as well as C3 and C4 plants. A gradual transition to crop consumption, especially maize, is suggested. This complemented the earlier hunter-gatherer tradition of marine resources and wild fruit consumption. Contrarily to the predictions made by some archaeologists, the results obtained for northern Chile contrast with the classical perspective of a "Neolithic Revolution" in which transition to agriculture occurred more abruptly and linearly. © 2015 Wiley Periodicals, Inc.

Pharmacists' Roles in Post-September 11th Disasters: A Content Analysis of Pharmacy Literature.

PubMed

Ford, Heath; von Waldner, Trina; Perri, Matthew

2014-08-01

To characterize the roles pharmacists have assumed in disasters and clarify the types of roles and disasters that may be less well-documented in the pharmacy literature. This research examines how balanced or equally proportioned role categories are in the pharmacy literature, whether pharmacy journals differ in the proportion of role categories reported, and whether journals significantly differ in the proportion of reported chemical, biological, radiological, nuclear (CBRN), and natural disasters. Data coding was performed solely by the lead author using Concordance (Harvard University, Cambridge, Massachusetts), a Web-based content analysis software, and Minitab(®) (version 15; Minitab, Inc; State College, Pennsylvania) for descriptive and inferential statistical analysis. Pharmacy journals publishing at least 2 articles about pharmacist disaster roles from September 11, 2001 to September 30, 2011 were used in the study and were available electronically. Chi-square analyses reveal significant differences in the weighted counts of roles, roles categorized by journal, and CBRN disasters categorized by journal. Data suggest that pharmacists may be prepared to respond to hurricanes and biological and chemical disasters in pharmaceutical supply and patient management roles. Future research should highlight efforts to prepare health systems for the effects of nuclear, radiological, and chemical disasters. © The Author(s) 2013.

Time-motion analysis of goalball players in attacks: differences of the player positions and the throwing techniques.

PubMed

Monezi, Lucas Antônio; Magalhães, Thiago Pinguelli; Morato, Márcio Pereira; Mercadante, Luciano Allegretti; Furtado, Otávio Luis Piva da Cunha; Misuta, Milton Shoiti

2018-03-26

In this study, we aimed to analyse goalball players time-motion variables (distance covered, time spent, maximum and average velocities) in official goalball match attacks, taking into account the attack phases (preparation and throwing), player position (centres and wings) and throwing techniques (frontal, spin and between the legs). A total of 365 attacks were assessed using a video based method (2D) through manual tracking using the Dvideo system. Inferential non-parametric statistics were applied for comparison of preparation vs. throwing phase, wings vs. centres and, among the throwing techniques, frontal, spin and between the legs. Significant differences were found between the attack preparation versus the throwing phase for all player time-motion variables: distance covered, time spent, maximum player velocity and average player velocity. Wing players performed most of the throws (85%) and covered longer distances than centres (1.65 vs 0.31 m). The between the legs and the spin throwing techniques presented greater values for most of the time-motion variables (distance covered, time spent and maximum player velocity) than did the frontal technique in both attack phases. These findings provide important information regarding players' movement patterns during goalball matches that can be used to plan more effective training.

Racial/Ethnic Differences in Cardiovascular Symptoms in Four Major Racial/Ethnic Groups of Midlife Women: A Secondary Analysis

PubMed Central

Im, Eun-Ok; Ham, Ok Kyung; Chee, Eunice; Chee, Wonshik

2015-01-01

Ethnic minority midlife women frequently do not recognize cardiovascular symptoms that they experience during the menopausal transition. Racial/ethnic differences in cardiovascular symptoms are postulated as a plausible reason for their lack of knowledge and recognition of the symptoms. The purpose of this study was to explore racial/ethnic differences in midlife women’s cardiovascular symptoms and to determine the factors related to these symptoms in each racial/ethnic group. This was a secondary analysis of the data from a larger study among 466 participants, collected from 2006 to 2011. The instruments included questions on background characteristics, health and menopausal status and the Cardiovascular Symptom Index for Midlife Women. The data were analyzed using inferential statistics, including Poisson regression and logistic regression analyses. Significant racial/ethnic differences were observed in the total numbers and total severity scores of cardiovascular symptoms (p<0.01). Non-Hispanic Asians had significantly lower total numbers and total severity scores compared to other racial/ethnic groups (p<0.05). The demographic and health factors associated with cardiovascular symptoms were somewhat different in each racial/ethnic group. Further studies are needed about possible reasons for the racial/ethnic differences and the factors associated with cardiovascular symptoms in each racial/ethnic group. PMID:25826460

Social networking policies in nursing education.

PubMed

Frazier, Blake; Culley, Joan M; Hein, Laura C; Williams, Amber; Tavakoli, Abbas S

2014-03-01

Social networking use has increased exponentially in the past few years. A literature review related to social networking and nursing revealed a research gap between nursing practice and education. Although there was information available on the appropriate use of social networking sites, there was limited research on the use of social networking policies within nursing education. The purpose of this study was to identify current use of social media by faculty and students and a need for policies within nursing education at one institution. A survey was developed and administered to nursing students (n = 273) and nursing faculty (n = 33). Inferential statistics included χ², Fisher exact test, t test, and General Linear Model. Cronbach's α was used to assess internal consistency of social media scales. The χ² result indicates that there were associations with the group and several social media items. t Test results indicate significant differences between student and faculty for average of policies are good (P = .0127), policies and discipline (P = .0315), and policy at the study school (P = .0013). General Linear Model analyses revealed significant differences for "friend" a patient with a bond, unprofessional posts, policy, and nursing with class level. Results showed that students and faculty supported the development of a social networking policy.

Working conditions that contribute to absenteeism among nurses in a provincial hospital in the Limpopo Province.

PubMed

Nyathi, M; Jooste, K

2008-03-01

Absenteeism results in an increased workload for nurses who stand in for colleagues and can lead to situations in which a lack of motivation among nurses and a lowering of the quality of patient care may occur. The researcher observed that certain conditions, such as inflexible working schedules, were given as reasons for the absenteeism in units in a provincial hospital. A non-experimental, descriptive, quantitative study was undertaken. The purpose of the article was to describe the working conditions that contribute to absenteeism among the professional and sub-professional nurses at a provincial hospital in the Limpopo province of South Africa. The sample included 107 professional nurses and 163 sub-professional nurses who voluntarily agreed to participate in the study. A questionnaire was used to collect data, which was analysed by using descriptive and inferential statistics. The findings of this study indicated that personal and managerial characteristics, and organisational and working conditions may lead to absenteeism in the workplace. This article focuses on the working conditions that are constraints, namely inadequate group cohesion, inadequate delegation of autonomy, role ambiguity, ineffective routinisation and the effect of the workload in the workplace. Recommendations are made for improving working conditions to combat absenteeism among nurses. The limitations of this study are highlighted.

Pharmacy students in private institutions of higher education: motivating factors when studying pharmacy and influences on university choice.

PubMed

Loo, Jason S E; Lim, Shiao Wei; Ng, Yew Keong; Tiong, John J L

2017-12-01

To identify factors influencing the decisions of Malaysian first-year pharmacy undergraduate students in private higher education when choosing to pursue a degree in pharmacy as well as their choice of private university. This cross-sectional study employed a validated, self-administered questionnaire which was administered to 543 first-year pharmacy students from nine different private universities. Factor analysis was utilised to extract key factors from the responses. Descriptive and inferential statistics were used to analyse the data. Eight factors motivating students' decision to study pharmacy emerged from the responses, accounting for 63.8% of the variance observed. Students were primarily motivated by intrinsic interests, with work conditions and profession attributes also exerting significant influence. In terms of choice of private university, nine factors were identified, accounting for 73.8% of the variance observed. The image of the school and university were most influential factors in this context, followed by university safety, programme attributes and financial factors. First-year pharmacy students in the private higher education sector are motivated by intrinsic interest when choosing to study pharmacy over other courses, while their choice of private university is influenced primarily by the image of the school and university. © 2017 Royal Pharmaceutical Society.

Men's Sheds function and philosophy: towards a framework for future research and men's health promotion.

PubMed

Wilson, Nathan J; Cordier, Reinie; Doma, Kenji; Misan, Gary; Vaz, Sharmila

2015-08-01

The Men's Shed movement supports a range of men's health promotion initiatives. This paper examines whether a Men's Shed typology could inform future research and enable more efficient and targeted health promotion activities through Men's Sheds. The International Men's Shed Survey consisted of a cross-sectional exploration of sheds, their members, and health and social activities. Survey data about shed 'function' and 'philosophy' were analysed using descriptive and inferential statistics. A framework of Men's Sheds based on function and philosophy demonstrated that most sheds serve a primary utility function, a secondary social function, but most importantly a primary social opportunity philosophy. Sheds with a primary health philosophy participated in fewer health promotion activities when compared with sheds without a primary health philosophy. In addition to the uniform health promotion resources distributed by the Men's Shed associations, specific health promotion activities, such as prostate education, are being initiated from an individual shed level. This framework can potentially be used to enable future research and health promotion activities to be more efficiently and effectively targeted. SO WHAT? Men experience poorer health and well being outcomes than women. This framework offers a novel approach to providing targeted health promotion activities to men in an environment where it is okay to talk about men's health.

[Therapy of organic brain syndrome with nicergoline given once a day].

PubMed

Ladurner, G; Erhart, P; Erhart, C; Scheiber, V

1991-01-01

In a double-blind, active-controlled study 30 patients with mild to moderate multiinfarct dementia diagnosed according to DSM III definition were treated by either 20 mg nicergoline or 4.5 mg co-dergocrine mesilate once daily during eight weeks. Therapeutic effects on symptoms of the organic brain syndrome were quantitatively measured by standardized psychological and psychometric methods evaluating cognitive and thymopsychic functions. Main criteria, which were tested by inferential analysis, were SCAG total score (Sandoz Clinical Assessment Geriatric Scale), SCAG overall impression and the AD Test (alphabetischer Durchstreichtest). Other results were assessed by descriptive statistics. Both treatments resulted in a statistically significant improvement in most of the tested functions. The effects of 4.5 mg co-dergocrine mesilate s.i.d. were in accordance with published results. Although differing slightly with respect to individual results 20 mg of nicergoline once daily showed the same efficacy on the whole.

A statistical approach based on accumulated degree-days to predict decomposition-related processes in forensic studies.

PubMed

Michaud, Jean-Philippe; Moreau, Gaétan

2011-01-01

Using pig carcasses exposed over 3 years in rural fields during spring, summer, and fall, we studied the relationship between decomposition stages and degree-day accumulation (i) to verify the predictability of the decomposition stages used in forensic entomology to document carcass decomposition and (ii) to build a degree-day accumulation model applicable to various decomposition-related processes. Results indicate that the decomposition stages can be predicted with accuracy from temperature records and that a reliable degree-day index can be developed to study decomposition-related processes. The development of degree-day indices opens new doors for researchers and allows for the application of inferential tools unaffected by climatic variability, as well as for the inclusion of statistics in a science that is primarily descriptive and in need of validation methods in courtroom proceedings. © 2010 American Academy of Forensic Sciences.

Inferential reasoning and egg rejection in a cooperatively breeding cuckoo.

PubMed

Riehl, Christina; Strong, Meghan J; Edwards, Scott V

2015-01-01

Inferential reasoning-associating a visible consequence with an imagined event-has been demonstrated in several bird species in captivity, but few studies have tested wild birds in ecologically relevant contexts. Here, we investigate inferential reasoning by the greater ani, a cooperatively breeding cuckoo in which several females lay eggs in one nest. Prior to laying her first egg, each female removes any eggs that have already been laid by other females in the shared nest. After laying her first egg, however, each female stops removing eggs, presumably in order to avoid accidentally rejecting her own. But are anis using inferential reasoning to track the fate of their eggs in the communal nest, or is egg ejection governed by non-cognitive determinants? We experimentally removed eggs from two-female nests after both females had laid at least one egg and used video recording to verify that both females viewed the empty nest. We waited until one female (A) laid an egg in the nest, and video recorded the behavior of the female that had not yet re-laid (B). We predicted that if capable of inferential reasoning, female B should infer that the new egg could not be her own and she should remove it. Five out of five females tested failed to make this inference, suggesting that egg removal is either determined by the female's reproductive status or by the amount of time elapsed between egg removal and re-laying. This apparent cognitive constraint may have implications for the evolutionary stability of the anis' unusual breeding system.

An experimental re-examination of the inferential confusion hypothesis of obsessive-compulsive doubt.

PubMed

Gangemi, Amelia; Mancini, Francesco; Dar, Reuven

2015-09-01

The inferential confusion hypothesis postulates that obsessive doubt is perpetuated by a subjective form of reasoning characterized primarily by a distrust of reality and an overreliance on imagined possibilities. However, experimental evidence for this hypothesis may be compromised by a potential confound between type of information (reality vs. possibility) and its valence (danger vs. safety). In the present study we aimed to untangle this potential confound. Forty OCD and 40 non-clinical participants underwent two versions of the Inferential Processes Task (Aardema, F., et al. (2009). The quantification of doubt in obsessive-compulsive disorder. International Journal of Cognitive Therapy, 2, 188-205). In the original version, the reality-based information is congruent with the safety hypothesis, whereas the possibility-based information is congruent with the danger hypothesis. In the modified version incorporated in the present study, the reality-based information is congruent with the danger hypothesis, whereas the possibility-based information is congruent with the safety hypothesis. Our findings did not support the inferential confusion hypothesis: both OCD and control participants changed their estimations of the probability of unwanted events based on the type of information they received (whether it conveyed danger or safety) regardless of whether it was framed as reality or possibility. The design of the present study does not lend itself to examining alternative explanations for the persistence of doubt in OCD. The hypothesized inferential confusion in OCD requires further validation. It is particularly important to demonstrate that findings do not reflect a prudential reasoning strategy. Copyright © 2015 Elsevier Ltd. All rights reserved.

Methodologies for measuring travelers' risk perception of infectious diseases: A systematic review.

PubMed

Sridhar, Shruti; Régner, Isabelle; Brouqui, Philippe; Gautret, Philippe

2016-01-01

Numerous studies in the past have stressed the importance of travelers' psychology and perception in the implementation of preventive measures. The aim of this systematic review was to identify the methodologies used in studies reporting on travelers' risk perception of infectious diseases. A systematic search for relevant literature was conducted according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. There were 39 studies identified. In 35 of 39 studies, the methodology used was that of a knowledge, attitude and practice (KAP) survey based on questionnaires. One study used a combination of questionnaires and a visual psychometric measuring instrument called the 'pictorial representation of illness and self-measurement" or PRISM. One study used a self-representation model (SRM) method. Two studies measured psychosocial factors. Valuable information was obtained from KAP surveys showing an overall lack of knowledge among travelers about the most frequent travel-associated infections and associated preventive measures. This methodological approach however, is mainly descriptive, addressing knowledge, attitudes, and practices separately and lacking an examination of the interrelationships between these three components. Another limitation of the KAP method is underestimating psychosocial variables that have proved influential in health related behaviors, including perceived benefits and costs of preventive measures, perceived social pressure, perceived personal control, unrealistic optimism and risk propensity. Future risk perception studies in travel medicine should consider psychosocial variables with inferential and multivariate statistical analyses. The use of implicit measurements of attitudes could also provide new insights in the field of travelers' risk perception of travel-associated infectious diseases. Copyright © 2016 Elsevier Ltd. All rights reserved.

Inferential comprehension of 3-6 year olds within the context of story grammar: a scoping review.

PubMed

Filiatrault-Veilleux, Paméla; Bouchard, Caroline; Trudeau, Natacha; Desmarais, Chantal

2015-01-01

The ability to make inferences plays a crucial role in reading comprehension and the educational success of school-aged children. However, it starts to unfold much earlier than school entry and literacy. Given that it is likely to be targeted in speech language therapy, it would be useful for clinicians to have access to information about a developmental sequence of inferential comprehension. Yet, at this time, there is no clear proposition of the way in which this ability develops in young children prior to school entry. To reduce the knowledge gap with regards to inferential comprehension in young children by conducting a scoping review of the literature. The two objectives of this research are: (1) to describe typically developing children's comprehension of causal inferences targeting elements of story grammar, with the goal of proposing milestones in the development of this ability; and (2) to highlight key elements of the methodology used to gather this information in a paediatric population. A total of 16 studies from six databases that met the inclusion criteria were qualitatively analysed in the context of a scoping review. This methodological approach was used to identify common themes and gaps in the knowledge base to achieve the intended objectives. Results permit the description of key elements in the development of six types of causal inference targeting elements of story grammar in children between 3 and 6 years old. Results also demonstrate the various methods used to assess this ability in young children and highlight particularly interesting procedures for use with this younger population. These findings point to the need for additional studies to understand this ability better and to develop strategies to stimulate an evidence-based developmental sequence in children from an early age. © 2015 The Authors. International Journal of Language & Communication Disorders published by John Wiley & Sons Ltd on behalf of Royal College of Speech and Language Therapists.

Sixth-grade students' reasoning on the order relation of integers as influenced by prior experience: an inferentialist analysis

NASA Astrophysics Data System (ADS)

Schindler, Maike; Hußmann, Stephan; Nilsson, Per; Bakker, Arthur

2017-12-01

Negative numbers are among the first formalizations students encounter in their mathematics learning that clearly differ from out-of-school experiences. What has not sufficiently been addressed in previous research is the question of how students draw on their prior experiences when reasoning on negative numbers and how they infer from these experiences. This article presents results from an empirical study investigating sixth-grade students' reasoning and inferring from school-based and out-of-school experiences. In particular, it addresses the order relation, which deals with students' very first encounters with negative numbers. Here, students can reason in different ways, depending on the experiences they draw on. We study how students reason before a lesson series and how their reasoning is influenced through this lesson series where the number line and the context debts-and-assets are predominant. For grasping the reasoning's inferential and social nature and conducting in-depth analyses of two students' reasoning, we use an epistemological framework that is based on the philosophical theory of inferentialism. The results illustrate how the students infer their reasoning from out-of-school and from school-based experiences both before and after the lesson series. They reveal interesting phenomena not previously analyzed in the research on the order relation for integers.

Random-effects meta-analysis: the number of studies matters.

PubMed

Guolo, Annamaria; Varin, Cristiano

2017-06-01

This paper investigates the impact of the number of studies on meta-analysis and meta-regression within the random-effects model framework. It is frequently neglected that inference in random-effects models requires a substantial number of studies included in meta-analysis to guarantee reliable conclusions. Several authors warn about the risk of inaccurate results of the traditional DerSimonian and Laird approach especially in the common case of meta-analysis involving a limited number of studies. This paper presents a selection of likelihood and non-likelihood methods for inference in meta-analysis proposed to overcome the limitations of the DerSimonian and Laird procedure, with a focus on the effect of the number of studies. The applicability and the performance of the methods are investigated in terms of Type I error rates and empirical power to detect effects, according to scenarios of practical interest. Simulation studies and applications to real meta-analyses highlight that it is not possible to identify an approach uniformly superior to alternatives. The overall recommendation is to avoid the DerSimonian and Laird method when the number of meta-analysis studies is modest and prefer a more comprehensive procedure that compares alternative inferential approaches. R code for meta-analysis according to all of the inferential methods examined in the paper is provided.

Inferential ecosystem models, from network data to prediction

Treesearch

James S. Clark; Pankaj Agarwal; David M. Bell; Paul G. Flikkema; Alan Gelfand; Xuanlong Nguyen; Eric Ward; Jun Yang

2011-01-01

Recent developments suggest that predictive modeling could begin to play a larger role not only for data analysis, but also for data collection. We address the example of efficient wireless sensor networks, where inferential ecosystem models can be used to weigh the value of an observation against the cost of data collection. Transmission costs make observations ‘‘...

The Effect of Classroom Performance Assessment on EFL Students' Basic and Inferential Reading Skills

ERIC Educational Resources Information Center

El-Koumy, Abdel Salam Abdel Khalek

2009-01-01

The purpose of this study was to investigate the effect of classroom performance assessment on the EFL students' basic and inferential reading skills. A pretest-posttest quasi-experimental design was employed in the study. The subjects of the study consisted of 64 first-year secondary school students in Menouf Secondary School for Boys at Menoufya…

The Effects of Pictorial Aids on Inferentially-produced Interference in Younger and Older Children's Sentence Learning.

ERIC Educational Resources Information Center

Truman, Diane L.

As part of a series of studies dealing with varieties of interference in sentence learning as assessed by multiple choice tests, a study was undertaken to explore the effects of pictures on inferentially produced interference in recognition memory for sentence information. The subjects were 104 first grade students and 104 fourth, fifth, and sixth…

Writing-Reading Relationships: Effectiveness of Writing Activities as Pre-Reading Tasks to Enhance L2 Inferential Reading Comprehension

ERIC Educational Resources Information Center

Wickramaarachchi, Thilina Indrajie

2014-01-01

The study examines the interaction between reading and writing processes in general and more specifically the impact of pre-reading tasks incorporating writing tasks (referred to as "prw tasks") in helping the development of inferential reading comprehension. A sample of 70 first year ESL students of the University of Kelaniya were…

Inferential Ability in Children with Cerebral Palsy, Spina Bifida and Pragmatic Language Impairment

ERIC Educational Resources Information Center

Holck, Pernille; Sandberg, Annika Dahlgren; Nettelbladt, Ulrika

2010-01-01

The aim of the study was to investigate and compare the ability to make inferences in three groups of children ranging from 5;2 to 10;9 years: 10 children with cerebral palsy (CP), 10 children with spina bifida and hydrocephalus (SBH) and 10 children with pragmatic language impairment (PLI). The relationship between inferential and literal…

Cognitive mechanisms for inferring the meaning of novel signals during symbolisation

PubMed Central

2018-01-01

As participants repeatedly interact using graphical signals (as in a game of Pictionary), the signals gradually shift from being iconic (or motivated) to being symbolic (or arbitrary). The aim here is to test experimentally whether this change in the form of the signal implies a concomitant shift in the inferential mechanisms needed to understand it. The results show that, during early, iconic stages, there is more reliance on creative inferential processes associated with insight problem solving, and that the recruitment of these cognitive mechanisms decreases over time. The variation in inferential mechanism is not predicted by the sign’s visual complexity or iconicity, but by its familiarity, and by the complexity of the relevant mental representations. The discussion explores implications for pragmatics, language evolution, and iconicity research. PMID:29337998

Potential errors and misuse of statistics in studies on leakage in endodontics.

PubMed

Lucena, C; Lopez, J M; Pulgar, R; Abalos, C; Valderrama, M J

2013-04-01

To assess the quality of the statistical methodology used in studies of leakage in Endodontics, and to compare the results found using appropriate versus inappropriate inferential statistical methods. The search strategy used the descriptors 'root filling' 'microleakage', 'dye penetration', 'dye leakage', 'polymicrobial leakage' and 'fluid filtration' for the time interval 2001-2010 in journals within the categories 'Dentistry, Oral Surgery and Medicine' and 'Materials Science, Biomaterials' of the Journal Citation Report. All retrieved articles were reviewed to find potential pitfalls in statistical methodology that may be encountered during study design, data management or data analysis. The database included 209 papers. In all the studies reviewed, the statistical methods used were appropriate for the category attributed to the outcome variable, but in 41% of the cases, the chi-square test or parametric methods were inappropriately selected subsequently. In 2% of the papers, no statistical test was used. In 99% of cases, a statistically 'significant' or 'not significant' effect was reported as a main finding, whilst only 1% also presented an estimation of the magnitude of the effect. When the appropriate statistical methods were applied in the studies with originally inappropriate data analysis, the conclusions changed in 19% of the cases. Statistical deficiencies in leakage studies may affect their results and interpretation and might be one of the reasons for the poor agreement amongst the reported findings. Therefore, more effort should be made to standardize statistical methodology. © 2012 International Endodontic Journal.

Analysis of Statistical Methods and Errors in the Articles Published in the Korean Journal of Pain

PubMed Central

Yim, Kyoung Hoon; Han, Kyoung Ah; Park, Soo Young

2010-01-01

Background Statistical analysis is essential in regard to obtaining objective reliability for medical research. However, medical researchers do not have enough statistical knowledge to properly analyze their study data. To help understand and potentially alleviate this problem, we have analyzed the statistical methods and errors of articles published in the Korean Journal of Pain (KJP), with the intention to improve the statistical quality of the journal. Methods All the articles, except case reports and editorials, published from 2004 to 2008 in the KJP were reviewed. The types of applied statistical methods and errors in the articles were evaluated. Results One hundred and thirty-nine original articles were reviewed. Inferential statistics and descriptive statistics were used in 119 papers and 20 papers, respectively. Only 20.9% of the papers were free from statistical errors. The most commonly adopted statistical method was the t-test (21.0%) followed by the chi-square test (15.9%). Errors of omission were encountered 101 times in 70 papers. Among the errors of omission, "no statistics used even though statistical methods were required" was the most common (40.6%). The errors of commission were encountered 165 times in 86 papers, among which "parametric inference for nonparametric data" was the most common (33.9%). Conclusions We found various types of statistical errors in the articles published in the KJP. This suggests that meticulous attention should be given not only in the applying statistical procedures but also in the reviewing process to improve the value of the article. PMID:20552071

The Cost of Thinking about False Beliefs: Evidence from Adults' Performance on a Non-Inferential Theory of Mind Task

ERIC Educational Resources Information Center

Apperly, Ian A.; Back, Elisa; Samson, Dana; France, Lisa

2008-01-01

Much of what we know about other people's beliefs comes non-inferentially from what people tell us. Developmental research suggests that 3-year-olds have difficulty processing such information: they suffer interference from their own knowledge of reality when told about someone's false belief (e.g., [Wellman, H. M., & Bartsch, K. (1988). Young…

Headmaster Instructional Leadership and Organizational Learning on the Quality of Madrasah and the Quality of Graduates the State Madrasah Aliyah at Jakarta Capital Region

ERIC Educational Resources Information Center

Rosmaniar, Widhyanti; Marzuki, Shahril Charil bin Hj.

2016-01-01

The purpose of this study is to look closely at how aspects of instructional leadership, and organizational learning affect the quality of madrasah in improving the quality of graduate the state madrasah aliyah. The experiment was conducted using a quantitative approach with descriptive and inferential methods, in inferential methods used…

The trend of changes in the evaluation scores of faculty members from administrators' and students' perspectives at the medical school over 10 years.

PubMed

Yamani, Nikoo; Changiz, Tahereh; Feizi, Awat; Kamali, Farahnaz

2018-01-01

To assess the trend of changes in the evaluation scores of faculty members and discrepancy between administrators' and students' perspectives in a medical school from 2006 to 2015. This repeated cross-sectional study was conducted on the 10-year evaluation scores of all faculty members of a medical school (n=579) in an urban area of Iran. Data on evaluation scores given by students and administrators and the total of these scores were evaluated. Data were analyzed using descriptive and inferential statistics including linear mixed effect models for repeated measures via the SPSS software. There were statistically significant differences between the students' and administrators' perspectives over time ( p <0.001). The mean of the total evaluation scores also showed a statistically significant change over time ( p <0.001). Furthermore, the mean of changes over time in the total evaluation score between different departments was statistically significant ( p <0.001). The trend of changes in the student's evaluations was clear and positive, but the trend of administrators' evaluation was unclear. Since the evaluation of faculty members is affected by many other factors, there is a need for more future studies.

Effect of a stress management program on subjects with neck pain: A pilot randomized controlled trial.

PubMed

Metikaridis, T Damianos; Hadjipavlou, Alexander; Artemiadis, Artemios; Chrousos, George; Darviri, Christina

2016-05-20

Studies have shown that stress is implicated in the cause of neck pain (NP). The purpose of this study is to examine the effect of a simple, zero cost stress management program on patients suffering from NP. This study is a parallel-type randomized clinical study. People suffering from chronic non-specific NP were chosen randomly to participate in an eight week duration program of stress management (N= 28) (including diaphragmatic breathing, progressive muscle relaxation) or in a no intervention control condition (N= 25). Self-report measures were used for the evaluation of various variables at the beginning and at the end of the eight-week monitoring period. Descriptive and inferential statistic methods were used for the statistical analysis. At the end of the monitoring period, the intervention group showed a statistically significant reduction of stress and anxiety (p= 0.03, p= 0.01), report of stress related symptoms (p= 0.003), percentage of disability due to NP (p= 0.000) and NP intensity (p= 0.002). At the same time, daily routine satisfaction levels were elevated (p= 0.019). No statistically significant difference was observed in cortisol measurements. Stress management has positive effects on NP patients.

Spatio-temporal Dynamics of Referential and Inferential Naming: Different Brain and Cognitive Operations to Lexical Selection.

PubMed

Fargier, Raphaël; Laganaro, Marina

2017-03-01

Picture naming tasks are largely used to elicit the production of specific words and sentences in psycholinguistic and neuroimaging research. However, the generation of lexical concepts from a visual input is clearly not the exclusive way speech production is triggered. In inferential speech encoding, the concept is not provided from a visual input, but is elaborated though semantic and/or episodic associations. It is therefore likely that the cognitive operations leading to lexical selection and word encoding are different in inferential and referential expressive language. In particular, in picture naming lexical selection might ensue from a simple association between a perceptual visual representation and a word with minimal semantic processes, whereas richer semantic associations are involved in lexical retrieval in inferential situations. Here we address this hypothesis by analyzing ERP correlates during word production in a referential and an inferential task. The participants produced the same words elicited from pictures or from short written definitions. The two tasks displayed similar electrophysiological patterns only in the time-period preceding the verbal response. In the stimulus-locked ERPs waveform amplitudes and periods of stable global electrophysiological patterns differed across tasks after the P100 component and until 400-500 ms, suggesting the involvement of different, task-specific neural networks. Based on the analysis of the time-windows affected by specific semantic and lexical variables in each task, we conclude that lexical selection is underpinned by a different set of conceptual and brain processes, with semantic processes clearly preceding word retrieval in naming from definition whereas the semantic information is enriched in parallel with word retrieval in picture naming.

Frequency of use, awareness, and attitudes toward side effects of anabolic-androgenic steroids consumption among male medical students in Iran.

PubMed

Fayyazi Bordbar, Mohammad Reza; Abdollahian, Ebrahim; Samadi, Roya; Dolatabadi, Hamid

2014-11-01

This study was conducted to determine the frequency of anabolic-androgenic steroids consumption in male students studying at the university and their awareness, attitude, and role of sports activities; the present descriptive study was conducted on 271 volunteers in 2008. The data collected by self-report questionnaires was analyzed by descriptive inferential statistics. The prevalence of consumption was 3.3%, and it was significantly higher in those with a history of bodybuilding or athletic performance. The overall awareness rate was low, and the attitude was too optimistic. It seems that unawareness, incorrect attitude, and history of athletic performance increases the risk of consumption.

Circadian rhythmometry of mammalian radiosensitivity

NASA Technical Reports Server (NTRS)

Haus, E.; Halberg, F.; Loken, M. K.; Kim, Y. S.

1974-01-01

In the case of human bone marrow, the largest number of mitoses is seen in the evening in diurnally active men, mitotic activity being at a minimum in the morning. The opposite pattern is observed for nocturnal animals such as rats and mice on a regimen of light during the daytime alternating with darkness during the night hours. The entirety of these rhythms plays an important role in the organism's responses to environmental stimuli, including its resistance to potentially harmful agents. Conditions under which circadian rhythms can be observed and validated by inferential statistical means are discussed while emphasizing how artifacts of the laboratory environment can be shown to obscure circadian periodic variations in radiosensitivity.

Associations of Immigration Transition to Cardiovascular Symptoms Experienced in Menopausal Transition.

PubMed

Im, Eun-Ok; Ko, Young; Chee, Eunice; Chee, Wonshik

The purpose of this study was to explore the associations of immigration transition to cardiovascular symptoms among 4 major racial/ethnic groups of 1054 midlife women in the United States. This was a secondary analysis of the data from 2 large national survey studies. The instruments included questions on background characteristics and immigration transition and the Cardiovascular Symptom Index for Midlife Women. The data were analyzed using inferential statistics including hierarchical multiple regressions. Immigrants reported fewer numbers (t = 5.268, P < .01) and lower severity scores (t = 5.493, P < .01) of cardiovascular symptoms compared with nonimmigrants. Self-reported racial/ethnic identify was a significant factor influencing cardiovascular symptoms (P < .01).

Immigration Transition and Depressive Symptoms: Four Major Ethnic Groups of Midlife Women in the U.S

PubMed Central

Im, Eun-Ok; Rendell Endowed, Marjorie O.; Chang, Sun Ju; Chee, Wonshik; Chee, Eunice; Mao, Jun

2015-01-01

Our purpose of this study was to explore the relationships between immigration transition and depressive symptoms among 1,054 midlife women in the U.S. This was a secondary analysis of the data from two national Internet survey studies. Questions on background characteristics and immigration transition and the Depression Index for Midlife Women were used to collect the data. The data were analyzed using inferential statistics including multiple regressions. Immigrants reported lower numbers of and less severe symptoms than non-immigrants (p < .01). When controlling for background characteristics, self-reported racial/ethnic identity and immigration status were significant predictors of depressive symptoms (R2=.01, p<.05). PMID:24875592

Brain Evolution and Human Neuropsychology: The Inferential Brain Hypothesis

PubMed Central

Koscik, Timothy R.; Tranel, Daniel

2013-01-01

Collaboration between human neuropsychology and comparative neuroscience has generated invaluable contributions to our understanding of human brain evolution and function. Further cross-talk between these disciplines has the potential to continue to revolutionize these fields. Modern neuroimaging methods could be applied in a comparative context, yielding exciting new data with the potential of providing insight into brain evolution. Conversely, incorporating an evolutionary base into the theoretical perspectives from which we approach human neuropsychology could lead to novel hypotheses and testable predictions. In the spirit of these objectives, we present here a new theoretical proposal, the Inferential Brain Hypothesis, whereby the human brain is thought to be characterized by a shift from perceptual processing to inferential computation, particularly within the social realm. This shift is believed to be a driving force for the evolution of the large human cortex. PMID:22459075

Razonamiento de Estudiantes Universitarios sobre Variabilidad e Intervalos de Confianza en un Contexto Inferencial Informal = University Students' Reasoning on Variability and Confidence Intervals in Inferential Informal Context

ERIC Educational Resources Information Center

Inzunsa Cazares, Santiago

2016-01-01

This article presents the results of a qualitative research with a group of 15 university students of social sciences on informal inferential reasoning developed in a computer environment on concepts involved in the confidence intervals. The results indicate that students developed a correct reasoning about sampling variability and visualized…

Investigating action understanding: inferential processes versus action simulation.

PubMed

Brass, Marcel; Schmitt, Ruth M; Spengler, Stephanie; Gergely, György

2007-12-18

In our daily life, we continuously monitor others' behaviors and interpret them in terms of goals, intentions, and reasons. Despite their central importance for predicting and interpreting each other's actions, the functional mechanisms and neural circuits involved in action understanding remain highly controversial. Two alternative accounts have been advanced. Simulation theory assumes that we understand actions by simulating the observed behavior through a direct matching process that activates the mirror-neuron circuit. The alternative interpretive account assumes that action understanding is based on specialized inferential processes activating brain areas with no mirror properties. Although both approaches recognize the central role of contextual information in specifying action intentions, their respective accounts of this process differ in significant respects. Here, we investigated the role of context in action understanding by using functional brain imaging while participants observed an unusual action in implausible versus plausible contexts. We show that brain areas that are part of a network involved in inferential interpretive processes of rationalization and mentalization but that lack mirror properties are more active when the action occurs in an implausible context. However, no differential activation was found in the mirror network. Our findings support the assumption that action understanding in novel situations is primarily mediated by an inferential interpretive system rather than the mirror system.

The Adolescent's Competency for Interacting with Alcohol as a Determinant of Intake: The Role of Self-Regulation.

PubMed

de la Fuente, Jesús; Cubero, Inmaculada; Sánchez-Amate, Mari Carmen; Peralta, Francisco J; Garzón, Angélica; Fiz Pérez, Javier

2017-01-01

The competency for interacting with alcohol is a highly useful Educational Psychology model for preventing and for understanding the different behavioral levels of this interaction. Knowledge of facts, concepts and principles about alcohol use, self-regulated behavior, and attitudes toward alcohol are predictive of adequate interaction with alcohol. The objective of this study was to empirically evaluate this postulated relationship. A total of 328 Spanish adolescents participated, between the ages of 12 and 17. All were enrolled in 1st-4th year of compulsory secondary education, in the context of the ALADO Program for prevention of alcohol intake in adolescents. An ex post facto design was used, with inferential analyses and SEM analyses. Results show an interdependence relationship, with significant structural prediction between the behavioral levels defined and the level of alcohol intake, with principles, self-regulating control and attitudes carrying more weight. Analyses are presented, as are implications for psychoeducational intervention using preventive programs based on this competency model.

The Adolescent's Competency for Interacting with Alcohol as a Determinant of Intake: The Role of Self-Regulation

PubMed Central

de la Fuente, Jesús; Cubero, Inmaculada; Sánchez-Amate, Mari Carmen; Peralta, Francisco J.; Garzón, Angélica; Fiz Pérez, Javier

2017-01-01

The competency for interacting with alcohol is a highly useful Educational Psychology model for preventing and for understanding the different behavioral levels of this interaction. Knowledge of facts, concepts and principles about alcohol use, self-regulated behavior, and attitudes toward alcohol are predictive of adequate interaction with alcohol. The objective of this study was to empirically evaluate this postulated relationship. A total of 328 Spanish adolescents participated, between the ages of 12 and 17. All were enrolled in 1st–4th year of compulsory secondary education, in the context of the ALADO Program for prevention of alcohol intake in adolescents. An ex post facto design was used, with inferential analyses and SEM analyses. Results show an interdependence relationship, with significant structural prediction between the behavioral levels defined and the level of alcohol intake, with principles, self-regulating control and attitudes carrying more weight. Analyses are presented, as are implications for psychoeducational intervention using preventive programs based on this competency model. PMID:29123492

Inferential Processing among Adequate and Struggling Adolescent Comprehenders and Relations to Reading Comprehension

PubMed Central

Barth, Amy E.; Barnes, Marcia; Francis, David J.; Vaughn, Sharon; York, Mary

2015-01-01

Separate mixed model analyses of variance (ANOVA) were conducted to examine the effect of textual distance on the accuracy and speed of text consistency judgments among adequate and struggling comprehenders across grades 6–12 (n = 1203). Multiple regressions examined whether accuracy in text consistency judgments uniquely accounted for variance in comprehension. Results suggest that there is considerable growth across the middle and high school years, particularly for adequate comprehenders in those text integration processes that maintain local coherence. Accuracy in text consistency judgments accounted for significant unique variance for passage-level, but not sentence-level comprehension, particularly for adequate comprehenders. PMID:26166946

[Burnout syndrome associated factors in gynecologists].

PubMed

Palmer-Morales, Yusvisaret; Prince-Vélez, Roberto; Searcy-Bernal, Roberto

2007-07-01

To determine risk factors associated to Burnout Syndrome in medical gynecologist staff who works at the Gynecology-pediatrics with Family Medicine Hospital number 31 of the IMSS at Mexicali city, Baja California. A cross sectional study was performed in 27 gynecologists (100% of the total gynecologist that works at that particular hospital). A validated survey instrument developed by Maslach was applied to them in order to identify the presence of the syndrome and a general questionnaire including sociodemographic information was also applied to the doctors. The statistical analysis was both descriptive and inferential including chi square, Student t and logistic regression. 74.1% of the doctors who showed signs of Burnout Syndrome were males and 25.9% were females. The average doctors age of the group who developed Burnout was 44.81 +/- 6.11 years. The mean time in years of work for the doctors with the syndrome was 15.56 +/- 7.11 years. Only one doctor was divorced and she presented Burnout Syndrome, on the other hand, 62.5% of the married doctors showed evidence of Burnout Syndrome (p > 0.05). The general prevalence was 59.2%. Of those who showed signs of burnout, 87.5% presented it in low degree, 6.2% presented moderate degree, 6.2% presented high burnout degree. Out of all the organizational factors type, none resulted significative. The prevalence of the reported syndrome is apparently high when compared to the medical anesthesiology staff of the same hospital; however this difference is not statistically significative. In the unvaried and multivariate analyses, no organizational factor shows significance as a potential risk. It is necessary to consider psychological support to the affected doctors and to value the organization of the service, looking for an administrative reengineering.

Perception of economic crisis among Spanish nursing students: Its relation to burnout and engagement.

PubMed

Manzano-García, Guadalupe; Montañés, Pilar; Megías, Jesús L

2017-05-01

The high levels of indebtedness and deficit of Spain's autonomous communities as a consequence of the national and European economic crisis have caused radical changes in the Spanish National Health Service. At the present time, the economic crisis is seriously affecting nurses in several European countries, and especially in Spain. The aim of this study was to analyse whether nursing students' perceptions of economic crisis influence their levels of burnout and engagement in relation to their studies. We have also tried to clarify the relationship of sociodemographic variables (age and gender) and personal control factors (self-efficacy, locus of control and success) with these factors. This was a transversal study based on descriptive and inferential statistical analysis. Analysis of the quantitative data was performed using Statistical Package for Social Sciences, IBM 19.0 (SPSS, 2010). 166 nursing students participated in the study, comprising 142 women and 24 men studying in Schools of Nursing in the North of Spain. They completed various questionnaires to gather information on sociodemographic variables and measure burnout, engagement, locus of control, expectations of success and perceptions of threat due to the economic crisis. Higher perception of economic crisis by the students is related to higher scores for burnout and lower scores for engagement. The scores for burnout were also positively predicted by external locus of control and negatively predicted by perception of self-efficacy. The age of participants is related to lower levels of burnout and higher levels of engagement. Finally, expectation of success also positively predicted the level of engagement. The results demonstrate the importance of the perceptions of the economic crisis on the development of burnout and engagement among nursing students. Copyright © 2017 Elsevier Ltd. All rights reserved.

Factors Influencing Physical Activity Behavior among Iranian Women with Type 2 Diabetes Using the Extended Theory of Reasoned Action

PubMed Central

Didarloo, Alireza; Ardebili, Hassan Eftekhar; Niknami, Shamsaddin; Hajizadeh, Ebrahim; Alizadeh, Mohammad

2011-01-01

Background Findings of most studies indicate that the only way to control diabetes and prevent its debilitating effects is through the continuous performance of self-care behaviors. Physical activity is a non-pharmacological method of diabetes treatment and because of its positive effects on diabetic patients, it is being increasingly considered by researchers and practitioners. This study aimed at determining factors influencing physical activity among diabetic women in Iran, using the extended theory of reasoned action in Iran. Methods A sample of 352 women with type 2 diabetes, referring to a Diabetes Clinic in Khoy, Iran, participated in the study. Appropriate instruments were designed to measure the desired variables (knowledge of diabetes, personal beliefs, subjective norms, perceived self-efficacy, behavioral intention and physical activity behavior). The reliability and validity of the instruments were examined and approved. Statistical analyses of the study were conducted by inferential statistical techniques (independent t-test, correlations and regressions) using the SPSS package. Results The findings of this investigation indicated that among the constructs of the model, self efficacy was the strongest predictor of intentions among women with type 2 diabetes and both directly and indirectly affected physical activity. In addition to self efficacy, diabetic patients' physical activity also was influenced by other variables of the model and sociodemographic factors. Conclusion Our findings suggest that the high ability of the theory of reasoned action extended by self-efficacy in forecasting and explaining physical activity can be a base for educational intervention. Educational interventions based on the proposed model are necessary for improving diabetics' physical activity behavior and controlling disease. PMID:22111043

Motivators and barriers to uptake of post-operative voluntary medical male circumcision follow-up in Yala division, Siaya County, Kenya

PubMed Central

Abunah, Bonface; Onkoba, Rueben; Nyagero, Josephat; Muhula, Samuel; Omondi, Edward; Guyah, Bernard; Omondi, Gregory Barnabas

2016-01-01

Introduction Follow-up visits are recommended to all voluntary medical male circumcision clients (VMMC), however, adherence is variable. High lost-to-follow-up cases limit knowledge about clinical status of clients and adverse events. This study sought to establish Motivators and Barriers to the Uptake of VMMC post-operative follow-up services in Siaya County, Kenya. Methods 277 clients from five VMMC sites in Yala were recruited immediately post-operation to participate in a telephone interview between the 21st and 31st day post-surgery during which a semi-structured questionnaire was administered. Descriptive and inferential statistics was used to analyse quantitative information using SPSS while responses from open ended questions were grouped into themes, sieved out, coded and analyzed. Results 137(49.5%) of the 277 participants utilized the follow-up services. Health education (31.4%) and emergency reviews/adverse events (24.1%) were the main motivation for returning for follow-up while occupational and other engagements (29.7%) and presumption of healing (24.6%) were the main barriers. Type of facility attended (p=0.0173), satisfaction with the discharge process (p=0.0150) and residency in Yala (p<0.001) were statistically significant to the respondents’ return for follow-up. 85(62.0%) of the participants returned on the 7th day, 9(6.6%) returned after 7 days, and 43(31.4%) returned before 7 days. Conclusion VMMC health education should include and emphasize the benefits of follow-up care to the clients and the providers should address the barriers to accessing follow-up services. Our results will inform the programme on areas identified to improve care for VMMC clients and reduce subsequent lost-to-follow-up cases. PMID:28439331

Motivators and barriers to uptake of post-operative voluntary medical male circumcision follow-up in Yala division, Siaya County, Kenya.

PubMed

Abunah, Bonface; Onkoba, Rueben; Nyagero, Josephat; Muhula, Samuel; Omondi, Edward; Guyah, Bernard; Omondi, Gregory Barnabas

2016-01-01

Follow-up visits are recommended to all voluntary medical male circumcision clients (VMMC), however, adherence is variable. High lost-to-follow-up cases limit knowledge about clinical status of clients and adverse events. This study sought to establish Motivators and Barriers to the Uptake of VMMC post-operative follow-up services in Siaya County, Kenya. 277 clients from five VMMC sites in Yala were recruited immediately post-operation to participate in a telephone interview between the 21st and 31st day post-surgery during which a semi-structured questionnaire was administered. Descriptive and inferential statistics was used to analyse quantitative information using SPSS while responses from open ended questions were grouped into themes, sieved out, coded and analyzed. 137(49.5%) of the 277 participants utilized the follow-up services. Health education (31.4%) and emergency reviews/adverse events (24.1%) were the main motivation for returning for follow-up while occupational and other engagements (29.7%) and presumption of healing (24.6%) were the main barriers. Type of facility attended (p=0.0173), satisfaction with the discharge process (p=0.0150) and residency in Yala (p<0.001) were statistically significant to the respondents' return for follow-up. 85(62.0%) of the participants returned on the 7th day, 9(6.6%) returned after 7 days, and 43(31.4%) returned before 7 days. VMMC health education should include and emphasize the benefits of follow-up care to the clients and the providers should address the barriers to accessing follow-up services. Our results will inform the programme on areas identified to improve care for VMMC clients and reduce subsequent lost-to-follow-up cases.

Portrait of rural emergency departments in Quebec and utilisation of the Quebec Emergency Department Management Guide: a study protocol

PubMed Central

Fleet, Richard; Archambault, Patrick; Légaré, France; Chauny, Jean-Marc; Lévesque, Jean-Frédéric; Ouimet, Mathieu; Dupuis, Gilles; Haggerty, Jeannie; Poitras, Julien; Tanguay, Alain; Simard-Racine, Geneviève; Gauthier, Josée

2013-01-01

Introduction Emergency departments are important safety nets for people who live in rural areas. Moreover, a serious problem in access to healthcare services has emerged in these regions. The challenges of providing access to quality rural emergency care include recruitment and retention issues, lack of advanced imagery technology, lack of specialist support and the heavy reliance on ambulance transport over great distances. The Quebec Ministry of Health and Social Services published a new version of the Emergency Department Management Guide, a document designed to improve the emergency department management and to humanise emergency department care and services. In particular, the Guide recommends solutions to problems that plague rural emergency departments. Unfortunately, no studies have evaluated the implementation of the proposed recommendations. Methods and analysis To develop a comprehensive portrait of all rural emergency departments in Quebec, data will be gathered from databases at the Quebec Ministry of Health and Social Services, the Quebec Trauma Registry and from emergency departments and ambulance services managers. Statistics Canada data will be used to describe populations and rural regions. To evaluate the use of the 2006 Emergency Department Management Guide and the implementation of its various recommendations, an online survey and a phone interview will be administered to emergency department managers. Two online surveys will evaluate quality of work life among physicians and nurses working at rural emergency departments. Quality-of-care indicators will be collected from databases and patient medical files. Data will be analysed using statistical (descriptive and inferential) procedures. Ethics and dissemination This protocol has been approved by the CSSS Alphonse–Desjardins research ethics committee (Project MP-HDL-1213-011). The results will be published in peer-reviewed scientific journals and presented at one or more scientific conferences. PMID:23633423

Portrait of rural emergency departments in Quebec and utilisation of the Quebec Emergency Department Management Guide: a study protocol.

PubMed

Fleet, Richard; Archambault, Patrick; Légaré, France; Chauny, Jean-Marc; Lévesque, Jean-Frédéric; Ouimet, Mathieu; Dupuis, Gilles; Haggerty, Jeannie; Poitras, Julien; Tanguay, Alain; Simard-Racine, Geneviève; Gauthier, Josée

2013-01-01

Emergency departments are important safety nets for people who live in rural areas. Moreover, a serious problem in access to healthcare services has emerged in these regions. The challenges of providing access to quality rural emergency care include recruitment and retention issues, lack of advanced imagery technology, lack of specialist support and the heavy reliance on ambulance transport over great distances. The Quebec Ministry of Health and Social Services published a new version of the Emergency Department Management Guide, a document designed to improve the emergency department management and to humanise emergency department care and services. In particular, the Guide recommends solutions to problems that plague rural emergency departments. Unfortunately, no studies have evaluated the implementation of the proposed recommendations. To develop a comprehensive portrait of all rural emergency departments in Quebec, data will be gathered from databases at the Quebec Ministry of Health and Social Services, the Quebec Trauma Registry and from emergency departments and ambulance services managers. Statistics Canada data will be used to describe populations and rural regions. To evaluate the use of the 2006 Emergency Department Management Guide and the implementation of its various recommendations, an online survey and a phone interview will be administered to emergency department managers. Two online surveys will evaluate quality of work life among physicians and nurses working at rural emergency departments. Quality-of-care indicators will be collected from databases and patient medical files. Data will be analysed using statistical (descriptive and inferential) procedures. This protocol has been approved by the CSSS Alphonse-Desjardins research ethics committee (Project MP-HDL-1213-011). The results will be published in peer-reviewed scientific journals and presented at one or more scientific conferences.

Thirty-five-year climatic cycle in heliogeophysics, psychophysiology, military politics, and economics

NASA Astrophysics Data System (ADS)

Halberg, F.; Cornélissen, G.; Sothern, R. B.; Czaplicki, J.; Schwartzkopff, O.

2010-12-01

Cycles of about 35 years found in the climate by Brückner and Egeson were aligned with periodic changes in the length of the solar cycle by the Lockyers. The solar-cycle length and climate were subsequently revisited without reference to any cyclicity or those who discovered it. The descriptive statistics of Bruckner and Lockyer were repeatedly questioned and, with notable exceptions, have been forgotten. Bruckner's data, taken from his summary chart, are shown here for the first time inferentially statistically validated as nonstationary (to the point of intermittency) and, as transdisciplinary, extending from meteorology to 2556 years of international battles; to 2189 years of tree rings; to ˜900 years of northern lights; to 400 years of economics; to 173 years of military affairs; and to ˜40 years of helio-, interplanetary- and geomagnetics matching a longitudinal record by a healthy individual who self-measured his heart rate and mental functions (with a 1-min time estimation), among other variables. Space weather, mirrored in the circulation of human blood, can be tracked biologically as a dividend from self-assessed preventive health care including the automatically and ambulatory-recorded heart rate and blood pressure for detecting and treating heretofore ignored vascular variability disorders. A website providing free analyses for anyone (in exchange for their data) could serve any community with computer-savvy members and could start focusing the attention of the population at large on problems of societal as well as individual health. Space weather was found to affect the human cardiovascular system, and it has been supposed that data on space weather can be inversely assimilated from biological self-monitoring data.

Treatment compliance and challenges among tuberculosis patients across selected health facilities in Osun State Nigeria.

PubMed

Ajao, K O; Ogundun, O A; Afolabi, O T; Ojo, T O; Atiba, B P; Oguntunase, D O

2014-12-01

Tuberculosis (TB) is a major public health problem in the world and Africa has approximately one quarter of the world's cases. One of the greatest challenges facing most TB programmes is the non-compliance to TB treatment among TB patients. This study aimed at determining the challenges of management of tuberculosis (TB) across selected Osun State health facilities. The study employed a descriptive cross-sectional design. A semi-structured questionnaire was used to collect data from 102 TB patients in the health facilities. The instrument measured socio-demographic variables, patient related factors, socio-economic variables, health care system related factors to TB disease and treatment. Data were analysed and summarized using descriptive and inferential statistics. Statistical significance was placed at p < 0.05. TB patients who had no formal education (χ2 = 12.941, p < 0.05), who were smoking during treatment (χ2 = 13.194, p < 0.001), who consumed alcohol during TB treatment (χ2 = 6.371, p < 0.05) and those who were HIV positive (χ2 = 23.039, p < 0.001) significantly failed to comply with TB treatment. TB patients who waited for one hour or more at heath facilities (χ2 = 21.761, p < 0.001), who reported that TB treatment should be stopped before six month (χ2 = 9.804, p < 0.05) or when patient felt better (χ2 = 35.185, p < 0.001) and travelled for 10 km or more (χ2 = 13.610, p < 0.001) significantly failed to comply with TB treatment. This study concluded that non-compliance rate to tuberculosis treatment among TB patients in this study is high. Both health facility and patient-related factors were largely responsible.

Factors influencing health professions students' use of computers for data analysis at three Ugandan public medical schools: a cross-sectional survey.

PubMed

Munabi, Ian G; Buwembo, William; Bajunirwe, Francis; Kitara, David Lagoro; Joseph, Ruberwa; Peter, Kawungezi; Obua, Celestino; Quinn, John; Mwaka, Erisa S

2015-02-25

Effective utilization of computers and their applications in medical education and research is of paramount importance to students. The objective of this study was to determine the association between owning a computer and use of computers for research data analysis and the other factors influencing health professions students' computer use for data analysis. We conducted a cross sectional study among undergraduate health professions students at three public universities in Uganda using a self-administered questionnaire. The questionnaire was composed of questions on participant demographics, students' participation in research, computer ownership, and use of computers for data analysis. Descriptive and inferential statistics (uni-variable and multi- level logistic regression analysis) were used to analyse data. The level of significance was set at 0.05. Six hundred (600) of 668 questionnaires were completed and returned (response rate 89.8%). A majority of respondents were male (68.8%) and 75.3% reported owning computers. Overall, 63.7% of respondents reported that they had ever done computer based data analysis. The following factors were significant predictors of having ever done computer based data analysis: ownership of a computer (adj. OR 1.80, p = 0.02), recently completed course in statistics (Adj. OR 1.48, p =0.04), and participation in research (Adj. OR 2.64, p <0.01). Owning a computer, participation in research and undertaking courses in research methods influence undergraduate students' use of computers for research data analysis. Students are increasingly participating in research, and thus need to have competencies for the successful conduct of research. Medical training institutions should encourage both curricular and extra-curricular efforts to enhance research capacity in line with the modern theories of adult learning.

Analyzing thematic maps and mapping for accuracy

USGS Publications Warehouse

Rosenfield, G.H.

1982-01-01

Two problems which exist while attempting to test the accuracy of thematic maps and mapping are: (1) evaluating the accuracy of thematic content, and (2) evaluating the effects of the variables on thematic mapping. Statistical analysis techniques are applicable to both these problems and include techniques for sampling the data and determining their accuracy. In addition, techniques for hypothesis testing, or inferential statistics, are used when comparing the effects of variables. A comprehensive and valid accuracy test of a classification project, such as thematic mapping from remotely sensed data, includes the following components of statistical analysis: (1) sample design, including the sample distribution, sample size, size of the sample unit, and sampling procedure; and (2) accuracy estimation, including estimation of the variance and confidence limits. Careful consideration must be given to the minimum sample size necessary to validate the accuracy of a given. classification category. The results of an accuracy test are presented in a contingency table sometimes called a classification error matrix. Usually the rows represent the interpretation, and the columns represent the verification. The diagonal elements represent the correct classifications. The remaining elements of the rows represent errors by commission, and the remaining elements of the columns represent the errors of omission. For tests of hypothesis that compare variables, the general practice has been to use only the diagonal elements from several related classification error matrices. These data are arranged in the form of another contingency table. The columns of the table represent the different variables being compared, such as different scales of mapping. The rows represent the blocking characteristics, such as the various categories of classification. The values in the cells of the tables might be the counts of correct classification or the binomial proportions of these counts divided by either the row totals or the column totals from the original classification error matrices. In hypothesis testing, when the results of tests of multiple sample cases prove to be significant, some form of statistical test must be used to separate any results that differ significantly from the others. In the past, many analyses of the data in this error matrix were made by comparing the relative magnitudes of the percentage of correct classifications, for either individual categories, the entire map or both. More rigorous analyses have used data transformations and (or) two-way classification analysis of variance. A more sophisticated step of data analysis techniques would be to use the entire classification error matrices using the methods of discrete multivariate analysis or of multiviariate analysis of variance.

Uncovering degrees of workplace bullying: A comparison of baccalaureate nursing students' experiences during clinical placement in Australia and the UK.

PubMed

Birks, Melanie; Cant, Robyn P; Budden, Lea M; Russell-Westhead, Michele; Sinem Üzar Özçetin, Yeter; Tee, Stephen

2017-07-01

Bullying in health workplaces has a negative impact on nurses, their families, multidisciplinary teams, patient care and the profession. This paper compares the experiences of Australian and UK baccalaureate nursing students in relation to bullying and harassment during clinical placement. A secondary analysis was conducted on two primary cross-sectional studies of bullying experiences of Australian and UK nursing students. Data were collected using the Student Experience of Bullying during Clinical Placement (SEBDCP) questionnaire and analysed using descriptive and inferential statistics. The total sample was 833 Australian and 561 UK students. Australian nursing students experienced a higher rate of bullying (50.1%) than UK students (35.5%). Students identified other nurses as the main perpetrators (Aust 53%, UK 68%), although patients were the main source of physical acts of bullying. Few bullied students chose to report the episode/s. The main reason for non-reporting was fear of being victimised. Sadly, some students felt bullying and harassment was 'part of the job'. A culture of bullying in nursing persists internationally. Nursing students are vulnerable and can question their future in the 'caring' profession of nursing after experiencing and/or witnessing bullying during clinical placement. Bullying requires a zero tolerance approach. Education providers must develop clearer policies and implement procedures to protect students - the future nursing workforce. Copyright © 2017 Elsevier Ltd. All rights reserved.

Sexual dysfunction during treatment of major depressive disorder with vilazodone, citalopram, or placebo: results from a phase IV clinical trial.

PubMed

Clayton, Anita H; Gommoll, Carl; Chen, Dalei; Nunez, Rene; Mathews, Maju

2015-07-01

Sexual dysfunction commonly occurs with major depressive disorder (MDD). Vilazodone, a selective serotonin reuptake inhibitor and 5-HT1A receptor partial agonist antidepressant approved for the treatment of MDD in adults, was evaluated to determine its effects on sexual function. The primary study was a double-blind, randomized, controlled trial comparing vilazodone 20 and 40 mg/day with placebo; citalopram 40 mg/day was an active control (NCT01473381; http://www.clinicaltrials.gov). Post-hoc analyses evaluated change from baseline to week 10 on the Changes in Sexual Functioning Questionnaire (CSFQ); no inferential statistics were performed. CSFQ scores increased for women [1.2 (citalopram) to 3.0 (vilazodone 40 mg)] and men [1.2 (vilazodone 40 mg) to 3.5 (placebo)] in all treatment groups. Greater changes in CSFQ scores were seen in responders [women: 2.33 (citalopram) to 5.06 (vilazodone 40 mg); men: 2.26 (vilazodone 40 mg) to 4.35 (placebo)] versus nonresponders. CSFQ change from baseline was small for patients with normal baseline sexual function; in patients with baseline sexual dysfunction, CSFQ scores improved across groups [women: 2.35 (citalopram) to 4.52 (vilazodone 40 mg); men 2.83 (vilazodone 40 mg) to 6.43 (placebo)]. Across treatment groups, baseline sexual function improved in women and men, MDD responders, and patients with baseline sexual dysfunction.

Diagnostic proficiency and reporting of Lassa fever by physicians in Osun State of Nigeria

PubMed Central

2014-01-01

Background Lassa fever is highly contagious and commonly results in death. It is therefore necessary to diagnose and report any suspected case of Lassa fever to facilitate preventive strategies. This study assessed the preparedness of physicians in the diagnosis and reporting of Lassa fever. Methods The study design was descriptive cross-sectional. The consenting medical doctors completed a self-administered questionnaire on the diagnosis and reporting of Lassa fever. Descriptive and inferential statistics were used in data analyses. Results One hundred seventy-five physicians participated in the study. The mean age was 41.5 ± 10.9 years (range, 24–75 years). Most of the physicians were male (78.9%) and had practiced medicine ≥ 20 years (51.5%). Most of the physicians had a good knowledge regarding the diagnosis and reporting of Lassa fever; however, none of the physicians had ever diagnosed or reported a suspected case. Predictors of good knowledge include male sex, not practicing at a secondary health care level and post graduation year more than 20 years. Conclusion There is disparity in knowledge and practices of physicians regarding the diagnosis and reporting of Lassa fever. Thus, it is necessary to improve the knowledge and practices of physicians regarding the diagnosis and reporting of Lassa fever. PMID:24950705

Nursing Instructor and Students’ Perspectives on Clinical Education Apprenticeship Problems

PubMed Central

Hasanpour-Dehkordi, Ali

2016-01-01

Introduction Different problems might lead to reduction in the efficiency of nursing students’ apprenticeship education and solving those problems. Aim This study was conducted to determine nursing internship problems from the perspective of trainers and students. Materials and Methods In this descriptive cross-sectional study, 20 trainers and 43 senior students of nursing were selected using census method. A researcher-made questionnaire was used to collect data. Total internal consistency (α) of the questionnaire was 0.88 and had proper convergent validity. SPSS was used to analyse data with applying descriptive and inferential statistics. Results More than 50% considered their course relatively weak or weak in helping intern nurses to acquire comprehensive view of the nursing profession that takes a social perspective into account, skills required for the processes of nursing and instructing patients. Problems such as insufficient access to welfare and educational facilities, lack of co-operation among clinical team and scattering of internship sessions during a course were mentioned by nurses and their trainers. They believed that changes must take place in the way internship courses are carried out. Conclusion Although the internship courses seem to achieve their aim of improving students’ skills and independence in providing different nursing services to students and their trainers generally have a positive attitude towards such courses, there are still problems in effective exercise of the training. PMID:27790467

An evaluation of a pain education programme for physiotherapists in clinical practice.

PubMed

Monaghan, Jenni; Adams, Nicola; Fothergill, Melissa

2018-03-01

The present study evaluated the implementation and acceptability of a pain education programme delivered to physiotherapists in clinical practice. A pre-test/post-test design with 10 physiotherapists was employed. Descriptive and inferential statistics were used for outcome measure data. Focus groups were carried out with seven physiotherapists within 1 month post-intervention. These data were analysed using the framework approach. Ten musculoskeletal physiotherapists were recruited. It was possible to develop and deliver the intervention and this was found to be acceptable to physiotherapists within clinical practice. The study explored trends within outcome measures, and one was considered appropriate. The focus groups yielded three interlinked themes, which related to the impact of the programme: "providing a context for pain education", "influence on aspects of the patient-therapist encounter" and "logistics of the education programme in clinical practice". A pain education programme delivered to physiotherapists in clinical practice was both possible to deliver and acceptable to participants. A key strength of the programme was the applicability to real-life practice, which was valued by physiotherapists. While physiotherapists felt that pain neurophysiology education was important, they reported lacking confidence in implementing their pain neurophysiology knowledge with patients. Thus, more time is needed to focus on pain neurophysiology education, with the aim of increasing confidence with the application of this approach in clinical practice. Copyright © 2017 John Wiley & Sons, Ltd.

Identifying Non-Sustainable Courses of Action: A Prerequisite for Decision-Making in Education for Sustainable Development

NASA Astrophysics Data System (ADS)

Gresch, Helge; Bögeholz, Susanne

2013-04-01

Students are faced with a multitude of decisions as consumers and in societal debates. Because of the scarcity of resources, the destruction of ecosystems and social injustice in a globalized world, it is vital that students are able to identify non-sustainable courses of action when involved in decision-making. The application of decision-making strategies is one approach to enhancing the quality of decisions. Options that do not meet ecological, social or economic standards should be excluded using non-compensatory strategies whereas other tasks may require a complete trade-off of all the evidence, following a compensatory approach. To enhance decision-making competence, a computer-based intervention study was conducted that focused on the use of decision-making strategies. While the results of the summative evaluation are reported by Gresch et al. (International Journal of Science Education, 2011), in-depth analyses of process-related data collected during the information processing are presented in this paper to reveal insights into the mechanisms of the intervention. The quality of high school students' ( n = 120) metadecision skills when selecting a decision-making strategy was investigated using qualitative content analyses combined with inferential statistics. The results reveal that the students offered elaborate reflections on the sustainability of options. However, the characteristics that were declared non-sustainable differed among the students because societal norms and personal values were intertwined. One implication for education for sustainable development is that students are capable of reflecting on decision-making tasks and on corresponding favorable decision-making strategies at a metadecision level. From these results, we offer suggestions for improving learning environments and constructing test instruments for decision-making competence.

Parenting roles and knowledge in neonatal intensive care units: protocol of a mixed methods study

PubMed Central

Alves, Elisabete; Amorim, Mariana; Fraga, Sílvia; Barros, Henrique; Silva, Susana

2014-01-01

Introduction There is a strong focus on the translation of scientific knowledge into evidence-based practice when dealing with very preterm births. The aim is to standardise and rationalise healthcare. The incorporation of parents’ perspectives with respect to the organisation of care and technical interventions in neonatal intensive care units (NICUs) is needed. This study aims to analyse the repertoire of meanings, knowledge and emotions actualised by the parents of very preterm infants hospitalised in NICUs in the decision process regarding parental care, treatment options and uses of information sources. Methods and analysis This is a mixed-methods, observational study. The methodological strategy will rely on: (1) Ethnographic observation, carried out in a level III NICU located in the North of Portugal, during 6 months; (2) NICU-based surveys of mothers and fathers of very preterm infants born between July 2013 and June 2014 and admitted at the seven public level III NICUs of the Northern Health Region of Portugal; (3) Single and couple semistructured interviews to a subsample of mothers and fathers of very preterm infants, 4 months after birth. Inferential statistics will be used to analyse the quantitative data and content analysis, with an iterative and reflexive process and will be implemented to assess qualitative data. Ethics and dissemination The study protocol was approved by the National Data Protection Commission and the Ethics Committee of all the hospitals involved. The current project will contribute to develop resources for enriched good medical practices in the context of neonatal services through integrating insights from social sciences, public health, epidemiology and ethics. The expected dissemination actions are effective tools in designing strategies that aim to develop family-centred care and to improve medical practices in the context of neonatal services. PMID:25011994

Data exploration of social client relationship management (CRM 2.0) adoption in the Nigerian construction business.

PubMed

Ojelabi, Rapheal A; Afolabi, Adedeji O; Oyeyipo, Opeyemi O; Tunji-Olayeni, Patience F; Adewale, Bukola A

2018-06-01

Integrating social client relationship management (CRM 2.0) in the built environment can enhance the relationship between construction organizations and client towards sustaining a long and lasting collaboration. The data exploration analyzed the e-readiness of contracting and consulting construction firms in the uptake of CRM 2.0 and the barriers encountered in the adoption of the modern business tool. The targeted organizations consist of seventy five (75) construction businesses operating in Lagos State which were selected from a pool of registered contracting and consulting construction firms using random sampling technique. Descriptive statistics of the e-readiness of contracting and consulting construction firms for CRM 2.0 adoption and barriers limiting its uptake were analyzed. Also, inferential analysis using Mann-Whitney U statistical and independent sample t-test was performed on the dataset obtained. The data generated will support construction firms on the necessity to engage in client social relationship management in ensuring sustainable client relationship management in the built environment.

Notes on power of normality tests of error terms in regression models

DOE Office of Scientific and Technical Information (OSTI.GOV)

Střelec, Luboš

2015-03-10

Normality is one of the basic assumptions in applying statistical procedures. For example in linear regression most of the inferential procedures are based on the assumption of normality, i.e. the disturbance vector is assumed to be normally distributed. Failure to assess non-normality of the error terms may lead to incorrect results of usual statistical inference techniques such as t-test or F-test. Thus, error terms should be normally distributed in order to allow us to make exact inferences. As a consequence, normally distributed stochastic errors are necessary in order to make a not misleading inferences which explains a necessity and importancemore » of robust tests of normality. Therefore, the aim of this contribution is to discuss normality testing of error terms in regression models. In this contribution, we introduce the general RT class of robust tests for normality, and present and discuss the trade-off between power and robustness of selected classical and robust normality tests of error terms in regression models.« less

Integrating Spirituality into a Group Psychotherapy Program for Women Surviving from Breast Cancer

PubMed Central

Fallah, R; Golzari, M; Dastani, M; Akbari, ME

2011-01-01

Background In spite of a significant relation between spirituality and hope, happiness and life satisfaction, the effectiveness of spiritual interventions in the mentioned mental strengths has been less dealt with. The present study is conducted in order to determine the effectiveness of spiritual group intervention on the increase of hope, life satisfaction and happiness in women surviving from breast cancer. Methods Sixty women surviving from Breast Cancer were voluntarily assigned in to case and control groups, and were assessed before and after Islamic perspective spiritual intervention by spiritual experience, hope, happiness and life satisfaction questionnaires. Statistical analysis of data was performed using descriptive and inferential statistics through covariance. Results The spiritual intervention resulted in significant increase of hope, happiness and life satisfaction (P < 0.05). Conclusion Spiritual intervention appears to be a potentially beneficial intervention for increasing mental strengths among those suffering from breast cancer. Therefore, it seems necessary to consider it as an important element incomprehensive treatment, plans, and in palliative and supportive care. PMID:26328054

Evidence for social learning in wild lemurs (Lemur catta).

PubMed

Kendal, Rachel L; Custance, Deborah M; Kendal, Jeremy R; Vale, Gillian; Stoinski, Tara S; Rakotomalala, Nirina Lalaina; Rasamimanana, Hantanirina

2010-08-01

Interest in social learning has been fueled by claims of culture in wild animals. These remain controversial because alternative explanations to social learning, such as asocial learning or ecological differences, remain difficult to refute. Compared with laboratory-based research, the study of social learning in natural contexts is in its infancy. Here, for the first time, we apply two new statistical methods, option-bias analysis and network-based diffusion analysis, to data from the wild, complemented by standard inferential statistics. Contrary to common thought regarding the cognitive abilities of prosimian primates, our evidence is consistent with social learning within subgroups in the ring-tailed lemur (Lemur catta), supporting the theory of directed social learning (Coussi-Korbel & Fragaszy, 1995). We also caution that, as the toolbox for capturing social learning in natural contexts grows, care is required in ensuring that the methods employed are appropriate-in particular, regarding social dynamics among study subjects. Supplemental materials for this article may be downloaded from http://lb.psychonomic-journals.org/content/supplemental.

An evaluation of inferential procedures for adaptive clinical trial designs with pre-specified rules for modifying the sample size.

PubMed

Levin, Gregory P; Emerson, Sarah C; Emerson, Scott S

2014-09-01

Many papers have introduced adaptive clinical trial methods that allow modifications to the sample size based on interim estimates of treatment effect. There has been extensive commentary on type I error control and efficiency considerations, but little research on estimation after an adaptive hypothesis test. We evaluate the reliability and precision of different inferential procedures in the presence of an adaptive design with pre-specified rules for modifying the sampling plan. We extend group sequential orderings of the outcome space based on the stage at stopping, likelihood ratio statistic, and sample mean to the adaptive setting in order to compute median-unbiased point estimates, exact confidence intervals, and P-values uniformly distributed under the null hypothesis. The likelihood ratio ordering is found to average shorter confidence intervals and produce higher probabilities of P-values below important thresholds than alternative approaches. The bias adjusted mean demonstrates the lowest mean squared error among candidate point estimates. A conditional error-based approach in the literature has the benefit of being the only method that accommodates unplanned adaptations. We compare the performance of this and other methods in order to quantify the cost of failing to plan ahead in settings where adaptations could realistically be pre-specified at the design stage. We find the cost to be meaningful for all designs and treatment effects considered, and to be substantial for designs frequently proposed in the literature. © 2014, The International Biometric Society.

Revised associative inference paradigm confirms relational memory impairment in schizophrenia

PubMed Central

Armstrong, Kristan; Williams, Lisa E.; Heckers, Stephan

2013-01-01

Objective Patients with schizophrenia have widespread cognitive impairments, with selective deficits in relational memory. We previously reported a differential relational memory deficit in schizophrenia using the Associative Inference Paradigm (AIP), a task suggested by the Cognitive Neuroscience Treatment Research to Improve Cognition in Schizophrenia (CNTRICS) initiative to examine relational memory. However, the AIP had limited feasibility for testing in schizophrenia due to high attrition of schizophrenia patients during training. Here we developed and tested a revised version of the AIP to improve feasibility. Method 30 healthy control and 37 schizophrenia subjects received 3 study-test sessions on 3 sets of paired associates: H-F1 (house paired with face), H-F2 (same house paired with new face), and F3-F4 (two novel faces). After training, subjects were tested on the trained, non-inferential Face-Face pairs (F3-F4) and novel, inferential Face-Face pairs (F1-F2), constructed from the faces of the trained House-Face pairs. Results Schizophrenia patients were significantly more impaired on the inferential F1-F2 pairs than the non-inferential F3-F4 pairs, providing evidence for a differential relational memory deficit. Only 8 percent of schizophrenia patients were excluded from testing due to poor training performance. Conclusions The revised AIP confirmed the previous finding of a relational memory deficit in a larger and more representative sample of schizophrenia patients. PMID:22612578

Estimating effects of limiting factors with regression quantiles

USGS Publications Warehouse

Cade, B.S.; Terrell, J.W.; Schroeder, R.L.

1999-01-01

In a recent Concepts paper in Ecology, Thomson et al. emphasized that assumptions of conventional correlation and regression analyses fundamentally conflict with the ecological concept of limiting factors, and they called for new statistical procedures to address this problem. The analytical issue is that unmeasured factors may be the active limiting constraint and may induce a pattern of unequal variation in the biological response variable through an interaction with the measured factors. Consequently, changes near the maxima, rather than at the center of response distributions, are better estimates of the effects expected when the observed factor is the active limiting constraint. Regression quantiles provide estimates for linear models fit to any part of a response distribution, including near the upper bounds, and require minimal assumptions about the form of the error distribution. Regression quantiles extend the concept of one-sample quantiles to the linear model by solving an optimization problem of minimizing an asymmetric function of absolute errors. Rank-score tests for regression quantiles provide tests of hypotheses and confidence intervals for parameters in linear models with heteroscedastic errors, conditions likely to occur in models of limiting ecological relations. We used selected regression quantiles (e.g., 5th, 10th, ..., 95th) and confidence intervals to test hypotheses that parameters equal zero for estimated changes in average annual acorn biomass due to forest canopy cover of oak (Quercus spp.) and oak species diversity. Regression quantiles also were used to estimate changes in glacier lily (Erythronium grandiflorum) seedling numbers as a function of lily flower numbers, rockiness, and pocket gopher (Thomomys talpoides fossor) activity, data that motivated the query by Thomson et al. for new statistical procedures. Both example applications showed that effects of limiting factors estimated by changes in some upper regression quantile (e.g., 90-95th) were greater than if effects were estimated by changes in the means from standard linear model procedures. Estimating a range of regression quantiles (e.g., 5-95th) provides a comprehensive description of biological response patterns for exploratory and inferential analyses in observational studies of limiting factors, especially when sampling large spatial and temporal scales.

Burnout and productivity among Iranian nurses.

PubMed

Nayeri, Nahid Dehghan; Negarandeh, Reza; Vaismoradi, Mojtaba; Ahmadi, Fazlollah; Faghihzadeh, Soghrat

2009-09-01

The concept of burnout describes a number of destructive aspects in the health-care system, especially in nursing. A descriptive study was carried out in order to investigate the relationship between burnout and productivity among 200 baccalaureate nurses working in educational hospitals in Tehran, Iran. Burnout and productivity questionnaires were employed and the data were analyzed by using descriptive and inferential statistics. The results showed that emotional exhaustion and depersonalization had significant negative correlations with productivity. Also, a significant positive correlation was found between personal accomplishment and productivity. Efforts to alleviate burnout among nurses should lead to an increased quality of patient care and improved quality of work life; if not, health-care systems will pay the price for nurses' burnout through the quality of services that they offer.

What are the most important variables for Poaceae airborne pollen forecasting?

PubMed

Navares, Ricardo; Aznarte, José Luis

2017-02-01

In this paper, the problem of predicting future concentrations of airborne pollen is solved through a computational intelligence data-driven approach. The proposed method is able to identify the most important variables among those considered by other authors (mainly recent pollen concentrations and weather parameters), without any prior assumptions about the phenological relevance of the variables. Furthermore, an inferential procedure based on non-parametric hypothesis testing is presented to provide statistical evidence of the results, which are coherent to the literature and outperform previous proposals in terms of accuracy. The study is built upon Poaceae airborne pollen concentrations recorded in seven different locations across the Spanish province of Madrid. Copyright © 2016 Elsevier B.V. All rights reserved.

An introduction to medical statistics for health care professionals: Hypothesis tests and estimation.

PubMed

Thomas, Elaine

2005-01-01

This article is the second in a series of three that will give health care professionals (HCPs) a sound introduction to medical statistics (Thomas, 2004). The objective of research is to find out about the population at large. However, it is generally not possible to study the whole of the population and research questions are addressed in an appropriate study sample. The next crucial step is then to use the information from the sample of individuals to make statements about the wider population of like individuals. This procedure of drawing conclusions about the population, based on study data, is known as inferential statistics. The findings from the study give us the best estimate of what is true for the relevant population, given the sample is representative of the population. It is important to consider how accurate this best estimate is, based on a single sample, when compared to the unknown population figure. Any difference between the observed sample result and the population characteristic is termed the sampling error. This article will cover the two main forms of statistical inference (hypothesis tests and estimation) along with issues that need to be addressed when considering the implications of the study results. Copyright (c) 2005 Whurr Publishers Ltd.

The Attitude of Iranian Nurses About Do Not Resuscitate Orders

PubMed Central

Mogadasian, Sima; Abdollahzadeh, Farahnaz; Rahmani, Azad; Ferguson, Caleb; Pakanzad, Fermisk; Pakpour, Vahid; Heidarzadeh, Hamid

2014-01-01

Background: Do not resuscitate (DNR) orders are one of many challenging issues in end of life care. Previous research has not investigated Muslim nurses’ attitudes towards DNR orders. Aims: This study aims to investigate the attitude of Iranian nurses towards DNR orders and determine the role of religious sects in forming attitudes. Materials and Methods: In this descriptive-comparative study, 306 nurses from five hospitals affiliated to Tabriz University of Medical Sciences (TUOMS) in East Azerbaijan Province and three hospitals in Kurdistan province participated. Data were gathered by a survey design on attitudes on DNR orders. Data were analyzed using Statistical Package for Social Sciences (SPSS Inc., Chicago, IL) software examining descriptive and inferential statistics. Results: Participants showed their willingness to learn more about DNR orders and highlights the importance of respecting patients and their families in DNR orders. In contrast, in many key items participants reported their negative attitude towards DNR orders. There were statistical differences in two items between the attitude of Shiite and Sunni nurses. Conclusions: Iranian nurses, regardless of their religious sects, reported negative attitude towards many aspects of DNR orders. It may be possible to change the attitude of Iranian nurses towards DNR through education. PMID:24600178

The attitude of Iranian nurses about do not resuscitate orders.

PubMed

Mogadasian, Sima; Abdollahzadeh, Farahnaz; Rahmani, Azad; Ferguson, Caleb; Pakanzad, Fermisk; Pakpour, Vahid; Heidarzadeh, Hamid

2014-01-01

Do not resuscitate (DNR) orders are one of many challenging issues in end of life care. Previous research has not investigated Muslim nurses' attitudes towards DNR orders. This study aims to investigate the attitude of Iranian nurses towards DNR orders and determine the role of religious sects in forming attitudes. In this descriptive-comparative study, 306 nurses from five hospitals affiliated to Tabriz University of Medical Sciences (TUOMS) in East Azerbaijan Province and three hospitals in Kurdistan province participated. Data were gathered by a survey design on attitudes on DNR orders. Data were analyzed using Statistical Package for Social Sciences (SPSS Inc., Chicago, IL) software examining descriptive and inferential statistics. Participants showed their willingness to learn more about DNR orders and highlights the importance of respecting patients and their families in DNR orders. In contrast, in many key items participants reported their negative attitude towards DNR orders. There were statistical differences in two items between the attitude of Shiite and Sunni nurses. Iranian nurses, regardless of their religious sects, reported negative attitude towards many aspects of DNR orders. It may be possible to change the attitude of Iranian nurses towards DNR through education.

Positive events protect children from causal false memories for scripted events.

PubMed

Melinder, Annika; Toffalini, Enrico; Geccherle, Eleonora; Cornoldi, Cesare

2017-11-01

Adults produce fewer inferential false memories for scripted events when their conclusions are emotionally charged than when they are neutral, but it is not clear whether the same effect is also found in children. In the present study, we examined this issue in a sample of 132 children aged 6-12 years (mean 9 years, 3 months). Participants encoded photographs depicting six script-like events that had a positively, negatively, or a neutral valenced ending. Subsequently, true and false recognition memory of photographs related to the observed scripts was tested as a function of emotionality. Causal errors-a type of false memory thought to stem from inferential processes-were found to be affected by valence: children made fewer causal errors for positive than for neutral or negative events. Hypotheses are proposed on why adults were found protected against inferential false memories not only by positive (as for children) but also by negative endings when administered similar versions of the same paradigm.

Equivalent statistics and data interpretation.

PubMed

Francis, Gregory

2017-08-01

Recent reform efforts in psychological science have led to a plethora of choices for scientists to analyze their data. A scientist making an inference about their data must now decide whether to report a p value, summarize the data with a standardized effect size and its confidence interval, report a Bayes Factor, or use other model comparison methods. To make good choices among these options, it is necessary for researchers to understand the characteristics of the various statistics used by the different analysis frameworks. Toward that end, this paper makes two contributions. First, it shows that for the case of a two-sample t test with known sample sizes, many different summary statistics are mathematically equivalent in the sense that they are based on the very same information in the data set. When the sample sizes are known, the p value provides as much information about a data set as the confidence interval of Cohen's d or a JZS Bayes factor. Second, this equivalence means that different analysis methods differ only in their interpretation of the empirical data. At first glance, it might seem that mathematical equivalence of the statistics suggests that it does not matter much which statistic is reported, but the opposite is true because the appropriateness of a reported statistic is relative to the inference it promotes. Accordingly, scientists should choose an analysis method appropriate for their scientific investigation. A direct comparison of the different inferential frameworks provides some guidance for scientists to make good choices and improve scientific practice.

Fisher statistics for analysis of diffusion tensor directional information.

PubMed

Hutchinson, Elizabeth B; Rutecki, Paul A; Alexander, Andrew L; Sutula, Thomas P

2012-04-30

A statistical approach is presented for the quantitative analysis of diffusion tensor imaging (DTI) directional information using Fisher statistics, which were originally developed for the analysis of vectors in the field of paleomagnetism. In this framework, descriptive and inferential statistics have been formulated based on the Fisher probability density function, a spherical analogue of the normal distribution. The Fisher approach was evaluated for investigation of rat brain DTI maps to characterize tissue orientation in the corpus callosum, fornix, and hilus of the dorsal hippocampal dentate gyrus, and to compare directional properties in these regions following status epilepticus (SE) or traumatic brain injury (TBI) with values in healthy brains. Direction vectors were determined for each region of interest (ROI) for each brain sample and Fisher statistics were applied to calculate the mean direction vector and variance parameters in the corpus callosum, fornix, and dentate gyrus of normal rats and rats that experienced TBI or SE. Hypothesis testing was performed by calculation of Watson's F-statistic and associated p-value giving the likelihood that grouped observations were from the same directional distribution. In the fornix and midline corpus callosum, no directional differences were detected between groups, however in the hilus, significant (p<0.0005) differences were found that robustly confirmed observations that were suggested by visual inspection of directionally encoded color DTI maps. The Fisher approach is a potentially useful analysis tool that may extend the current capabilities of DTI investigation by providing a means of statistical comparison of tissue structural orientation. Copyright © 2012 Elsevier B.V. All rights reserved.

Use of posterior predictive checks as an inferential tool for investigating individual heterogeneity in animal population vital rates

PubMed Central

Chambert, Thierry; Rotella, Jay J; Higgs, Megan D

2014-01-01

The investigation of individual heterogeneity in vital rates has recently received growing attention among population ecologists. Individual heterogeneity in wild animal populations has been accounted for and quantified by including individually varying effects in models for mark–recapture data, but the real need for underlying individual effects to account for observed levels of individual variation has recently been questioned by the work of Tuljapurkar et al. (Ecology Letters, 12, 93, 2009) on dynamic heterogeneity. Model-selection approaches based on information criteria or Bayes factors have been used to address this question. Here, we suggest that, in addition to model-selection, model-checking methods can provide additional important insights to tackle this issue, as they allow one to evaluate a model's misfit in terms of ecologically meaningful measures. Specifically, we propose the use of posterior predictive checks to explicitly assess discrepancies between a model and the data, and we explain how to incorporate model checking into the inferential process used to assess the practical implications of ignoring individual heterogeneity. Posterior predictive checking is a straightforward and flexible approach for performing model checks in a Bayesian framework that is based on comparisons of observed data to model-generated replications of the data, where parameter uncertainty is incorporated through use of the posterior distribution. If discrepancy measures are chosen carefully and are relevant to the scientific context, posterior predictive checks can provide important information allowing for more efficient model refinement. We illustrate this approach using analyses of vital rates with long-term mark–recapture data for Weddell seals and emphasize its utility for identifying shortfalls or successes of a model at representing a biological process or pattern of interest. We show how posterior predictive checks can be used to strengthen inferences in ecological studies. We demonstrate the application of this method on analyses dealing with the question of individual reproductive heterogeneity in a population of Antarctic pinnipeds. PMID:24834335

Contribution of small and medium enterprises to economic development: Evidence from a transiting economy.

PubMed

Obi, James; Ibidunni, Ayodotun Stephen; Tolulope, Atolagbe; Olokundun, Maxwell Ayodele; Amaihian, Augusta Bosede; Borishade, Taiye Tairat; Fred, Peter

2018-06-01

The focus of this research was to present a data article on the contribution of SMEs to economic development in a transiting economy. Descriptive research design was adopted in this study. Data were obtained from 600 respondents in 60 small-scale enterprises located in different parts of the country (20 small-scale enterprises located in Lagos State, 20 in Anambra State and 20 in Kano State of Nigeria respectively). Data analysis was carried out using tables and percentages and the null hypotheses of the study was tested using chi-square ( X 2 ) inferential statistical model at 5% level of significance. The findings revealed that there is a significant relationship between the operation of small and medium-scale enterprises and economic growth in developing nations.

Women's work and symptoms during midlife: Korean immigrant women.

PubMed

Im, E O; Meleis, A I

2001-01-01

To describe how Korean immigrant women tend to describe their work experiences within their daily lives and how they relate their work to the symptoms experienced during midlife. Cross-sectional study using methodological triangulation. Using a convenience sampling method, 119 Korean immigrant women were recruited for the quantitative phase, and 21 among the 119 women were recruited for the qualitative phase. Data were collected using both questionnaires and in-depth interviews. The data were analyzed using descriptive and inferential statistics and thematic analysis. FINDINGS AND DISCUSSIONS: The symptoms that the women experienced during midlife were influenced by their work experience, which was complicated by their cultural heritage, gender issues embedded in their daily lives, and immigration transition. Complexities and diversities in women's work need to be incorporated in menopausal studies.

Symptoms experienced during menopausal transition: Korean women in South Korea and the United States.

PubMed

Im, Eun-Ok

2003-10-01

This article reports on cultural influences on symptoms experienced during menopausal transition of Korean women in South Korea and Korean immigrant women in the United States. Data from independent studies of two groups of Korean women were triangulated and analyzed using descriptive and inferential statistics. The analysis indicated that Korean women in South Korea tended to report more symptoms than Korean immigrant women in the United States. Types and severity of prevalent symptoms were also found to be different between the two groups. The findings suggest that recent introduction of menopausal industries in South Korea and contextual influences on Korean women's work and immigration in the United States would be the reason for differences. Based on the findings, implications for future research are proposed.

Burnout and occupational stress in the medical residents of Oncology, Haematology and Radiotherapy: a prevalence and predictors study in Portugal.

PubMed

Joaquim, Ana; Custódio, Sandra; Savva-Bordalo, Joana; Chacim, Sérgio; Carvalhais, Inês; Lombo, Liliana; Lopes, Heitor; Araújo, António; Gomes, Rui

2018-03-01

Burnout is a professional syndrome associated with stress caused by overwork. Our aim was to calculate the prevalence of burnout and stress on medical residents of Oncology, Haematology and Radiotherapy in Portugal, as well as to determine predictors of burnout and stress. An anonymous questionnaire was applied (n = 118). Statistical analysis consisted of a descriptive and inferential analysis. The prevalence of burnout and stress was calculated to be 45.2 and 50%, respectively. The dimensions that generated higher levels of stress were 'dealing with patients' and 'overwork'. Burnout was directly related with stress dimension 'overwork'. The prevalence of burnout in Portuguese oncological residents is high as in other European countries and in the U.S. Therefore, interventional strategies can be designed.

Beyond effective teaching: Enhancing students’ metacognitive skill through guided inquiry

NASA Astrophysics Data System (ADS)

Adnan; Bahri, Arsad

2018-01-01

This research was quasi experimental with pretest posttes non-equivalent control group design. This research aimed to compare metacognitive skill of students between tought by guided inquiry and traditional teaching. Sample of this research was the students at even semester at the first year, Department of Biology, Faculty of Mathematics and Natural Sciences, Universitas Negeri Makassar, Indonesia. The data of students’ metacognitive skill was measured by essay test. The data was analyzed by inferential statistic of ANCOVA test. The result of research showed that there was the effect of teaching model towards metacognitive skill of students. Students were tought by guided inquiry had higher metacognitive skill than tought by traditional teaching. The lecturer can use the guided inquiry model in others courses with considering the course materials and also student characteristics.

Menopausal Symptoms Among Four Major Ethnic Groups in the U.S

PubMed Central

Im, Eun-Ok; Lee, Bokim; Chee, Wonshik; Brown, Adama; Dormire, Sharon

2011-01-01

The purpose of the study was to explore ethnic differences in symptoms experienced during the menopausal transition among four major ethnic groups in the U.S. This study was done via a cross-sectional Internet survey among 512 midlife women recruited using a convenience sampling. The instruments included: questions on background characteristics, health, and menopausal status, and the Midlife Women’s Symptom Index. The data was analyzed using descriptive and inferential statistics. Significant ethnic differences in the total number and severity of the symptoms were found. The most frequently reported symptoms and predictors of the total number and severity of the symptoms differed by ethnic identity. More in-depth cultural studies are needed to understand the reasons for the ethnic differences in menopausal symptom experience. PMID:20685910

Student nurses' perceived use of NANDA-I nursing diagnoses in the community setting.

PubMed

Ogunfowokan, Adesola A; Oluwatosin, Abimbola O; Olajubu, Aanuoluwapo O; Alao, Olujide A; Faremi, Adenike F

2013-02-01

Study explored knowledge and perception of student nurses on the use of NANDA-I nursing diagnoses in the community setting. Study adopted cross-sectional design. Convenient sampling method was used to select 290 nursing students. Data analysis was by descriptive and inferential statistics. A majority (81.3%) of the participants considered NANDA-I nursing diagnoses to be useful in the community. Significant association existed in the perception and level of education of the students (χ(2) = 8.257, d.f. = 1, p= .04). Knowledge and perception of the participants about the use of NANDA-I nursing diagnoses in the community is satisfactory. Use of NANDA-I nursing diagnoses should be encouraged among community health nurses. © 2012, The Authors. International Journal of Nursing Knowledge © 2012, NANDA International.

An approach to checking case-crossover analyses based on equivalence with time-series methods.

PubMed

Lu, Yun; Symons, James Morel; Geyh, Alison S; Zeger, Scott L

2008-03-01

The case-crossover design has been increasingly applied to epidemiologic investigations of acute adverse health effects associated with ambient air pollution. The correspondence of the design to that of matched case-control studies makes it inferentially appealing for epidemiologic studies. Case-crossover analyses generally use conditional logistic regression modeling. This technique is equivalent to time-series log-linear regression models when there is a common exposure across individuals, as in air pollution studies. Previous methods for obtaining unbiased estimates for case-crossover analyses have assumed that time-varying risk factors are constant within reference windows. In this paper, we rely on the connection between case-crossover and time-series methods to illustrate model-checking procedures from log-linear model diagnostics for time-stratified case-crossover analyses. Additionally, we compare the relative performance of the time-stratified case-crossover approach to time-series methods under 3 simulated scenarios representing different temporal patterns of daily mortality associated with air pollution in Chicago, Illinois, during 1995 and 1996. Whenever a model-be it time-series or case-crossover-fails to account appropriately for fluctuations in time that confound the exposure, the effect estimate will be biased. It is therefore important to perform model-checking in time-stratified case-crossover analyses rather than assume the estimator is unbiased.

Effect of a physiotherapy program in women with primary dysmenorrhea.

PubMed

Ortiz, Mario I; Cortés-Márquez, Sandra Kristal; Romero-Quezada, Luis C; Murguía-Cánovas, Gabriela; Jaramillo-Díaz, Alfonso P

2015-11-01

To evaluate the efficacy of a physiotherapy program for relieving symptoms of primary dysmenorrhea among Mexican women. This was a single-center, prospective, experimental, parallel group, randomized controlled trial. This cross-sectional study was performed at the Universidad Politécnica de Pachuca, Hidalgo, Mexico. Female patients with primary dysmenorrhea, age of 18-22 years; pain intensity from 4 to 10cm on a Visual Analogue Scale (VAS); and sedentary lifestyle were included. The patients were then randomized to receive a physiotherapy program for three months or to no intervention program. The physiotherapy program consisted of overall stretching, specific stretches, Kegel exercises, jogging, and relaxation exercises. Patient evaluations of symptomatology and pain intensity were recorded basally and throughout for three menstrual periods. The data were entered into a computerized database for descriptive and inferential statistical analyses. A per-protocol population of eighty three women with a mean age of 20.2±1.8 years underwent the physiotherapy program, and seventy seven participants with a mean age of 20.4±1.2 years received no treatment. The participant assessments of pain on the VAS during the second and the third menstrual cycles demonstrated a significant reduction in the treatment group (p<0.05) compared with the control group. The results showed that strengthening, stretching and muscle relaxation techniques, in addition to jogging, are effective for reducing dysmenorrheic symptoms when they are regularly performed. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Staged surgical therapy of basal cell carcinoma of the head and neck region: an evaluation of 500 procedures.

PubMed

Hüsler, Rolf; Schlittler, Fabian L; Kreutziger, Janett; Streit, Markus; Banic, Andrej; Schöni-Affolter, Franziska; Hunger, Robert E; Constaninescu, Mihai A

2008-12-13

The surgical therapy of basal cell carcinoma (BCC) is especially demanding in the facial area. This retrospective study was undertaken to evaluate the outcome of staged surgical therapy (SST) of BCC of the head and neck region performed on an interdisciplinary basis at our institution. Patients treated for BCC in the head and neck area between 1/1/1997 and 31/12/2001 were included in the study. The lesions were histologically evaluated. Diameter of lesion, number of stages, defect coverage, operation time, and recurrence and infection rates were analysed using descriptive and inferential statistical procedures. 281 patients were included in the study. SST was performed in two stages in 43.7%, in three stages in 12.9% and in four or more stages in 2.7%, depending on the type of tumour and the patient's pretreatment status. The total operating time per lesion averaged one hour. Defect coverage was achieved by direct closure (37.7%), by full thickness skin graft (39.5%), by split skin graft (1.1%), by local flaps (20.3%) or by composite grafts (1.1%). Median follow-up time was 58.5 months. Low rates of recurrence (3.6%) and infection (2%) were observed with this technique. The staged surgical therapy of basal cell carcinoma evaluated here offers a series of advantages in respect of patient comfort and safety and economy, while allowing precise histological safety with low infection rates and reliable long-term results.

Descriptive epidemiology of infectious gastrointestinal illnesses in Sydney, Australia, 2007-2010.

PubMed

Fletcher, Stephanie; Sibbritt, David; Stark, Damien; Harkness, John; Rawlinson, William; Andresen, David; Van Hal, Sebastian; Merif, Juan; Ellis, John

2015-01-01

There is a lack of information about the prevalence of gastrointestinal illnesses in Australia. Current disease surveillance systems capture only a few pathogens. The aim of this study is to describe the epidemiology of infectious gastrointestinal illnesses in Sydney, Australia. A retrospective cross-sectional study of patients with gastrointestinal symptoms who visited tertiary public hospitals in Sydney was conducted between 2007 and 2010. Patients with diarrhoea or loose stools with an enteric pathogen detected were identified. Demographic, clinical and potential risk factor data were collected from their medical records. Measures of association, descriptive and inferential statistics were analysed. In total, 1722 patients were included in this study. Campylobacter (22.0%) and Clostridium difficile (19.2%) were the most frequently detected pathogens. Stratified analysis showed that rotavirus (22.4%), norovirus (20.7%) and adenovirus (18.1%) mainly affected children under 5 years; older children (5-12 years) were frequently infected with Campylobacter spp. (29.8%) and non-typhoid Salmonella spp. (24.4%); infections with C. difficile increased with age.Campylobacter and non-typhoid Salmonella spp. showed increased incidence in summer months (December to February), while rotavirus infections peaked in the cooler months (June to November). This study revealed that gastrointestinal illness remains a major public health issue in Sydney. Improvement of current disease surveillance and prevention and control measures are required. This study emphasizes the importance of laboratory diagnosis of enteric infections and the need for better clinical data collection to improve management of disease risk factors in the community.

An interventional skin care protocol (InSPiRE) to reduce incontinence-associated dermatitis in critically ill patients in the intensive care unit: A before and after study.

PubMed

Coyer, Fiona; Gardner, Anne; Doubrovsky, Anna

2017-06-01

This study aimed to test the effectiveness of a bundle combining best available evidence to reduce the incidence of incontinence-associated dermatitis occurrences in critically ill patients. The study used a before and after design and was conducted in an adult intensive care unit of an Australian quartenary referral hospital. Data, collected by trained research nurses, included demographic and clinical variables, skin assessment, incontinence-associated dermatitis presence and severity. Data were analysed using descriptive and inferential statistics. Of the 207 patients enrolled, 146 patients were mechanically ventilated and incontinent thus eligible for analysis, 80 with 768days of observation in the after/intervention group and 66 with 733days of observation in the before group. Most patients were men, mean age 53 years. Groups were similar on demographic variables. Incontinence-associated dermatitis incidence was lower in the intervention group (15%; 12/80) compared to the control group (32%; 21/66) (p=0.016). Incontinence-associated dermatitis events developed later in the intensive care unit stay in the intervention group (Logrank=5.2, p=<0.022). This study demonstrated that the use of a bundle combining best available evidence reduced the incidence and delayed the development of incontinence-associated dermatitis occurrences in critically ill patients. Systematic ongoing patient assessments, combined with tailored prevention measures are central to preventing incontinence-associated dermatitis in this vulnerable patient group. Copyright © 2016 Elsevier Ltd. All rights reserved.

Methodological quality and descriptive characteristics of prosthodontic-related systematic reviews.

PubMed

Aziz, T; Compton, S; Nassar, U; Matthews, D; Ansari, K; Flores-Mir, C

2013-04-01

Ideally, healthcare systematic reviews (SRs) should be beneficial to practicing professionals in making evidence-based clinical decisions. However, the conclusions drawn from SRs are directly related to the quality of the SR and of the included studies. The aim was to investigate the methodological quality and key descriptive characteristics of SRs published in prosthodontics. Methodological quality was analysed using the Assessment of Multiple Reviews (AMSTAR) tool. Several electronic resources (MEDLINE, EMBASE, Web of Science and American Dental Association's Evidence-based Dentistry website) were searched. In total 106 SRs were located. Key descriptive characteristics and methodological quality features were gathered and assessed, and descriptive and inferential statistical testing performed. Most SRs in this sample originated from the European continent followed by North America. Two to five authors conducted most SRs; the majority was affiliated with academic institutions and had prior experience publishing SRs. The majority of SRs were published in specialty dentistry journals, with implant or implant-related topics, the primary topics of interest for most. According to AMSTAR, most quality aspects were adequately fulfilled by less than half of the reviews. Publication bias and grey literature searches were the most poorly adhered components. Overall, the methodological quality of the prosthodontic-related systematic was deemed limited. Future recommendations would include authors to have prior training in conducting SRs and for journals to include a universal checklist that should be adhered to address all key characteristics of an unbiased SR process. © 2013 Blackwell Publishing Ltd.

[Cognitive complaints in people with human immunodeficiency virus in Spain: prevalence and related variables].

PubMed

Muñoz-Moreno, José A; Fuster-Ruiz de Apodaca, Maria J; Fumaz, Carmina R; Ferrer, Maria J; Molero, Fernando; Jaen, Àngels; Clotet, Bonaventura; Dalmau, David

2014-05-20

Cognitive complaints have been scarcely studied in people with HIV in Spain. The aim of this research was to know the prevalence of cognitive complaints in HIV-infected people, as well as its potential relationships with demographic, clinical and psychological variables, in the era of combination antiretroviral therapies. Observational multicenter study developed in 4 hospitals and 10 NGOs, in which 791 people with HIV in Spain participated. A self-reported questionnaire was used to evaluate demographic and clinical variables, and an assessment of cognitive complaints, emotional status and quality of life variables was also included. Descriptive and inferential tests were used for statistical analyses. Almost half of the sample (49.8%) referred cognitive complaints, in 72.1% of them an association with interference on daily living activities was found. Memory and attention were the areas most prevalently perceived as affected. The existence of cognitive complaints correlated with a longer HIV infection, lower CD4+ cell count, undetectable viral load and worse quality of life. A discriminant analysis determined that depression, anxiety, older age, living with no partner and low education level allowed to classify optimally HIV-infected people with cognitive complaints. Self-reported cognitive complaints are frequent in people infected with HIV in the current era of combination antiretroviral therapies. This fact is related to emotional disturbances and poor quality of life, but also to impaired immunological and virological status. Copyright © 2012 Elsevier España, S.L. All rights reserved.

Anaemia and nutritional status of adolescent girls in Babile District, Eastern Ethiopia.

PubMed

Teji, Kedir; Dessie, Yadeta; Assebe, Tesfaye; Abdo, Meyrema

2016-01-01

Nutritional status during adolescence plays an important role in the human lifecycle that influences growth and development and during this period nutrient needs are the greatest. The objective of this study is to assess anaemia and nutritional status of adolescent girls in the Babile district, Eastern Ethiopia. Data were collected from 547 adolescent aged 10-19 years by cross sectional study design. WHO Anthro-plus software was used to analyse Nutritional statuses of adolescents and magnitudes were determined using WHO 2007 references point. Haemoglobin was measured on site by hem cue machine. Descriptive and inferential statistical analysis was carried out depending on the nature of variables. The result of the study show that 21.6% thin, 4.8% were over weighted and 1.1% was obese, 32% were anaemic and 15% of adolescents were stunted/ short stature than normal. Nutritional status of adolescent were low both in urban and rural adolescents, but severe thinness were higher among of rural (39.3%) compared to urban (37.5%) adolescents. Factors independently associated with stunting were place of residence, father occupation source of drinking water and age of the adolescents. Nutritional status of adolescent girls contributes to the nutritional status of the community. There is a need to initiate intervention measures to improve the nutritional status of adolescent girls who are the future 'mothers-to-be'. Hence, there is a need to create awareness among adolescents and their family about nutrition and health.

Information and Decision-Making Needs Among People with Anxiety Disorders: Results of an Online Survey.

PubMed

Liebherz, Sarah; Härter, Martin; Dirmaier, Jörg; Tlach, Lisa

2015-12-01

People with anxiety disorders are faced with treatment decisions considerably affecting their life. Patient decision aids are aimed at enabling patients to deliberate treatment options based on individual values and to participate in medical decisions. This is the first study to determine patients' information and decision-making needs as a pre-requisite for the development of patient decision aids for anxiety disorders. An online cross-sectional survey was conducted between January and April 2013 on the e-health portal http://www.psychenet.de by using a self-administered questionnaire with items on internet use, online health information needs, role in decision making and important treatment decisions. Descriptive and inferential statistical as well as qualitative data analyses were performed. A total of 60 people with anxiety disorders with a mean age of 33.3 years (SD 10.5) participated in the survey. The most prevalent reasons for online health information search were the need for general information on anxiety disorders, the search for a physician or psychiatrist and the insufficiency of information given by the healthcare provider. Respondents experienced less shared and more autonomous decisions than they preferred. They assessed decisions on psychotherapy, medication, and treatment setting (inpatient or outpatient) as the most difficult decisions. Our results confirm the importance of offering patient decision aids for people with anxiety disorders that encourage patients to participate in decision making by providing information about the pros and cons of evidence-based treatment options.

Global health education in United States anesthesiology residency programs: a survey of resident opportunities and program director attitudes.

PubMed

Kaur, Gunisha; Tabaie, Sheida; Brar, Jasmit; Tangel, Virginia; Pryor, Kane O

2017-11-16

Interest in global health during postgraduate residency training is increasing across medical specialties, and multiple disciplines have categorized global health training opportunities in their arena. No such cataloging exists for anesthesiology residency programs. The aim of this study was to assess and characterize global health opportunities and the attitudes of program directors (PDs) in U.S. anesthesiology residency programs towards this training. A cross-sectional 20-question survey on global health opportunities was distributed to 128 ACGME accredited anesthesiology residency program directors via email between October 2015 and January 2016. Descriptive statistics and exploratory inferential analyses were applied. Maximal nonresponse selection bias was estimated. The overall response rate was 44%. Of those who responded, 61% reported that their residency program had a global health elective, with a maximal bias estimate of 6.5%. 45% of program directors with no global health elective reported wanting to offer one. 77% of electives have articulated educational goals, but there is substantial heterogeneity in curricula offered. Program director attitudes regarding the value of global health programs differed significantly between those with and without existing programs. The proportion of U.S. anesthesiology residency programs offering global health electives is similar to that in other medical specialties. There is inconsistency in program structure, goals, curriculum, and funding. Attitudes of program directors differ between programs with and without electives, which may reflect bidirectional influence to be investigated further. Further studies are needed to codify curricula, assess effectiveness, and validate methodologies.

Anaemia and nutritional status of adolescent girls in Babile District, Eastern Ethiopia

PubMed Central

Teji, Kedir; Dessie, Yadeta; Assebe, Tesfaye; Abdo, Meyrema

2016-01-01

Introduction Nutritional status during adolescence plays an important role in the human lifecycle that influences growth and development and during this period nutrient needs are the greatest. The objective of this study is to assess anaemia and nutritional status of adolescent girls in the Babile district, Eastern Ethiopia. Methods Data were collected from 547 adolescent aged 10-19 years by cross sectional study design. WHO Anthro-plus software was used to analyse Nutritional statuses of adolescents and magnitudes were determined using WHO 2007 references point. Haemoglobin was measured on site by hem cue machine. Descriptive and inferential statistical analysis was carried out depending on the nature of variables. Results The result of the study show that 21.6% thin, 4.8% were over weighted and 1.1% was obese, 32% were anaemic and 15% of adolescents were stunted/ short stature than normal. Nutritional status of adolescent were low both in urban and rural adolescents, but severe thinness were higher among of rural (39.3%) compared to urban (37.5%) adolescents. Factors independently associated with stunting were place of residence, father occupation source of drinking water and age of the adolescents. Conclusion Nutritional status of adolescent girls contributes to the nutritional status of the community. There is a need to initiate intervention measures to improve the nutritional status of adolescent girls who are the future ‘mothers-to-be’. Hence, there is a need to create awareness among adolescents and their family about nutrition and health. PMID:27642403

Vulnerability Factors and Effectiveness of Disaster Mitigation Measures in the Bangladesh Coast

NASA Astrophysics Data System (ADS)

Hossain, Md. Nazir; Paul, Shitangsu Kumar

2018-01-01

The major objective of this paper is to identify the vulnerability factors and examine the effectiveness of disaster mitigation measures undertaken by individuals, government and non-government organisations to mitigate the impacts of cyclones in the Bangladesh coast experiencing from Cyclone Aila. The primary data were collected from two villages of southwestern coastal areas of Bangladesh using questionnaire survey and interviews of the key informants. The data were analysed using the descriptive and inferential statistics. This paper reveals that the disaster management measures have a significant role to lessen the impacts of the cyclonic event, especially in pre-disaster preparedness, cyclone warning message dissemination, evacuation and post-disaster rehabilitation. The households, who have access to shelter, find weather forecast regularly and adopted pre-disaster awareness measures are relatively less susceptible to hazard's impacts. The disaster management measures undertaken by individuals and GOs and NGOs help coastal people to save their lives and property from the negative impacts of cyclones. The analysis shows that the NGOs' role is more effective and efficient than the GOs in cyclone disaster management. This paper identifies distance to shelter, participation in disaster training, efficient warning, etc. as the influential factors of vulnerability cyclones. The analysis finds the households as less affected who have adopted disaster preparedness measures. However, this paper concludes that the effective and proper disaster management and mitigation measures are very crucial to shield the lives and properties of the Bangladeshi coastal people.

Pre-registration nursing student's quality of practice learning: Clinical learning environment inventory (actual) questionnaire.

PubMed

Shivers, Eleanor; Hasson, Felicity; Slater, Paul

2017-08-01

Clinical learning is a vital component of nurse education and assessing student's experiences can provide useful insights for development. Whilst most research in this area has focused on the acute setting little attention has been given to all pre-registration nurses' experience across the clinical placements arenas. To examine of pre-registration nursing students (first, second and third year) assessment of their actual experiences of their most recent clinical learning clinical learning experience. A cross sectional survey involving a descriptive online anonymous questionnaire based on the clinical learning environment inventory tool. One higher education institution in the United Kingdom. Nursing students (n=147) enrolled in an undergraduate nursing degree. This questionnaire included demographic questions and the Clinical Learning Environment Inventory (CLEI) a 42 item tool measuring student's satisfaction with clinical placement. SPPS version 22 was employed to analyse data with descriptive and inferential statistics. Overall students were satisfied with their clinical learning experience across all placement areas. This was linked to the 6 constructs of the clinical learning environment inventory; personalization, innovation, individualization, task orientation, involvement, satisfaction. Significant differences in student experience were noted between age groups and student year but there was no difference noted between placement type, age and gender. Nursing students had a positive perception of their clinical learning experience, although there remains room for improvement. Enabling a greater understanding of students' perspective on the quality of clinical education is important for nursing education and future research. Copyright © 2017. Published by Elsevier Ltd.

Stress resiliency, psychological empowerment and conflict management styles among baccalaureate nursing students.

PubMed

Pines, Eula W; Rauschhuber, Maureen L; Norgan, Gary H; Cook, Jennifer D; Canchola, Leticia; Richardson, Cynthia; Jones, Mary Elaine

2012-07-01

This article is a report of a Neuman Systems Model-guided correlational study of the relations of stress resiliency, psychological empowerment, selected demographic characteristics (age, ethnicity, semester in school) and conflict management styles. Emerging evidence suggests that stress resiliency and psychological empowerment can strengthen student nurses in academic achievement and coping with stress. Little is known about conflict management styles of students and the relationship to empowerment, resiliency and the implications for managing workplace conflict. A correlational study was conducted in Spring 2010 with 166 baccalaureate students. Most participants were female, single, Hispanic and 25 years old. The data collection instruments included the Stress Resiliency Profile, the Psychological Empowerment Instrument, the Conflict Mode Instrument and a demographic inventory. Descriptive and inferential correlational statistics were used to analyse the data. Students scored in the high range for focusing on their deficiencies in conflict situations; they scored above the 60th percentile for avoiding and accommodating behaviours and were less likely to use competing or collaborating strategies to manage conflict. Empowerment scores were significantly correlated with stress resiliency scores. Students with high scores on empowerment had high scores on the skill recognition subscale of the Stress Resiliency Profile suggesting more resilience; high scores on empowerment were related to high necessitating subscale scores of the Stress Resiliency Profile suggesting a predisposition to stress. Neuman Systems Model may provide guidance for educators to strengthen student nurses' management of stressors in the workplace. © 2011 Blackwell Publishing Ltd.

Vulnerability Factors and Effectiveness of Disaster Mitigation Measures in the Bangladesh Coast

NASA Astrophysics Data System (ADS)

Hossain, Md. Nazir; Paul, Shitangsu Kumar

2018-05-01

The major objective of this paper is to identify the vulnerability factors and examine the effectiveness of disaster mitigation measures undertaken by individuals, government and non-government organisations to mitigate the impacts of cyclones in the Bangladesh coast experiencing from Cyclone Aila. The primary data were collected from two villages of southwestern coastal areas of Bangladesh using questionnaire survey and interviews of the key informants. The data were analysed using the descriptive and inferential statistics. This paper reveals that the disaster management measures have a significant role to lessen the impacts of the cyclonic event, especially in pre-disaster preparedness, cyclone warning message dissemination, evacuation and post-disaster rehabilitation. The households, who have access to shelter, find weather forecast regularly and adopted pre-disaster awareness measures are relatively less susceptible to hazard's impacts. The disaster management measures undertaken by individuals and GOs and NGOs help coastal people to save their lives and property from the negative impacts of cyclones. The analysis shows that the NGOs' role is more effective and efficient than the GOs in cyclone disaster management. This paper identifies distance to shelter, participation in disaster training, efficient warning, etc. as the influential factors of vulnerability cyclones. The analysis finds the households as less affected who have adopted disaster preparedness measures. However, this paper concludes that the effective and proper disaster management and mitigation measures are very crucial to shield the lives and properties of the Bangladeshi coastal people.

Bricks-and-mortar and patient safety culture.

PubMed

Brandis, Susan; Schleimer, Stephanie; Rice, John

2017-06-19

Purpose Building a new hospital requires a major investment in capital infrastructure. The purpose of this paper is to investigate the impact of bricks-and-mortar on patient safety culture before and two years after the move of a large tertiary hospital to a greenfield site. The difference in patient safety perceptions between clinical and non-clinical staff is also explored. Design/methodology/approach This research uses data collected from the same workforce across two time periods (2013 and 2015) in a large Australian healthcare service. Validated surveys of patient safety culture ( n=306 and 246) were analysed using descriptive and inferential statistics. Findings Using two-way analysis of variance, the authors found that perceived patient safety culture remains unchanged for staff despite a major relocation and upgrade of services and different perceptions of patient safety culture between staff groups remains the same throughout change. Practical implications A dramatic change in physical context, such as moving an entire hospital, made no measurable impact on perceived patient safety culture by major groups of staff. Improving patient safety culture requires more than investment in buildings and infrastructure. Understanding differences in professional perspectives of patient safety culture may inform organisational management approaches, and enhance the targeting of specific strategies. Originality/value The authors believe this to be the first empirically based paper that investigates the impact of a large investment into hospital capital and a subsequent relocation of services on clinical and non-clinical staff perceptions of patient safety culture.

Efficacy of Exclusive Lingual Nerve Block versus Conventional Inferior Alveolar Nerve Block in Achieving Lingual Soft-tissue Anesthesia.

PubMed

Balasubramanian, Sasikala; Paneerselvam, Elavenil; Guruprasad, T; Pathumai, M; Abraham, Simin; Krishnakumar Raja, V B

2017-01-01

The aim of this randomized clinical trial was to assess the efficacy of exclusive lingual nerve block (LNB) in achieving selective lingual soft-tissue anesthesia in comparison with conventional inferior alveolar nerve block (IANB). A total of 200 patients indicated for the extraction of lower premolars were recruited for the study. The samples were allocated by randomization into control and study groups. Lingual soft-tissue anesthesia was achieved by IANB and exclusive LNB in the control and study group, respectively. The primary outcome variable studied was anesthesia of ipsilateral lingual mucoperiosteum, floor of mouth and tongue. The secondary variables assessed were (1) taste sensation immediately following administration of local anesthesia and (2) mouth opening and lingual nerve paresthesia on the first postoperative day. Data analysis for descriptive and inferential statistics was performed using SPSS (IBM SPSS Statistics for Windows, Version 22.0, Armonk, NY: IBM Corp. Released 2013) and a P < 0.05 was considered statistically significant. In comparison with the control group, the study group (LNB) showed statistically significant anesthesia of the lingual gingiva of incisors, molars, anterior floor of the mouth, and anterior tongue. Exclusive LNB is superior to IAN nerve block in achieving selective anesthesia of lingual soft tissues. It is technically simple and associated with minimal complications as compared to IAN block.

Efficacy of Exclusive Lingual Nerve Block versus Conventional Inferior Alveolar Nerve Block in Achieving Lingual Soft-tissue Anesthesia

PubMed Central

Balasubramanian, Sasikala; Paneerselvam, Elavenil; Guruprasad, T; Pathumai, M; Abraham, Simin; Krishnakumar Raja, V. B.

2017-01-01

Objective: The aim of this randomized clinical trial was to assess the efficacy of exclusive lingual nerve block (LNB) in achieving selective lingual soft-tissue anesthesia in comparison with conventional inferior alveolar nerve block (IANB). Materials and Methods: A total of 200 patients indicated for the extraction of lower premolars were recruited for the study. The samples were allocated by randomization into control and study groups. Lingual soft-tissue anesthesia was achieved by IANB and exclusive LNB in the control and study group, respectively. The primary outcome variable studied was anesthesia of ipsilateral lingual mucoperiosteum, floor of mouth and tongue. The secondary variables assessed were (1) taste sensation immediately following administration of local anesthesia and (2) mouth opening and lingual nerve paresthesia on the first postoperative day. Results: Data analysis for descriptive and inferential statistics was performed using SPSS (IBM SPSS Statistics for Windows, Version 22.0, Armonk, NY: IBM Corp. Released 2013) and a P < 0.05 was considered statistically significant. In comparison with the control group, the study group (LNB) showed statistically significant anesthesia of the lingual gingiva of incisors, molars, anterior floor of the mouth, and anterior tongue. Conclusion: Exclusive LNB is superior to IAN nerve block in achieving selective anesthesia of lingual soft tissues. It is technically simple and associated with minimal complications as compared to IAN block. PMID:29264294

A study on the use of Gumbel approximation with the Bernoulli spatial scan statistic.

PubMed

Read, S; Bath, P A; Willett, P; Maheswaran, R

2013-08-30

The Bernoulli version of the spatial scan statistic is a well established method of detecting localised spatial clusters in binary labelled point data, a typical application being the epidemiological case-control study. A recent study suggests the inferential accuracy of several versions of the spatial scan statistic (principally the Poisson version) can be improved, at little computational cost, by using the Gumbel distribution, a method now available in SaTScan(TM) (www.satscan.org). We study in detail the effect of this technique when applied to the Bernoulli version and demonstrate that it is highly effective, albeit with some increase in false alarm rates at certain significance thresholds. We explain how this increase is due to the discrete nature of the Bernoulli spatial scan statistic and demonstrate that it can affect even small p-values. Despite this, we argue that the Gumbel method is actually preferable for very small p-values. Furthermore, we extend previous research by running benchmark trials on 12 000 synthetic datasets, thus demonstrating that the overall detection capability of the Bernoulli version (i.e. ratio of power to false alarm rate) is not noticeably affected by the use of the Gumbel method. We also provide an example application of the Gumbel method using data on hospital admissions for chronic obstructive pulmonary disease. Copyright © 2013 John Wiley & Sons, Ltd.

Toward improved analysis of concentration data: Embracing nondetects.

PubMed

Shoari, Niloofar; Dubé, Jean-Sébastien

2018-03-01

Various statistical tests on concentration data serve to support decision-making regarding characterization and monitoring of contaminated media, assessing exposure to a chemical, and quantifying the associated risks. However, the routine statistical protocols cannot be directly applied because of challenges arising from nondetects or left-censored observations, which are concentration measurements below the detection limit of measuring instruments. Despite the existence of techniques based on survival analysis that can adjust for nondetects, these are seldom taken into account properly. A comprehensive review of the literature showed that managing policies regarding analysis of censored data do not always agree and that guidance from regulatory agencies may be outdated. Therefore, researchers and practitioners commonly resort to the most convenient way of tackling the censored data problem by substituting nondetects with arbitrary constants prior to data analysis, although this is generally regarded as a bias-prone approach. Hoping to improve the interpretation of concentration data, the present article aims to familiarize researchers in different disciplines with the significance of left-censored observations and provides theoretical and computational recommendations (under both frequentist and Bayesian frameworks) for adequate analysis of censored data. In particular, the present article synthesizes key findings from previous research with respect to 3 noteworthy aspects of inferential statistics: estimation of descriptive statistics, hypothesis testing, and regression analysis. Environ Toxicol Chem 2018;37:643-656. © 2017 SETAC. © 2017 SETAC.

Logical reasoning versus information processing in the dual-strategy model of reasoning.

PubMed

Markovits, Henry; Brisson, Janie; de Chantal, Pier-Luc

2017-01-01

One of the major debates concerning the nature of inferential reasoning is between counterexample-based strategies such as mental model theory and statistical strategies underlying probabilistic models. The dual-strategy model, proposed by Verschueren, Schaeken, & d'Ydewalle (2005a, 2005b), which suggests that people might have access to both kinds of strategy has been supported by several recent studies. These have shown that statistical reasoners make inferences based on using information about premises in order to generate a likelihood estimate of conclusion probability. However, while results concerning counterexample reasoners are consistent with a counterexample detection model, these results could equally be interpreted as indicating a greater sensitivity to logical form. In order to distinguish these 2 interpretations, in Studies 1 and 2, we presented reasoners with Modus ponens (MP) inferences with statistical information about premise strength and in Studies 3 and 4, naturalistic MP inferences with premises having many disabling conditions. Statistical reasoners accepted the MP inference more often than counterexample reasoners in Studies 1 and 2, while the opposite pattern was observed in Studies 3 and 4. Results show that these strategies must be defined in terms of information processing, with no clear relations to "logical" reasoning. These results have additional implications for the underlying debate about the nature of human reasoning. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

Quality of statistical reporting in developmental disability journals.

PubMed

Namasivayam, Aravind K; Yan, Tina; Wong, Wing Yiu Stephanie; van Lieshout, Pascal

2015-12-01

Null hypothesis significance testing (NHST) dominates quantitative data analysis, but its use is controversial and has been heavily criticized. The American Psychological Association has advocated the reporting of effect sizes (ES), confidence intervals (CIs), and statistical power analysis to complement NHST results to provide a more comprehensive understanding of research findings. The aim of this paper is to carry out a sample survey of statistical reporting practices in two journals with the highest h5-index scores in the areas of developmental disability and rehabilitation. Using a checklist that includes critical recommendations by American Psychological Association, we examined 100 randomly selected articles out of 456 articles reporting inferential statistics in the year 2013 in the Journal of Autism and Developmental Disorders (JADD) and Research in Developmental Disabilities (RDD). The results showed that for both journals, ES were reported only half the time (JADD 59.3%; RDD 55.87%). These findings are similar to psychology journals, but are in stark contrast to ES reporting in educational journals (73%). Furthermore, a priori power and sample size determination (JADD 10%; RDD 6%), along with reporting and interpreting precision measures (CI: JADD 13.33%; RDD 16.67%), were the least reported metrics in these journals, but not dissimilar to journals in other disciplines. To advance the science in developmental disability and rehabilitation and to bridge the research-to-practice divide, reforms in statistical reporting, such as providing supplemental measures to NHST, are clearly needed.

An empirical inferential method of estimating nitrogen deposition to Mediterranean-type ecosystems: the San Bernardino Mountains case study.

PubMed

Bytnerowicz, A; Johnson, R F; Zhang, L; Jenerette, G D; Fenn, M E; Schilling, S L; Gonzalez-Fernandez, I

2015-08-01

The empirical inferential method (EIM) allows for spatially and temporally-dense estimates of atmospheric nitrogen (N) deposition to Mediterranean ecosystems. This method, set within a GIS platform, is based on ambient concentrations of NH3, NO, NO2 and HNO3; surface conductance of NH4(+) and NO3(-); stomatal conductance of NH3, NO, NO2 and HNO3; and satellite-derived LAI. Estimated deposition is based on data collected during 2002-2006 in the San Bernardino Mountains (SBM) of southern California. Approximately 2/3 of dry N deposition was to plant surfaces and 1/3 as stomatal uptake. Summer-season N deposition ranged from <3 kg ha(-1) in the eastern SBM to ∼ 60 kg ha(-1) in the western SBM near the Los Angeles Basin and compared well with the throughfall and big-leaf micrometeorological inferential methods. Extrapolating summertime N deposition estimates to annual values showed large areas of the SBM exceeding critical loads for nutrient N in chaparral and mixed conifer forests. Published by Elsevier Ltd.

The Effect of Personality Traits of Managers/Supervisor on Job Satisfaction of Medical Sciences University Staffs.

PubMed

Abedi, G; Molazadeh-Mahali, Q A; Mirzaian, B; Nadi-Ghara, A; Heidari-Gorji, A M

2016-01-01

Todays people are spending most of their time life in their workplace therefore investigation for job satisfaction related factors is necessities of researches. The purpose of this research was to analyze the effect of manager's personality traits on employee job satisfaction. The present study is a descriptive and causative-comparative one utilized on a statistical sample of 44 managers and 119 employees. It was examined and analyzed through descriptive and inferential statistics of Student's t -test (independent T), one-way ANOVA, and Kolmogorov-Smirnov test. Findings showed that the managers and supervisors with personality traits of extraversion, eagerness to new experiences, adaptability, and dutifulness had higher subordinate employee job satisfaction. However, in the neurotic trait, the result was different. The results showed that job satisfaction was low in the aspect of neurosis. Based on this, it is suggested that, before any selection in managerial and supervisory positions, candidates receive a personality test and in case an individual has a neurotic trait, appropriate interference takes place both in this group and the employees' one.

Multivariate Statistical Inference of Lightning Occurrence, and Using Lightning Observations

NASA Technical Reports Server (NTRS)

Boccippio, Dennis

2004-01-01

Two classes of multivariate statistical inference using TRMM Lightning Imaging Sensor, Precipitation Radar, and Microwave Imager observation are studied, using nonlinear classification neural networks as inferential tools. The very large and globally representative data sample provided by TRMM allows both training and validation (without overfitting) of neural networks with many degrees of freedom. In the first study, the flashing / or flashing condition of storm complexes is diagnosed using radar, passive microwave and/or environmental observations as neural network inputs. The diagnostic skill of these simple lightning/no-lightning classifiers can be quite high, over land (above 80% Probability of Detection; below 20% False Alarm Rate). In the second, passive microwave and lightning observations are used to diagnose radar reflectivity vertical structure. A priori diagnosis of hydrometeor vertical structure is highly important for improved rainfall retrieval from either orbital radars (e.g., the future Global Precipitation Mission "mothership") or radiometers (e.g., operational SSM/I and future Global Precipitation Mission passive microwave constellation platforms), we explore the incremental benefit to such diagnosis provided by lightning observations.

Robust misinterpretation of confidence intervals.

PubMed

Hoekstra, Rink; Morey, Richard D; Rouder, Jeffrey N; Wagenmakers, Eric-Jan

2014-10-01

Null hypothesis significance testing (NHST) is undoubtedly the most common inferential technique used to justify claims in the social sciences. However, even staunch defenders of NHST agree that its outcomes are often misinterpreted. Confidence intervals (CIs) have frequently been proposed as a more useful alternative to NHST, and their use is strongly encouraged in the APA Manual. Nevertheless, little is known about how researchers interpret CIs. In this study, 120 researchers and 442 students-all in the field of psychology-were asked to assess the truth value of six particular statements involving different interpretations of a CI. Although all six statements were false, both researchers and students endorsed, on average, more than three statements, indicating a gross misunderstanding of CIs. Self-declared experience with statistics was not related to researchers' performance, and, even more surprisingly, researchers hardly outperformed the students, even though the students had not received any education on statistical inference whatsoever. Our findings suggest that many researchers do not know the correct interpretation of a CI. The misunderstandings surrounding p-values and CIs are particularly unfortunate because they constitute the main tools by which psychologists draw conclusions from data.

[Waist-hip ratio and perioperative bleeding in patients who underwent radical prostatectomy].

PubMed

León-Ramírez, Víctor; Santiago-López, Janaí; Reyes-Rivera, Juan Gabriel; Miguel-Soto, Edgar

2016-01-01

Radical prostatectomy is associated with perioperative bleeding and multiple transfusions. Abdominal obesity is a perioperative risk factor. We suggest that the adipocytes have a protective effect in oncological patients undergoing radical prostatectomy. The aim was to evaluate the effect of waist-hip ratio (WHR) on the amount of bleeding and perioperative transfusion requirements in oncological patients undergoing radical prostatectomy. We performed a cohort study in 156 patients. We had two groups: the control group (WHR<0.95) and the problem group (WHR≥0.95). Blood loss and fractions transfused during surgery and in the postoperative period were recorded. In the analysis of variables, for descriptive statistics we used measures of central tendency and dispersion. Inferential statistics was obtained by chi square, Student's t test, Mann-Whitney U and ANOVA. A p<0.05 was significant. We found significant differences in weight, body mass index, waist, WHR, perioperative bleeding, fractions transfused, permanence of the catheter, and hospital days. Patients who underwent radical prostatectomy with a WHR≥0.95 had a magnitude of perioperative bleeding and transfusion requirements with a WHR<0.95.

Application of Bayesian inference to the study of hierarchical organization in self-organized complex adaptive systems

NASA Astrophysics Data System (ADS)

Knuth, K. H.

2001-05-01

We consider the application of Bayesian inference to the study of self-organized structures in complex adaptive systems. In particular, we examine the distribution of elements, agents, or processes in systems dominated by hierarchical structure. We demonstrate that results obtained by Caianiello [1] on Hierarchical Modular Systems (HMS) can be found by applying Jaynes' Principle of Group Invariance [2] to a few key assumptions about our knowledge of hierarchical organization. Subsequent application of the Principle of Maximum Entropy allows inferences to be made about specific systems. The utility of the Bayesian method is considered by examining both successes and failures of the hierarchical model. We discuss how Caianiello's original statements suffer from the Mind Projection Fallacy [3] and we restate his assumptions thus widening the applicability of the HMS model. The relationship between inference and statistical physics, described by Jaynes [4], is reiterated with the expectation that this realization will aid the field of complex systems research by moving away from often inappropriate direct application of statistical mechanics to a more encompassing inferential methodology.

The Effect of Personality Traits of Managers/Supervisor on Job Satisfaction of Medical Sciences University Staffs

PubMed Central

Abedi, G; Molazadeh-Mahali, QA; Mirzaian, B; Nadi-Ghara, A; Heidari-Gorji, AM

2016-01-01

Background: Todays people are spending most of their time life in their workplace therefore investigation for job satisfaction related factors is necessities of researches. Aim: The purpose of this research was to analyze the effect of manager's personality traits on employee job satisfaction. Subjects and Methods: The present study is a descriptive and causative-comparative one utilized on a statistical sample of 44 managers and 119 employees. It was examined and analyzed through descriptive and inferential statistics of Student's t-test (independent T), one-way ANOVA, and Kolmogorov–Smirnov test. Results: Findings showed that the managers and supervisors with personality traits of extraversion, eagerness to new experiences, adaptability, and dutifulness had higher subordinate employee job satisfaction. However, in the neurotic trait, the result was different. Conclusion: The results showed that job satisfaction was low in the aspect of neurosis. Based on this, it is suggested that, before any selection in managerial and supervisory positions, candidates receive a personality test and in case an individual has a neurotic trait, appropriate interference takes place both in this group and the employees' one. PMID:28480099

Attitudes of Mashhad Public Hospital's Nurses and Midwives toward the Causes and Rates of Medical Errors Reporting.

PubMed

Mobarakabadi, Sedigheh Sedigh; Ebrahimipour, Hosein; Najar, Ali Vafaie; Janghorban, Roksana; Azarkish, Fatemeh

2017-03-01

Patient's safety is one of the main objective in healthcare services; however medical errors are a prevalent potential occurrence for the patients in treatment systems. Medical errors lead to an increase in mortality rate of the patients and challenges such as prolonging of the inpatient period in the hospitals and increased cost. Controlling the medical errors is very important, because these errors besides being costly, threaten the patient's safety. To evaluate the attitudes of nurses and midwives toward the causes and rates of medical errors reporting. It was a cross-sectional observational study. The study population was 140 midwives and nurses employed in Mashhad Public Hospitals. The data collection was done through Goldstone 2001 revised questionnaire. SPSS 11.5 software was used for data analysis. To analyze data, descriptive and inferential analytic statistics were used. Standard deviation and relative frequency distribution, descriptive statistics were used for calculation of the mean and the results were adjusted as tables and charts. Chi-square test was used for the inferential analysis of the data. Most of midwives and nurses (39.4%) were in age range of 25 to 34 years and the lowest percentage (2.2%) were in age range of 55-59 years. The highest average of medical errors was related to employees with three-four years of work experience, while the lowest average was related to those with one-two years of work experience. The highest average of medical errors was during the evening shift, while the lowest were during the night shift. Three main causes of medical errors were considered: illegibile physician prescription orders, similarity of names in different drugs and nurse fatigueness. The most important causes for medical errors from the viewpoints of nurses and midwives are illegible physician's order, drug name similarity with other drugs, nurse's fatigueness and damaged label or packaging of the drug, respectively. Head nurse feedback, peer feedback, fear of punishment or job loss were considered as reasons for under reporting of medical errors. This research demonstrates the need for greater attention to be paid to the causes of medical errors.

Digital Image Analysis of Yeast Single Cells Growing in Two Different Oxygen Concentrations to Analyze the Population Growth and to Assist Individual-Based Modeling.

PubMed

Ginovart, Marta; Carbó, Rosa; Blanco, Mónica; Portell, Xavier

2017-01-01

Nowadays control of the growth of Saccharomyces to obtain biomass or cellular wall components is crucial for specific industrial applications. The general aim of this contribution is to deal with experimental data obtained from yeast cells and from yeast cultures to attempt the integration of the two levels of information, individual and population, to progress in the control of yeast biotechnological processes by means of the overall analysis of this set of experimental data, and to assist in the improvement of an individual-based model, namely, INDISIM- Saccha . Populations of S. cerevisiae growing in liquid batch culture, in aerobic and microaerophilic conditions, were studied. A set of digital images was taken during the population growth, and a protocol for the treatment and analyses of the images obtained was established. The piecewise linear model of Buchanan was adjusted to the temporal evolutions of the yeast populations to determine the kinetic parameters and changes of growth phases. In parallel, for all the yeast cells analyzed, values of direct morphological parameters, such as area, perimeter, major diameter, minor diameter, and derived ones, such as circularity and elongation, were obtained. Graphical and numerical methods from descriptive statistics were applied to these data to characterize the growth phases and the budding state of the yeast cells in both experimental conditions, and inferential statistical methods were used to compare the diverse groups of data achieved. Oxidative metabolism of yeast in a medium with oxygen available and low initial sugar concentration can be taken into account in order to obtain a greater number of cells or larger cells. Morphological parameters were analyzed statistically to identify which were the most useful for the discrimination of the different states, according to budding and/or growth phase, in aerobic and microaerophilic conditions. The use of the experimental data for subsequent modeling work was then discussed and compared to simulation results generated with INDISIM- Saccha , which allowed us to advance in the development of this yeast model, and illustrated the utility of data at different levels of observation and the needs and logic behind the development of a microbial individual-based model.

Optimism and well-being: a prospective multi-method and multi-dimensional examination of optimism as a resilience factor following the occurrence of stressful life events.

PubMed

Kleiman, Evan M; Chiara, Alexandra M; Liu, Richard T; Jager-Hyman, Shari G; Choi, Jimmy Y; Alloy, Lauren B

2017-02-01

Optimism has been conceptualised variously as positive expectations (PE) for the future , optimistic attributions , illusion of control , and self-enhancing biases. Relatively little research has examined these multiple dimensions of optimism in relation to psychological and physical health. The current study assessed the multi-dimensional nature of optimism within a prospective vulnerability-stress framework. Initial principal component analyses revealed the following dimensions: PEs, Inferential Style (IS), Sense of Invulnerability (SI), and Overconfidence (O). Prospective follow-up analyses demonstrated that PE was associated with fewer depressive episodes and moderated the effect of stressful life events on depressive symptoms. SI also moderated the effect of life stress on anxiety symptoms. Generally, our findings indicated that optimism is a multifaceted construct and not all forms of optimism have the same effects on well-being. Specifically, our findings indicted that PE may be the most relevant to depression, whereas SI may be the most relevant to anxiety.

Using inferential sensors for quality control of Everglades Depth Estimation Network water-level data

USGS Publications Warehouse

Petkewich, Matthew D.; Daamen, Ruby C.; Roehl, Edwin A.; Conrads, Paul

2016-09-29

The Everglades Depth Estimation Network (EDEN), with over 240 real-time gaging stations, provides hydrologic data for freshwater and tidal areas of the Everglades. These data are used to generate daily water-level and water-depth maps of the Everglades that are used to assess biotic responses to hydrologic change resulting from the U.S. Army Corps of Engineers Comprehensive Everglades Restoration Plan. The generation of EDEN daily water-level and water-depth maps is dependent on high quality real-time data from water-level stations. Real-time data are automatically checked for outliers by assigning minimum and maximum thresholds for each station. Small errors in the real-time data, such as gradual drift of malfunctioning pressure transducers, are more difficult to immediately identify with visual inspection of time-series plots and may only be identified during on-site inspections of the stations. Correcting these small errors in the data often is time consuming and water-level data may not be finalized for several months. To provide daily water-level and water-depth maps on a near real-time basis, EDEN needed an automated process to identify errors in water-level data and to provide estimates for missing or erroneous water-level data.The Automated Data Assurance and Management (ADAM) software uses inferential sensor technology often used in industrial applications. Rather than installing a redundant sensor to measure a process, such as an additional water-level station, inferential sensors, or virtual sensors, were developed for each station that make accurate estimates of the process measured by the hard sensor (water-level gaging station). The inferential sensors in the ADAM software are empirical models that use inputs from one or more proximal stations. The advantage of ADAM is that it provides a redundant signal to the sensor in the field without the environmental threats associated with field conditions at stations (flood or hurricane, for example). In the event that a station does malfunction, ADAM provides an accurate estimate for the period of missing data. The ADAM software also is used in the quality assurance and quality control of the data. The virtual signals are compared to the real-time data, and if the difference between the two signals exceeds a certain tolerance, corrective action to the data and (or) the gaging station can be taken. The ADAM software is automated so that, each morning, the real-time EDEN data are compared to the inferential sensor signals and digital reports highlighting potential erroneous real-time data are generated for appropriate support personnel. The development and application of inferential sensors is easily transferable to other real-time hydrologic monitoring networks.

Comparing a single case to a control group - Applying linear mixed effects models to repeated measures data.

PubMed

Huber, Stefan; Klein, Elise; Moeller, Korbinian; Willmes, Klaus

2015-10-01

In neuropsychological research, single-cases are often compared with a small control sample. Crawford and colleagues developed inferential methods (i.e., the modified t-test) for such a research design. In the present article, we suggest an extension of the methods of Crawford and colleagues employing linear mixed models (LMM). We first show that a t-test for the significance of a dummy coded predictor variable in a linear regression is equivalent to the modified t-test of Crawford and colleagues. As an extension to this idea, we then generalized the modified t-test to repeated measures data by using LMMs to compare the performance difference in two conditions observed in a single participant to that of a small control group. The performance of LMMs regarding Type I error rates and statistical power were tested based on Monte-Carlo simulations. We found that starting with about 15-20 participants in the control sample Type I error rates were close to the nominal Type I error rate using the Satterthwaite approximation for the degrees of freedom. Moreover, statistical power was acceptable. Therefore, we conclude that LMMs can be applied successfully to statistically evaluate performance differences between a single-case and a control sample. Copyright © 2015 Elsevier Ltd. All rights reserved.

Inference for multivariate regression model based on multiply imputed synthetic data generated via posterior predictive sampling

NASA Astrophysics Data System (ADS)

Moura, Ricardo; Sinha, Bimal; Coelho, Carlos A.

2017-06-01

The recent popularity of the use of synthetic data as a Statistical Disclosure Control technique has enabled the development of several methods of generating and analyzing such data, but almost always relying in asymptotic distributions and in consequence being not adequate for small sample datasets. Thus, a likelihood-based exact inference procedure is derived for the matrix of regression coefficients of the multivariate regression model, for multiply imputed synthetic data generated via Posterior Predictive Sampling. Since it is based in exact distributions this procedure may even be used in small sample datasets. Simulation studies compare the results obtained from the proposed exact inferential procedure with the results obtained from an adaptation of Reiters combination rule to multiply imputed synthetic datasets and an application to the 2000 Current Population Survey is discussed.

Simple and Multivariate Relationships Between Spiritual Intelligence with General Health and Happiness.

PubMed

Amirian, Mohammad-Elyas; Fazilat-Pour, Masoud

2016-08-01

The present study examined simple and multivariate relationships of spiritual intelligence with general health and happiness. The employed method was descriptive and correlational. King's Spiritual Quotient scales, GHQ-28 and Oxford Happiness Inventory, are filled out by a sample consisted of 384 students, which were selected using stratified random sampling from the students of Shahid Bahonar University of Kerman. Data are subjected to descriptive and inferential statistics including correlations and multivariate regressions. Bivariate correlations support positive and significant predictive value of spiritual intelligence toward general health and happiness. Further analysis showed that among the Spiritual Intelligence' subscales, Existential Critical Thinking Predicted General Health and Happiness, reversely. In addition, happiness was positively predicted by generation of personal meaning and transcendental awareness. The findings are discussed in line with the previous studies and the relevant theoretical background.

Accident occurrence and functional health patterns: a pilot study of relationships in a graduate population.

PubMed

Sheerin, Fintan K; Curtis, Elizabeth; de Vries, Jan

2012-06-01

This pilot study sought to examine the relationship between functional health patterns and accident proneness. A quantitative-descriptive design was employed assessing accident proneness by collecting data on the occurrence of accidents among a sample of university graduates, and examining this in relation to biographical data and information collated using the Functional Health Pattern Assessment Screening Tool (FHPAST). Data were analyzed using descriptive and inferential statistics. One FHPAST factor predicted more frequent sports accidents. Age was also shown to be a significant predictor but in a counterintuitive way, with greater age predicting less accident proneness. The FHPAST may have a role to play in accident prediction. Functional health pattern assessment may be useful for predicting accidents. © 2012, The Authors. International Journal of Nursing Knowledge © 2012, NANDA International.

P-Care BPJS Acceptance Model in Primary Health Centers.

PubMed

Markam, Hosizah

2017-01-01

Electronic Medical Records (EMR) are increasingly adopted in healthcare facilities. Recently, implementation failure of electronic information systems is known to be caused by not only the quality of technical aspects, but also the user's behavior. It is known as applying the Technology Acceptance Model (TAM). This research aimed to analyze the acceptance model of p-care BPJS in the primary health centers. A total sample of 30 p-care BPJS users was drawn by multistage random sampling in which of these 30 primary health centers participated. Data analysis used both descriptive and inferential statistics. In the phase of structural model, it indicated that p-care BPJS acceptance model in the primary health centers was formed by Perceived Ease of Use (PEOU) and Perceived Usefulness (PU) through Attitude towards use of p-care BPJS and Behavioral Intention to use p-care BPJS.

Therapeutic play: preparing the child for the vaccine

PubMed Central

Pontes, Jéssica Etienne Dourado; Tabet, Elaine; Folkmann, Maria Áurea dos Santos; Cunha, Mariana Lucas da Rocha; Almeida, Fabiane de Amorim

2015-01-01

ABSTRACT Objective: To identify and compare behaviors of children during vaccination, who were prepared or not for the procedure using an instructional therapeutic play. Methods: A quasi experimental study, with quantitative approach of 60 children aged 3 to 6 years. The child's reactions were recorded in a checklist. Data were analyzed using descriptive and inferential statistics and Fisher's test. Results: The main reactions in the experimental group were stay still (25;83%) and spontaneously collaborate (24;80%). In the control group, the main reactions were cries and cling to parents (15; 50%), flushing (11;36.67%) and moving the body/agitated (10;33.3%). Conclusion: The reactions of cooperation were more frequent in the experimental group, while low acceptance was observed only in the control group. Therapeutic play has proved an important tool in preparing for the vaccine. PMID:26154545

Individualised care from the orthopaedic and trauma patients' perspective: an international comparative survey.

PubMed

Suhonen, Riitta; Berg, Agneta; Idvall, Ewa; Kalafati, Maria; Katajisto, Jouko; Land, Lucy; Lemonidou, Chryssoula; Välimäki, Maritta; Leino-Kilpi, Helena

2008-11-01

Although individualised nursing care is considered a core value in nursing in different countries, international comparative studies in this area are rare. In Western countries, common hospitalised patients, e.g. orthopaedic patients, often perceive health care as impersonal rather than individualised; a term which may also have different connotations in different cultures. To describe and compare orthopaedic and trauma patients' perceptions of individuality in their care in four European countries. A cross-sectional comparative study. 24 orthopaedic and trauma wards in 13 acute care hospitals. Data were collected from orthopaedic and trauma patients in Finland (n=425, response rate 85%), Greece (n=315, 86%), Sweden (n=218, 73%) and UK (n=135, 58%) between March 2005 and December 2006. Questionnaire survey data using the Individualised Care Scale (ICS) were obtained and analysed using descriptive and inferential statistics including frequencies, percentages, means, standard deviations, 95% confidence intervals (CI), one-way analysis of variance (ANOVA), chi2 statistics and univariate analysis of covariance (ANCOVA). Patients perceived that nurses generally supported their individuality during specific nursing interventions and perceived individuality in their care. There were some between-country differences in the results. Patients' individuality in the clinical situation and in decisional control over their care were also generally well supported and taken into account. However, patients' personal life situation was not supported well through nursing interventions and these patients perceived lower levels of individualised care. North-South axis differences in patients' perceptions of individualised care may be attributed to the way nursing care is defined and organised in different European countries. Differences may be due to the differences in regional samples, and so no firm conclusions can be made. Further research will be needed to examine the effect of patient characteristics' and health care organisation variables in association with patients' perceptions of individualised care.

Prevalence of Principles of Piaget’s Theory Among 4-7-year-old Children and their Correlation with IQ

PubMed Central

Marwaha, Sugandha; Vashist, Binny

2017-01-01

Introduction Cognitive development is a major area of human development and was extensively studied by Jean Piaget. He proposed that the development of intellectual abilities occurs in a series of relatively distinct stages and that a child’s way of thinking and viewing the world is different at different stages. Aim To assess Piaget’s principles of the intuitive stage of preoperational period among 4-7-year-old children relative to their Intelligence quotient (IQ). Materials and Methods Various characteristics as described by Jean Piaget specific for the age group of 4-7 years along with those of the previous (preconceptual stage of preoperational period) and successive periods (concrete operations) were analysed using various experiments in 300 children. These characteristics included the concepts of perceptual and cognitive egocentrism, centration and reversibility. IQ of the children was measured using Seguin form board test. Inferential statistics were performed using Chi-square test and Kruskal Wallis test. The level of statistical significance was set at 0.05. Results The prevalence of perceptual and cognitive egocentrism was 10.7% and 31.7% based on the experiments and 33% based on the interview question. Centration was present in 96.3% of the children. About 99% children lacked the concept of reversibility according to the clay experiment while 97.7% possessed this concept according to the interview question. The mean IQ score of children who possessed perceptual egocentrism, cognitive egocentrism and egocentrism in dental setting was significantly higher than those who lacked these characteristics. Conclusion Perceptual egocentrism had almost disappeared and prevalence of cognitive egocentrism decreased with increase in age. Centration and lack of reversibility were appreciated in most of the children. There was a gradual reduction in the prevalence of these characters with increasing age. Mean IQ score of children who possessed perceptual egocentrism, cognitive egocentrism and egocentrism in dental setting was higher. PMID:28969287

Adults' decision-making about the electronic waste issue: The role of the nature of science conceptualizations and moral concerns in socio-scientific decision-making

NASA Astrophysics Data System (ADS)

Yu, Yuqing

Socio-scientific issues have become increasingly important in Science-Technology-Society (STS) education as a means to make science learning more relevant to students' lives. This study used the e-waste issue as a context to investigate two aspects of socio-scientific decision-making: (1) the relationship between the nature of science (NOS) conceptualizations and decision-making; and (2) moral concerns involved in the process of decision-making. This study contributes to the field of socio-scientific issue research and STS education in the following ways. First, it is the first study that performed meta-analysis to seek the relationship between the NOS understanding and decision-making. This study concludes that valuable NOS conceptualizations that are highly related to the socio-scientific issue under investigation, rather than general NOS understanding, exert statistically significant influences on decision-making. Second, this study empirically examined the Multiple Responses Model (MRM), which enables the transfer of qualitative NOS responses into quantitative data, and hence, inferential statistics. The current study justifies the significance of unidimensionality to the application of the MRM. It addresses the limitations associated with the MRM and provides implications for future use of the MRM in other contexts. Finally, the study explores the role of moral concerns in socio-scientific decision-making. Eight participants engaged in interviews that were designed to elicit their reactions and feelings regarding the issue of exporting e-waste to poor countries. Qualitative analyses demonstrated that moral considerations were significant influences on decision-making. In addition, participants' action responses revealed that they were motivated to take action to help the environment. The study has implications for socio-scientific issue studies in other contexts and for teacher education programs that use socio-scientific issues to advance teachers' reasoning and discourse skills.

A cross sectional assessment of knowledge, attitude and practice towards Hepatitis B among healthy population of Quetta, Pakistan

PubMed Central

2012-01-01

Background Hepatitis B (HB) is a serious global public health problem. This study aims to evaluate Knowledge, Attitude and Practice (KAP) towards Hepatitis B (HB) among healthy population of Quetta city, Pakistan. Methods A cross sectional, descriptive study was undertaken. One thousand healthy individuals (aged 18 years and above) were approached for the study. KAP towards HB was assessed by using a pre validated questionnaire. Descriptive statistics were used for elaborating patients’ demographic characteristics. Inferential statistics (Mann–Whitney U test and Kruskal Wallis test) were used for comparison while Spearman’s rho correlation was used to identify association between the study variables. All analyses were performed using SPSS 16.0. Results Out of 1000 distributed questionnaires, 780 were returned with a response rate of 78.0%. Four hundred and twenty (53.8%) respondents were male with mean age of 32.76 ± 9.40 year. Two hundred and eight (26.7%) had intermediate level of education and 354 (45.4%) were unemployed. Mean scores for knowledge, attitude and practice were 8.74 ± 2.7, 3.72 ± 1.2 and 2.76 ± 1.1 respectively. Significant and positive linear correlations between knowledge-attitude (r = 0.296, p < 0.01) knowledge-practice (r = 0.324, p < 0.01) and attitude-practice (r = 0.331, p < 0.01) were observed. Area of residence (locality) was the only variables significantly associated with mean KAP of the study respondents. Conclusion Results from the current study heighted poor KAP of healthy population towards HB. The positive linear correlations reaffirms that better knowledge can lead to positive attitude and subsequently in good practices. This will further help in prevention and management of HB. Therefore, extensive health educational campaign should be provided to general population and especially to the residents of rural areas. PMID:22917489

Physical and mental health perspectives of first year undergraduate rural university students.

PubMed

Hussain, Rafat; Guppy, Michelle; Robertson, Suzanne; Temple, Elizabeth

2013-09-15

University students are often perceived to have a privileged position in society and considered immune to ill-health and disability. There is growing evidence that a sizeable proportion experience poor physical health, and that the prevalence of psychological disorders is higher in university students than their community peers. This study examined the physical and mental health issues for first year Australian rural university students and their perception of access to available health and support services. Cross-sectional study design using an online survey form based on the Adolescent Screening Questionnaire modeled on the internationally recognised HEADSS survey tool. The target audience was all first-year undergraduate students enrolled in an on-campus degree program. The response rate was 41% comprising 355 students (244 females, 111 males). Data was analysed using standard statistical techniques including descriptive and inferential statistics; and thematic analysis of the open-ended responses. The mean age of the respondents was 20.2 years (SD 4.8). The majority of the students lived in on-campus residential college style accommodation, and a third combined part-time paid work with full-time study. Most students reported being in good physical health. However, on average two health conditions were reported over the past six months, with the most common being fatigue (56%), frequent headaches (26%) and allergies (24%). Mental health problems included anxiety (25%), coping difficulties (19.7%) and diagnosed depression (8%). Most respondents reported adequate access to medical doctors and support services for themselves (82%) and friends (78%). However the qualitative comments highlighted concerns about stigma, privacy and anonymity in seeking counselling. The present study adds to the limited literature of physical and mental health issues as well as barriers to service utilization by rural university students. It provides useful baseline data for the development of customised support programs at rural campuses. Future research using a longitudinal research design and multi-site studies are recommended to facilitate a deeper understanding of health issues affecting rural university students.

Prevalence of Principles of Piaget's Theory Among 4-7-year-old Children and their Correlation with IQ.

PubMed

Marwaha, Sugandha; Goswami, Mousumi; Vashist, Binny

2017-08-01

Cognitive development is a major area of human development and was extensively studied by Jean Piaget. He proposed that the development of intellectual abilities occurs in a series of relatively distinct stages and that a child's way of thinking and viewing the world is different at different stages. To assess Piaget's principles of the intuitive stage of preoperational period among 4-7-year-old children relative to their Intelligence quotient (IQ). Various characteristics as described by Jean Piaget specific for the age group of 4-7 years along with those of the previous (preconceptual stage of preoperational period) and successive periods (concrete operations) were analysed using various experiments in 300 children. These characteristics included the concepts of perceptual and cognitive egocentrism, centration and reversibility. IQ of the children was measured using Seguin form board test. Inferential statistics were performed using Chi-square test and Kruskal Wallis test. The level of statistical significance was set at 0.05. The prevalence of perceptual and cognitive egocentrism was 10.7% and 31.7% based on the experiments and 33% based on the interview question. Centration was present in 96.3% of the children. About 99% children lacked the concept of reversibility according to the clay experiment while 97.7% possessed this concept according to the interview question. The mean IQ score of children who possessed perceptual egocentrism, cognitive egocentrism and egocentrism in dental setting was significantly higher than those who lacked these characteristics. Perceptual egocentrism had almost disappeared and prevalence of cognitive egocentrism decreased with increase in age. Centration and lack of reversibility were appreciated in most of the children. There was a gradual reduction in the prevalence of these characters with increasing age. Mean IQ score of children who possessed perceptual egocentrism, cognitive egocentrism and egocentrism in dental setting was higher.

Performance in grade 12 mathematics and science predicts student nurses' performance in first year science modules at a university in the Western Cape.

PubMed

Mthimunye, Katlego D T; Daniels, Felicity M

2017-10-26

The demand for highly qualified and skilled nurses is increasing in South Africa as well as around the world. Having a background in science can create a significant advantage for students wishing to enrol for an undergraduate nursing qualification because nursing as profession is grounded in scientific evidence. The aim of this study was to investigate the predictive validity of grade 12 mathematics and science on the academic performance of first year student nurses in science modules. A quantitative research method using a cross-sectional predictive design was employed in this study. The participants included first year Bachelor of Nursing students enrolled at a university in the Western Cape, South Africa. Descriptive and inferential statistics were performed to analyse the data by using the IBM Statistical Package for Social Sciences versions 24. Descriptive analysis of all variables was performed as well as the Spearman's rank correlation test to describe the relationship among the study variables. Standard multiple linear regressions analysis was performed to determine the predictive validity of grade 12 mathematics and science on the academic performance of first year student nurses in science modules. The results of this study showed that grade 12 physical science is not a significant predictor (p > 0.062) of performance in first year science modules. The multiple linear regression revealed that grade 12 mathematics and life science grades explained 37.1% to 38.1% (R2 = 0.381 and adj R2 = 0.371) of the variation in the first year science grade distributions. Based on the results of the study it is evident that performance in grade 12 mathematics (β = 2.997) and life science (β = 3.175) subjects is a significant predictor (p < 0.001) of the performance in first year science modules for student nurses at the university identified for this study.

Examining the breastfeeding support resources of the public health nursing services in Ireland.

PubMed

Mulcahy, Helen; Phelan, Agnes; Corcoran, Paul; Leahy-Warren, Patricia

2012-04-01

The aim of the study was to review breastfeeding support provided by Public Health Nurses in Ireland. The objectives were to identify the availability of appropriate guiding policies, educational preparation, attitude of Public Health Nurses and the availability and use of other supportive services. Breastfeeding rates in Ireland are among the lowest in Europe. The main source of formal support for breastfeeding mothers in the community in Ireland is from Public Health Nurses who can make referral to other non-statutory resources. The nature of this support is determined by policies guiding clinical practice and education that increases breastfeeding confidence and competence of all personnel. Consequently, an assessment of breastfeeding resources requires an analysis of all these variables. A large quantitative, cross-sectional study was conducted, involving Public Health Nurses and mothers. This paper represents the results from the perspective of Public Health Nurses. Directors of Public Health Nursing (n = 24) and Public Health Nurses (n = 204) completed self-report questionnaires by mail and online. Data were analysed using the Statistical Package for Social Sciences and reported using descriptive and inferential statistics. Public Health Nurses are well educated to support breastfeeding and have a positive attitude and a high degree of self-assessed confidence and competence. A wide variety of non-statutory support exists for breastfeeding but is not always used to their full potential. Standardising educational requirements for Public Health Nurses in supporting breastfeeding is an area that requires attention. Ultimately, service delivery in relation to supporting breastfeeding mothers would benefit from being more timely and responsive. Awareness of support resources is necessary for Public Health Nurses to make appropriate referrals for breastfeeding mothers. Furthermore, Directors of Public Health Nursing need to encourage the breastfeeding supportive role of Public Health Nurses and facilitate continuing professional development. © 2011 Blackwell Publishing Ltd.

The Weak Spots in Contemporary Science (and How to Fix Them)

PubMed Central

2017-01-01

Simple Summary Several fraud cases, widespread failure to replicate or reproduce seminal findings, and pervasive error in the scientific literature have led to a crisis of confidence in the biomedical, behavioral, and social sciences. In this review, the author discusses some of the core findings that point at weak spots in contemporary science and considers the human factors that underlie them. He delves into the human tendencies that create errors and biases in data collection, analyses, and reporting of research results. He presents several solutions to deal with observer bias, publication bias, the researcher’s tendency to exploit degrees of freedom in their analysis of data, low statistical power, and errors in the reporting of results, with a focus on the specific challenges in animal welfare research. Abstract In this review, the author discusses several of the weak spots in contemporary science, including scientific misconduct, the problems of post hoc hypothesizing (HARKing), outcome switching, theoretical bloopers in formulating research questions and hypotheses, selective reading of the literature, selective citing of previous results, improper blinding and other design failures, p-hacking or researchers’ tendency to analyze data in many different ways to find positive (typically significant) results, errors and biases in the reporting of results, and publication bias. The author presents some empirical results highlighting problems that lower the trustworthiness of reported results in scientific literatures, including that of animal welfare studies. Some of the underlying causes of these biases are discussed based on the notion that researchers are only human and hence are not immune to confirmation bias, hindsight bias, and minor ethical transgressions. The author discusses solutions in the form of enhanced transparency, sharing of data and materials, (post-publication) peer review, pre-registration, registered reports, improved training, reporting guidelines, replication, dealing with publication bias, alternative inferential techniques, power, and other statistical tools. PMID:29186879

An international study of hospitalized cancer patients' health status, nursing care quality, perceived individuality in care and trust in nurses: A path analysis.

PubMed

Charalambous, Andreas; Radwin, Laurel; Berg, Agneta; Sjovall, Katarina; Patiraki, Elisabeth; Lemonidou, Chryssoula; Katajisto, Jouko; Suhonen, Riitta

2016-09-01

Providing high quality nursing care for patients with malignancies is complex and driven by many factors. Many of the associations between nursing care quality, trust, health status and individualized care remain obscure. To empirically test a model of association linking hospitalized cancer patients' health status, nursing care quality, perceived individuality in care and trust in nurses. A cross-sectional, exploratory and correlational study design was used. This multi-site study was conducted in cancer care clinics, in-patient wards of five tertiary care hospitals in Cyprus, Finland, Greece and Sweden. Out of 876 hospitalized patients with a confirmed histopathological diagnosis of cancer approached to participate in the study in consecutive order, 599 (response rate 68%) agreed to participate and the data from 590 were used for path analysis. Data were collected in 2012-2013 with the Individualized Care Scale-Patient (ICS-Patient), the Oncology Patients' Perceptions of Quality Nursing Care Scale (OPPQNCS), the Euro-Qol (EQ-5D-3L) and the Trust in Nurses Scale. Data were analysed statistically using descriptive and inferential statistics. Mplus version 7.11 was used to determine the best Trust model with path analysis. Although the model fit indices suggested that the hypothesized model did not perfectly to the data, a slightly modified model which includes the reciprocal path between individualized care and nursing care quality demonstrated a good fit. A model of trust in nurses was developed. Health status, individualized care, and nursing care quality were found to be associated with trust. The model highlights the complexity of caring for cancer patients. Trust in nurses is influenced by the provision of individualized care. Generating and promoting trust requires interventions, which promote nursing care quality, individuality and patients' health status. Copyright © 2016 Elsevier Ltd. All rights reserved.

DEVELOPMENT OF A LOW-COST INFERENTIAL NATURAL GAS ENERGY FLOW RATE PROTOTYPE RETROFIT MODULE

DOE Office of Scientific and Technical Information (OSTI.GOV)

E. Kelner; T.E. Owen; D.L. George

2004-03-01

In 1998, Southwest Research Institute{reg_sign} began a multi-year project co-funded by the Gas Research Institute (GRI) and the U.S. Department of Energy. The project goal is to develop a working prototype instrument module for natural gas energy measurement. The module will be used to retrofit a natural gas custody transfer flow meter for energy measurement, at a cost an order of magnitude lower than a gas chromatograph. Development and evaluation of the prototype retrofit natural gas energy flow meter in 2000-2001 included: (1) evaluation of the inferential gas energy analysis algorithm using supplemental gas databases and anticipated worst-case gas mixtures;more » (2) identification and feasibility review of potential sensing technologies for nitrogen diluent content; (3) experimental performance evaluation of infrared absorption sensors for carbon dioxide diluent content; and (4) procurement of a custom ultrasonic transducer and redesign of the ultrasonic pulse reflection correlation sensor for precision speed-of-sound measurements. A prototype energy meter module containing improved carbon dioxide and speed-of-sound sensors was constructed and tested in the GRI Metering Research Facility at SwRI. Performance of this module using transmission-quality natural gas and gas containing supplemental carbon dioxide up to 9 mol% resulted in gas energy determinations well within the inferential algorithm worst-case tolerance of {+-}2.4 Btu/scf (nitrogen diluent gas measured by gas chromatograph). A two-week field test was performed at a gas-fired power plant to evaluate the inferential algorithm and the data acquisition requirements needed to adapt the prototype energy meter module to practical field site conditions.« less

Reader-Text Interactions: How Differential Text and Question Types Influence Cognitive Skills Needed for Reading Comprehension

PubMed Central

Eason, Sarah H.; Goldberg, Lindsay F.; Young, Katherine M.; Geist, Megan C.; Cutting, Laurie E.

2015-01-01

Current research has shown that comprehension can vary based on text and question types, and that readers’ word recognition and background knowledge may account for these differences. Other reader characteristics such as semantic and syntactic awareness, inferencing, planning/organizing have also all been linked to reading comprehension, but have not been examined with regard to specific text and question types. The aim of this study was to explore the relationships between reader characteristics, text types, and question types, in children aged 10–14. We sought to compare children’s performance when comprehending narrative, expository, and functional text, as well as to explore differences between children’s performance on comprehension questions that assess their literal or inferential comprehension of a passage. To examine such differences, we analyzed the degree to which distinct cognitive skills (semantic and syntactic awareness, inferencing, planning/organizing) contribute to performance on varying types of texts and questions. This study found main effects of text and question types, as well as an interaction in which relations between question types varied between text types. Analyses indicated that higher order cognitive skills, including the ability to make inferences and to plan and organize information, contribute to comprehension of more complex text (e.g., expository vs. narrative) and question types (e.g., inferential vs. literal), and therefore are important components of reading for later elementary and middle school students. These findings suggest that developing these skills in early elementary school may better equip students for comprehending the texts they will encounter in higher grades. PMID:26566295

Factorial inferential grid grouping and representativeness analysis for a systematic selection of representative grids

NASA Astrophysics Data System (ADS)

Cheng, Guanhui; Huang, Guohe; Dong, Cong; Xu, Ye; Yao, Yao

2017-08-01

A factorial inferential grid grouping and representativeness analysis (FIGGRA) approach is developed to achieve a systematic selection of representative grids in large-scale climate change impact assessment and adaptation (LSCCIAA) studies and other fields of Earth and space sciences. FIGGRA is applied to representative-grid selection for temperature (Tas) and precipitation (Pr) over the Loess Plateau (LP) to verify methodological effectiveness. FIGGRA is effective at and outperforms existing grid-selection approaches (e.g., self-organizing maps) in multiple aspects such as clustering similar grids, differentiating dissimilar grids, and identifying representative grids for both Tas and Pr over LP. In comparison with Pr, the lower spatial heterogeneity and higher spatial discontinuity of Tas over LP lead to higher within-group similarity, lower between-group dissimilarity, lower grid grouping effectiveness, and higher grid representativeness; the lower interannual variability of the spatial distributions of Tas results in lower impacts of the interannual variability on the effectiveness of FIGGRA. For LP, the spatial climatic heterogeneity is the highest in January for Pr and in October for Tas; it decreases from spring, autumn, summer to winter for Tas and from summer, spring, autumn to winter for Pr. Two parameters, i.e., the statistical significance level (α) and the minimum number of grids in every climate zone (Nmin), and their joint effects are significant for the effectiveness of FIGGRA; normalization of a nonnormal climate-variable distribution is helpful for the effectiveness only for Pr. For FIGGRA-based LSCCIAA studies, a low value of Nmin is recommended for both Pr and Tas, and a high and medium value of α for Pr and Tas, respectively.

A Robust Adaptive Autonomous Approach to Optimal Experimental Design

NASA Astrophysics Data System (ADS)

Gu, Hairong

Experimentation is the fundamental tool of scientific inquiries to understand the laws governing the nature and human behaviors. Many complex real-world experimental scenarios, particularly in quest of prediction accuracy, often encounter difficulties to conduct experiments using an existing experimental procedure for the following two reasons. First, the existing experimental procedures require a parametric model to serve as the proxy of the latent data structure or data-generating mechanism at the beginning of an experiment. However, for those experimental scenarios of concern, a sound model is often unavailable before an experiment. Second, those experimental scenarios usually contain a large number of design variables, which potentially leads to a lengthy and costly data collection cycle. Incompetently, the existing experimental procedures are unable to optimize large-scale experiments so as to minimize the experimental length and cost. Facing the two challenges in those experimental scenarios, the aim of the present study is to develop a new experimental procedure that allows an experiment to be conducted without the assumption of a parametric model while still achieving satisfactory prediction, and performs optimization of experimental designs to improve the efficiency of an experiment. The new experimental procedure developed in the present study is named robust adaptive autonomous system (RAAS). RAAS is a procedure for sequential experiments composed of multiple experimental trials, which performs function estimation, variable selection, reverse prediction and design optimization on each trial. Directly addressing the challenges in those experimental scenarios of concern, function estimation and variable selection are performed by data-driven modeling methods to generate a predictive model from data collected during the course of an experiment, thus exempting the requirement of a parametric model at the beginning of an experiment; design optimization is performed to select experimental designs on the fly of an experiment based on their usefulness so that fewest designs are needed to reach useful inferential conclusions. Technically, function estimation is realized by Bayesian P-splines, variable selection is realized by Bayesian spike-and-slab prior, reverse prediction is realized by grid-search and design optimization is realized by the concepts of active learning. The present study demonstrated that RAAS achieves statistical robustness by making accurate predictions without the assumption of a parametric model serving as the proxy of latent data structure while the existing procedures can draw poor statistical inferences if a misspecified model is assumed; RAAS also achieves inferential efficiency by taking fewer designs to acquire useful statistical inferences than non-optimal procedures. Thus, RAAS is expected to be a principled solution to real-world experimental scenarios pursuing robust prediction and efficient experimentation.

Performance of the National Tuberculosis Control Program in the post conflict Liberia.

PubMed

Desta, Kassaye Tekie; Masango, T E; Nkosi, Zerish Zethu

2018-01-01

Tuberculosis is a major public health problem in Liberia. According to the World Health Organization (WHO), the incidence of tuberculosis in Liberia is significantly increasing from year to year. However, little is known about the performance of the programme and the challenges after the 14 years of civil war which ended in 2003.The purpose of the study was to evaluate the performance of the TB programme of Liberia. The study utilised mixed research design; both quantitative and qualitative methods were used in this study conducted from 2013 to 2014. For the quantitative part of the study, a questionnaire, laboratory performance and eleven years TB programme data (2003-2013) were used. For the performance of tuberculosis laboratory testing, all the 107 functional tuberculosis microscopy centers in Liberia were included. For the qualitative part of the study, an interview of 10 informants and two focus group discussions (FGDs) were also conducted, each comprising of eight people. Themes and subthemes emerged from the two FGDs. Data was analysed in line with the Donabedian model. Quantitative findings were analysed and presented using both descriptive and inferential statistics. The study findings pointed out that there was overall improvement in the performance of the tuberculosis control programme in Liberia from 2003 to 2013. The percentage of cured patients was 60% in 2005 and 62% in 2013. Percentage of treatment completed was 16% in 2005 and 21% in 2013. The case detection rate was 57% and treatment success rate 80% in 2013. The default rate was 11% in 2013. Of the 139 participants, 120 (86%) completed TB treatment while 19 (14%) did not. Between 2003 and 2013, the National Leprosy and Tuberculosis Control Programme (NLTCP) succeeded in restoring the TB services and improving some of the TB treatment outcomes including the Directly observed treatment short courses(DOTS) coverage. Despite these improvements, the TB treatment, laboratory services and human resource capacity lagged behind. The TB programme of Liberia needs to develop new strategies to address its challenges.

How might health services capture patient-reported safety concerns in a hospital setting? An exploratory pilot study of three mechanisms.

PubMed

O'Hara, Jane Kathryn; Armitage, Gerry; Reynolds, Caroline; Coulson, Claire; Thorp, Liz; Din, Ikhlaq; Watt, Ian; Wright, John

2017-01-01

Emergent evidence suggests that patients can identify and report safety issues while in hospital. However, little is known about the best method for collecting information from patients about safety concerns. This study presents an exploratory pilot of three mechanisms for collecting data on safety concerns from patients during their hospital stay. Three mechanisms for capturing safety concerns were coproduced with healthcare professionals and patients, before being tested in an exploratory trial using cluster randomisation at the ward level. Nine wards participated, with each mechanism being tested over a 3-month study period. Patients were asked to feed back safety concerns via the mechanism on their ward (interviewing at their bedside, paper-based form or patient safety 'hotline'). Safety concerns were subjected to a two-stage review process to identify those that would meet the definition of a patient safety incident. Differences between mechanisms on a range of outcomes were analysed using inferential statistics. Safety concerns were thematically analysed to develop reporting categories. 178 patients were recruited. Patients in the face-to-face interviewing condition provided significantly more safety concerns per patient (1.91) compared with the paper-based form (0.92) and the patient safety hotline (0.43). They were also significantly more likely to report one or more concerns, with 64% reporting via the face-to-face mechanism, compared with 41% via the paper-based form and 19% via the patient safety hotline. No mechanism differed significantly in the number of classified patient safety incidents or physician-rated preventability and severity. Interviewing at the patient's bedside is likely to be the most effective means of gathering safety concerns from inpatients, potentially providing an opportunity for health services to gather patient feedback about safety from their perspective. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.

Improving patient safety through better teamwork: how effective are different methods of simulation debriefing? Protocol for a pragmatic, prospective and randomised study

PubMed Central

Freytag, Julia; Stroben, Fabian; Hautz, Wolf E; Eisenmann, Dorothea; Kämmer, Juliane E

2017-01-01

Introduction Medical errors have an incidence of 9% and may lead to worse patient outcome. Teamwork training has the capacity to significantly reduce medical errors and therefore improve patient outcome. One common framework for teamwork training is crisis resource management, adapted from aviation and usually trained in simulation settings. Debriefing after simulation is thought to be crucial to learning teamwork-related concepts and behaviours but it remains unclear how best to debrief these aspects. Furthermore, teamwork-training sessions and studies examining education effects on undergraduates are rare. The study aims to evaluate the effects of two teamwork-focused debriefings on team performance after an extensive medical student teamwork training. Methods and analyses A prospective experimental study has been designed to compare a well-established three-phase debriefing method (gather–analyse–summarise; the GAS method) to a newly developed and more structured debriefing approach that extends the GAS method with TeamTAG (teamwork techniques analysis grid). TeamTAG is a cognitive aid listing preselected teamwork principles and descriptions of behavioural anchors that serve as observable patterns of teamwork and is supposed to help structure teamwork-focused debriefing. Both debriefing methods will be tested during an emergency room teamwork-training simulation comprising six emergency medicine cases faced by 35 final-year medical students in teams of five. Teams will be randomised into the two debriefing conditions. Team performance during simulation and the number of principles discussed during debriefing will be evaluated. Learning opportunities, helpfulness and feasibility will be rated by participants and instructors. Analyses will include descriptive, inferential and explorative statistics. Ethics and dissemination The study protocol was approved by the institutional office for data protection and the ethics committee of Charité Medical School Berlin and registered under EA2/172/16. All students will participate voluntarily and will sign an informed consent after receiving written and oral information about the study. Results will be published. PMID:28667224

Implementation and evaluation of a comprehensive, school-wide bullying prevention program in an urban/suburban middle school.

PubMed

Bowllan, Nancy M

2011-04-01

This intervention study examined the prevalence of bullying in an urban/suburban middle school and the impact of the Olweus Bullying Prevention Program (OBPP). A quasi-experimental design consisting of a time-lagged contrast between age-equivalent groups was utilized. Baseline data collected for 158 students prior to implementation of the OBPP were compared to 112 students who received the OBPP intervention for 1 year. Multiple perspectives on bullying were collected using the Revised-Olweus Bully/Victim Questionnaire. Similarly, a teacher questionnaire collected data for 17 teachers on prevalence of bullying and capacity to intervene pre- and post- OBPP intervention. Descriptive and inferential statistics were generated to analyze findings. Statistically significant findings were found for 7th grade female students who received 1 year of the OBPP on reports of prevalence of bullying (p = .022) and exclusion by peers (p = .009). In contrast, variability in statistical findings was obtained for 8th grade females and no statistical findings were found for males. Following 1 year of the OBPP, teachers reported statistically significant improvements in their capacity to identify bullying (p = .016), talk to students who bully (p = .024), and talk with students who are bullied (p = .051). Other substantial percentile changes were also noted. Findings suggest a significant positive impact of the OBPP on 7th grade females and teachers. Other grade and gender findings were inconsistent with previous literature. Recommendations for further research are provided along with implications for school health prevention programming. © 2011, American School Health Association.

Nigerian pharmacists’ self-perceived competence and confidence to plan and conduct pharmacy practice research

PubMed Central

Usman, Mohammad N.; Umar, Muhammad D.

2018-01-01

Background: Recent studies have revealed that pharmacists have interest in conducting research. However, lack of confidence is a major barrier. Objective: This study evaluated pharmacists’ self-perceived competence and confidence to plan and conduct health-related research. Method: This cross sectional study was conducted during the 89th Annual National Conference of the Pharmaceutical Society of Nigeria in November 2016. An adapted questionnaire was validated and administered to 200 pharmacist delegates during the conference. Result: Overall, 127 questionnaires were included in the analysis. At least 80% of the pharmacists had previous health-related research experience. Pharmacist’s competence and confidence scores were lowest for research skills such as: using software for statistical analysis, choosing and applying appropriate inferential statistical test and method, and outlining detailed statistical plan to be used in data analysis. Highest competence and confidence scores were observed for conception of research idea, literature search and critical appraisal of literature. Pharmacists with previous research experience had higher competence and confidence scores than those with no previous research experience (p<0.05). The only predictor of moderate-to-extreme self-competence and confidence was having at least one journal article publication during the last 5 years. Conclusion: Nigerian pharmacists indicated interest to participate in health-related research. However, self-competence and confidence to plan and conduct research were low. This was particularly so for skills related to statistical analysis. Training programs and building of Pharmacy Practice Research Network are recommended to enhance pharmacist’s research capacity. PMID:29619141

Expected p-values in light of an ROC curve analysis applied to optimal multiple testing procedures.

PubMed

Vexler, Albert; Yu, Jihnhee; Zhao, Yang; Hutson, Alan D; Gurevich, Gregory

2017-01-01

Many statistical studies report p-values for inferential purposes. In several scenarios, the stochastic aspect of p-values is neglected, which may contribute to drawing wrong conclusions in real data experiments. The stochastic nature of p-values makes their use to examine the performance of given testing procedures or associations between investigated factors to be difficult. We turn our focus on the modern statistical literature to address the expected p-value (EPV) as a measure of the performance of decision-making rules. During the course of our study, we prove that the EPV can be considered in the context of receiver operating characteristic (ROC) curve analysis, a well-established biostatistical methodology. The ROC-based framework provides a new and efficient methodology for investigating and constructing statistical decision-making procedures, including: (1) evaluation and visualization of properties of the testing mechanisms, considering, e.g. partial EPVs; (2) developing optimal tests via the minimization of EPVs; (3) creation of novel methods for optimally combining multiple test statistics. We demonstrate that the proposed EPV-based approach allows us to maximize the integrated power of testing algorithms with respect to various significance levels. In an application, we use the proposed method to construct the optimal test and analyze a myocardial infarction disease dataset. We outline the usefulness of the "EPV/ROC" technique for evaluating different decision-making procedures, their constructions and properties with an eye towards practical applications.

The current situation of human resources for health in the province of Cabinda in Angola: is it a limitation to provide universal access to healthcare?

PubMed

Macaia, Damas; Lapão, Luís Velez

2017-12-28

Angola is among sub-Saharan African countries dealing with a crisis of Human Resources for Health (HRH). The province of Cabinda, besides the efforts, still suffers from both HRH shortage and a badly distributed health workforce. In Cabinda, one can find urban concentration and rural shortages of healthcare professionals, many rural areas' healthcare facilities often secured only by basic or medium level HRH; and difficulties in developing HRH retention strategies in rural areas where most services are covered by foreign HRH. This study aims at analysing the situation of HRH in the province of Cabinda. It considers organizational issues, policies and practices resulting from the HRH strategy followed in the recent years, moreover the creation of a medical school. The context that affects the distribution of the health workforce is analysed to contribute to the development of evidence-based policies that promote a better HRH allocation in the poorest and distant villages in the province. A mixed-methods study was developed, combining a quantitative and qualitative approach to analyse HRH situation in the province of Cabinda. Data was collected from key informants, selected by intentional sampling from public and private health organizations, to respond to a questionnaire and a semi-structured interview. Quantitative and qualitative data was analysed with descriptive and inferential statistics and content analysis respectively. The study was complemented by a comprehensive desk review. Results show a clear change in HRH data from 2011 to 2015 with significant fluctuations due to variations in retirement, migration and lack of regular public HRH recruitment tenders. HRH density is apparently better in rural when compared with urban areas. However, one should bear in mind that often HRH allocated to rural areas do not stay there, which leads to real geographical imbalances. Factors like lack of proper incentives for HRH retention and social support goes against significant HRH management efforts contributing to this result. Whereas HRH are financed by the State General Budget, the majority of health facilities are still dependent on the Provincial Health Secretariat budget. The study provides a broader view of the current HRH situation in Cabinda Province. Geographical imbalances and other issues with impact in delivering universal access to healthcare are highlighted.

D-dimers (DD) in CVST.

PubMed

Wang, Hui Fang; Pu, Chuan Qiang; Yin, Xi; Tian, Cheng Lin; Chen, Ting; Guo, Jun Hong; Shi, Qiang

2017-06-01

We were interested in further confirming whether D-dimers (DD) are indeed elevated in cerebral venous sinus thrombosis (CVST) as reported in those studies. CVST patients who had a plasma D-dimer test (139 cases) were included and divided into two groups: elevated D-dimer group (EDG) (>0.5 μg/mL; 65 cases) and normal D-dimer group (NDG) (≤0.5 μg/mL; 74 cases). The two groups were compared in terms of demographic data, clinical manifestation, laboratory and imaging data, using inferential statistical methods. The chi-squared and Fisher exact test showed that, compared to the NDG (74 cases), patients with elevated D-dimer levels were more likely to have a shorter symptom duration (SD) (30 ± 83.9 versus 90 ± 58.9 d, p = 0.003), more risk factors (75.4% versus 52.7%, p = 0.006), higher multiple venous sinus involvement (75.4% versus 59.5%, p = 0.037), increased fibrinogen (43.1% versus 18.9%, p = 0.037) and higher levels of blood glucose (18.3% versus 11%, p = 0.037). According to correlation analyses, D-dimer levels were positively correlated with number of venous sinuses involvement (NVS) (r = 0.321, p = 0.009) in the EDG. Multivariate logistic regression analysis showed that SD (OR, 0.025; 95% CI, 1.324-6.043; p = 0.000), NVS (OR, 1.573; 95% CI, 1.15-2.151; p = 0.005) and risk factors (OR, 3.321; 95% CI, 1.451-7.564; p = 0.004) were significantly different between the two groups. D-dimer is elevated in patients with acute/subacute CVST.

Speech pathologists' experiences with stroke clinical practice guidelines and the barriers and facilitators influencing their use: a national descriptive study.

PubMed

Hadely, Kathleen A; Power, Emma; O'Halloran, Robyn

2014-03-06

Communication and swallowing disorders are a common consequence of stroke. Clinical practice guidelines (CPGs) have been created to assist health professionals to put research evidence into clinical practice and can improve stroke care outcomes. However, CPGs are often not successfully implemented in clinical practice and research is needed to explore the factors that influence speech pathologists' implementation of stroke CPGs. This study aimed to describe speech pathologists' experiences and current use of guidelines, and to identify what factors influence speech pathologists' implementation of stroke CPGs. Speech pathologists working in stroke rehabilitation who had used a stroke CPG were invited to complete a 39-item online survey. Content analysis and descriptive and inferential statistics were used to analyse the data. 320 participants from all states and territories of Australia were surveyed. Almost all speech pathologists had used a stroke CPG and had found the guideline "somewhat useful" or "very useful". Factors that speech pathologists perceived influenced CPG implementation included the: (a) guideline itself, (b) work environment, (c) aspects related to the speech pathologist themselves, (d) patient characteristics, and (e) types of implementation strategies provided. There are many different factors that can influence speech pathologists' implementation of CPGs. The factors that influenced the implementation of CPGs can be understood in terms of knowledge creation and implementation frameworks. Speech pathologists should continue to adapt the stroke CPG to their local work environment and evaluate their use. To enhance guideline implementation, they may benefit from a combination of educational meetings and resources, outreach visits, support from senior colleagues, and audit and feedback strategies.

Cognitive problem solving patterns of medical students correlate with success in diagnostic case solutions.

PubMed

Kiesewetter, Jan; Ebersbach, René; Görlitz, Anja; Holzer, Matthias; Fischer, Martin R; Schmidmaier, Ralf

2013-01-01

Problem-solving in terms of clinical reasoning is regarded as a key competence of medical doctors. Little is known about the general cognitive actions underlying the strategies of problem-solving among medical students. In this study, a theory-based model was used and adapted in order to investigate the cognitive actions in which medical students are engaged when dealing with a case and how patterns of these actions are related to the correct solution. Twenty-three medical students worked on three cases on clinical nephrology using the think-aloud method. The transcribed recordings were coded using a theory-based model consisting of eight different cognitive actions. The coded data was analysed using time sequences in a graphical representation software. Furthermore the relationship between the coded data and accuracy of diagnosis was investigated with inferential statistical methods. The observation of all main actions in a case elaboration, including evaluation, representation and integration, was considered a complete model and was found in the majority of cases (56%). This pattern significantly related to the accuracy of the case solution (φ = 0.55; p<.001). Extent of prior knowledge was neither related to the complete model nor to the correct solution. The proposed model is suitable to empirically verify the cognitive actions of problem-solving of medical students. The cognitive actions evaluation, representation and integration are crucial for the complete model and therefore for the accuracy of the solution. The educational implication which may be drawn from this study is to foster students reasoning by focusing on higher level reasoning.

Effects of Aerobic Exercise on the Pulmonary Functions, Respiratory Symptoms and Psychological Status of People Living With HIV.

PubMed

Aweto, Happiness Anulika; Aiyegbusi, Ayoola Ibifubara; Ugonabo, Adaora Justina; Adeyemo, Titilope Adenike

2016-01-01

Pulmonary complications, respiratory symptoms and depression are common occurrences which contribute to the morbidity and mortality seen in individuals living with HIV/AIDS. This study investigated the effect of aerobic exercise on the pulmonary functions, respiratory symptoms and psychological status of people living with HIV. This study was conducted in Lagos, Nigeria from October 2014 to May 2015. Forty eligible individuals with HIV aged 18 yr and above participated, of which 33 cooperated to the end. They were recruited from the HIV/AIDS Prevention and Intervention Initiative (APIN) Clinic, Lagos University Teaching Hospital, Nigeria and were randomly assigned to either the study or the control group. The study group received aerobic exercise training three times a week for six weeks and counselling while the control group received only counselling. Pulmonary functions, respiratory symptoms and psychological status were evaluated at baseline and at six weeks. Inferential statistics of paired and independent t-test were used to analyse the data. Comparison of mean changes in the pulmonary variables of the study group with those of the control group showed significant differences in all but in the respiratory rate (RR) - [Forced Expiratory Volume in one second: P=0.001, Forced Vital Capacity: P=0.001, Peak Expiratory Flow: P=0.001]. There were also significant differences between the mean changes in respiratory symptoms (P=0.001) and depressive symptoms (P=0.001) of study group and those of the control group. Aerobic exercise training significantly improved pulmonary functions as well as significantly reduced respiratory and depressive symptoms in people living with HIV.

Nurses' perceptions of workplace culture in primary health care in Finland.

PubMed

Hahtela, N; Paavilainen, E; McCormack, B; Helminen, M; Slater, P; Suominen, T

2015-12-01

This study aimed to describe nurses' perceptions of workplace culture, especially in regard to stress levels, job satisfaction and the practice environment in primary health care. Health care is facing many challenges related to its attractiveness as a place of employment and the maintenance of a sufficient workforce supply. Previous studies report increasing rates of nurse job dissatisfaction and intentions to leave their current positions both in Finland and also globally. Improving workplace culture is thus vital in meeting the challenges related to recruitment and retention. A cross-sectional descriptive design was used to describe nurses' perceptions of workplace culture. Data were collected by questionnaire from 22 units in nine primary healthcare organizations in Finland, and analysed using descriptive and inferential statistics. Most of the respondents indicated that they were not certain whether their workplace culture was either positive or negative. Profession, age and work shift characteristics had an effect on the respondents' perceptions of workplace culture. Younger licensed practical and registered nurses assessed their workplace culture more positively, whereas older registered nurses and those working rotating rosters viewed workplace culture more negatively. The findings suggest that both unit and demographic characteristics affect workplace culture. This survey highlights that a positive workplace culture is one of the key factors in retaining and recruiting nurses, and provides an essential evidence that may be considered by other healthcare organizations. Nurse managers and healthcare leaders need to address workload management and take into account the related variables that affect a unit's workplace culture. © 2015 International Council of Nurses.

The roles of men in family planning - a study of married men at the UKM primary care clinic.

PubMed

Ling, Jes; Tong, S F

2017-01-01

Traditionally, family planning initiatives were concentrated on women despite it being a family matter. As family dynamics evolved over the years, fathers' involvement in family planning has become crucial in enhancing the family well-being. This study aimed to identify the role played by men in family planning activities and the association of socio-economic characteristics with these roles. This was a cross-sectional study carried out in a university primary care clinic. All married male attendees to the clinic, aged 50 years and below, were approached to answer a set of self-administered questionnaires, asking for their involvement in family planning practices. The data were analysed using descriptive and inferential statistics. There were 167 participants in the study. A high proportion of men participated in the discussions regarding previous pregnancies (60.42%), future child planning (89.76%) and desired family size (89.76%). However, the discussions on the usage of family planning methods (FPMs; 39.16%) were significantly low. Socio-economic factors associated with higher likelihood of men discussing family planning activities were older age ( p < 0.0), higher education level ( p = 0.010), higher monthly income ( p < 0.001) and longer duration of marriage ( p = 0.0049). The level of participation of men varied in the discussions of four family planning activities. The roles taken by men in family planning were associated with older age and higher socio-economic class. The majority of men needs to be encouraged to play a more active role in the discussion of FPMs.

Perceptions of medical school graduates and students regarding their academic preparation to teach.

PubMed

Henry, B W; Haworth, J G; Hering, P

2006-09-01

How medical students learn and develop the characteristics associated with good teaching in medicine is not well known. Information about this process can improve the academic preparation of medical students for teaching responsibilities. The purpose of this study was to determine how different experiences contributed to the knowledge, skills, and attitudes of medical school graduates and students regarding medical teaching. A questionnaire was developed, addressing reliability and validity considerations, and given to first year residents and third year medical students (taught by those residents). Completed questionnaires were collected from 76 residents and 110 students (81% of the sample group). Item responses were analysed using descriptive and inferential statistics. Most residents (n = 54; 71%) positively viewed opportunities they had to practice teaching when they were seniors. Residents rated three activities for learning to teach highest: (1) observing teachers as they teach; (2) reviewing the material to be taught; and (3) directly teaching students; representing both individual and participatory ways of learning. Residents' self ratings of teaching behaviours improved over time and this self assessment by the residents was validated by the students' responses. Comparison between residents' self ratings and students' views of typical resident teaching behaviours showed agreement on levels of competence, confidence, and motivation. The students rated characteristics of enthusiasm, organisation, and fulfilment lower (p<0.002) than residents rated themselves. The residents and students in this study viewed academic preparation for teaching responsibilities positively and showed agreement on characteristics of good teaching that may be helpful indicators in the process of developing medical teachers.

Alterations in behaviour, cerebral cortical morphology and cerebral oxidative stress markers following aspartame ingestion.

PubMed

Onaolapo, Adejoke Y; Onaolapo, Olakunle J; Nwoha, Polycarp U

2016-12-01

The study evaluated changes in open field behaviours, cerebral cortical histomorphology and biochemical markers of oxidative stress following repeated administration of aspartame in mice. Adult mice were assigned into five groups of twelve each. Vehicle (distilled water), or aspartame (20, 40, 80 and 160mg/kg body weight) were administered orally for 28days. Horizontal locomotion, rearing and grooming were assessed after the first and last dose of aspartame. Sections of the cerebral cortex were processed and stained for general histology, and also examined for neuritic plaques using the Bielschwosky's protocol. Glial fibrillary acidic protein (GFAP) and neuron specific enolase (NSE) immunoreactivity were assessed using appropriate antibodies. Aspartate and antioxidant levels were also assayed from cerebral cortex homogenates. Data obtained were analysed using descriptive and inferential statistics. Body weight and food consumption decreased significantly with aspartame consumption. Locomotion, rearing and grooming increased significantly after first dose, and with repeated administration of aspartame. Histological changes consistent with neuronal damage were seen at 40, 80 and 160mg/kg. Neuritic plaque formation was not evident; while GFAP-reactive astrocytes and NSE-reactive neurons increased at 40 and 80mg/kg but decreased at 160mg/kg. Superoxide dismutase and nitric oxide increased with increasing doses of aspartame, while aspartate levels showed no significant difference. The study showed morphological alterations consistent with neuronal injury and biochemical changes of oxidative stress. These data therefore supports the need for caution in the indiscriminate use of aspartame as a non-nutritive sweetener. Copyright © 2016 Elsevier B.V. All rights reserved.

Employers' and employees' views on responsibilities for career management in nursing: a cross-sectional survey.

PubMed

Philippou, Julia

2015-01-01

To examine nurse employees' and employers' views about responsibilities for managing nurses' careers. Career management policies are associated with cost savings, in terms of workforce recruitment and retention and an increase in job and career satisfaction. In nursing, responsibility for career management remains relatively unexplored. A multicenter, cross-sectional questionnaire survey. Data were collected from 871 nurse employees and employers in the British National Health Service. The study was conducted in 2008, a period when policy reforms aimed at modernizing the healthcare workforce in England. In the current discussions in Europe and the USA about the future of nursing, these data reveal insights not previously reported. Exploratory analyses were undertaken using descriptive and inferential statistics. The analysis indicated a temporal dimension to career management responsibilities. Short-term responsibilities for securing funding and time for development lay more with employers. Medium-term responsibilities for assessing nurses' strengths and weakness, determining job-related knowledge and skills and identifying education and training needs appeared to be shared. Long-term responsibilities for developing individual careers and future development plans lay primarily with employees. New ways of managing nurses' career development that lead to greater independence for employees and greater flexibility for employers, while retaining a high-calibre and competent workforce, are needed. Ultimately, career management responsibilities should not tilt to either side but rather be shared to benefit both parties. Clarifying employers' and employees' responsibilities for career management may help both parties to develop a common understanding of each other's role and to meet their obligations in a constructive dialogue. © 2014 John Wiley & Sons Ltd.

Female and Male Perspectives on the Neolithic Transition in Europe: Clues from Ancient and Modern Genetic Data

PubMed Central

Rasteiro, Rita; Chikhi, Lounès

2013-01-01

The arrival of agriculture into Europe during the Neolithic transition brought a significant shift in human lifestyle and subsistence. However, the conditions under which the spread of the new culture and technologies occurred are still debated. Similarly, the roles played by women and men during the Neolithic transition are not well understood, probably due to the fact that mitochondrial DNA (mtDNA) and Y chromosome (NRY) data are usually studied independently rather than within the same statistical framework. Here, we applied an integrative approach, using different model-based inferential techniques, to analyse published datasets from contemporary and ancient European populations. By integrating mtDNA and NRY data into the same admixture approach, we show that both males and females underwent the same admixture history and both support the demic diffusion model of Ammerman and Cavalli-Sforza. Similarly, the patterns of genetic diversity found in extant and ancient populations demonstrate that both modern and ancient mtDNA support the demic diffusion model. They also show that population structure and differential growth between farmers and hunter-gatherers are necessary to explain both types of data. However, we also found some differences between male and female markers, suggesting that the female effective population size was larger than that of the males, probably due to different demographic histories. We argue that these differences are most probably related to the various shifts in cultural practices and lifestyles that followed the Neolithic Transition, such as sedentism, the shift from polygyny to monogamy or the increase of patrilocality. PMID:23613761

Trauma and fear in Australian midwives.

PubMed

Toohill, J; Fenwick, J; Sidebotham, M; Gamble, J; Creedy, D K

2018-05-11

Relatively little is known about the extent of trauma and birth-related fear in midwives and how this might affect practice. (1) Determine prevalence of birth related trauma and fear in midwives and associations with midwives' confidence to advise women during pregnancy of their birth options and to provide care in labour. (2) Describe midwives' experiences of birth related trauma and/or fear. A mixed methods design. A convenience sample of midwives (n=249) completed an anonymous online survey. Descriptive and inferential statistics were used to analyse the quantitative data. Latent content analysis was used to extrapolate meaning from the 170 midwives who wrote about their experiences of personal and/or professional trauma. The majority of midwives (93.6%) reported professional (n=199, 85.4%) and/or personal (n=97, 41.6%) traumatic birth experiences. Eight percent (n=20) reported being highly fearful of birth. Trauma was not associated with practice concerns but fear was. Midwives categorised as having 'high fear' reported more practice concerns (Med 23.5, n=20) than midwives with 'low fear' (Med 8, n=212) (U=1396, z=-3.79, p<0.001, r=0.24). Reasons for personal trauma included experiencing assault, intervention and stillbirth. Professional trauma related to both witnessing and experiencing disrespectful care and subsequently feeling complicit in the provision of poor care. Feeling unsupported in the workplace and fearing litigation intensified trauma. High fear was associated with lower confidence to support childbearing women. Fear and trauma in midwives warrants further investigation to better understand the impact on professional practice. Copyright © 2018 Australian College of Midwives. Published by Elsevier Ltd. All rights reserved.

A content analysis of research published in the Journal of Research in Science Teaching from 1985 through 1989

NASA Astrophysics Data System (ADS)

Horton, Phillip B.; McConney, Andrew A.; Woods, Amanda L.; Barry, Kevin; Krout, Homer L., II; Doyle, Barbara K.

To determine if actual practice was consistent with commonly recommended research methods and procedures, this study examined 130 studies reported over a 5-year period in three volumes of the Journal of Research in Science Teaching (JRST). The results were consistent with similar previous analyses (Shaver & Norton, 1980a, 1980b; Wallen & Fraenkel, 1988a) and indicate that appropriate generalizations beyond the confines of the reported studies may be impossible for most (64%) of the JRST studies surveyed. The findings also show that replication studies, which could be employed to offset deficiencies in generalizability, were not commonly encountered (3%) in these 130 reports. In addition, the study results indicate that many researchers (48%) do not properly restrict their conclusions based on the limits imposed by the accessible populations and samples used; nor do they typically provide possible alternative explanations for the outcomes obtained (76%). These findings prompt the following recommendations:1. A greater awareness and use of replication as a check on generalizability should be encouraged by the science education community.2. Clearly defined populations (target and accessible) and fully described samples warrant increased attention as report components from authors, reviewers, and editorial board members of JRST.3. In light of the difficulties inherent in effecting random selection in educational settings, a greater emphasis should be placed on recognizing the limits that the underlying assumptions of inferential statistics place on research conclusions.The results of this study indicate that the methodological quality of published science education research should remain a concern for both practitioners and readers.

Factors associated with disordered gambling in Finland

PubMed Central

2013-01-01

Background The purpose of this study was to compare the socio-demographic characteristics of non-problem gamblers, problem gamblers and pathological gamblers, to investigate the association between gambling related factors and perceived health and well-being among the three subgroups of gamblers, and to analyse simultaneously socio-demographic characteristics, gambling related factors and perceived health and well-being and the severity of disordered gambling (problem gamblers and pathological gamblers). Methods The data were collected through a nationwide telephone survey in 2011. Participants were selected through a random population sample of 15-74-year-old Finns. From that sample, persons with any past-year gambling involvement (N = 3451) were selected for a subsample for the descriptive and inferential analysis in the present paper. Gambling was assessed using the South Oaks Gambling Screen. Statistical significance was determined by chi-squared tests. The odds ratio and effect size were computed by using multivariate-adjusted multinomial logistic regression analysis. Results The most significant socio-demographic characteristics (male gender, young age, education ≤12 years), gambling related factors (slot machine gambling, internet gambling) and perceived health and well-being (feeling lonely, smoking daily, risky alcohol consumption, mental health problems) explained 22.9 per cent of the variation in the severity of disordered gambling. Conclusion Male gender and loneliness were found to be associated with problem gambling in particular, along with smoking and risky alcohol consumption. Mental health problems and risky alcohol consumption were associated with pathological gambling. These identified associations between disordered gambling, mental health problems and risky alcohol consumption should be taken into consideration when implementing screenings of disordered gambling. PMID:23816162

Psychosocial impact of wheelchair usage on individuals with mobility disability in Ibadan, Nigeria.

PubMed

Hamzat, T K; Olaleye, O A; Agbomeji, O T

2015-03-01

Wheelchairs provide individuals with mobility impairments opportunity for independent living within their environment. However, using this device may have psychosocial impacts with consequent influence on the quality of life of the users. The psychosocial impact of wheelchair usage among individuals with mobility disability in a Nigerian community was investigated. The study is a descriptive cross-sectional survey. People who have been independent users of wheelchair for a minimum of six months prior to the study were recruited from centres for people with disabilities in Ibadan, Nigeria into the study. A profile of their use of the device was documented and the psychosocial impact of wheelchair was assessed using the Psychosocial Impact ofAssistive Devices Scale. Data were analysed using descriptive and inferential statistics at p = 0.05. Sixty consenting individuals with mobility disability participated in this study. Their mean age was 38.7 +/- 14.1 years. Majority (90%) were manual wheelchair users and two-thirds (63.3%) had been using the wheelchair for < or = five years. Approximately a third of the participants use their wheelchairs occasionally. There was no significant difference (p=0.26) in the psychosocial impact of wheelchair usage between male and female users. The psychosocial impact of wheelchair was similar between male and female users. However, the impact was higher on the self-esteem of male than female users and lower on their competence than that of their female counterparts. This may be due to stigmatization or a culturally-related unwillingness of men in our environment to be dependent on others.

Female and male perspectives on the neolithic transition in Europe: clues from ancient and modern genetic data.

PubMed

Rasteiro, Rita; Chikhi, Lounès

2013-01-01

The arrival of agriculture into Europe during the Neolithic transition brought a significant shift in human lifestyle and subsistence. However, the conditions under which the spread of the new culture and technologies occurred are still debated. Similarly, the roles played by women and men during the Neolithic transition are not well understood, probably due to the fact that mitochondrial DNA (mtDNA) and Y chromosome (NRY) data are usually studied independently rather than within the same statistical framework. Here, we applied an integrative approach, using different model-based inferential techniques, to analyse published datasets from contemporary and ancient European populations. By integrating mtDNA and NRY data into the same admixture approach, we show that both males and females underwent the same admixture history and both support the demic diffusion model of Ammerman and Cavalli-Sforza. Similarly, the patterns of genetic diversity found in extant and ancient populations demonstrate that both modern and ancient mtDNA support the demic diffusion model. They also show that population structure and differential growth between farmers and hunter-gatherers are necessary to explain both types of data. However, we also found some differences between male and female markers, suggesting that the female effective population size was larger than that of the males, probably due to different demographic histories. We argue that these differences are most probably related to the various shifts in cultural practices and lifestyles that followed the Neolithic Transition, such as sedentism, the shift from polygyny to monogamy or the increase of patrilocality.

Fine-grained semantic categorization across the abstract and concrete domains.

PubMed

Ghio, Marta; Vaghi, Matilde Maria Serena; Tettamanti, Marco

2013-01-01

A consolidated approach to the study of the mental representation of word meanings has consisted in contrasting different domains of knowledge, broadly reflecting the abstract-concrete dichotomy. More fine-grained semantic distinctions have emerged in neuropsychological and cognitive neuroscience work, reflecting semantic category specificity, but almost exclusively within the concrete domain. Theoretical advances, particularly within the area of embodied cognition, have more recently put forward the idea that distributed neural representations tied to the kinds of experience maintained with the concepts' referents might distinguish conceptual meanings with a high degree of specificity, including those within the abstract domain. Here we report the results of two psycholinguistic rating studies incorporating such theoretical advances with two main objectives: first, to provide empirical evidence of fine-grained distinctions within both the abstract and the concrete semantic domains with respect to relevant psycholinguistic dimensions; second, to develop a carefully controlled linguistic stimulus set that may be used for auditory as well as visual neuroimaging studies focusing on the parametrization of the semantic space beyond the abstract-concrete dichotomy. Ninety-six participants rated a set of 210 sentences across pre-selected concrete (mouth, hand, or leg action-related) and abstract (mental state-, emotion-, mathematics-related) categories, with respect either to different semantic domain-related scales (rating study 1), or to concreteness, familiarity, and context availability (rating study 2). Inferential statistics and correspondence analyses highlighted distinguishing semantic and psycholinguistic traits for each of the pre-selected categories, indicating that a simple abstract-concrete dichotomy is not sufficient to account for the entire semantic variability within either domains.

Fine-Grained Semantic Categorization across the Abstract and Concrete Domains

PubMed Central

Tettamanti, Marco

2013-01-01

A consolidated approach to the study of the mental representation of word meanings has consisted in contrasting different domains of knowledge, broadly reflecting the abstract-concrete dichotomy. More fine-grained semantic distinctions have emerged in neuropsychological and cognitive neuroscience work, reflecting semantic category specificity, but almost exclusively within the concrete domain. Theoretical advances, particularly within the area of embodied cognition, have more recently put forward the idea that distributed neural representations tied to the kinds of experience maintained with the concepts' referents might distinguish conceptual meanings with a high degree of specificity, including those within the abstract domain. Here we report the results of two psycholinguistic rating studies incorporating such theoretical advances with two main objectives: first, to provide empirical evidence of fine-grained distinctions within both the abstract and the concrete semantic domains with respect to relevant psycholinguistic dimensions; second, to develop a carefully controlled linguistic stimulus set that may be used for auditory as well as visual neuroimaging studies focusing on the parametrization of the semantic space beyond the abstract-concrete dichotomy. Ninety-six participants rated a set of 210 sentences across pre-selected concrete (mouth, hand, or leg action-related) and abstract (mental state-, emotion-, mathematics-related) categories, with respect either to different semantic domain-related scales (rating study 1), or to concreteness, familiarity, and context availability (rating study 2). Inferential statistics and correspondence analyses highlighted distinguishing semantic and psycholinguistic traits for each of the pre-selected categories, indicating that a simple abstract-concrete dichotomy is not sufficient to account for the entire semantic variability within either domains. PMID:23825625

"Unscrambling what's in your head": A mixed method evaluation of clinical supervision for midwives.

PubMed

Love, Bev; Sidebotham, Mary; Fenwick, Jennifer; Harvey, Susan; Fairbrother, Greg

2017-08-01

As a strategy to promote workforce sustainability a number of midwives working in one health district in New South Wales, Australia were trained to offer a reflective model of clinical supervision. The expectation was that these midwives would then be equipped to facilitate clinical supervision for their colleagues with the organisational aim of supporting professional development and promoting emotional well-being. To identify understanding, uptake, perceptions of impact, and the experiences of midwives accessing clinical supervision. Mixed Methods. In phase one 225 midwives were invited to complete a self-administered survey. Descriptive and inferential statistics were used to analyse the data. In phase two 12 midwives were interviewed. Thematic analysis was used to deepen understanding of midwives' experiences of receiving clinical supervision. Sixty percent of midwives responding in phase one had some experience of clinical supervision. Findings from both phases were complementary with midwives reporting a positive impact on their work, interpersonal skills, situational responses and career goals. Midwives described clinical supervision as a formal, structured and confidential space for 'safe reflection' that was valued as an opportunity for self-care. Barriers included misconceptions, perceived work related pressures and a sense that taking time out was unjustifiable. Education, awareness raising and further research into reflective clinical supervision, to support emotional well-being and professional midwifery practice is needed. In addition, health organisations need to design, implement and evaluate strategies that support the embedding of clinical supervision within midwives' clinical practice. Copyright © 2016 Australian College of Midwives. Published by Elsevier Ltd. All rights reserved.

Sexual Knowledge and Attitude among Girls Who are Getting Married Based on the Information from Yas Pre-marriage Counseling Center.

PubMed

Baghersad, Zahra; Fahami, Fariba; Beigi, Marjan; Hasanzadeh, Akbar

2017-01-01

High prevalence of sexual dysfunction results from inadequate knowledge or inappropriate attitude toward the natural phenomenon of sexual desire. This study aimed to define sexual knowledge and attitude among girls who were getting married and referred to Yas pre-marriage counseling center. This research was a descriptive analytical study. The information of 165 girls, who were about to get married, were collected through convenient sampling using a researcher-made questionnaire. Data were analyzed using SPSS version 16 software. Inferential statistical method and Pearson correlation were used for data analysis. Results showed that the mean scores of sexual knowledge and attitude among the participants were 57.42 and 69.02, respectively. There was a significant association between the mean scores of sexual knowledge and sexual attitude ( P < 0.001, r = 0.63). Results showed that the participants had relatively appropriate knowledge and attitude toward sexual relationship.

Alcoholic beverages drinking among female students in a tourist province, Thailand.

PubMed

Kittipichai, Wirin; Sataporn, Hatairat; Sirichotiratana, Nithat; Charupoonphol, Phitaya

2011-12-29

This study aimed to investigate alcoholic beverages drinking and predictive factors among female students. The participants were 377 subjects from 3 high schools in a tourist province, of Thailand. Data collection was done through self-administered questionnaire. Scales of the questionnaire had reliability coefficients ranging from 0.84 - 0.88. The data were analyzed by using descriptive and inferential statistics. The findings revealed as follows. About half (51%) of them have ever drunk and 10.5% of drinkers have drunk once a week. In addition, 15.6% of drinkers began their first drink when they were under 10 years old. Risk factors for alcohol consumption of female student were age, GPA, drinker in family, peer pressure, advertisement and accessibility to alcoholic beverages while protective factors were perception of drinking impacts on family and moral values. Students who have a drinking family member were 4.6 times more likely to drink than those who do not have.

How accurately can other people infer your thoughts-And does culture matter?

PubMed

Valanides, Constantinos; Sheppard, Elizabeth; Mitchell, Peter

2017-01-01

This research investigated how accurately people infer what others are thinking after observing a brief sample of their behaviour and whether culture/similarity is a relevant factor. Target participants (14 British and 14 Mediterraneans) were cued to think about either positive or negative events they had experienced. Subsequently, perceiver participants (16 British and 16 Mediterraneans) watched videos of the targets thinking about these things. Perceivers (both groups) were significantly accurate in judging when targets had been cued to think of something positive versus something negative, indicating notable inferential ability. Additionally, Mediterranean perceivers were better than British perceivers in making such inferences, irrespective of nationality of the targets, something that was statistically accounted for by corresponding group differences in levels of independently measured collectivism. The results point to the need for further research to investigate the possibility that being reared in a collectivist culture fosters ability in interpreting others' behaviour.