Still against Inferential Statistics: Rejoinder to Nicholson and Ridgway

ERIC Educational Resources Information Center

Gorard, Stephen; White, Patrick

2017-01-01

In their response to our paper, Nicholson and Ridgway agree with the majority of what we wrote. They echo our concerns about the misuse of inferential statistics and NHST in particular. Very little of their response explicitly challenges the points we made but where it does their defence of the use of inferential techniques does not stand up to…

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,…

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…

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.

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…

Lessons from Inferentialism for Statistics Education

ERIC Educational Resources Information Center

Bakker, Arthur; Derry, Jan

2011-01-01

This theoretical paper relates recent interest in informal statistical inference (ISI) to the semantic theory termed inferentialism, a significant development in contemporary philosophy, which places inference at the heart of human knowing. This theory assists epistemological reflection on challenges in statistics education encountered when…

Prison Radicalization: The New Extremist Training Grounds?

DTIC Science & Technology

2007-09-01

distributing and collecting survey data , and the data analysis. The analytical methodology includes descriptive and inferential statistical methods, in... statistical analysis of the responses to identify significant correlations and relationships. B. SURVEY DATA COLLECTION To effectively access a...Q18, Q19, Q20, and Q21. Due to the exploratory nature of this small survey, data analyses were confined mostly to descriptive statistics and

Using a Five-Step Procedure for Inferential Statistical Analyses

ERIC Educational Resources Information Center

Kamin, Lawrence F.

2010-01-01

Many statistics texts pose inferential statistical problems in a disjointed way. By using a simple five-step procedure as a template for statistical inference problems, the student can solve problems in an organized fashion. The problem and its solution will thus be a stand-by-itself organic whole and a single unit of thought and effort. The…

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…

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…

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.

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…

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.

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…

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…

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…

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…

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…

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:…

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.

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…

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.

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…

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.

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.

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.

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…

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…

[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.

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

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.

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.

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.

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

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.

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

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.

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.

Significance Testing Needs a Taxonomy: Or How the Fisher, Neyman-Pearson Controversy Resulted in the Inferential Tail Wagging the Measurement Dog.

PubMed

Bradley, Michael T; Brand, Andrew

2016-10-01

Accurate measurement and a cutoff probability with inferential statistics are not wholly compatible. Fisher understood this when he developed the F test to deal with measurement variability and to make judgments on manipulations that may be worth further study. Neyman and Pearson focused on modeled distributions whose parameters were highly determined and concluded that inferential judgments following an F test could be made with accuracy because the distribution parameters were determined. Neyman and Pearson's approach in the application of statistical analyses using alpha and beta error rates has played a dominant role guiding inferential judgments, appropriately in highly determined situations and inappropriately in scientific exploration. Fisher tried to explain the different situations, but, in part due to some obscure wording, generated a long standing dispute that currently has left the importance of Fisher's p < .05 criteria not fully understood and a general endorsement of the Neyman and Pearson error rate approach. Problems were compounded with power calculations based on effect sizes following significant results entering into exploratory science. To understand in a practical sense when each approach should be used, a dimension reflecting varying levels of certainty or knowledge of population distributions is presented. The dimension provides a taxonomy of statistical situations and appropriate approaches by delineating four zones that represent how well the underlying population of interest is defined ranging from exploratory situations to highly determined populations. © The Author(s) 2016.

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.

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.)

Statistical limitations in functional neuroimaging. I. Non-inferential methods and statistical models.

PubMed Central

Petersson, K M; Nichols, T E; Poline, J B; Holmes, A P

1999-01-01

Functional neuroimaging (FNI) provides experimental access to the intact living brain making it possible to study higher cognitive functions in humans. In this review and in a companion paper in this issue, we discuss some common methods used to analyse FNI data. The emphasis in both papers is on assumptions and limitations of the methods reviewed. There are several methods available to analyse FNI data indicating that none is optimal for all purposes. In order to make optimal use of the methods available it is important to know the limits of applicability. For the interpretation of FNI results it is also important to take into account the assumptions, approximations and inherent limitations of the methods used. This paper gives a brief overview over some non-inferential descriptive methods and common statistical models used in FNI. Issues relating to the complex problem of model selection are discussed. In general, proper model selection is a necessary prerequisite for the validity of the subsequent statistical inference. The non-inferential section describes methods that, combined with inspection of parameter estimates and other simple measures, can aid in the process of model selection and verification of assumptions. The section on statistical models covers approaches to global normalization and some aspects of univariate, multivariate, and Bayesian models. Finally, approaches to functional connectivity and effective connectivity are discussed. In the companion paper we review issues related to signal detection and statistical inference. PMID:10466149

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

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

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

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.

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…

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.

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

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.

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…

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…

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.

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…

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

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…

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…

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.

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.

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.

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…

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.

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.

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)

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…

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.

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

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.

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.

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…

Inferential Statistics in "Language Teaching Research": A Review and Ways Forward

ERIC Educational Resources Information Center

Lindstromberg, Seth

2016-01-01

This article reviews all (quasi)experimental studies appearing in the first 19 volumes (1997-2015) of "Language Teaching Research" (LTR). Specifically, it provides an overview of how statistical analyses were conducted in these studies and of how the analyses were reported. The overall conclusion is that there has been a tight adherence…

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…

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.

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.

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

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…

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.

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.

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.

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…

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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 ‘‘...

Power, effects, confidence, and significance: an investigation of statistical practices in nursing research.

PubMed

Gaskin, Cadeyrn J; Happell, Brenda

2014-05-01

To (a) assess the statistical power of nursing research to detect small, medium, and large effect sizes; (b) estimate the experiment-wise Type I error rate in these studies; and (c) assess the extent to which (i) a priori power analyses, (ii) effect sizes (and interpretations thereof), and (iii) confidence intervals were reported. Statistical review. Papers published in the 2011 volumes of the 10 highest ranked nursing journals, based on their 5-year impact factors. Papers were assessed for statistical power, control of experiment-wise Type I error, reporting of a priori power analyses, reporting and interpretation of effect sizes, and reporting of confidence intervals. The analyses were based on 333 papers, from which 10,337 inferential statistics were identified. The median power to detect small, medium, and large effect sizes was .40 (interquartile range [IQR]=.24-.71), .98 (IQR=.85-1.00), and 1.00 (IQR=1.00-1.00), respectively. The median experiment-wise Type I error rate was .54 (IQR=.26-.80). A priori power analyses were reported in 28% of papers. Effect sizes were routinely reported for Spearman's rank correlations (100% of papers in which this test was used), Poisson regressions (100%), odds ratios (100%), Kendall's tau correlations (100%), Pearson's correlations (99%), logistic regressions (98%), structural equation modelling/confirmatory factor analyses/path analyses (97%), and linear regressions (83%), but were reported less often for two-proportion z tests (50%), analyses of variance/analyses of covariance/multivariate analyses of variance (18%), t tests (8%), Wilcoxon's tests (8%), Chi-squared tests (8%), and Fisher's exact tests (7%), and not reported for sign tests, Friedman's tests, McNemar's tests, multi-level models, and Kruskal-Wallis tests. Effect sizes were infrequently interpreted. Confidence intervals were reported in 28% of papers. The use, reporting, and interpretation of inferential statistics in nursing research need substantial improvement. Most importantly, researchers should abandon the misleading practice of interpreting the results from inferential tests based solely on whether they are statistically significant (or not) and, instead, focus on reporting and interpreting effect sizes, confidence intervals, and significance levels. Nursing researchers also need to conduct and report a priori power analyses, and to address the issue of Type I experiment-wise error inflation in their studies. Crown Copyright © 2013. Published by Elsevier Ltd. All rights reserved.

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…

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

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

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

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,…

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…

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.

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.

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.

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.

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.

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.

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.

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.

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

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.

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.

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…

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

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.

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.

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

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.

[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.

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.

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

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.

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…

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…

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…

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…

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.

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.

Multiple Correlation versus Multiple Regression.

ERIC Educational Resources Information Center

Huberty, Carl J.

2003-01-01

Describes differences between multiple correlation analysis (MCA) and multiple regression analysis (MRA), showing how these approaches involve different research questions and study designs, different inferential approaches, different analysis strategies, and different reported information. (SLD)

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

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.

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.

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…

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.

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.

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.

Probability distributions of bed load particle velocities, accelerations, hop distances, and travel times informed by Jaynes's principle of maximum entropy

USGS Publications Warehouse

Furbish, David; Schmeeckle, Mark; Schumer, Rina; Fathel, Siobhan

2016-01-01

We describe the most likely forms of the probability distributions of bed load particle velocities, accelerations, hop distances, and travel times, in a manner that formally appeals to inferential statistics while honoring mechanical and kinematic constraints imposed by equilibrium transport conditions. The analysis is based on E. Jaynes's elaboration of the implications of the similarity between the Gibbs entropy in statistical mechanics and the Shannon entropy in information theory. By maximizing the information entropy of a distribution subject to known constraints on its moments, our choice of the form of the distribution is unbiased. The analysis suggests that particle velocities and travel times are exponentially distributed and that particle accelerations follow a Laplace distribution with zero mean. Particle hop distances, viewed alone, ought to be distributed exponentially. However, the covariance between hop distances and travel times precludes this result. Instead, the covariance structure suggests that hop distances follow a Weibull distribution. These distributions are consistent with high-resolution measurements obtained from high-speed imaging of bed load particle motions. The analysis brings us closer to choosing distributions based on our mechanical insight.

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.

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.

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.

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.

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.

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…

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.

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.

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.

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

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

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.

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.

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.

[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.

Evaluation of the quality of the teaching-learning process in undergraduate courses in Nursing.

PubMed

González-Chordá, Víctor Manuel; Maciá-Soler, María Loreto

2015-01-01

to identify aspects of improvement of the quality of the teaching-learning process through the analysis of tools that evaluated the acquisition of skills by undergraduate students of Nursing. prospective longitudinal study conducted in a population of 60 secondyear Nursing students based on registration data, from which quality indicators that evaluate the acquisition of skills were obtained, with descriptive and inferential analysis. nine items were identified and nine learning activities included in the assessment tools that did not reach the established quality indicators (p<0.05). There are statistically significant differences depending on the hospital and clinical practices unit (p<0.05). the analysis of the evaluation tools used in the article "Nursing Care in Welfare Processes" of the analyzed university undergraduate course enabled the detection of the areas for improvement in the teachinglearning process. The challenge of education in nursing is to reach the best clinical research and educational results, in order to provide improvements to the quality of education and health care.

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.

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.

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…

Sizing for the apparel industry using statistical analysis - a Brazilian case study

NASA Astrophysics Data System (ADS)

Capelassi, C. H.; Carvalho, M. A.; El Kattel, C.; Xu, B.

2017-10-01

The study of the body measurements of Brazilian women used the Kinect Body Imaging system for 3D body scanning. The result of the study aims to meet the needs of the apparel industry for accurate measurements. Data was statistically treated using the IBM SPSS 23 system, with 95% confidence (P<0,05) for the inferential analysis, with the purpose of grouping the measurements in sizes, so that a smaller number of sizes can cover a greater number of people. The sample consisted of 101 volunteers aged between 19 and 62 years. A cluster analysis was performed to identify the main body shapes of the sample. The results were divided between the top and bottom body portions; For the top portion, were used the measurements of the abdomen, waist and bust circumferences, as well as the height; For the bottom portion, were used the measurements of the hip circumference and the height. Three sizing systems were developed for the researched sample from the Abdomen-to-Height Ratio - AHR (top portion): Small (AHR < 0,52), Medium (AHR: 0,52-0,58), Large (AHR > 0,58) and from the Hip-to-Height Ratio - HHR (bottom portion): Small (HHR < 0,62), Medium (HHR: 0,62-0,68), Large (HHR > 0,68).

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.

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.

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.

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.

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,…

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…

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

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

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 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.

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.

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.

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.

[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.

Considering Horn's Parallel Analysis from a Random Matrix Theory Point of View.

PubMed

Saccenti, Edoardo; Timmerman, Marieke E

2017-03-01

Horn's parallel analysis is a widely used method for assessing the number of principal components and common factors. We discuss the theoretical foundations of parallel analysis for principal components based on a covariance matrix by making use of arguments from random matrix theory. In particular, we show that (i) for the first component, parallel analysis is an inferential method equivalent to the Tracy-Widom test, (ii) its use to test high-order eigenvalues is equivalent to the use of the joint distribution of the eigenvalues, and thus should be discouraged, and (iii) a formal test for higher-order components can be obtained based on a Tracy-Widom approximation. We illustrate the performance of the two testing procedures using simulated data generated under both a principal component model and a common factors model. For the principal component model, the Tracy-Widom test performs consistently in all conditions, while parallel analysis shows unpredictable behavior for higher-order components. For the common factor model, including major and minor factors, both procedures are heuristic approaches, with variable performance. We conclude that the Tracy-Widom procedure is preferred over parallel analysis for statistically testing the number of principal components based on a covariance matrix.

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.

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.

A Tutorial on Multiblock Discriminant Correspondence Analysis (MUDICA): A New Method for Analyzing Discourse Data from Clinical Populations

ERIC Educational Resources Information Center

Williams, Lynne J.; Abdi, Herve; French, Rebecca; Orange, Joseph B.

2010-01-01

Purpose: In communication disorders research, clinical groups are frequently described based on patterns of performance, but researchers often study only a few participants described by many quantitative and qualitative variables. These data are difficult to handle with standard inferential tools (e.g., analysis of variance or factor analysis)…

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.

Educational intervention in Primary Care for the prevention of congenital syphilis 1

PubMed Central

Lazarini, Flaviane Mello; Barbosa, Dulce Aparecida

2017-01-01

ABSTRACT Objectives: to evaluate the efficiency of educational interventions related to the knowledge of health care professionals of Primary Care and to verify the impact on the vertical transmission rates of congenital syphilis. Method: a quasi-experimental study conducted in the city of Londrina, Paraná, between 2013 and 2015. An educational intervention on diagnosis, treatment and notification was carried out with 102 professionals with knowledge measurement before and after the intervention. Incidence and mortality data from congenital syphilis were taken from the system for notifiable diseases (SINAN) and the Mortality Information System (SIM). Excel tabulation and statistical analysis was done in the Statistical Package for Social Sciences, version 2.1. A descriptive and inferential analysis was performed. Results: the mean number of correct responses increased from 53% to 74.3% after the intervention (p < 0.01). The adherence to professional training was 92.6%. There was a significant reduction in the vertical transmission rate of syphilis from 75% in 2013 to 40.2% in 2015. In 2014 and 2015 there were no records of infant mortality from this condition. Conclusion: the educational intervention significantly increased the knowledge of health professionals about syphilis and collaborated to reduce the rate of vertical transmission of the disease. PMID:28146181

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

Evaluation of the quality of the teaching-learning process in undergraduate courses in Nursing 1

PubMed Central

González-Chordá, Víctor Manuel; Maciá-Soler, María Loreto

2015-01-01

Abstract Objective: to identify aspects of improvement of the quality of the teaching-learning process through the analysis of tools that evaluated the acquisition of skills by undergraduate students of Nursing. Method: prospective longitudinal study conducted in a population of 60 secondyear Nursing students based on registration data, from which quality indicators that evaluate the acquisition of skills were obtained, with descriptive and inferential analysis. Results: nine items were identified and nine learning activities included in the assessment tools that did not reach the established quality indicators (p<0.05). There are statistically significant differences depending on the hospital and clinical practices unit (p<0.05). Conclusion: the analysis of the evaluation tools used in the article "Nursing Care in Welfare Processes" of the analyzed university undergraduate course enabled the detection of the areas for improvement in the teachinglearning process. The challenge of education in nursing is to reach the best clinical research and educational results, in order to provide improvements to the quality of education and health care. PMID:26444173

Bayesian change-point analysis reveals developmental change in a classic theory of mind task.

PubMed

Baker, Sara T; Leslie, Alan M; Gallistel, C R; Hood, Bruce M

2016-12-01

Although learning and development reflect changes situated in an individual brain, most discussions of behavioral change are based on the evidence of group averages. Our reliance on group-averaged data creates a dilemma. On the one hand, we need to use traditional inferential statistics. On the other hand, group averages are highly ambiguous when we need to understand change in the individual; the average pattern of change may characterize all, some, or none of the individuals in the group. Here we present a new method for statistically characterizing developmental change in each individual child we study. Using false-belief tasks, fifty-two children in two cohorts were repeatedly tested for varying lengths of time between 3 and 5 years of age. Using a novel Bayesian change point analysis, we determined both the presence and-just as importantly-the absence of change in individual longitudinal cumulative records. Whenever the analysis supports a change conclusion, it identifies in that child's record the most likely point at which change occurred. Results show striking variability in patterns of change and stability across individual children. We then group the individuals by their various patterns of change or no change. The resulting patterns provide scarce support for sudden changes in competence and shed new light on the concepts of "passing" and "failing" in developmental studies. Copyright © 2016 The Authors. Published by Elsevier Inc. All rights reserved.

Regional Exploratory Analysis Between Atomospheric Aerosols and Precipitable Water in the Lower Troposhere via Inferential Statistics

NASA Astrophysics Data System (ADS)

Martinez, B. S.; Ye, H.; Levy, R. C.; Fetzer, E. J.; Remer, L.

2017-12-01

Atmospheric aerosols expose high levels of uncertainty in regard to Earth's changing atmospheric energy budget. Continued exploration and analysis is necessary to obtain more complete understanding in which, and to what degree, aerosols contribute within climate feedbacks and global climate change. With the advent of global satellite retrievals, along with specific aerosol optical depth (AOD) Dark Target and Deep Blue algorithms, aerosols can now be better measured and analyzed. Aerosol effect on climate depends primarily on altitude, the reflectance albedo of the underlying surface, along with the presence of clouds and the dynamics thereof. As currently known, the majority of aerosol distribution and mixing occur in the lower troposphere from the surface upwards to around 2km. Additionally, being a primary greenhouse gas contributor, water vapor is significant to climate feedbacks and Earth's radiation budget. Feedbacks are generally reported from the top of atmosphere (TOA). Therefore, little is known of the relationship between water vapor and aerosols; specifically, in regional areas of the globe known for aerosol loading such as anthropogenic biomass burning in South America and naturally occurring dust blowing off the deserts in the African and Arabian peninsulas. Statistical regression and timeseries analysis are used in determining significant probabilities suggesting trends of both regional precipitable water (PW) and AOD increase and decrease over a 13-year time period from 2003-2015. Regions with statistically significant positive or negative trends of AOD and PW are analyzed in determining correlations, or lack thereof. This initial examination helps to deduce and better understand how aerosols contribute to the radiation budget and assessing climate change.

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.

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.

Antenatal drug consumption: the burden of self-medication in a developing world setting.

PubMed

Adanikin, Abiodun Idowu; Awoleke, Jacob Olumuyiwa

2017-07-01

This institutional-based cross-sectional study examines the burden of self-medication during pregnancy in a middle-income country setting and the impact on fetal wellbeing. Using a blend of open-ended and indication-oriented questionnaires, 346 pregnant women at term were interviewed about their pregnancy complaints and drug intake. Inferential statistical data analysis was employed with level of significance (α) set at 0.05. Excluding routine supplements and vaccinations, 251 (72.5%) women used medicines, of whom 79 (31.5%) had self-medicated. Consuming drugs without prescription was associated with increased US Food & Drug Administration (FDA) risk category (χ 2  = 8.375; P = 0.015). There is therefore a need to scale up efforts towards educating women about the dangers of self-medication, while also introducing effective restrictive policies on over-the-counter drug sales.

Exploring students’ adaptive reasoning skills and van Hiele levels of geometric thinking: a case study in geometry

NASA Astrophysics Data System (ADS)

Rizki, H. T. N.; Frentika, D.; Wijaya, A.

2018-03-01

This study aims to explore junior high school students’ adaptive reasoning and the Van Hiele level of geometric thinking. The present study was a quasi-experiment with the non-equivalent control group design. The participants of the study were 34 seventh graders and 35 eighth graders in the experiment classes and 34 seventh graders and 34 eighth graders in the control classes. The students in the experiment classes learned geometry under the circumstances of a Knisley mathematical learning. The data were analyzed quantitatively by using inferential statistics. The results of data analysis show an improvement of adaptive reasoning skills both in the grade seven and grade eight. An improvement was also found for the Van Hiele level of geometric thinking. These results indicate the positive impact of Knisley learning model on students’ adaptive reasoning skills and Van Hiele level of geometric thinking.

Food waste prevention in Athens, Greece: The effect of family characteristics.

PubMed

Abeliotis, Konstadinos; Lasaridi, Katia; Chroni, Christina

2016-12-01

Food waste is a stream that becomes increasingly important in terms of its prevention potential. There is a large number of behaviours that can be associated with food waste generation and the efforts towards food waste prevention. A questionnaire study was carried in order to study consumer behaviour related to food provision and wastage in Greece. Proper practices of the respondents that can prevent the generation of food waste were investigated using nine behavioural scales, which were defined on the basis of similar studies in other countries. A structured questionnaire was utilised in order to test those behaviours against the socio-demographic characteristics of respondents. The results of the study indicate that in terms of inferential statistical analysis, among the numerous variables examined, those that enhance food waste prevention are the involvement of the respondent in cooking, the annoyance towards food waste generation and the education level. © The Author(s) 2016.

Communicating Scientific Findings to Lawyers, Policy-Makers, and the Public (Invited)

NASA Astrophysics Data System (ADS)

Thompson, W.; Velsko, S. P.

2013-12-01

This presentation will summarize the authors' collaborative research on inferential errors, bias and communication difficulties that have arisen in the area of WMD forensics. This research involves analysis of problems that have arisen in past national security investigations, interviews with scientists from various disciplines whose work has been used in WMD investigations, interviews with policy-makers, and psychological studies of lay understanding of forensic evidence. Implications of this research for scientists involved in nuclear explosion monitoring will be discussed. Among the issues covered will be: - Potential incompatibilities between the questions policy makers pose and the answers that experts can provide. - Common misunderstandings of scientific and statistical data. - Advantages and disadvantages of various methods for describing and characterizing the strength of scientific findings. - Problems that can arise from excessive hedging or, alternatively, insufficient qualification of scientific conclusions. - Problems that can arise from melding scientific and non-scientific evidence in forensic assessments.

[Work context, job satisfaction and suffering in primary health care].

PubMed

Maissiat, Greisse da Silveira; Lautert, Liana; Pai, Daiane Dal; Tavares, Juliana Petri

2015-06-01

To evaluate the work context, job satisfaction and suffering from the perspective of workers in primary health care. This cross-sectional study was conducted with 242 employees of a municipality of Rio Grande do Sul, Brazil, from May to July 2012. The adopted instruments were the Work Context Assessment Scale (EACT) and the Job Satisfaction and Suffering Indicators Scale (EIPST). Research also included descriptive and inferential statistical analysis. Organization (91.3%) and work conditions (64%) received the worst scores in terms of context. The indicators of job satisfaction were related to professional achievement (55.8%), freedom of expression (62.4%) and recognition (59.9%). However, 64.5% presented professional exhaustion, which had an inverse association with age and years in the institution (p<0.05). The workers evaluated their work context as inappropriate and complained of exhaustion, although they claimed their work affords some satisfaction.

Rate, causes and reporting of medication errors in Jordan: nurses' perspectives.

PubMed

Mrayyan, Majd T; Shishani, Kawkab; Al-Faouri, Ibrahim

2007-09-01

The aim of the study was to describe Jordanian nurses' perceptions about various issues related to medication errors. This is the first nursing study about medication errors in Jordan. This was a descriptive study. A convenient sample of 799 nurses from 24 hospitals was obtained. Descriptive and inferential statistics were used for data analysis. Over the course of their nursing career, the average number of recalled committed medication errors per nurse was 2.2. Using incident reports, the rate of medication errors reported to nurse managers was 42.1%. Medication errors occurred mainly when medication labels/packaging were of poor quality or damaged. Nurses failed to report medication errors because they were afraid that they might be subjected to disciplinary actions or even lose their jobs. In the stepwise regression model, gender was the only predictor of medication errors in Jordan. Strategies to reduce or eliminate medication errors are required.

Median mandibular flexure at different mouth opening and its relation to different facial types: A prospective clinical study

PubMed Central

Prasad, Mandava; Hussain, Mohammed Z.; Shetty, Sharath K.; Kumar, T. Ashok; Khaur, Mohit; George, Suja A.; Dalwai, Sameen

2013-01-01

Objective: To measure the arch width and Median mandibular flexure (MMF) values at relative rest and maximum jaw opening in young adults with Dolichofacial, Mesofacial, and Brachyfacial types and tested whether the variation in the facial pattern is related to the MMF values in South Indian population. Materials and Methods: This Prospective clinical study consisted of sample of 60 young adults. The subjects were grouped into 3 groups: Group 1: Brachyfacial, Group 2: Mesofacial and types, Group 3: Dolichofacial. Impressions were taken for all the 60 subjects and the casts were scanned and digitized. The intermolar width was measured for Dolichofacial, Mesofacial, and Brachyfacial subjects at relative rest (R) and maximum opening (O). Results: The statistical analysis of the observations included Descriptive and Inferential statistics. The statistical analysis was executed by means of Sigma graph pad prism software, USA Version-4. Kruskal wallis (ANOVA) followed by Dunns post hoc test was performed. Mann Whitney U-test was performed to assess the difference in MMF values between Males and Females of the three groups. The Mean (SD) Mandibular flexure in individuals with Brachyfacial type was 1.12 (0.09), Mesofacial type was 0.69 (0.21), and Dolichofacial type was 0.39 (0.08). Conclusions: The Mean intermolar width was maximum in Brachyfacial type and minimum in Dolichofacial type. MMF was maximum at the maximum mouth opening position and was maximum in individuals with Brachyfacial type. PMID:24082745

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).

Quantification and Correlation of Angiogenesis with Macrophages by Histomorphometric Method in Central and Peripheral Giant Cell Granuloma: An Immunohistochemical Analysis.

PubMed

Kumar, Varsha Vimal; Krishanappa, Savita Jangal; Prakash, Smitha Gowdra; Channabasaviah, Girish Hemdal; Murgod, Sanjay; Pujari, Ravikumar; Kamat, Mamata Sharad

2016-03-01

Angiogenesis is a fundamental process that affects physiologic reactions and pathological processes such as tumour development and metastasis. It is the process of formation of new microvessel from the preexisting vessels. The purpose of this study was to evaluate angiogenesis, macrophage index and correlate the impact of macrophages on angiogenesis in the central and peripheral giant cell granulomas by evaluating immunohistochemically microvessel density, microvessel perimeter and macrophage index. Immunohistochemical analysis was carried on 20 cases of central and peripheral giant cell granulomas each for CD34 and CD68 proteins expression. Inferential statistical analysis was performed using Independent student t-test to assess the microvessel density, microvessel perimeter and macrophage index on continuous scale between Group I and Group II. Level of significance was determined at 5%. Further bivariate analysis using Pearson correlation test was carried out to see the relationship between microvessel density and macrophage index in each group. Microvessel density, micro vessel perimeter and macrophage index was higher in central giant cell granuloma compared to that of peripheral giant cell granuloma. Correlation between microvessel density and macrophage index among these two lesions was statistically insignificant. Angiogenesis as well as the number of macrophages appeared to increase in Central Giant Cell Granuloma in present study. These findings suggest that macrophages may up regulate the angiogenesis in these giant cell granulomas and angiogenesis do have a role in clinical behaviour. However, we could not establish a positive correlation between microvessel density and macrophage index as the values were statistically insignificant. This insignificance may be presumed due to fewer samples taken for study.

Comparison of student's learning achievement through realistic mathematics education (RME) approach and problem solving approach on grade VII

NASA Astrophysics Data System (ADS)

Ilyas, Muhammad; Salwah

2017-02-01

The type of this research was experiment. The purpose of this study was to determine the difference and the quality of student's learning achievement between students who obtained learning through Realistic Mathematics Education (RME) approach and students who obtained learning through problem solving approach. This study was a quasi-experimental research with non-equivalent experiment group design. The population of this study was all students of grade VII in one of junior high school in Palopo, in the second semester of academic year 2015/2016. Two classes were selected purposively as sample of research that was: year VII-5 as many as 28 students were selected as experiment group I and VII-6 as many as 23 students were selected as experiment group II. Treatment that used in the experiment group I was learning by RME Approach, whereas in the experiment group II by problem solving approach. Technique of data collection in this study gave pretest and posttest to students. The analysis used in this research was an analysis of descriptive statistics and analysis of inferential statistics using t-test. Based on the analysis of descriptive statistics, it can be concluded that the average score of students' mathematics learning after taught using problem solving approach was similar to the average results of students' mathematics learning after taught using realistic mathematics education (RME) approach, which are both at the high category. In addition, It can also be concluded that; (1) there was no difference in the results of students' mathematics learning taught using realistic mathematics education (RME) approach and students who taught using problem solving approach, (2) quality of learning achievement of students who received RME approach and problem solving approach learning was same, which was at the high category.

Teaching Principles of Inference with ANOVA

ERIC Educational Resources Information Center

Tarlow, Kevin R.

2016-01-01

Analysis of variance (ANOVA) is a test of "mean" differences, but the reference to "variances" in the name is often overlooked. Classroom activities are presented to illustrate how ANOVA works with emphasis on how to think critically about inferential reasoning.

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

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].

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.

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.

CAPACITY BUILDING PROCESS IN ENVIRONMENTAL AND HEALTH IMPACT ASSESSMENT FOR A THAI COMMUNITY.

PubMed

Chaithui, Suthat; Sithisarankul, Pornchai; Hengpraprom, Sarunya

2017-03-01

This research aimed at exploring the development of the capacitybuilding process in environmental and health impact assessment, including the consideration of subsequent, capacity-building achievements. Data were gathered through questionnaires, participatory observations, in-depth interviews, focus group discussions, and capacity building checklist forms. These data were analyzed using content analysis, descriptive statistics, and inferential statistics. Our study used the components of the final draft for capacity-building processes consisting of ten steps that were formulated by synthesis from each respective process. Additionally, the evaluation of capacity building levels was performed using 10-item evaluation criteria for nine communities. The results indicated that the communities performed well under these criteria. Finally, exploration of the factors influencing capacity building in environmental and health impact assessment indicated that the learning of community members by knowledge exchange via activities and study visits were the most influential factors of the capacity building processes in environmental and health impact assessment. The final revised version of capacitybuilding process in environmental and health impact assessment could serve as a basis for the consideration of interventions in similar areas, so that they increased capacity in environmental and health impact assessments.

Clinical information systems for the management of tuberculosis in primary health care.

PubMed

Medeiros, Eliabe Rodrigues de; Silva, Sandy Yasmine Bezerra E; Ataide, Cáthia Alessandra Varela; Pinto, Erika Simone Galvão; Silva, Maria de Lourdes Costa da; Villa, Tereza Cristina Scatena

2017-12-11

to analyze the clinical information systems used in the management of tuberculosis in Primary Health Care. descriptive, quantitative cross-sectional study with 100 health professionals with data collected through a questionnaire to assess local institutional capacity for the model of attention to chronic conditions, as adapted for tuberculosis care. The analysis was performed through descriptive and inferential statistics. Nurses and the Community Health Agents were classified as having fair capacity with a mean of 6.4 and 6.3, respectively. The city was classified as having fair capacity, with a mean of 6.0 and standard deviation of 1.5. Family Health Units had higher capacity than Basic Health Units and Mixed Units, although not statistically relevant. Clinical records and data on tuberculosis patients, items of the clinical information systems, had a higher classification than the other items, classified as having fair capacity, with a mean of 7.3 and standard deviation of 1.6, and the registry of TB patients had a mean of 6.6 and standard deviation of 2.0. clinical information systems are present in the city, mainly in clinical records and patient data, and they have the contribution of professionals linked with tuberculosis patients.

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.

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

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.

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.

Measuring trust in nurses - Psychometric properties of the Trust in Nurses Scale in four countries.

PubMed

Stolt, Minna; Charalambous, Andreas; Radwin, Laurel; Adam, Christina; Katajisto, Jouko; Lemonidou, Chryssoula; Patiraki, Elisabeth; Sjövall, Katarina; Suhonen, Riitta

2016-12-01

The purpose of this study was to examine psychometric properties of three translated versions of the Trust in Nurses Scale (TNS) and cancer patients' perceptions of trust in nurses in a sample of cancer patients from four European countries. A cross-sectional, cross-cultural, multi-site survey design was used. The data were collected with the Trust in Nurses Scale from patients with different types of malignancies in 17 units within five clinical sites (n = 599) between 09/2012 and 06/2014. Data were analyzed using descriptive and inferential statistics, multivariate methods and psychometrics using exploratory factor analysis, Cronbach's alpha coefficients, item analysis and Rasch analysis. The psychometric properties of the data were consistent in all countries. Within the exploratory factor analysis the principal component analysis supported the one component structure (unidimensionality) of the TNS. The internal consistency reliability was acceptable. The Rasch analysis supported the unidimensionality of the TNS cross-culturally. All items of the TNS demonstrated acceptable goodness-of-fit to the Rasch model. Cancer patients trusted nurses to a great extent although between-country differences were found. The Trust in Nurses Scale proved to be a valid and reliable tool for measuring patients' trust in nurses in oncological settings in international contexts. Copyright © 2016 Elsevier Ltd. All rights reserved.

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.

Do Narcissism and Emotional Intelligence Win Us Friends? Modeling Dynamics of Peer Popularity Using Inferential Network Analysis.

PubMed

Czarna, Anna Z; Leifeld, Philip; Śmieja, Magdalena; Dufner, Michael; Salovey, Peter

2016-09-27

This research investigated effects of narcissism and emotional intelligence (EI) on popularity in social networks. In a longitudinal field study, we examined the dynamics of popularity in 15 peer groups in two waves (N = 273). We measured narcissism, ability EI, and explicit and implicit self-esteem. In addition, we measured popularity at zero acquaintance and 3 months later. We analyzed the data using inferential network analysis (temporal exponential random graph modeling, TERGM) accounting for self-organizing network forces. People high in narcissism were popular, but increased less in popularity over time than people lower in narcissism. In contrast, emotionally intelligent people increased more in popularity over time than less emotionally intelligent people. The effects held when we controlled for explicit and implicit self-esteem. These results suggest that narcissism is rather disadvantageous and that EI is rather advantageous for long-term popularity. © 2016 by the Society for Personality and Social Psychology, Inc.

Academic reading format preferences and behaviors among university students worldwide: A comparative survey analysis

PubMed Central

Kurbanoglu, Serap; Boustany, Joumana

2018-01-01

This study reports the descriptive and inferential statistical findings of a survey of academic reading format preferences and behaviors of 10,293 tertiary students worldwide. The study hypothesized that country-based differences in schooling systems, socioeconomic development, culture or other factors might have an influence on preferred formats, print or electronic, for academic reading, as well as the learning engagement behaviors of students. The main findings are that country of origin has little to no relationship with or effect on reading format preferences of university students, and that the broad majority of students worldwide prefer to read academic course materials in print. The majority of participants report better focus and retention of information presented in print formats, and more frequently prefer print for longer texts. Additional demographic and post-hoc analysis suggests that format preference has a small relationship with academic rank. The relationship between task demands, format preferences and reading comprehension are discussed. Additional outcomes and implications for the fields of education, psychology, computer science, information science and human-computer interaction are considered. PMID:29847560

Risk factors for repetitive strain injuries among school teachers in Thailand.

PubMed

Chaiklieng, Sunisa; Suggaravetsiri, Pornnapa

2012-01-01

Prolonged posture, static works and repetition are previously reported as the cause of repetitive strain injuries (RSIs) among workers including teachers. This cross-sectional analytic study aimed to investigate the prevalence and risk factors of RSIs among school teachers. Participants were 452 full-time school teachers in Thailand. Data were collected by the structural questionnaires, illuminance measurements and the physical fitness tests. Descriptive statistics and inferential statistics which were Chi-square test and multiple logistic regression analysis were used. Most teachers in this study were females (57.3%), the mean years of work experience was 22.6 ± 10.4 years. The six-month prevalence of RSIs was 73.7%. The univariate analysis identified the related risk factors to RSIs which were chronic disease (OR=1.8; 95% CI = 1.16-2.73), history of trauma (OR=2.0; 95% CI = 1.02-4.01), member of family had RSIs (OR=2.0; 95% CI = 1.02- 4.01), stretch to write on board (OR=1.7; 95% CI = 1.06-1.70) and high heel shoe >2 inch (OR=1.6; 95% CI = 1.03-2.51). Multiple logistic regression analysis showed that chronic diseases and high heel shoe >2 inch significantly related to developing of RSIs. The poor grip strength and back muscle flexibility significantly affected RSIs of teachers. In conclusions, RSIs were highly prevalent in school teachers that they should be aware of health promotion to prevent RSIs.

Further validation of the Health Promoting Activities Scale with mothers of typically developing children.

PubMed

Bourke-Taylor, Helen; Lalor, Aislinn; Farnworth, Louise; Pallant, Julie F

2014-10-01

The Health Promoting Activities Scale (HPAS) measures the frequency that mothers participate in self-selected leisure activities that promote health and wellbeing. The scale was originally validated on mothers of school-aged children with disabilities, and the current article extends this research using a comparative sample of mothers of typically developing school-aged children. Australian mothers (N = 263) completed a questionnaire containing the HPAS, a measure of depression, anxiety and stress (DASS-21) and questions concerning their weight, height, sleep quality and demographics. Statistical analysis assessed the underlying structure, internal consistency and construct validity of the HPAS. Inferential statistics were utilised to investigate the construct validity. Exploratory factor analysis supported the unidimensionality of the HPAS. It showed good internal consistency (Cronbach's alpha = 0.78). Significantly lower HPAS scores were recorded for women who were obese; had elevated levels of depression, anxiety and stress; had poor quality sleep or had heavy caring commitments. The mean HPAS score in this sample (M = 32.2) was significantly higher than was previously reported for women of children with a disability (M = 21.6: P < 0.001). Further psychometric evaluation of the HPAS continues to support the HPAS as a sound instrument that measures the frequency that women participate in meaningful occupation that is associated with differences in mental health and wellbeing and other health indicators. © 2014 Occupational Therapy Australia.

Structural parameters of young star clusters: fractal analysis

NASA Astrophysics Data System (ADS)

Hetem, A.

2017-07-01

A unified view of star formation in the Universe demand detailed and in-depth studies of young star clusters. This work is related to our previous study of fractal statistics estimated for a sample of young stellar clusters (Gregorio-Hetem et al. 2015, MNRAS 448, 2504). The structural properties can lead to significant conclusions about the early stages of cluster formation: 1) virial conditions can be used to distinguish warm collapsed; 2) bound or unbound behaviour can lead to conclusions about expansion; and 3) fractal statistics are correlated to the dynamical evolution and age. The technique of error bars estimation most used in the literature is to adopt inferential methods (like bootstrap) to estimate deviation and variance, which are valid only for an artificially generated cluster. In this paper, we expanded the number of studied clusters, in order to enhance the investigation of the cluster properties and dynamic evolution. The structural parameters were compared with fractal statistics and reveal that the clusters radial density profile show a tendency of the mean separation of the stars increase with the average surface density. The sample can be divided into two groups showing different dynamic behaviour, but they have the same dynamic evolution, since the entire sample was revealed as being expanding objects, for which the substructures do not seem to have been completely erased. These results are in agreement with the simulations adopting low surface densities and supervirial conditions.

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…

The effect of physics-based scientific learning on the improvement of the student’s critical thinking skills

NASA Astrophysics Data System (ADS)

Zaidah, A.; Sukarmin; Sunarno, W.

2018-04-01

This study aimed to determine the influence of a physics-based scientific learning to increase student’s critical thinking skill. This type of this research was quantitative research with taking the conclusion through statistical analysis. This research was carried out in MA (Senior High School) Mu'allimat NW Pancor in the second semester in the academic year of 2016/2017 with all students of XI class. The sampling is done by using technique purposive sampling where the class was taken from XI 6 class. Based on the result of descriptive analysis, it was obtained an average pre-test score of 49.17 and an average post-test score of 82.43. Also, the results showed that the average score was gained of 0.67 with a medium category. Based on the inferential analysis showed the value of t = 22.559 while the ttable in significance level of 5% was 2.04. Thus, t > the ttable from Ha is accepted. Therefore, the pre-test and posttest were different significantly when the students used scientific-based learning. The result showed that a physics-based scientific learning has influenced to increase the student’s critical thinking skill.

An analysis of disruptions in aerospace/defense organizations that affect the supply chain

NASA Astrophysics Data System (ADS)

Dickerson, Toscha L.

The purpose of this quantitative study was to determine whether or not functions of procurement organizations structures' and aerospace suppliers were perceived as disruptions and to identify their effects on lead time and costs within a supply chain. An analysis of employees' perception of centralized and decentralized procurement functions, aerospace and defense suppliers, lead times of goods and services, price increases, and schedule delays was conducted. Prior studies are limited in regards to understanding how specific procurement functions affects an organization procurement structure. This non-experimental quantitative study allowed for a survey to be administered to aerospace and defense companies throughout the United States to obtain information from sourcing and procurement professionals with 5 or more years of experience. The current study utilized a 10 question survey based on the 5- point Likert -type scale to determine the findings. Through descriptive and inferential statistics, using regression analysis, standard deviation, and P-value; findings indicated that the majority of the participants surveyed perceived both centralized and decentralized procurement functions affected lead time and cost of goods and services resulted in a positive effect and were considered as supply chain disruptions.

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 dance movement therapy on selected cardiovascular parameters and estimated maximum oxygen consumption in hypertensive patients.

PubMed

Aweto, H A; Owoeye, O B A; Akinbo, S R A; Onabajo, A A

2012-01-01

Objective:Arterial hypertension is a medical condition associated with increased risks of of death, cardiovascular mortality and cardiovascular morbidity including stroke, coronary heart disease, atrial fibrillation and renal insufficiency. Regular physical exercise is considered to be an important part of the non-pharmacologictreatment of hypertension. The purpose of this study was to investigate the effects of dance movement therapy (DMT) on selected cardiovascular parameters and estimated maximum oxygen consumption in hypertensive patients. Fifty (50) subjects with hypertension participated in the study. They were randomly assigned to 2 equal groups; A (DMT group) and B (Control group). Group A carried out dance movement therapy 2 times a week for 4 weeks while group B underwent some educational sessions 2 times a week for the same duration. All the subjects were on anti-hypertensive drugs. 38 subjects completed the study with the DMTgroup having a total of 23 subjects (10 males and 13 females) and the control group 15 subjects (6 males and 9 females). Descriptive statistics of mean, standard deviation and inferential statistics of paired and independentt-testwere used for data analysis. Following four weeks of dance movement therapy, paired t-test analysis showed that there was a statistically significant difference in the Resting systolic blood pressure (RSBP) (p < 0.001*), Resting diastolic blood pressure (RDBP) (p < 0.001*), Resting heart rate (RHR) (p = 0.024*), Maximum heart rate (MHR) (p=0.002*) and Estimated oxygen consumption (VO2max) (p = 0.023*) in subjects in group A (p < 0.05) while there was no significant difference observed in outcome variables of subjects in group B (p > 0.05). Independent t-test analysis between the differences in the pre and post intervention scores of groups A and B also showed statistically significant differences in all the outcome variables (p <0.05). DMT was effective in improving cardiovascular parameters and estimated maximum oxygen consumption in hypertensive patients.

Inferential Procedures for Correlation Coefficients Corrected for Attenuation.

ERIC Educational Resources Information Center

Hakstian, A. Ralph; And Others

1988-01-01

A model and computation procedure based on classical test score theory are presented for determination of a correlation coefficient corrected for attenuation due to unreliability. Delta and Monte Carlo method applications are discussed. A power analysis revealed no serious loss in efficiency resulting from correction for attentuation. (TJH)

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.

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.

Barriers to primary care hospital follow-up among older adults in rural or semi-rural communities.

PubMed

Hardman, Bobbi; Newcomb, Patricia

2016-02-01

Failure to follow-up with a primary care provider (PCP) following discharge from an acute care setting is strongly associated with readmission within 90 days among elderly patients. The purpose of this study was to identify barriers to primary care follow-up among older adults in rural communities. This was an explanatory mixed methods study which included scaled survey and interview techniques. Descriptive and inferential statistics were calculated for scaled concepts. Standard content analysis was performed on the qualitative items. Correlation between intention to follow-up with a PCP and actual follow-up was poor (r=0.20). Patients encountered substantial obstacles to the PCP follow-up visit. Obstacles clustered into two groups: 1) healthcare or social system barriers and 2) personal characteristics of patients. Individualized discharge planning that reflects the complexities of post-hospitalization adaptation for elders is most likely to be useful for ensuring PCP follow-up. Copyright © 2015 Elsevier Inc. All rights reserved.

Insufficient Knowledge of Breast Cancer Risk Factors Among Malaysian Female University Students

PubMed Central

Samah, Asnarulkhadi Abu; Ahmadian, Maryam; Latiff, Latiffah A.

2016-01-01

Background: Despite continuous argument about the efficacy of breast self-examination; it still could be a life-saving technique through inspiring and empowering women to take better control over their body/breast and health. This study investigated Malaysian female university students’ knowledge about breast cancer risk factors, signs, and symptoms and assessed breast self-examination frequency among students. Method: A cross-sectional survey was conducted in 2013 in nine public and private universities in the Klang Valley and Selangor. 842 female students were respondents for the self-administered survey technique. Simple descriptive and inferential statistics were employed for data analysis. Results: The uptake of breast self-examination (BSE) was less than 50% among the students. Most of students had insufficient knowledge on several breast cancer risk factors. Conclusion: Actions and efforts should be done to increase knowledge of breast cancer through the development of ethnically and traditionally sensitive educational training on BSE and breast cancer literacy. PMID:26234996

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.

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.

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

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.

Inferential Judgments Affecting the Decision-Making Process in the Attorney General's Commission on Pornography.

ERIC Educational Resources Information Center

Gouran, Dennis S.

Although the Attorney General's Commission on Pornography, also known as the Meese Commission, has been criticized excessively at times for threatening freedom of speech and press and individual rights to privacy, an analysis of its "Final Report" reveals numerous deficiencies in the Commission's decision-making process. These…

Associated factors with cervical pre-malignant lesions among the married fisher women community at Sadras, Tamil Nadu

PubMed Central

Ganesan, Sornam; Subbiah, Vasantha N.; Michael, Jothi Clara J.

2015-01-01

Objective: To identify the associated factors of cervical pre-malignant lesions among the married fisher women residing in the coastal areas of Sadras, Tamil Nadu. Methods: The study was conducted in five fishermen communities under Sadras, a coastal area in Tamil Nadu, India. Two hundred and fifty married fisher women residing in the area. Quantitative descriptive approach with a cross-sectional study design was used. Data were collected using a structured interview schedule for identifying the associated factors and Pap smear test was performed for identifying the pre-malignant cervical lesions among the married fisher women. Data were analyzed using descriptive and inferential statistics. Results: Among 250 women, about six (2.4%) of them presented with pre-cancerous lesions such as atypical squamous cell of undifferentiated significance (ASCUS) — five (2%) and mild dysplasia one (0.4%). Majority of the women, about 178 (71.2%) women, had abnormal cervical findings. Statistical analysis showed a significant association of risk factors such as advanced age, lack of education, low socioeconomic status, using tobacco, multiparity, premarital sex, extramarital relationship, using cloth as sanitary napkin, etc. Conclusion: The study findings clearly show the increased vulnerable state of the fisher women for acquiring cervical cancer as they had many risk factors contributing to the same. PMID:27981091

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.

Associated factors with cervical pre-malignant lesions among the married fisher women community at Sadras, Tamil Nadu.

PubMed

Ganesan, Sornam; Subbiah, Vasantha N; Michael, Jothi Clara J

2015-01-01

To identify the associated factors of cervical pre-malignant lesions among the married fisher women residing in the coastal areas of Sadras, Tamil Nadu. The study was conducted in five fishermen communities under Sadras, a coastal area in Tamil Nadu, India. Two hundred and fifty married fisher women residing in the area. Quantitative descriptive approach with a cross-sectional study design was used. Data were collected using a structured interview schedule for identifying the associated factors and Pap smear test was performed for identifying the pre-malignant cervical lesions among the married fisher women. Data were analyzed using descriptive and inferential statistics. Among 250 women, about six (2.4%) of them presented with pre-cancerous lesions such as atypical squamous cell of undifferentiated significance (ASCUS) - five (2%) and mild dysplasia one (0.4%). Majority of the women, about 178 (71.2%) women, had abnormal cervical findings. Statistical analysis showed a significant association of risk factors such as advanced age, lack of education, low socioeconomic status, using tobacco, multiparity, premarital sex, extramarital relationship, using cloth as sanitary napkin, etc. The study findings clearly show the increased vulnerable state of the fisher women for acquiring cervical cancer as they had many risk factors contributing to the same.

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.

Unplanned readmission after hospital discharge in burn patients in Iran.

PubMed

Jafaryparvar, Zakiyeh; Adib, Masoomeh; Ghanbari, Atefeh; Leyli, Ehsan Kazemnezhad

2018-02-21

Burns are considered as one of the most serious health problems throughout the world. They may lead to adverse consequences and outcomes. One of these outcomes is unplanned readmission. Unplanned readmission has been commonly used as a quality indicator by hospitals and governments. This study aimed to determine the predictors of unplanned readmission in patients with burns hospitalized in a burn center in the North of Iran (Guilan province, Rasht). This retrospective analytic study has been done on the medical records of hospitalized patients with burns in Velayat Sub-Specialty Burn and Plastic Surgery Center, Rasht, Iran during 2008-2013. In general, 703 medical records have been reviewed but statistical analysis was performed on 626 medical records. All data were entered in SPSS (version 16) and analyzed by descriptive and inferential statistics. Among 626 patients with burns, the overall readmission rate was 5.1%. Predictors of readmission included total body surface area (OR 1.030, CI 1.011-1.049), hypertension (OR 2.923, CI 1.089-7.845) and skin graft (OR 7.045, CI 2.718-18.258). Considering the outcome, predictors following burn have a crucial role in the allocation of treatment cost for patients with burns and they can be used as one of the quality indicators for health care providers and governments.

Inference comprehension in text reading: Performance of individuals with right- versus left-hemisphere lesions and the influence of cognitive functions.

PubMed

Silagi, Marcela Lima; Radanovic, Marcia; Conforto, Adriana Bastos; Mendonça, Lucia Iracema Zanotto; Mansur, Leticia Lessa

2018-01-01

Right-hemisphere lesions (RHL) may impair inference comprehension. However, comparative studies between left-hemisphere lesions (LHL) and RHL are rare, especially regarding reading comprehension. Moreover, further knowledge of the influence of cognition on inferential processing in this task is needed. To compare the performance of patients with RHL and LHL on an inference reading comprehension task. We also aimed to analyze the effects of lesion site and to verify correlations between cognitive functions and performance on the task. Seventy-five subjects were equally divided into the groups RHL, LHL, and control group (CG). The Implicit Management Test was used to evaluate inference comprehension. In this test, subjects read short written passages and subsequently answer five types of questions (explicit, logical, distractor, pragmatic, and other), which require different types of inferential reasoning. The cognitive functional domains of attention, memory, executive functions, language, and visuospatial abilities were assessed using the Cognitive Linguistic Quick Test (CLQT). The LHL and RHL groups presented difficulties in inferential comprehension in comparison with the CG. However, the RHL group presented lower scores than the LHL group on logical, pragmatic and other questions. A covariance analysis did not show any effect of lesion site within the hemispheres. Overall, all cognitive domains were correlated with all the types of questions from the inference test (especially logical, pragmatic, and other). Attention and visuospatial abilities affected the scores of both the RHL and LHL groups, and only memory influenced the performance of the RHL group. Lesions in either hemisphere may cause difficulties in making inferences during reading. However, processing more complex inferences was more difficult for patients with RHL than for those with LHL, which suggests that the right hemisphere plays an important role in tasks with higher comprehension demands. Cognition influences inferential processing during reading in brain-injured subjects.

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.

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.

[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.

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.

Medical ethical standards in dermatology: an analytical study of knowledge, attitudes and practices.

PubMed

Mostafa, W Z; Abdel Hay, R M; El Lawindi, M I

2015-01-01

Dermatology practice has not been ethically justified at all times. The objective of the study was to find out dermatologists' knowledge about medical ethics, their attitudes towards regulatory measures and their practices, and to study the different factors influencing the knowledge, the attitude and the practices of dermatologists. This is a cross-sectional comparative study conducted among 214 dermatologists, from five Academic Universities and from participants in two conferences. A 54 items structured anonymous questionnaire was designed to describe the demographical characteristics of the study group as well as their knowledge, attitude and practices regarding the medical ethics standards in clinical and research settings. Five scoring indices were estimated regarding knowledge, attitude and practice. Inferential statistics were used to test differences between groups as indicated. The Student's t-test and analysis of variance were carried out for quantitative variables. The chi-squared test was conducted for qualitative variables. The results were considered statistically significant at a P > 0.05. Analysis of the possible factors having impact on the overall scores revealed that the highest knowledge scores were among dermatologists who practice in an academic setting plus an additional place; however, this difference was statistically non-significant (P = 0.060). Female dermatologists showed a higher attitude score compared to males (P = 0.028). The highest significant attitude score (P = 0.019) regarding clinical practice was recorded among those practicing cosmetic dermatology. The different studied groups of dermatologists revealed a significant impact on the attitude score (P = 0.049), and the evidence-practice score (P < 0.001). Ethical practices will improve the quality and integrity of dermatology research. © 2014 European Academy of Dermatology and Venereology.

Newly Graduated Nurses' Competence and Individual and Organizational Factors: A Multivariate Analysis.

PubMed

Numminen, Olivia; Leino-Kilpi, Helena; Isoaho, Hannu; Meretoja, Riitta

2015-09-01

To study the relationships between newly graduated nurses' (NGNs') perceptions of their professional competence, and individual and organizational work-related factors. A multivariate, quantitative, descriptive, correlation design was applied. Data collection took place in November 2012 with a national convenience sample of 318 NGNs representing all main healthcare settings in Finland. Five instruments measured NGNs' perceptions of their professional competence, occupational commitment, empowerment, practice environment, and its ethical climate, with additional questions on turnover intentions, job satisfaction, and demographics. Descriptive statistics summarized the demographic data, and inferential statistics multivariate path analysis modeling estimated the relationships between the variables. The strongest relationship was found between professional competence and empowerment, competence explaining 20% of the variance of empowerment. The explanatory power of competence regarding practice environment, ethical climate of the work unit, and occupational commitment, and competence's associations with turnover intentions, job satisfaction, and age, were statistically significant but considerably weaker. Higher competence and satisfaction with quality of care were associated with more positive perceptions of practice environment and its ethical climate as well as higher empowerment and occupational commitment. Apart from its association with empowerment, competence seems to be a rather independent factor in relation to the measured work-related factors. Further exploration would deepen the knowledge of this relationship, providing support for planning educational and developmental programs. Research on other individual and organizational factors is warranted to shed light on factors associated with professional competence in providing high-quality and safe care as well as retaining new nurses in the workforce. The study sheds light on the strength and direction of the significantly associated work-related factors. Nursing professional bodies, managers, and supervisors can use the findings in planning orientation programs and other occupational interventions for NGNs. © 2015 Sigma Theta Tau International.

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.

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,…

Neuroanatomical morphometric characterization of sex differences in youth using statistical learning.

PubMed

Sepehrband, Farshid; Lynch, Kirsten M; Cabeen, Ryan P; Gonzalez-Zacarias, Clio; Zhao, Lu; D'Arcy, Mike; Kesselman, Carl; Herting, Megan M; Dinov, Ivo D; Toga, Arthur W; Clark, Kristi A

2018-05-15

Exploring neuroanatomical sex differences using a multivariate statistical learning approach can yield insights that cannot be derived with univariate analysis. While gross differences in total brain volume are well-established, uncovering the more subtle, regional sex-related differences in neuroanatomy requires a multivariate approach that can accurately model spatial complexity as well as the interactions between neuroanatomical features. Here, we developed a multivariate statistical learning model using a support vector machine (SVM) classifier to predict sex from MRI-derived regional neuroanatomical features from a single-site study of 967 healthy youth from the Philadelphia Neurodevelopmental Cohort (PNC). Then, we validated the multivariate model on an independent dataset of 682 healthy youth from the multi-site Pediatric Imaging, Neurocognition and Genetics (PING) cohort study. The trained model exhibited an 83% cross-validated prediction accuracy, and correctly predicted the sex of 77% of the subjects from the independent multi-site dataset. Results showed that cortical thickness of the middle occipital lobes and the angular gyri are major predictors of sex. Results also demonstrated the inferential benefits of going beyond classical regression approaches to capture the interactions among brain features in order to better characterize sex differences in male and female youths. We also identified specific cortical morphological measures and parcellation techniques, such as cortical thickness as derived from the Destrieux atlas, that are better able to discriminate between males and females in comparison to other brain atlases (Desikan-Killiany, Brodmann and subcortical atlases). Copyright © 2018 Elsevier Inc. All rights reserved.

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.

Quantifying Groundwater Model Uncertainty

NASA Astrophysics Data System (ADS)

Hill, M. C.; Poeter, E.; Foglia, L.

2007-12-01

Groundwater models are characterized by the (a) processes simulated, (b) boundary conditions, (c) initial conditions, (d) method of solving the equation, (e) parameterization, and (f) parameter values. Models are related to the system of concern using data, some of which form the basis of observations used most directly, through objective functions, to estimate parameter values. Here we consider situations in which parameter values are determined by minimizing an objective function. Other methods of model development are not considered because their ad hoc nature generally prohibits clear quantification of uncertainty. Quantifying prediction uncertainty ideally includes contributions from (a) to (f). The parameter values of (f) tend to be continuous with respect to both the simulated equivalents of the observations and the predictions, while many aspects of (a) through (e) are discrete. This fundamental difference means that there are options for evaluating the uncertainty related to parameter values that generally do not exist for other aspects of a model. While the methods available for (a) to (e) can be used for the parameter values (f), the inferential methods uniquely available for (f) generally are less computationally intensive and often can be used to considerable advantage. However, inferential approaches require calculation of sensitivities. Whether the numerical accuracy and stability of the model solution required for accurate sensitivities is more broadly important to other model uses is an issue that needs to be addressed. Alternative global methods can require 100 or even 1,000 times the number of runs needed by inferential methods, though methods of reducing the number of needed runs are being developed and tested. Here we present three approaches for quantifying model uncertainty and investigate their strengths and weaknesses. (1) Represent more aspects as parameters so that the computationally efficient methods can be broadly applied. This approach is attainable through universal model analysis software such as UCODE-2005, PEST, and joint use of these programs, which allow many aspects of a model to be defined as parameters. (2) Use highly parameterized models to quantify aspects of (e). While promising, this approach implicitly includes parameterizations that may be considered unreasonable if investigated explicitly, so that resulting measures of uncertainty may be too large. (3) Use a combination of inferential and global methods that can be facilitated using the new software MMA (Multi-Model Analysis), which is constructed using the JUPITER API. Here we consider issues related to the model discrimination criteria calculated by MMA.

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

PubMed Central

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

2010-01-01

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 non-nested models using the Bayesian Information Criterion (BIC) to compare multiple models and identify the optimum number of clusters. The current study clustered 36 young men and women based on their baseline heart rate (HR) and HR variability (HRV), chronic alcohol use, and reasons for drinking. Two cluster groups were identified and labeled High Alcohol Risk and Normative groups. Compared to the Normative group, individuals in the High Alcohol Risk group had higher levels of alcohol use and more strongly endorsed disinhibition and suppression reasons for use. The High Alcohol Risk group showed significant HRV changes in response to positive and negative emotional and appetitive picture cues, compared to neutral cues. In contrast, the Normative group showed a significant HRV change only to negative cues. Findings suggest that the individuals with autonomic self-regulatory difficulties may be more susceptible to heavy alcohol use and use alcohol for emotional regulation. PMID:18331138

Knowledge of and Attitude to Nuclear Power among Residents around Tianwan Nuclear Power Plant in Jiangsu of China

PubMed Central

Yu, Ningle; Zhang, Yimei; Wang, Jin; Cao, Xingjiang; Fan, Xiangyong; Xu, Xiaosan; Wang, Furu

2012-01-01

Aims: The aims of this paper were to determine the level of knowledge of and attitude to nuclear power among residents around Tianwan Nuclear power plant in Jiangsu of China. Design: A descriptive, cross-sectional design was adopted. Participants: 1,616 eligible participants who lived around the Tianwan nuclear power plant within a radius of 30km and at least 18 years old were recruited into our study and accepted epidemiological survey. Methods: Data were collected through self-administered questionnaires consisting of a socio-demographic sheet. Inferential statistics, t-test, ANOVA test and multivariate regression analysis were used to compare the differences between each subgroup and correlation analysis was conducted to understand the relationship between different factors and dependent variables. Results: Our investigation found that the level of awareness and acceptance of nuclear power was generally not high. Respondents' gender, age, marital status, residence, educational level, family income and the distance away from the nuclear power plant are important effect factors to the knowledge of and attitude to nuclear power. Conclusions: The public concerns about nuclear energy's impact are widespread. The level of awareness and acceptance of nuclear power needs to be improved urgently. PMID:22811610

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.

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.

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.

The Relationship between of Teacher Competence, Emotional Intelligence and Teacher Performance Madrasah Tsanawiyah at District of Serang Banten

ERIC Educational Resources Information Center

Wahyuddin, Wawan

2016-01-01

This study wants to examine the relationship between teacher competence and emotional intelligence that held by teachers to increase the teacher performance Madrasah Tsanawiyah at district of Serang Banten. This research was conducted with the quantitative method, through analysis descriptive and inferential. Samples the research were teachers…

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…

Research Agendas and Pedagogical Applications: What "Public Relations Review" Tells Us.

ERIC Educational Resources Information Center

Thomsen, Steven R.

A study explored the research agenda of "Public Relations Review," the oldest scholarly journal in the public relations field. To provide a descriptive and inferential analysis of the content of the journal from 1985 to 1994, four volumes were selected at random (1985, 1987, 1991, and 1993) and all the articles in them were analyzed.…

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.

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.

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…

Make a Drawing. Effects of Strategic Knowledge, Drawing Accuracy, and Type of Drawing on Students' Mathematical Modelling Performance

ERIC Educational Resources Information Center

Rellensmann, Johanna; Schukajlow, Stanislaw; Leopold, Claudia

2017-01-01

Drawing strategies are widely used as a powerful tool for promoting students' learning and problem solving. In this article, we report the results of an inferential mediation analysis that was applied to investigate the roles that strategic knowledge about drawing and the accuracy of different types of drawings play in mathematical modelling…

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

Relationship between the components of on-site training and emotional intelligence in the librarians of Isfahan University of Medical Sciences and Isfahan University with moderating role of personality characteristics

PubMed Central

Sayadi, Saeed; Safdarian, Ali; Khayeri, Behnaz

2015-01-01

Introduction: Training the man power is an inevitable necessity that the organizations need in order to survive and develop in today changing world. Aims: The aim of the present study is to identify the relationship between the components of on-site training and emotional intelligence in librarians of Isfahan University of Medical Sciences and Isfahan University with moderating role of personality characteristics. Settings and Design: Descriptive correlation method was used in the present study. The statistical population of the study was all of the 157 librarians of Isfahan University of Medical Sciences and Isfahan University from whom the appointed individuals were selected through random sampling method. Subjects and Methods: The research tools included the researcher-made questionnaire of investigating the effectiveness of on-site training system and two other standard questionnaires of Shrink emotional intelligence, and NEO personality questionnaire, which all of them had the needed reliability and validity. Statistical Analysis: The descriptive indices (distribution and mean) and also the inferential methods (Pearson correlation, regression analysis and analysis of variance) were used through applying version 20 of SPSS software to analyze the obtained data. Results: There was a significant relationship with certainty level of 95% between the components of on-site training with emotional intelligence in those who obtained low grades in the features of being extrovert and between the individual aspects of on-site training with emotional intelligence in those who got higher grades in the characteristic of being extrovert. Conclusion: The emotional intelligence is a promotable skill and considering the existence of a significant relationship between some components of emotional intelligence and on-site training, these skills can be institutionalized through conducting mentioned educational courses. PMID:27462631

Structural equation modeling assessing relationship between mathematics beliefs, teachers' attitudes and teaching practices among novice teachers in Malaysia

NASA Astrophysics Data System (ADS)

Borhan, Noziati; Zakaria, Effandi

2017-05-01

This quantitative study was conducted to investigate the perception level of novice teachers about mathematics belief, teachers' attitude towards mathematics and teaching practices of mathematics in the classroom. In addition, it also aims to identify whether there is a correspondence model with the data obtained and to identify the relationship between the variables of beliefs, attitudes and practices among novice teachers in Malaysia. A total of 263 primary novice teachers throughout the country were involved in this study were selected randomly. Respondents are required to provide a response to the questionnaire of 66 items related to mathematics beliefs, attitudes and practices of the teaching mathematics. There are ten sub-factors which have been established in this instrument for three major constructs using a Likert scale rating of five points. The items of the constructs undergo the exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) procedure involve of unidimensionality test, convergent validity, construct validity and discriminant validity. Descriptive statistics were used to describe the frequency, percentage, the mean and standard deviation for completing some research questions that have been expressed. As for inferential statistical analysis, the researchers used structural equation modeling (SEM) to answer the question of correspondents model and the relationship between these three variables. The results of the study were found that there exist a correspondence measurement and structural model with the data obtained. While the relationship between variable found that mathematics beliefs have a significant influence on teachers' attitudes towards mathematics as well as the relationship between the attitudes with teaching practices. Meanwhile, mathematics belief had no significant relationship with mathematics teaching practices among novice teachers in Malaysia.

Clinical findings and risk factors to oral squamous cell carcinoma in young patients: A 12-year retrospective analysis.

PubMed

Santos, Hellen-Bandeira-de-Pontes; dos Santos, Thayana-Karla-Guerra; Paz, Alexandre-Rolim; Cavalcanti, Yuri-Wanderley; Nonaka, Cassiano-Francisco-Weege; Godoy, Gustavo-Pina; Alves, Pollianna-Muniz

2016-03-01

In recent years have been observed an increased incidence of OSCC in young individuals. Based on this, the aim this study was to describe the clinical characteristics of all cases of OSCC in younger patients, diagnosed in two oncology referral hospitals, at the northeast region of Brazil within a 12-year period. Data regarding general characteristics of patients (age, gender and tobacco and/or alcohol habits) and information about the lesions (tumor location, size, regional lymph node metastasis, distant metastasis and clinical stage) were submitted to descriptive and inferential analysis. Statistical analysis included Chi-square and Fisher's exact tests (P<0.05). Out of 2311 registered cases of OSCC, 76 (3.3%) corresponded to OSCC in patients under 45 years old. Most of them were male (n=62, 81.6%) and tobacco and/or alcohol users (n=40, 52.8%). The most frequent site was the tongue (n=31, 40.8%), with predominance of cases classified at advanced clinical stage (III and IV, n = 46, 60.5%). The advanced stage of OSCC (III and IV) was statistically associated with male gender (P=0.035), lower education level (P=0.007), intraoral sites (P<0.001), presence of pain symptomatology (P=0.006), and consumption of tobacco and/or alcohol (P=0.001). The profile of OSCC in young patients resembles to the commonly characteristics reported for overall population. The late diagnosis in young patients usually results in poor prognosis, associated with gender, harmful habits and tumor location. Although prevalence is low, stimulus to prevention and to early diagnosis should be addressed to young individuals exposed to risk factors.

Rasch model of a dynamic assessment: an investigation of the children's inferential thinking modifiability test.

PubMed

Rittner, Linda L; Pulos, Steven M

2014-01-01

The purpose of this study was to develop a general procedure for evaluation of a dynamic assessment and to demonstrate an analysis of a dynamic assessment, the CITM (Tzuriel, 1995b), as an objective measure for use as a group assessment. The techniques used to determine the fit of the CITM to a Rasch partial credit model are explicitly outlined. A modified format of the CITM was administered to 266 diverse second grade students in the USA; 58% of participants were identified as low SES. The participants (males n = 144) were White Anglo and Latino American students (55%), many of whom were first generation Mexican immigrants. The CITM was found to adequately fit a Rasch partial credit model (PCM) indicating that the CITM is a likely candidate for a group administered dynamic assessment that can be measured objectively. Data also supported that a model for objectively measuring change in learning ability for inferential thinking in the CITM was feasible.

Professional burnout, stress and job satisfaction of nursing staff at a university hospital.

PubMed

Portero de la Cruz, Silvia; Vaquero Abellán, Manuel

2015-01-01

to describe the social and work characteristics of the nursing staff at a tertiary hospital in the Public Health Service of Andalucía, to assess the degree of professional professional burnout and job satisfaction of those professionals and to study the possible relation between the professional burnout variables and the stress and job satisfaction levels on the one hand and social and employment variables on the other. descriptive and cross-sectional study in a sample of 258 baccalaureate and auxiliary nurses. As research instruments, an original and specific questionnaire was used to collect social and employment variables, the Maslach Burnout Inventory, the Nursing Stress Scale and the Font-Roja questionnaire. Descriptive, inferential statistics and multivariate analysis were applied. average scores were found for professional stress and satisfaction, corresponding to 44,23 and 65,46 points, respectively. As regards professional burnout, an average score was found on the emotional exhaustion subscale; a high score for depersonalization and a low score for professional accomplishment. Studies are needed to identify the scores on these subscales in health organizations and to produce knowledge on their interrelations.

What Is the Effect of Strength Training on Pain and Sleep in Patients With Fibromyalgia?

PubMed

Andrade, Alexandro; Vilarino, Guilherme Torres; Bevilacqua, Guilherme Guimarães

2017-12-01

The study aimed to investigate the effect of an 8-wk structured strength training program on pain and sleep quality in patients with fibromyalgia. Fifty-two patients with fibromyalgia were evaluated; 31 submitted to strength training and 21 comprised the control group. The instruments used were the Fibromyalgia Impact Questionnaire and The Pittsburgh Sleep Quality Index. The questionnaires were applied before the first training session, at 12 sessions, and after 24 sessions. Descriptive statistics (mean, SD, and frequency) and inferential tests were used. After 8 wks of intervention, significant differences were found between groups in subjective quality of sleep (P = 0.03), sleep disturbance (P = 0.02), daytime dysfunction (P = 0.04), and total sleep score (P < 0.01). The correlation analysis using Spearman's test indicated a positive relationship between the variables of pain intensity and sleep quality (P < 0.01); when pain intensity increased in patients with fibromyalgia, sleep quality worsened. Strength training is safe and effective in treating people with fibromyalgia, and a significant decrease in sleep disturbances occurs after 8 wks of intervention.

Network diffusion-based analysis of high-throughput data for the detection of differentially enriched modules

PubMed Central

Bersanelli, Matteo; Mosca, Ettore; Remondini, Daniel; Castellani, Gastone; Milanesi, Luciano

2016-01-01

A relation exists between network proximity of molecular entities in interaction networks, functional similarity and association with diseases. The identification of network regions associated with biological functions and pathologies is a major goal in systems biology. We describe a network diffusion-based pipeline for the interpretation of different types of omics in the context of molecular interaction networks. We introduce the network smoothing index, a network-based quantity that allows to jointly quantify the amount of omics information in genes and in their network neighbourhood, using network diffusion to define network proximity. The approach is applicable to both descriptive and inferential statistics calculated on omics data. We also show that network resampling, applied to gene lists ranked by quantities derived from the network smoothing index, indicates the presence of significantly connected genes. As a proof of principle, we identified gene modules enriched in somatic mutations and transcriptional variations observed in samples of prostate adenocarcinoma (PRAD). In line with the local hypothesis, network smoothing index and network resampling underlined the existence of a connected component of genes harbouring molecular alterations in PRAD. PMID:27731320

Exploring Motivations, Awareness of Side Effects, and Attitudes among Potential Egg Donors

PubMed Central

Gezinski, Lindsay B.; Karandikar, Sharvari; Carter, James; White, Melinda

2016-01-01

This research study surveyed prospective egg donors at orientation to (a) understand women’s motivations to donate eggs, (b) assess awareness and knowledge of egg donation prior to entry into the egg donation program, and (c) explore attitudes toward egg donation. Ninety-two women completed the questionnaire at one fertility clinic located in the Midwest between August 2011 and August 2012. Descriptive and inferential statistics as well as textual analysis were used to analyze the data. Three themes emerged regarding participant motivations: (1) altruistic, (2) financial, and (3) desire to pass on genetic material. The majority of participants were unconcerned with potential physical and psychological side effects; however, differences emerged based on motherhood status and educational level. Although potential donors felt recipients should receive some information about the donor, they tended to value privacy regarding information giving to resultant offspring. This research study has implications for social work practice, policy, and future research. It is crucial that women receive adequate procedural and side effect information prior to engaging in egg donation. PMID:27263197

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.

Writing-to-Learn

PubMed Central

Balachandran, Shreedevi; Venkatesaperumal, Ramesh; Clara, Jothi; Shukri, Raghda K.

2014-01-01

Objectives: The objectives of this study were to assess the attitude of Omani nursing students towards writing-to-learn (WTL) and its relationship to demographic variables, self-efficacy and the writing process Methods: A cross-sectional design was used to evaluate attitudes towards WTL by Sultan Qaboos University nursing students. A convenience sample of 106 students was used and data collected between October 2009 and March 2010. A modified version of the WTL attitude scale developed by Dobie and Poirrier was used to collect the data. Descriptive and inferential statistics were used for analysis. Results: Senior and junior students had more positive attitudes to WTL than mid-level students who tended to have negative attitudes towards writing. Although 52.8% students had negative attitudes towards the writing process, the median was higher for attitudes to the writing process compared to the median for self-efficacy. There was a positive correlation between self-efficacy and writing process scores. Conclusion: Overall, students had negative attitudes towards WTL. Attitudes are learnt or formed through previous experiences. The incorporation of WTL strategies into teaching can transform students’ negative attitudes towards writing into positive ones. PMID:24516740

Connection between competence, usability, environment and risk of falls in elderly adults.

PubMed

Leiva-Caro, José Alex; Salazar-González, Bertha Cecilia; Gallegos-Cabriales, Esther Carlota; Gómez-Meza, Marco Vinicio; Hunter, Kathleen F

2015-01-01

To determine connections between competence, usability, environment and risk of falls in elderly adults. Correlational descriptive study, 123 elderly adults, both male and female, aged 70 years and older were included. Data was collected via the Tinetti Scale, CESD-7 Scale, Montreal Cognitive Assessment, Usability Questionnaire on Housing and Housing Enabler; and sociodemographic and health background certificate data. For data analysis, descriptive and inferential statistics were used, multivariate linear and logistic regression models were adjusted. 42.0% of the elderly adults had presented with falls, with a higher prevalence in women, and in the group of 70-75 years. The physical environment of the house, gait, and usability were set as risk factors for falls. A negative relationship between usability and depressive symptoms, cognitive health, balance, gait, the social and physical environment was found, p <0.05; and a strong positive correlation between walking and balance, p <0.05. This study helps to better understand the phenomenon of falling, to find a connection between usability with the risk of falls, and other variables.

Connection between competence, usability, environment and risk of falls in elderly adults

PubMed Central

Leiva-Caro, José Alex; Salazar-González, Bertha Cecilia; Gallegos-Cabriales, Esther Carlota; Gómez-Meza, Marco Vinicio; Hunter, Kathleen F.

2015-01-01

Objective: to determine connections between competence, usability, environment and risk of falls in elderly adults. Method: correlational descriptive study, 123 elderly adults, both male and female, aged 70 years and older were included. Data was collected via the Tinetti Scale, CESD-7 Scale, Montreal Cognitive Assessment, Usability Questionnaire on Housing and Housing Enabler; and sociodemographic and health background certificate data. For data analysis, descriptive and inferential statistics were used, multivariate linear and logistic regression models were adjusted. Results: 42.0% of the elderly adults had presented with falls, with a higher prevalence in women, and in the group of 70-75 years. The physical environment of the house, gait, and usability were set as risk factors for falls. A negative relationship between usability and depressive symptoms, cognitive health, balance, gait, the social and physical environment was found, p <0.05; and a strong positive correlation between walking and balance, p <0.05. Conclusion: this study helps to better understand the phenomenon of falling, to find a connection between usability with the risk of falls, and other variables. PMID:26626006

Knowledge, Attitude and Practice of Pharmacists regarding Dietary Supplements : A Community Pharmacy- based survey in Tehran.

PubMed

Mehralian, Gholamhossein; Yousefi, Nazila; Hashemian, Farshad; Maleksabet, Hanieh

2014-01-01

The present study aimed to evaluate pharmacy practice regarding dietary supplements in Tehran (I.R. Iran). So, the factors affecting on pharmacists' practice including their knowledge, attitude, and some underlying factors were evaluated. This is an observational knowledge; attitude and practice (KAP) study. The unit of analysis include pharmacies practice located in Tehran. The data was collected in 2013 via an anonymous, self-administered; postal questionnaire consisted of demographic information, knowledge (subjective and objective questions), attitude, and practice evaluation part. Descriptive and inferential statistics were performed using SPSS. This study showed that although the knowledge has a significant effect on attitude and practice, the attention should be paid on other underlying factors such as experience, pharmacy ownership situation and academic degree which might have positive impact on pharmacists' practice. According to this study, although many underlying factors such as experience, university and pharmacy ownership have impact on pharmacy practice regarding dietary supplements, the most attention should paid to knowledge as the main factor and more attention should be paid to training on dietary supplement could be recommended.

Case study of supply induced demand: the case of provision of imaging scans (computed tomography and magnetic resonance) at Unimed-Manaus.

PubMed

Andrade, Edson de Oliveira; Andrade, Elizabeth Nogueira de; Gallo, José Hiran

2011-01-01

To present the experience of a health plan operator (Unimed-Manaus) in Manaus, Amazonas, Brazil, with the accreditation of imaging services and the demand induced by the supply of new services (Roemer's Law). This is a retrospective work studying a time series covering the period from January 1998 to June 2004, in which the computed tomography and the magnetic resonance imaging services were implemented as part of the services offered by that health plan operator. Statistical analysis consisted of a descriptive and an inferential part, with the latter using a mean parametric test (Student T-test and ANOVA) and the Pearson correlation test. A 5% alpha and a 95% confidence interval were adopted. At Unimed-Manaus, the supply of new imaging services, by itself, was identified as capable of generating an increased service demand, thus characterizing the phenomenon described by Roemer. The results underscore the need to be aware of the fact that the supply of new health services could bring about their increased use without a real demand.

Writing-to-Learn: Attitudes of nursing students at Sultan Qaboos University.

PubMed

Balachandran, Shreedevi; Venkatesaperumal, Ramesh; Clara, Jothi; Shukri, Raghda K

2014-02-01

The objectives of this study were to assess the attitude of Omani nursing students towards writing-to-learn (WTL) and its relationship to demographic variables, self-efficacy and the writing process. A cross-sectional design was used to evaluate attitudes towards WTL by Sultan Qaboos University nursing students. A convenience sample of 106 students was used and data collected between October 2009 and March 2010. A modified version of the WTL attitude scale developed by Dobie and Poirrier was used to collect the data. Descriptive and inferential statistics were used for analysis. Senior and junior students had more positive attitudes to WTL than mid-level students who tended to have negative attitudes towards writing. Although 52.8% students had negative attitudes towards the writing process, the median was higher for attitudes to the writing process compared to the median for self-efficacy. There was a positive correlation between self-efficacy and writing process scores. Overall, students had negative attitudes towards WTL. Attitudes are learnt or formed through previous experiences. The incorporation of WTL strategies into teaching can transform students' negative attitudes towards writing into positive ones.

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.

Religiousness and preoperative anxiety: a correlational study.

PubMed

Kalkhoran, Masoomeh Aghamohammadi; Karimollahi, Mansoureh

2007-06-29

Major life changes are among factors that cause anxiety, and one of these changes is surgery. Emotional reactions to surgery have specific effects on the intensity and velocity as well as the process of physical disease. In addition, they can cause delay in patients recovery. This study is aimed at determining the relationship between religious beliefs and preoperative anxiety. This survey is a correlational study to assess the relationship between religious beliefs and preoperative anxiety of patients undergoing abdominal, orthopaedic, and gynaecologic surgery in educational hospitals. We used the convenience sampling method. The data collection instruments included a questionnaire containing the Spielberger State-Trait Anxiety Inventory (STAI), and another questionnaire formulated by the researcher with queries on religious beliefs and demographic characteristics as well as disease-related information. Analysis of the data was carried out with SPSS software using descriptive and inferential statistics. Results were arranged in three tables. The findings showed that almost all the subjects had high level of religiosity and moderate level of anxiety. In addition, there was an inverse relationship between religiosity and intensity of anxiety, though this was not statistically significant. The results of this study can be used as evidence for presenting religious counselling and spiritual interventions for individuals undergoing stress. Finally, based on the results of this study, the researcher suggested some recommendations for applying results and conducting further research.

Religiousness and preoperative anxiety: a correlational study

PubMed Central

Aghamohammadi Kalkhoran, Masoomeh; Karimollahi, Mansoureh

2007-01-01

Background Major life changes are among factors that cause anxiety, and one of these changes is surgery. Emotional reactions to surgery have specific effects on the intensity and velocity as well as the process of physical disease. In addition, they can cause delay in patients recovery. This study is aimed at determining the relationship between religious beliefs and preoperative anxiety. Methods This survey is a correlational study to assess the relationship between religious beliefs and preoperative anxiety of patients undergoing abdominal, orthopaedic, and gynaecologic surgery in educational hospitals. We used the convenience sampling method. The data collection instruments included a questionnaire containing the Spielberger State-Trait Anxiety Inventory (STAI), and another questionnaire formulated by the researcher with queries on religious beliefs and demographic characteristics as well as disease-related information. Analysis of the data was carried out with SPSS software using descriptive and inferential statistics. Results were arranged in three tables. Results The findings showed that almost all the subjects had high level of religiosity and moderate level of anxiety. In addition, there was an inverse relationship between religiosity and intensity of anxiety, though this was not statistically significant. Conclusion The results of this study can be used as evidence for presenting religious counselling and spiritual interventions for individuals undergoing stress. Finally, based on the results of this study, the researcher suggested some recommendations for applying results and conducting further research. PMID:17603897

Effectiveness of planned teaching program on knowledge regarding Alzheimer's disease among the family members of elderly in a selected urban community at Mangalore

PubMed Central

Rodrigues, Lavina; Mathias, Thereza

2016-01-01

Background: Alzheimer's disease is one of the debilitating chronic diseases among older persons. It is an irreversible condition that leads to progressive deterioration of cognitive, intellectual, physical, and psychosocial functions. The study was aimed to assess the knowledge of the family members of elderly regarding Alzheimer's disease in a selected urban community at Mangalore. Materials and Methods: A preexperimental research design of one group pretest and posttest with an evaluative approach was adopted for the study. A total of 50 family members of elderly who met the inclusion criteria were selected through purposive sampling technique. The researcher developed a planned teaching program on Alzheimer's disease, and structured knowledge questionnaire on Alzheimer's disease was used to collect the data. Results: Descriptive and inferential statistics was used to analyze the data. Analysis revealed that the mean posttest knowledge (20.78 ± 3.31) was higher than mean pretest knowledge scores (12.90 ± 2.43). Significance of difference between pretest and posttest was statistically tested using paired “t” test and it was found very highly significant (t = 40.85, P < 0.05). Majority of the variables showed no significant association between pretest and posttest knowledge score and with demographic variables. Conclusion: The findings revealed that the planned teaching program is an effective strategy for improving the knowledge of the subjects. PMID:26985104

Effectiveness of planned teaching program on knowledge regarding Alzheimer's disease among the family members of elderly in a selected urban community at Mangalore.

PubMed

Rodrigues, Lavina; Mathias, Thereza

2016-01-01

Alzheimer's disease is one of the debilitating chronic diseases among older persons. It is an irreversible condition that leads to progressive deterioration of cognitive, intellectual, physical, and psychosocial functions. The study was aimed to assess the knowledge of the family members of elderly regarding Alzheimer's disease in a selected urban community at Mangalore. A preexperimental research design of one group pretest and posttest with an evaluative approach was adopted for the study. A total of 50 family members of elderly who met the inclusion criteria were selected through purposive sampling technique. The researcher developed a planned teaching program on Alzheimer's disease, and structured knowledge questionnaire on Alzheimer's disease was used to collect the data. Descriptive and inferential statistics was used to analyze the data. Analysis revealed that the mean posttest knowledge (20.78 ± 3.31) was higher than mean pretest knowledge scores (12.90 ± 2.43). Significance of difference between pretest and posttest was statistically tested using paired "t" test and it was found very highly significant (t = 40.85, P < 0.05). Majority of the variables showed no significant association between pretest and posttest knowledge score and with demographic variables. The findings revealed that the planned teaching program is an effective strategy for improving the knowledge of the subjects.

The Relationship between Family Functioning and Academic Achievement in Female High School Students of Isfahan, Iran, in 2013-2014.

PubMed

Rezaei-Dehaghani, Abdollah; Keshvari, Mahrokh; Paki, Somayeh

2018-01-01

Nowadays, the most important problem of the educational system is the vast spread of school failure. Therefore, detection of the factors leading to or preventing students' academic achievement is of utmost importance. Family function is considered to be a critical component of academic success. This study aimed to investigate the relationship between family functioning and academic achievement in high school female students in Isfahan. This descriptive correlational study was conducted through random sampling among 237 female high school students in Isfahan during school year 2013-2014. Data were collected by participants' personal characteristics and Bloom family function questionnaires. To analyze the data, descriptive statistics (mean and standard deviation) and inferential statistics (Pearson correlation and linear regression analysis) were adopted and computed using SPSS software. The results showed a significant correlation between family function (except lack of independence) and students' academic achievement ( p < 0.05). Further, among family function dimensions, expressiveness ( β = 0.235, p < 0.001), family socialization ( β = 0.219, p = 0.001), and cohesion ( β = 0.211, p = 0.001) were more reliable predictors of academic achievement. The results of this study showed that students' academic achievement is highly correlated with the performance of their families. Therefore, to improve students' educational status in cultural and educational programs, which are specified for them, family function centered plans should be at the heart of attention.

The Relationship between Psychological Wellbeing and Body Image in Pregnant Women

PubMed Central

Fahami, Fariba; Amini-Abchuyeh, Maryam; Aghaei, Asghar

2018-01-01

Background: The aim of the present study was to determine the association between body image and psychological wellbeing during pregnancy. Materials and Methods: This descriptive correlational study was conducted on 320 pregnant women who were referred to health centers in Isfahan, Iran, during 2016 and had the inclusion criteria. They were selected by nonprobability convenient sampling. Data were gathered using standard psychological wellbeing and body image satisfaction questionnaires. The data were analyzed using Statistical Package for the Social Sciences software by descriptive and inferential statistical methods. Results: The results showed that the mean (SD) score of psychological wellbeing among participants was 77.50 (10.10) and their mean (SD) score of satisfaction with body image was 89.30 (14.60). Moreover, the results revealed a positive and significant relationship between the scores of psychological wellbeing and body image satisfaction (r=0.354, p <0.001). The results of regression analysis showed that the two variables of self-acceptance (t = 5.6, p <0.001) and personal growth (t = 2.06, p = 0.04)) can predict body image in pregnant women. Conclusions: The findings revealed a significant positive relationship between body image satisfaction and psychological wellbeing. Therefore, the training of positive attitude with respect to body image or increasing the level of knowledge on psychological wellbeing can create a positive cycle for these variables, and thus, make the pregnancy more enjoyable and acceptable. PMID:29861752

[Characterization of patients with skeletal genetic diseases in a Colombian referral center].

PubMed

Velasco, Harvy Mauricio; Buelvas, Lina Patricia

2017-06-01

Short height in Colombia has an estimated prevalence of 10%. The 2009 Nosology and Classification of Skeletal Genetic Diseases described 456 clinical conditions using biochemical, molecular and radiological criteria for diagnosis. To analyze demographic, epidemiological and clinical variables in a group of patients with skeletal genetic diseases referred to the Instituto de Ortopedia Infantil Roosevelt. Patients referred between 2008 and 2014 were analyzed filtering 167 diagnoses of the International Classification of Diseases, 10th revision (ICD 10), related to skeletal genetic diseases. Demographic, epidemiological and clinical variables were explored using descriptive statistics. An intervention score was generated contemplating different combinations of treatments. An inferential statistical analysis using Student's t test was performed on such variables. The most frequent reason for consultation was suspicion of a genetic skeletal disorder. The types of treatments considered included support, surgical, pharmacological and orthotics, and it was established that genetic skeletal disorders were associated with higher intervention scores while tall and short height showed a lower score. Most referred patients were classified with genetic bone diseases, short stature and other monogenic genetic diseases. Significant differences were found between the age at symptoms onset and the age of diagnosis. Diversity was found in the therapeutic approach among different groups of pathologies. Patients with tall and short height showed lower intervention scores, which may warn on the need to reassess the therapeutic requirements of these groups.

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.

The Relationship between Psychological Wellbeing and Body Image in Pregnant Women.

PubMed

Fahami, Fariba; Amini-Abchuyeh, Maryam; Aghaei, Asghar

2018-01-01

The aim of the present study was to determine the association between body image and psychological wellbeing during pregnancy. This descriptive correlational study was conducted on 320 pregnant women who were referred to health centers in Isfahan, Iran, during 2016 and had the inclusion criteria. They were selected by nonprobability convenient sampling. Data were gathered using standard psychological wellbeing and body image satisfaction questionnaires. The data were analyzed using Statistical Package for the Social Sciences software by descriptive and inferential statistical methods. The results showed that the mean (SD) score of psychological wellbeing among participants was 77.50 (10.10) and their mean (SD) score of satisfaction with body image was 89.30 (14.60). Moreover, the results revealed a positive and significant relationship between the scores of psychological wellbeing and body image satisfaction (r=0.354, p <0.001). The results of regression analysis showed that the two variables of self-acceptance ( t = 5.6, p <0.001) and personal growth ( t = 2.06, p = 0.04)) can predict body image in pregnant women. The findings revealed a significant positive relationship between body image satisfaction and psychological wellbeing. Therefore, the training of positive attitude with respect to body image or increasing the level of knowledge on psychological wellbeing can create a positive cycle for these variables, and thus, make the pregnancy more enjoyable and acceptable.

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

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.

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

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.

Assessment of dental student satisfaction with regard to process of thesis educational courses

PubMed Central

Eslamipour, Faezeh; Noroozi, Zahra; Hosseinpour, Kobra

2015-01-01

Introduction: Ensuring achievement of research experience by students is one of the most important goals of the thesis-conduction process and evaluation of student satisfaction with this process is one of the most imperative challenges herein. Aims: The aim of this study is to investigate the satisfaction of dental students passing the thesis educational course from the Isfahan Dental School. Settings and Design: Sixty-two dental students who had graduated in2011, from the Isfahan Dental School, participated in this descriptive cross-sectional study Materials and Methods: The postgraduate Research Experience Questionnaire (PREQ) was used for data collection. The questionnaire evaluated student satisfaction in seven domains: Thesis supervision, skill development, intellectual climate, infrastructure, thesis examination, goals and expectations, and overall satisfaction. Statistical Analysis Used: The data were analyzed on an SPSS software using descriptive and inferential statistics. Results: The mean score of satisfaction of the participants was 75 ± 12. On the basis of their scores, satisfaction in 3.2% of them was slow, in 33.9%was medium, in 61.3% was good and in 1.6% was high. The highest satisfaction was found to be in thesis supervision and the least was in the intellectual climate domain. There was no significant statistical difference between satisfaction and gender (P = 0.46). Conclusions: Considering the results, to increase student satisfaction for passing the thesis courses, it is necessary to improve the intellectual climate in dental schools and also increase the research budget for more financial support of students to carry out their projects. PMID:27462643

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

Design and implementation of estimation-based monitoring programs for flora and fauna: A case study on the Cherokee National Forest

USGS Publications Warehouse

Klimstra, J.D.; O'Connell, A.F.; Pistrang, M.J.; Lewis, L.M.; Herrig, J.A.; Sauer, J.R.

2007-01-01

Science-based monitoring of biological resources is important for a greater understanding of ecological systems and for assessment of the target population using theoretic-based management approaches. When selecting variables to monitor, managers first need to carefully consider their objectives, the geographic and temporal scale at which they will operate, and the effort needed to implement the program. Generally, monitoring can be divided into two categories: index and inferential. Although index monitoring is usually easier to implement, analysis of index data requires strong assumptions about consistency in detection rates over time and space, and parameters are often biasednot accounting for detectability and spatial variation. In most cases, individuals are not always available for detection during sampling periods, and the entire area of interest cannot be sampled. Conversely, inferential monitoring is more rigorous because it is based on nearly unbiased estimators of spatial distribution. Thus, we recommend that detectability and spatial variation be considered for all monitoring programs that intend to make inferences about the target population or the area of interest. Application of these techniques is especially important for the monitoring of Threatened and Endangered (T&E) species because it is critical to determine if population size is increasing or decreasing with some level of certainty. Use of estimation-based methods and probability sampling will reduce many of the biases inherently associated with index data and provide meaningful information with respect to changes that occur in target populations. We incorporated inferential monitoring into protocols for T&E species spanning a wide range of taxa on the Cherokee National Forest in the Southern Appalachian Mountains. We review the various approaches employed for different taxa and discuss design issues, sampling strategies, data analysis, and the details of estimating detectability using site occupancy. These techniques provide a science-based approach for monitoring and can be of value to all resource managers responsible for management of T&E species.

Examining the Impact of Inference Instruction on the Literal and Inferential Comprehension of Skilled and Less Skilled Readers: A Meta-Analytic Review

ERIC Educational Resources Information Center

Elleman, Amy M.

2017-01-01

Inference ability is considered central to discourse processing and has been shown to be important across models of reading comprehension. To evaluate the impact of inference instruction, a meta-analysis of 25 inference studies in Grades K-12 was conducted. Results showed that inference instruction was effective for increasing students' general…

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.

Geospatial and machine learning techniques for wicked social science problems: analysis of crash severity on a regional highway corridor

NASA Astrophysics Data System (ADS)

Effati, Meysam; Thill, Jean-Claude; Shabani, Shahin

2015-04-01

The contention of this paper is that many social science research problems are too "wicked" to be suitably studied using conventional statistical and regression-based methods of data analysis. This paper argues that an integrated geospatial approach based on methods of machine learning is well suited to this purpose. Recognizing the intrinsic wickedness of traffic safety issues, such approach is used to unravel the complexity of traffic crash severity on highway corridors as an example of such problems. The support vector machine (SVM) and coactive neuro-fuzzy inference system (CANFIS) algorithms are tested as inferential engines to predict crash severity and uncover spatial and non-spatial factors that systematically relate to crash severity, while a sensitivity analysis is conducted to determine the relative influence of crash severity factors. Different specifications of the two methods are implemented, trained, and evaluated against crash events recorded over a 4-year period on a regional highway corridor in Northern Iran. Overall, the SVM model outperforms CANFIS by a notable margin. The combined use of spatial analysis and artificial intelligence is effective at identifying leading factors of crash severity, while explicitly accounting for spatial dependence and spatial heterogeneity effects. Thanks to the demonstrated effectiveness of a sensitivity analysis, this approach produces comprehensive results that are consistent with existing traffic safety theories and supports the prioritization of effective safety measures that are geographically targeted and behaviorally sound on regional highway corridors.

Evaluation of SOVAT: an OLAP-GIS decision support system for community health assessment data analysis.

PubMed

Scotch, Matthew; Parmanto, Bambang; Monaco, Valerie

2008-06-09

Data analysis in community health assessment (CHA) involves the collection, integration, and analysis of large numerical and spatial data sets in order to identify health priorities. Geographic Information Systems (GIS) enable for management and analysis using spatial data, but have limitations in performing analysis of numerical data because of its traditional database architecture.On-Line Analytical Processing (OLAP) is a multidimensional datawarehouse designed to facilitate querying of large numerical data. Coupling the spatial capabilities of GIS with the numerical analysis of OLAP, might enhance CHA data analysis. OLAP-GIS systems have been developed by university researchers and corporations, yet their potential for CHA data analysis is not well understood. To evaluate the potential of an OLAP-GIS decision support system for CHA problem solving, we compared OLAP-GIS to the standard information technology (IT) currently used by many public health professionals. SOVAT, an OLAP-GIS decision support system developed at the University of Pittsburgh, was compared against current IT for data analysis for CHA. For this study, current IT was considered the combined use of SPSS and GIS ("SPSS-GIS"). Graduate students, researchers, and faculty in the health sciences at the University of Pittsburgh were recruited. Each round consisted of: an instructional video of the system being evaluated, two practice tasks, five assessment tasks, and one post-study questionnaire. Objective and subjective measurement included: task completion time, success in answering the tasks, and system satisfaction. Thirteen individuals participated. Inferential statistics were analyzed using linear mixed model analysis. SOVAT was statistically significant (alpha = .01) from SPSS-GIS for satisfaction and time (p < .002). Descriptive results indicated that participants had greater success in answering the tasks when using SOVAT as compared to SPSS-GIS. Using SOVAT, tasks were completed more efficiently, with a higher rate of success, and with greater satisfaction, than the combined use of SPSS and GIS. The results from this study indicate a potential for OLAP-GIS decision support systems as a valuable tool for CHA data analysis.

Evaluation of SOVAT: An OLAP-GIS decision support system for community health assessment data analysis

PubMed Central

Scotch, Matthew; Parmanto, Bambang; Monaco, Valerie

2008-01-01

Background Data analysis in community health assessment (CHA) involves the collection, integration, and analysis of large numerical and spatial data sets in order to identify health priorities. Geographic Information Systems (GIS) enable for management and analysis using spatial data, but have limitations in performing analysis of numerical data because of its traditional database architecture. On-Line Analytical Processing (OLAP) is a multidimensional datawarehouse designed to facilitate querying of large numerical data. Coupling the spatial capabilities of GIS with the numerical analysis of OLAP, might enhance CHA data analysis. OLAP-GIS systems have been developed by university researchers and corporations, yet their potential for CHA data analysis is not well understood. To evaluate the potential of an OLAP-GIS decision support system for CHA problem solving, we compared OLAP-GIS to the standard information technology (IT) currently used by many public health professionals. Methods SOVAT, an OLAP-GIS decision support system developed at the University of Pittsburgh, was compared against current IT for data analysis for CHA. For this study, current IT was considered the combined use of SPSS and GIS ("SPSS-GIS"). Graduate students, researchers, and faculty in the health sciences at the University of Pittsburgh were recruited. Each round consisted of: an instructional video of the system being evaluated, two practice tasks, five assessment tasks, and one post-study questionnaire. Objective and subjective measurement included: task completion time, success in answering the tasks, and system satisfaction. Results Thirteen individuals participated. Inferential statistics were analyzed using linear mixed model analysis. SOVAT was statistically significant (α = .01) from SPSS-GIS for satisfaction and time (p < .002). Descriptive results indicated that participants had greater success in answering the tasks when using SOVAT as compared to SPSS-GIS. Conclusion Using SOVAT, tasks were completed more efficiently, with a higher rate of success, and with greater satisfaction, than the combined use of SPSS and GIS. The results from this study indicate a potential for OLAP-GIS decision support systems as a valuable tool for CHA data analysis. PMID:18541037

[Burnout syndrome and suicide risk among primary care nurses].

PubMed

Tomás-Sábado, Joaquín; Maynegre-Santaulària, Montserrat; Pérez-Bartolomé, Meritxell; Alsina-Rodríguez, Marta; Quinta-Barbero, Roser; Granell-Navas, Sergi

2010-01-01

To observe the prevalence of the burnout syndrome and the relationship with suicide risk, self-esteem, anxiety and depression, in a sample of primary care nurses. Observational, cross-sectional and correlational study. The sample consisted of 146 nursing professionals, 131 women and 15 men, with an average age of 44.02 years (SD=10.89). Participants responded to a questionnaire which included the Spanish forms of the Maslach burnout inventory (MBI), the Plutchik Suicide Risk Scale (SR), the Kuwait University Anxiety Scale (KUAS), the Self-Rating Depression Scale (SDS) and the Rosenberg Self-esteem Scale (RSES). In the inferential statistical analysis, Pearson's r coefficients and multiple linear regression were calculated. Significant correlations between suicidal risk and anxiety, depression, self-esteem, emotional exhaustion and personal performance, were obtained. In the multiple regression analysis, depression was the main predictor of suicidal risk, followed by anxiety and emotional exhaustion. The scores obtained in burnout and suicidal risk were, in general, lower than those observed in other studies, emphasising the high level observed in personal performance, which reflects reasonable professional satisfaction. The results show the important role of working atmosphere and early recognition of mental disorders in burnout and suicidal risk prevention. Copyright (c) 2009 Elsevier España, S.L. All rights reserved.

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.

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

[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.

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.

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

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

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

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.

Middle school students' earthquake content and preparedness knowledge - A mixed method study

NASA Astrophysics Data System (ADS)

Henson, Harvey, Jr.

The purpose of this study was to assess the effect of earthquake instruction on students' earthquake content and preparedness for earthquakes. This study used an innovative direct instruction on earthquake science content and concepts with an inquiry-based group activity on earthquake safety followed by an earthquake simulation and preparedness video to help middle school students understand and prepare for the regional seismic threat. A convenience sample of 384 sixth and seventh grade students at two small middle schools in southern Illinois was used in this study. Qualitative information was gathered using open-ended survey questions, classroom observations, and semi-structured interviews. Quantitative data were collected using a 21 item content questionnaire administered to test students' General Earthquake Knowledge, Local Earthquake Knowledge, and Earthquake Preparedness Knowledge before and after instruction. A pre-test and post-test survey Likert scale with 21 items was used to collect students' perceptions and attitudes. Qualitative data analysis included quantification of student responses to the open-ended questions and thematic analysis of observation notes and interview transcripts. Quantitative datasets were analyzed using descriptive and inferential statistical methods, including t tests to evaluate the differences in means scores between paired groups before and after interventions and one-way analysis of variance (ANOVA) to test for differences between mean scores of the comparison groups. Significant mean differences between groups were further examined using a Dunnett's C post hoc statistical analysis. Integration and interpretation of the qualitative and quantitative results of the study revealed a significant increase in general, local and preparedness earthquake knowledge among middle school students after the interventions. The findings specifically indicated that these students felt most aware and prepared for an earthquake after an intervention that consisted of an inquiry-based group discussion on safety, earthquake content presentation and earthquake simulation video presentation on preparedness. Variations of the intervention, including no intervention, were not as effective in significantly increasing students' conceptual learning of earthquake knowledge.

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.

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.

Knowledge elicitation techniques and application to nuclear plant maintenance

NASA Astrophysics Data System (ADS)

Doyle, E. Kevin

The new millennium has brought with it the opportunity of global trade which in turn requires the utmost in efficiency from each individual industry. This includes the nuclear power industry, a point which was emphasized when the electrical generation industry began to be de regulated across North America the late 1990s and re-emphasized when the northeast power grid of North America collapsed in the summer of 2003. This dissertation deals with reducing the cost of the maintenance function of Candu nuclear power plants and initiating a strong link between universities and the Canadian nuclear industry. Various forms of RCM (reliability-centred maintenance) have been the tools of choice in industry for improving the maintenance function during the last 20 years. In this project, pilot studies, conducted at Bruce Power between 1999 and 2005, and reported on in this dissertation, lay out a path to implement statistical improvements as the next step after RCM in reducing the cost of the maintenance. Elicitation protocols, designed for the age group being elicited, address the much-documented issue of a lack of data. Clear, graphical, inferential statistical interfaces are accentuated and developed to aid in building the teams required to implement the various methodologies and to help in achieving funding targets. Graphical analysis and Crow/AMSAA (army materials systems analysis activity) plots are developed and demonstrated from the point of view of justifying the expenditures of cost reduction efforts. This dissertation ultimately speaks to the great opportunity being presented by this approach at this time: of capturing the baby-boom generation's huge pool of knowledge before those people retire. It is expected that the protocols and procedures referenced here will have applicability across the many disciplines where collecting expert information from a similar age group is required.

Family home visiting outcomes for mothers with and without intellectual disabilities.

PubMed

Monsen, K; Sanders, A; Yu, F; Radosevich, D; Geppert, J

2011-05-01

The purpose of this study was to evaluate outcomes of public health nurse home visiting for mothers with intellectual disabilities (ID) and a comparison group. The study was a secondary analysis of existing de-identified family home visiting data. It used a two-group comparative, 1:3 match design. Sixty-eight clients were in the study (n = 17 for mothers with ID and n = 51 for mothers without ID). Client characteristics and problem prevalence were compared using standard descriptive and inferential statistics. Mixed model methods were used for the analysis of outcomes, accounting for baseline scores, time of services and matched cases. Mothers with and without ID showed statistically significant improvement following family home visiting services. For both groups, discharge scores were consistently higher than the corresponding admission scores, with a mean increase of 0.37 (range = 0.05-0.90). Mothers without ID attained higher outcomes than mothers with ID. Seven of 21 outcomes significantly improved for mothers with ID, and 10 of 21 for the comparison group. The percentage of mothers with ID attaining the benchmark of 4 ranged from 13.3% to 90.4% and for the comparison group ranged from 30% to 95.7%. Public health nurses addressed 15 environmental, psychosocial, physiological and behavioural problems for both groups. Family home visiting appears to be effective in assisting parents with ID to have improved outcomes in many domains. These results provide an opportunity for service providers, home visiting nurses and public health agencies to understand the unique needs of mothers with ID. © 2011 The Authors. Journal of Intellectual Disability Research © 2011 Blackwell Publishing Ltd.

How do repeat suicide attempters differ from first timers? An exploratory record based analysis

PubMed Central

Menon, Vikas; Kattimani, Shivanand; Sarkar, Siddharth; Mathan, Kaliaperumal

2016-01-01

Background: Evidence indicates that repeat suicide attempters, as a group, may differ from 1st time attempters. The identification of repeat attempters is a powerful but underutilized clinical variable. Aims: In this research, we aimed to compare individuals with lifetime histories of multiple attempts with 1st time attempters to identify factors predictive of repeat attempts. Setting and Design: This was a retrospective record based study carried out at a teaching cum Tertiary Care Hospital in South India. Methods: Relevant data was extracted from the clinical records of 1st time attempters (n = 362) and repeat attempters (n = 61) presenting to a single Tertiary Care Center over a 4½ year period. They were compared on various sociodemographic and clinical parameters. The clinical measures included Presumptive Stressful Life Events Scale, Beck Hopelessness Scale, Coping Strategies Inventory – Short Form, and the Global Assessment of Functioning Scale. Statistical Analysis Used: First time attempters and repeaters were compared using appropriate inferential statistics. Logistic regression was used to identify independent predictors of repeat attempts. Results: The two groups did not significantly differ on sociodemographic characteristics. Repeat attempters were more likely to have given prior hints about their act (χ2 = 4.500, P = 0.034). In the final regression model, beck hopelessness score emerged as a significant predictor of repeat suicide attempts (odds ratio = 1.064, P = 0.020). Conclusion: Among suicide attempters presenting to the hospital, the presence of hopelessness is a predictor of repeat suicide attempts, independent of clinical depression. This highlights the importance of considering hopelessness in the assessment of suicidality with a view to minimize the risk of future attempts. PMID:26933353

A comparative study on vaccination pain in the methods of massage therapy and mothers' breast feeding during injection of infants referring to Navabsafavi Health Care Center in Isfahan.

PubMed

Esfahani, Mitra Savabi; Sheykhi, Sanaz; Abdeyazdan, Zahra; Jodakee, Mohamadreza; Boroumandfar, Khadijeh

2013-11-01

Vaccination is one of the most common painful procedures in infants. The irreversible consequences due to pain experiences in infants are enormous. Breast feeding and massage therapy methods are the non-drug methods of pain relief. Therefore, this research aimed to compare the vaccination-related pain in infants who underwent massage therapy or breast feeding during injection. This study is a randomized clinical trial. Ninety-six infants were allocated randomly and systematically to three groups (breast feeding, massage, and control groups). The study population comprised all infants, accompanied by their mothers, referring to one of the health centers in Isfahan for vaccination of hepatitis B and DPT at 6 months of age and for MMR at 12 months of age. Data gathering was done using questionnaire and checklist [neonatal infant pain scale (NIPS)]. Data analysis was done using descriptive and inferential statistical methods with SPSS software. Findings of the study showed that the three groups had no statistically significant difference in terms of demographic characteristics (P > 0/05). The mean pain scores in the breast feeding group, massage therapy, and control group were 3.4, 3.9, and 4.8, respectively (P < 0.05). Then the least significant difference (LSD) post hoc test was performed. Differences between the groups, i.e. massage therapy and breast feeding (P = 0.041), breast feeding group and control (P < 0.001), and massage therapy and control groups (P = 0.002) were statistically significant. Considering the results of the study, it seems that breast feeding during vaccination has more analgesic effect than massage therapy. Therefore, it is suggested as a noninvasive, safe, and accessible method without any side effects for reducing vaccination-related pain.

Don't Push Your Luck! Educational Family Board (Not Bored) Game for School-Age Children Living with Chronic Conditions.

PubMed

Kennedy, Andrea; Semple, Lisa; Alderson, Kerri; Bouskill, Vanessa; Karasevich, Janice; Riske, Brenda; van Gunst, Sheri

Children who are living with chronic conditions may be supported in self-care through enjoyable active learning and family social processes. This research focused on development and evaluation of "Don't Push Your Luck!", an educational board game designed to inspire family discussion about chronic conditions, and help affected children learn about self-care choices and consequences. Mixed-method research was conducted with families from one outpatient Cystic Fibrosis Clinic and four Hemophilia Treatment Centres in Canada and United States (N=72). In phase I, board game prototype and questionnaires were refined with affected boys, siblings, and parents living with hemophilia (n=11), compared with families living with cystic fibrosis (n=11). In phase II, final board game was evaluated with families living with hemophilia (n=50). Data collection included pre-post-game questionnaires on decision-making and Haemo-QoL Index©, and post-game enjoyment. Analysis included descriptive statistics, inferential statistics (non-parametric), and qualitative themes. Findings revealed this game was an enjoyable and effective resource to engage families in self-care discussions. Key themes included communication, being involved, knowing, decisions and consequences, and being connected. Qualitative and quantitative findings aligned. Statistical significance suggests the game enhanced family engagement to support decision-making skills, as parents identified that the game helped them talk about important topics, and children gained insight regarding family supports and self-care responsibility. This board game was an effective, developmentally appropriate family resource to facilitate engagement and conversation about everyday life experiences in preparation for self-care. There is promising potential to extend this educational family board game intervention with a greater range of school-age children and families living with chronic conditions. Copyright © 2017 Elsevier Inc. All rights reserved.

Information-seeking behavior of cardiovascular disease patients in Isfahan University of Medical Sciences hospitals

PubMed Central

Zamani, Maryam; Soleymani, Mohammad Reza; Afshar, Mina; Shahrzadi, Leila; Zadeh, Akbar Hasan

2014-01-01

Background: Patients, as one of the most prominent groups requiring health-based information, encounter numerous problems in order to obtain these pieces of information and apply them. The aim of this study was to determine the information-seeking behavior of cardiovascular patients who were hospitalized in Isfahan University of Medical Sciences hospitals. Materials and Methods: This is a survey research. The population consisted of all patients with cardiovascular disease who were hospitalized in the hospitals of Isfahan University of Medical Sciences during 2012. According to the statistics, the number of patients was 6000. The sample size was determined based on the formula of Cochran; 400 patients were randomly selected. Data were collected by researcher-made questionnaire. Two-level descriptive statistics and inferential statistics were used for analysis. Results: The data showed that the awareness of the probability to recover and finding appropriate medical care centers were the most significant informational needs. The practitioners, television, and radio were used more than the other informational resources. Lack of familiarity to medical terminologies and unaccountability of medical staff were the major obstacles faced by the patients to obtain information. The results also showed that there was no significant relationship between the patients’ gender and information-seeking behavior, whereas there was a significant relationship between the demographic features (age, education, place of residence) and information-seeking behavior. Conclusion: Giving information about health to the patients can help them to control their disease. Appropriate methods and ways should be used based on patients’ willingness. Despite the variety of information resources, patients expressed medical staff as the best source for getting health information. Information-seeking behavior of the patients was found to be influenced by different demographic and environmental factors. PMID:25250349

The effective factors on library anxiety of students in Isfahan University of Medical Sciences and Shiraz University of Medical Sciences.

PubMed

Ashrafi-Rizi, Hasan; Sajad, Maryam Sadat; Rahmani, Sedigheh; Bahrami, Susan; Papi, Ahmad

2014-01-01

The efficient use of libraries can be an important factor in determining the educational quality of Universities. Therefore, investigation and identification of factors affecting library anxiety becomes increasingly necessary. The purpose of this research is to determine the factors effecting library anxiety of students in Isfahan University of Medical Sciences and Shiraz University of Medical Sciences. This was an applied survey research using Bostick's Library Anxiety questionnaire as data gathering tool. The statistical population consisted of all students of Isfahan University of Medical Sciences and Shiraz University of Medical Sciences (15011 students) with the sample size of 375 using stratified random sampling. The validity of data gathering tool was confirmed by experts in the library and information science and its reliability was determined by Cronbach's alpha (r = 0.92). Descriptive statistics (frequency, percentage, mean and standard deviation) and inferential statistics (t-test and ANOVA) were used for data analysis using SPSS 18 software. Findings showed that the mean of library anxiety score was 2.68 and 2.66 for students of Isfahan University of Medical Sciences and Shiraz University of Medical Sciences respectively which is above average (2.5). Furthermore, age and gender had no meaningful effect on the library anxiety of students of Isfahan University of Medical Sciences, but gender had a meaningful effect on library anxiety of students of Shiraz University of Medical Sciences while age had no such effect. The results showed that the mean of factors effecting library anxiety in students of Isfahan University of Medical Sciences and students of Shiraz University of Medical Sciences is higher than average and therefore not satisfactory and only factors relating to feeling comfortable in the library is lower than average and somewhat satisfactory.

Professional conduct among registered nurses in the use of online social networking sites.

PubMed

Levati, Sara

2014-10-01

To explore the use of Facebook by Registered Nurses (RNs) in Italy and the United Kingdom (UK), focusing on the disclosure of personal and professional information. The use of online social network sites among medical students and doctors is posing new ethical challenges to the profession. To date, little research has explored the use of online social networking sites among nurses. A cross-national survey. Data were assessed on 124 nurses' profile pages, readily available without viewing restrictions. Content analysis and inferential statistics were undertaken to describe usage and identify similarities and differences between the two country-groups of nurses. Data were collected between December 2011-January 2012. Overall, UK and Italian RNs showed a similar use of the online platform, tending to disclose personal pictures, home town and current home location, as well as updates and comments related to personal and work-related activities. A statistically significant higher proportion of nurses in Italy disclosed their sexual orientation. In both groups, a few cases were observed of potentially unprofessional content in relation to the use of alcohol, nudity and material of a salacious nature. Although most of the UK and Italy RNs appear to be aware of the risks posed by their online exposure, their online activity indicates the blurring of their personal and professional lives; this is posing new ethical, legal and professional challenges to members of the nursing profession. Further research and debate is encouraged at national and international level. © 2014 John Wiley & Sons Ltd.

[Relationship between family variables and conjugal adjustment].

PubMed

Jiménez-Picón, Nerea; Lima-Rodríguez, Joaquín-Salvador; Lima-Serrano, Marta

2018-04-01

To determine whether family variables, such as type of relationship, years of marriage, existence of offspring, number of members of family, stage of family life cycle, transition between stages, perceived social support, and/or stressful life events are related to conjugal adjustment. A cross-sectional and correlational study using questionnaires. Primary care and hospital units of selected centres in the province of Seville, Spain. Consecutive stratified sampling by quotas of 369 heterosexual couples over 18years of age, who maintained a relationship, with or without children, living in Seville. A self-report questionnaire for the sociodemographic variables, and the abbreviated version of the Dyadic Adjustment Scale, Questionnaire MOS Perceived Social Support, and Social Readjustment Rating Scale, were used. Descriptive and inferential statistics were performed with correlation analysis and multivariate regression. Statistically significant associations were found between conjugal adjustment and marriage years (r=-10: P<.05), stage of family life cycle (F=2.65; P<.05), the transition between stages (RPB=.11; P<.05) and perceived social support (r=.44; P<.001). The regression model showed the predictive power of perceived social support and the family life cycle stage (mature-aged stage) on conjugal adjustment (R2=.21; F=9.9; df=356; P<.001). Couples may be assessed from Primary Care and be provide with resources and support. In addition, it can identify variables that may help improve the conjugal relationship. Copyright © 2017 Elsevier España, S.L.U. All rights reserved.

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.

Prevalence of depressive symptoms among schoolchildren in Cyprus: a cross-sectional descriptive correlational study.

PubMed

Sokratis, Sokratous; Christos, Ζilides; Despo, Panagi; Maria, Karanikola

2017-01-01

Depressive symptoms in the young constitute a public health issue. The current study aims to estimate: (a) the frequency of depressive symptoms in a sample of final grade elementary-school children in Cyprus, (b) the association among frequency of depressive symptoms, gender and nationality and, (c) the metric properties of the Greek-Cypriot version of the children's depression inventory (CDI). A descriptive cross-sectional study with internal comparison was performed. The occurrence of depressive symptoms was assessed with the CDI, which includes 5 subscales: depressive mood, interpersonal difficulties, ineffectiveness, anhedonia and negative self-esteem. Clinical depressive symptoms were reported as CDI score ≥19. CDI was anonymously and voluntarily completed by 439 schoolchildren [mean age 12.3 (±0.51) years old] from fifteen public elementary schools (217 boys and 222 girls), yielding a response rate of 58.2%. The metric properties of the CDI were assessed in terms of internal consistency reliability and construct validity via exploratory factor analysis (rotated and unrotated principal component analysis). Descriptive and inferential statistics were explored. 10.25% of Cypriot schoolchildren reported clinical depressive symptoms (CDI score ≥19). Statistically significant differences were reported between boys and girls in all five subscales of the CDI. Girls reported higher scores in "Depressive mood", "Negative self-esteem" and "Anhedonia" subscales, while boys scored higher in "Interpersonal difficulties" and "Ineffectiveness" subscales. There were no statistically significant differences among ethnicity groups regarding the entire CDI or the subscales of it. Concerning the metric properties of the Greek-Cypriot version of the CDI, internal consistency reliability was adequate (Cronbach's alpha = 0.84). Factor analysis with varimax rotation resulted in five factors explaining 42% of the variance. The Greek-Cypriot version of the CDI is a reliable tool for the assessment of the severity of depressive symptoms in schoolchildren. Institutional counseling services, as well as interventions aiming to empower the young need to address the different psychological needs of boys and girls. Longitudinal studies within this cultural context may be warranted, with special attention to other factors related to depressive symptoms and low self-esteem in schoolchildren, such as suicidality or bullying.

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.

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.

Older orthopaedic patients' perceptions of individualised care: a comparative survey.

PubMed

Suhonen, Riitta; Leino-Kilpi, Helena

2012-06-01

To describe and compare the individualised care perceptions of older orthopaedic patients' and patients of working age. Age has been found to influence perceptions of care and although individualised care is highlighted in the literature, it is seldom studied from an older person's perspective. Descriptive and comparative. Data were collected using the Individualised Care Scale from orthopaedic patients (n = 420, response rate 84%). The participants were divided into two groups: those 65 and over (n = 149) and those under 65 and working (n = 271). Data analysis used descriptive and inferential statistics. Patients expressed a desire for individualised care, and gave relatively good evaluations about the perceived support for their individuality and the realisation of individualised care. Differences in the perceptions of individualised care were found between, but not within, the two groups. The older patients were more positive in their evaluations. There is a need for programmes of individualised care that are age-adjusted. As the older population rises worldwide individualised care becomes more important in the care of older people. These findings provide baseline data for the development of individualised nursing care from the patients' perspective. © 2010 Blackwell Publishing Ltd.

Professional burnout, stress and job satisfaction of nursing staff at a university hospital1

PubMed Central

Portero de la Cruz, Silvia; Vaquero Abellán, Manuel

2015-01-01

OBJECTIVES: to describe the social and work characteristics of the nursing staff at a tertiary hospital in the Public Health Service of Andalucía, to assess the degree of professional professional burnout and job satisfaction of those professionals and to study the possible relation between the professional burnout variables and the stress and job satisfaction levels on the one hand and social and employment variables on the other. METHOD: descriptive and cross-sectional study in a sample of 258 baccalaureate and auxiliary nurses. As research instruments, an original and specific questionnaire was used to collect social and employment variables, the Maslach Burnout Inventory, the Nursing Stress Scale and the Font-Roja questionnaire. Descriptive, inferential statistics and multivariate analysis were applied. RESULTS: average scores were found for professional stress and satisfaction, corresponding to 44,23 and 65,46 points, respectively. As regards professional burnout, an average score was found on the emotional exhaustion subscale; a high score for depersonalization and a low score for professional accomplishment. Studies are needed to identify the scores on these subscales in health organizations and to produce knowledge on their interrelations. PMID:26155012

How to practice creative thinking skills through scaffolding on biotech content?

NASA Astrophysics Data System (ADS)

Natadiwijaya, I. F.; Rahmat, A.; Redjeki, S.; Anggraeni, S.

2018-05-01

Biotechnology content is a more applicative field of science, so learners should be able to have creative thinking skills in applying concepts to problem solving. In this research, Scaffolding learning has been conducted, which is student form of concept development based on constructivism learning paradigm and students build creative thinking skill through the creation of biotechnology product ideas. The research design was R & D method. The subject of this research is a semester V biology education student at Wiralodra University. The instruments used are biotechnology creative thinking tests and program implementation observations. The data of creative thinking test was analyzed using inferential statistic, while the observation sheet used descriptive analysis. The result of this research is the result of students’ creative thinking skill as well as description of the recommended shape and characteristics of the program, with the following results. The scaffolding learning program has a significant influence on students’ creative thinking skill, and the program that trains creative thinking skill is built through two phases, namely phase 1 in concept building where students build their own knowledge, and phase 2 where students build thinking skills creatively through the creation of biotechnology product ideas.

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

The Mais Médicos (More Doctors) Program, the infrastructure of Primary Health Units and the Municipal Human Development Index.

PubMed

Soares, Joaquim José; Machado, Maria Helena; Alves, Cecília Brito

2016-09-01

The main objective of this article was to examine the context in which professionals working within the Mais Médicos (More Doctors) Program operate. This study used the infrastructure scale of primary health units (PHUs), which was recently developed by Soares Neto and colleagues to provide more information regarding the relationship between the infrastructure of PHUs and the Municipal Human Development Index (MHDI) of municipalities that received Mais Médicos Program doctors. Using exploratory and inferential statistics, the article shows that 65.2% of the PHUs that received Mais Médicos Program doctors had medium-quality infrastructure and only 5.8% of them had low-quality infrastructure. The correlation of 0.50 between the infrastructure indicator and the MHDI points to a moderate tendency for municipalities with low MHDIs to have more precarious PHUs. Using multiple linear regression analysis it can be inferred that the main factor that contributed to the increase in the infrastructure indicator of the PHUs was the average municipal income. On the other hand, the factor that negatively affected the infrastructure of the PHUs was being located in the north or northeast regions.

Identifying the Factors Affecting Papers' Citability in the Field of Medicine: an Evidence-based Approach Using 200 Highly and Lowly-cited Papers.

PubMed

Yaminfirooz, Mousa; Ardali, Farzaneh Raeesi

2018-01-01

Nowadays, publishing highly-cited papers is important for researchers and editors. In this evidence-based study, the factors influencing the citability of published papers in the field of medicine have been identified. 200 papers indexed in Scopus (in two groups: highly-cited and lowly-cited) with 100 papers in each were studied. Needed data were manually collected with a researcher-made checklist. Data analysis was done in SPSS using descriptive and inferential statistics. Variables such as journal IF, journal rank, journal subject quartile, the first/corresponding author's h-index, the number of documents produced by the first/corresponding author, SJR and SNIP had significantly positive correlation with paper citability (p< .05). Other variables, including among others, paper age, paper type, the number of references, the number of authors, indexing institute and journal kind had not any relationship with paper citability (p> .05). the factors affecting the citability are among indicators relating to authors, publishing journals and published papers. Determining the extent to which these factors influence the citability of a paper needs further large-scaled research. Authors and editors searching for high-citedness should consider these factors when authoring and publishing papers.

[Teacher's perfomance assessment in Family Medicine specialization].

PubMed

Martínez-González, Adrián; Gómez-Clavelina, Francisco J; Hernández-Torres, Isaías; Flores-Hernández, Fernando; Sánchez-Mendiola, Melchor

2016-01-01

In Mexico there is no systematic evaluation of teachers in medical specialties. It is difficult to identify appropriate teaching practices. The lack of evaluation has limited the recognition and improvement of teaching. The objective of this study was to analyze feedback from students about teaching activities of teachers-tutors responsible for the specialization course in family medicine, and evaluate the evidence of reliability and validity of the instrument applied online. It was an observational and cross-sectional study. Seventy eight teachers of Family Medicine of medical residency were evaluated by 734 resident´s opinion. The anonymous questionnaire to assess teaching performance by resident's opinion and it is composed of 5 dimensions using a Likert scale. Descriptive and inferential statistics (t test, one-way ANOVA and factor analysis) were used. Residents stated that teaching performance is acceptable, with an average of 4.25 ± 0.93. The best valued dimension was "Methodology" with an average of 4.34 ± .92 in contrast to the "assessment" dimension with 4.16 ± 1.04. Teachers of specialization in family medicine have acceptable performance by resident's opinion. The online assessment tool meets the criteria of validity and reliability.

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.

Perceived deprivation in active duty military nurse anesthetists.

PubMed

Pearson, Julie A; Fallacaro, Michael D; Pellegrini, Joseph E

2009-02-01

There is a shortage of military Certified Registered Nurse Anesthetists (CRNAs). Relative deprivation is a perception of unfairness due to discrepancies between what one has and what one could or should have that is dependent on feelings (subjective data) and facts (objective data). Feelings of relative deprivation could contribute to the military CRNA shortage. The purposes of this study were to measure relative deprivation in active-duty military CRNAs and explore variables that correlate with relative deprivation. The descriptive, correlational study was conducted using a self-administered survey sent to 435 active-duty Army, Navy, and Air Force CRNAs. Surveys were distributed to subjects by mail and could be answered by mail or by secured website. Data were analyzed using descriptive and inferential statistics. Analysis of the data revealed a calculated response rate of 57.7%. There was no significant correlation (P < .05) between years as a CRNA, military pay, promotion opportunity, or scope of practice/autonomy and relative deprivation. Correlations of the psychological factors "wanting" and "deserving" with relative deprivation were significant (P < .001). Further research is indicated to identify definitive factors that can be modified to improve feelings of deprivation as they relate to retention and recruitment of military CRNAs.

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.

[Rating scales based on the phenomenological and structural approach].

PubMed

Schiltz, L

2006-01-01

A current tendency of research in clinical psychology consists in using an integrated quantitative and qualitative methodology. This approach is especially suited to the study of the therapeutic intervention where the researcher is himself part of the situation he is investigating. As to the tools of research, the combination of the semi-structured clinical interview, of psychometric scales and projective tests has proved to be pertinent to describe the multidimensional and fluctuating reality of the therapeutic relationship and the changes induced by it in the two partners. In arts therapeutic research the investigation of the artistic production or of the free expression of people may complete the psychometric and projective tools. The concept of "expressive test" is currently being used to characterise this method. In this context, the development of rating scales, based on the phenomenological and structural or holistic approach allows us making the link between qualitative analysis and quantification, leading to the use of inferential statistics, providing that we remain at the nominal or ordinal level of measurement. We are explaining the principle of construction of these rating scales and we are illustrating our practice with some examples drawn from studies we realized in clinical psychology.

The influence of the compression interface on the failure behavior and size effect of concrete

NASA Astrophysics Data System (ADS)

Kampmann, Raphael

The failure behavior of concrete materials is not completely understood because conventional test methods fail to assess the material response independent of the sample size and shape. To study the influence of strength and strain affecting test conditions, four typical concrete sample types were experimentally evaluated in uniaxial compression and analyzed for strength, deformational behavior, crack initiation/propagation, and fracture patterns under varying boundary conditions. Both low friction and conventional compression interfaces were assessed. High-speed video technology was used to monitor macrocracking. Inferential data analysis proved reliably lower strength results for reduced surface friction at the compression interfaces, regardless of sample shape. Reciprocal comparisons revealed statistically significant strength differences between most sample shapes. Crack initiation and propagation was found to differ for dissimilar compression interfaces. The principal stress and strain distributions were analyzed, and the strain domain was found to resemble the experimental results, whereas the stress analysis failed to explain failure for reduced end confinement. Neither stresses nor strains indicated strength reductions due to reduced friction, and therefore, buckling effects were considered. The high-speed video analysis revealed localize buckling phenomena, regardless of end confinement. Slender elements were the result of low friction, and stocky fragments developed under conventional confinement. The critical buckling load increased accordingly. The research showed that current test methods do not reflect the "true'' compressive strength and that concrete failure is strain driven. Ultimate collapse results from buckling preceded by unstable cracking.

Relationship between critical thinking disposition and teaching efficacy among special education integration program teachers in Malaysia

NASA Astrophysics Data System (ADS)

Sulaiman, Tajularipin; a/l Kuppusamy, Suresh Kumar; Ayub, Ahmad Fauzi Mohd; Rahim, Suzieleez Syrene Abdul

2017-01-01

This study aims to assess the level of critical thinking disposition and teaching efficacy among the Special Education Integration Programme (SEIP) teachers in Negeri Sembilan, Malaysia. The level of critical thinking dispositions and teaching efficacy in the SEIP were compared based on teaching experience and gender. The study also examined the relationship between critical thinking disposition and teaching efficacy at SEIP. The research adopted a quantitative survey approach. A total of 190 primary school teachers from the SEIP in Negeri Sembilan were selected using proportional sampling method. The instrument used in this study comprised of three sections; demography, critical thinking disposition and teaching efficacy. Descriptive and inferential statistics were used in the analysis. Analysis shows that the respondents have a moderate level of critical thinking disposition (M = 2.99, S.D = 0.160) and teaching efficacy (M = 3.01 S.D. = 0.128) was at a high level. For teaching experience, the analysis showed that thinking disposition of novice teachers (mean = 2.52, SD = .503) are significantly higher than experienced teachers (mean = 2.35, SD = .481, t = 2.244, p <.05). There was no significant difference between male and female SEIP teachers in critical thinking disposition and teaching efficacy. Findings also indicated that there is a significant positive moderate relationship (r = .477) between critical thinking disposition and teaching efficacy among SEIP teachers. This study suggests that critical thinking disposition and teaching efficacy play an important role to enhance the performance of SEIP teachers.

Association between physical activity, participation in Physical Education classes, and social isolation in adolescents.

PubMed

Santos, Simone José dos; Hardman, Carla Menêses; Barros, Simone Storino Honda; Santos da Franca, Carolina; Santos, Carolina da F B F; Barros, Mauro Virgilio Gomes de

2015-01-01

To analyze the association between physical activity, participation in Physical Education classes, and indicators of social isolation among adolescents. This was an epidemiological study based on secondary analysis of data from a representative sample of students (14-19 years) from public high schools (n=4,207). Data were collected through the questionnaire Global School-based Student Health Survey. The independent variables were the level of physical activity and enrollment in Physical Education classes, while the dependent variables were two indicators of social isolation (feeling of loneliness and having few friends). Descriptive and inferential procedures were used in the statistical analysis. Most of the adolescents were classified as insufficiently active (65.1%) and reported not attending Physical Education classes (64.9%). Approximately two in each ten participants reported feeling of loneliness (15.8%) and, in addition, about one in each five adolescents reported have only one friend (19.5%). In the bivariate analysis, a significantly lower proportion of individuals reporting social isolation was observed among adolescents who referred higher enrollment in Physical Education classes. After adjustment for confounding variables, binary logistic regression showed that attending Physical Education classes was identified as a protective factor in relation to the indicator of social isolation 'having few friends,' but only for girls. It was concluded that participation in Physical Education classes is associated with reduced social isolation among female adolescents. Copyright © 2015 Sociedade Brasileira de Pediatria. Published by Elsevier Editora Ltda. All rights reserved.

External Validity: From Do-calculus to Transportability Across Populations

DTIC Science & Technology

2012-05-01

experiments with a different version. Their analysis is a special case of the theory developed in this paper (Petersen, 2011). A related application is...described below. 4 J. PEARL AND E. BAREINBOIM expected effect of a given intervention. Auxiliary to C, a causal model should also yield an estimand Qi(P...and used to confirm or disconfirm the model against the data. The structure of this inferential exercise is shown schematically in Figure 1. For a

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.

Blunt traumatic injury during pregnancy: a descriptive analysis from a level 1 trauma center.

PubMed

Al-Thani, Hassan; El-Menyar, Ayman; Sathian, Brijesh; Mekkodathil, Ahammed; Thomas, Sam; Mollazehi, Monira; Al-Sulaiti, Maryam; Abdelrahman, Husham

2018-03-27

The precise incidence of trauma in pregnancy is not well-known, but trauma is estimated to complicate nearly 1 in 12 pregnancies and it is the leading non-obstetrical cause of maternal death. A retrospective study of all pregnant women presented to national level 1 trauma center from July 2013 to June 2015 was conducted. Descriptive and inferential statistics applied for data analysis. Across the study period, a total of 95 pregnant women were presented to the trauma center. The average incidence rate of traumatic injuries was 250 per 1000 women of childbearing age presented to the Hamad Trauma Center. The mean age of patients was 30.4 ± SD 5.6 years, with age ranging from 20 to 42 years. The mean gestational age at the time of injury was 24.7 ± 8.7 weeks which ranged from 5 to 37 weeks. The majority (47.7%) was in the third trimester of the pregnancy. In addition, the large majority of injuries was due to MVCs (74.7%) followed by falls (15.8%). Trauma during pregnancy is not an uncommon event particularly in the traffic-related crashes. As it is a complex condition for trauma surgeons and obstetrician, an appropriate management protocol and multidisciplinary team are needed to improve the outcome and save lives of both the mother and fetus.

[Depressive symptoms among medical intern students in a Brazilian public university].

PubMed

Costa, Edméa Fontes de Oliva; Santana, Ygo Santos; Santos, Ana Teresa Rodrigues de Abreu; Martins, Luiz Antonio Nogueira; Melo, Enaldo Vieira de; Andrade, Tarcísio Matos de

2012-01-01

To estimate, among Medical School intern students, the prevalence of depressive symptoms and their severity, as well as associated factors. Cross-sectional study in May 2008, with a representative sample of medical intern students (n = 84) from Universidade Federal de Sergipe (UFS). Beck Depression Inventory (BDI) and a structured questionnaire containing information on sociodemographic variables, teaching-learning process, and personal aspects were used. The exploratory data analysis was performed by descriptive and inferential statistics. Finally, the analysis of multiple variables by logistic regression and the calculation of simple and adjusted ORs with their respective 95% confidence intervals were performed. The general prevalence was 40.5%, with 1.2% (95% CI: 0.0-6.5) of severe depressive symptoms; 4.8% (95% CI: 1.3-11.7) of moderate depressive symptoms; and 34.5% (95% CI: 24.5-45.7) of mild depressive symptoms. The logistic regression revealed the variables with a major impact associated with the emergence of depressive symptoms: thoughts of dropping out (OR 6.24; p = 0.002); emotional stress (OR 7.43;p = 0.0004); and average academic performance (OR 4.74; p = 0.0001). The high prevalence of depressive symptoms in the study population was associated with variables related to the teaching-learning process and personal aspects, suggesting immediate preemptive measures regarding Medical School graduation and student care are required.

Constructing the effect of alternative intervention strategies on historic epidemics.

PubMed

Cook, A R; Gibson, G J; Gottwald, T R; Gilligan, C A

2008-10-06

Data from historical epidemics provide a vital and sometimes under-used resource from which to devise strategies for future control of disease. Previous methods for retrospective analysis of epidemics, in which alternative interventions are compared, do not make full use of the information; by using only partial information on the historical trajectory, augmentation of control may lead to predictions of a paradoxical increase in disease. Here we introduce a novel statistical approach that takes full account of the available information in constructing the effect of alternative intervention strategies in historic epidemics. The key to the method lies in identifying a suitable mapping between the historic and notional outbreaks, under alternative control strategies. We do this by using the Sellke construction as a latent process linking epidemics. We illustrate the application of the method with two examples. First, using temporal data for the common human cold, we show the improvement under the new method in the precision of predictions for different control strategies. Second, we show the generality of the method for retrospective analysis of epidemics by applying it to a spatially extended arboreal epidemic in which we demonstrate the relative effectiveness of host culling strategies that differ in frequency and spatial extent. Some of the inferential and philosophical issues that arise are discussed along with the scope of potential application of the new method.

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

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).

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.

An empirical comparison of SPM preprocessing parameters to the analysis of fMRI data.

PubMed

Della-Maggiore, Valeria; Chau, Wilkin; Peres-Neto, Pedro R; McIntosh, Anthony R

2002-09-01

We present the results from two sets of Monte Carlo simulations aimed at evaluating the robustness of some preprocessing parameters of SPM99 for the analysis of functional magnetic resonance imaging (fMRI). Statistical robustness was estimated by implementing parametric and nonparametric simulation approaches based on the images obtained from an event-related fMRI experiment. Simulated datasets were tested for combinations of the following parameters: basis function, global scaling, low-pass filter, high-pass filter and autoregressive modeling of serial autocorrelation. Based on single-subject SPM analysis, we derived the following conclusions that may serve as a guide for initial analysis of fMRI data using SPM99: (1) The canonical hemodynamic response function is a more reliable basis function to model the fMRI time series than HRF with time derivative. (2) Global scaling should be avoided since it may significantly decrease the power depending on the experimental design. (3) The use of a high-pass filter may be beneficial for event-related designs with fixed interstimulus intervals. (4) When dealing with fMRI time series with short interstimulus intervals (<8 s), the use of first-order autoregressive model is recommended over a low-pass filter (HRF) because it reduces the risk of inferential bias while providing a relatively good power. For datasets with interstimulus intervals longer than 8 seconds, temporal smoothing is not recommended since it decreases power. While the generalizability of our results may be limited, the methods we employed can be easily implemented by other scientists to determine the best parameter combination to analyze their data.

An analysis, sensitivity and prediction of winter fog events using FASP model over Indo-Gangetic plains, India

NASA Astrophysics Data System (ADS)

Srivastava, S. K., Sr.; Sharma, D. A.; Sachdeva, K.

2017-12-01

Indo-Gangetic plains of India experience severe fog conditions during the peak winter months of December and January every year. In this paper an attempt has been to analyze the spatial and temporal variability of winter fog over Indo-Gangetic plains. Further, an attempt has also been made to configure an efficient meso-scale numerical weather prediction model using different parameterization schemes and develop a forecasting tool for prediction of fog during winter months over Indo-Gangetic plains. The study revealed that an alarming increasing positive trend of fog frequency prevails over many locations of IGP. Hot spot and cluster analysis were conducted to identify the high fog prone zones using GIS and inferential statistical tools respectively. Hot spots on an average experiences fog on 68.27% days, it is followed by moderate and cold spots with 48.03% and 21.79% respectively. The study proposes a new FASP (Fog Analysis, sensitivity and prediction) Model for overall analysis and prediction of fog at a particular location and period over IGP. In the first phase of this model long term climatological fog data of a location is analyzed to determine its characteristics and prevailing trend using various advanced statistical techniques. During a second phase a sensitivity test is conducted with different combination of parameterization schemes to determine the most suitable combination for fog simulation over a particular location and period and in the third and final phase, first ARIMA model is used to predict the number of fog days in future . Thereafter, Numerical model is used to predict the various meteorological parameters favourable for fog forecast. Finally, Hybrid model is used for fog forecast over the study location. The results of the FASP model are validated with actual ground based fog data using statistical tools. Forecast Fog-gram generated using hybrid model during Jan 2017 shows highly encouraging results for fog occurrence/Non occurrence between 25 hrs to 72 hours forecast. The model predicted the fog occurrences/Non occurrence with more than 85 % accuracy over most of the locations across the study area. The minimum visibility departure is within 500 m on 90% occasions over the central IGP and within 1000m on more than 80 % occasions over most of the locations across Indo-Gangetic plains.

Estimation of parameter uncertainty for an activated sludge model using Bayesian inference: a comparison with the frequentist method.

PubMed

Zonta, Zivko J; Flotats, Xavier; Magrí, Albert

2014-08-01

The procedure commonly used for the assessment of the parameters included in activated sludge models (ASMs) relies on the estimation of their optimal value within a confidence region (i.e. frequentist inference). Once optimal values are estimated, parameter uncertainty is computed through the covariance matrix. However, alternative approaches based on the consideration of the model parameters as probability distributions (i.e. Bayesian inference), may be of interest. The aim of this work is to apply (and compare) both Bayesian and frequentist inference methods when assessing uncertainty for an ASM-type model, which considers intracellular storage and biomass growth, simultaneously. Practical identifiability was addressed exclusively considering respirometric profiles based on the oxygen uptake rate and with the aid of probabilistic global sensitivity analysis. Parameter uncertainty was thus estimated according to both the Bayesian and frequentist inferential procedures. Results were compared in order to evidence the strengths and weaknesses of both approaches. Since it was demonstrated that Bayesian inference could be reduced to a frequentist approach under particular hypotheses, the former can be considered as a more generalist methodology. Hence, the use of Bayesian inference is encouraged for tackling inferential issues in ASM environments.

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.

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).

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.

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

Identification of functional modules that correlate with phenotypic difference: the influence of network topology

PubMed Central

2010-01-01

One of the important challenges to post-genomic biology is relating observed phenotypic alterations to the underlying collective alterations in genes. Current inferential methods, however, invariably omit large bodies of information on the relationships between genes. We present a method that takes account of such information - expressed in terms of the topology of a correlation network - and we apply the method in the context of current procedures for gene set enrichment analysis. PMID:20187943

A Study of Persistence in the Northeast State Community College Health-Related Programs of Study

NASA Astrophysics Data System (ADS)

Hamilton, Allana R.

2011-12-01

The purpose of the study was to identify factors that were positively associated with persistence to graduation by students who were admitted to Health-Related Programs leading to the degree associate of applied science at Northeast State Community College. The criterion variable in this study was persistence, which was categorized into two groups the persister group (program completers) and the nonpersister (program noncompleters) group. The predictor variables included gender, ethnic origin, first- (or nonfirst-) generation-student status, age, specific major program of study, number of remedial and/or developmental courses taken, grades in selected courses (human anatomy and physiology I and II, microbiology, probability and statistics, composition I, clinical I, clinical II), and number of mathematics and science credit hours earned prior to program admission. The data for this ex post facto nonexperimental design were located in Northeast State's student records database, Banner Information System. The subjects of the study were students who had been admitted into Health-Related Programs of study at a 2-year public community college between the years of 1999 and 2008. The population size was 761. Health-Related Programs of study included Dental Assisting, Cardiovascular Technology, Emergency Medical Technology -- Paramedic, Medical Laboratory Technology, Nursing, and Surgical Technology. A combination of descriptive and inferential statistics was used in the analysis of the data. Descriptive statistics included measures of central tendency, standard deviations, and percentages, as appropriate. Independent samples t-tests were used to determine if the mean of a variable on one group of subjects was different from the mean of the same variable with a different group of subjects. It was found that gender, ethnic origin, first-generation status, and age were not significantly associated with persistence to graduation. However, findings did reveal a statistically significant difference in persistence rates among the specific Health-Related Programs of study. Academic data including grades in human anatomy and physiology I, probability and statistics, and composition I, suggested a relationship between the course grade and persistence to graduation. Findings also revealed a relationship between the number of math and science courses completed and students' persistence to graduation.

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.

[Sociodemographic context of homicide in Mexico City: a spatial analysis].

PubMed

Fuentes Flores, César; Sánchez Salinas, Omar

2015-12-01

Investigate the spatial distribution pattern of the homicide rate and its relation to sociodemographic features in the Benito Juárez, Coyoacán, and Cuauhtémoc districts of Mexico City in 2010. Inferential cross-sectional study that uses spatial analysis methods to study the spatial association of the homicide rate and demographic features. Spatial association was determined through the location quotient, multiple regression analysis, and the use of geographically weighted regression. Homicides show a heterogeneous location pattern with high rates in areas with non-residential land use, low population density, and low marginalization. Spatial analysis tools are powerful instruments for the design of prevention- and recreation-focused public safety policies that aim to reduce mortality from external causes such as homicides.

Patients' satisfaction of service quality in Saudi hospitals: a SERVQUAL analysis.

PubMed

Al-Borie, Hussein M; Damanhouri, Amal M Sheikh

2013-01-01

Saudi Arabian hospital performance, vis-á-vis patient satisfaction with service provision, has emerged as a key policy and planning concern. Keeping in view public and private hospital service quality, this article seeks to provide guidelines to the on-going Saudi Arabian health service reorganization, which emphasizes decentralization, bed-capacity expansion, research-based policymaking and initiatives in the health insurance sector. The article outlines an empirical study that compares patient satisfaction with service quality in Saudi Arabian public and private sector hospitals. The authors employ a stratified random sample (1,000 inpatients) from five Saudi Arabian public and five private hospitals. Data were collected through questionnaire using the SERVQUAL scale. For reducing the language bias the questionnaire was translated into Arabic. The response rate was 74.9 percent. Data were analyzed using SPSS and appropriate descriptive and inferential statistical techniques. Cronbach's alpha for five service-quality dimensions (tangibles, reliability, responsiveness, safety and empathy) were high and the SERVQUAL instrument proved to be reliable, valid and appropriate. The results showed that sex, education, income and occupation were statistically significant in influencing inpatients' satisfaction, and all the null hypotheses were rejected. Only inpatient age was not significant. The study highlights service quality influence in the design of broader healthcare strategies for Saudi Arabian public and private hospitals. It demands that management researchers and analysts must identify regional service quality consistencies and related inpatient demographic indicators. The study offers some insights into, and guidance for, hospital quality assurance in Saudi Arabia in general and the urban hospital setting in the Middle-East in particular.

Evaluation of nursing students' communication abilities in clinical courses in hospitals.

PubMed

Shafakhah, Mahnaz; Zarshenas, Ladan; Sharif, Farkhondeh; Sabet Sarvestani, Raheleh

2015-01-26

Joint Commission on Accreditation of Healthcare Organizations (JCAHO) has established, improving communication as a priority for improving patient safety since 2006. Therefore, the present study aimed to evaluate nursing students' communication abilities to recognize their strengths and weaknesses in communication skills. This cross-sectional study was carried out in 2014. The study participants included all the nursing students who passed two semesters in Fatemeh School of Nursing and Midwifery in Shiraz, Iran. The students' communication skills were assessed using a self-administered questionnaire. Then, the data were entered into the SPSS statistical software (v. 16) and analyzed using both descriptive (mean and percentage) and inferential statistics (Pearson correlation and ANOVA). Among the 200 students who completed the questionnaires, 58% were female and 42% were male with the mean age of 21.79 years (SD=2.14). The results of Pearson correlation analysis demonstrated a significant correlation between the nursing students' clinical communication behavior scores and treatment communication ability scores (P<0.001). The findings demonstrated that most nursing students required improvement in their communication skills in both clinical communication behavior and treatment communication ability. Besides, a significant difference was observed among the students of different terms regarding clinical communication behaviors (P?0.05), but not concerning communication abilities. Nursing students in higher semesters had better communication skills. The results showed that nursing students in this university had a moderate ability in clinical and treatment communication. Thus, paying attention to standard education, curriculum revision, and adding some specific theoretical lessons for improving communication skills are mandatory during the bachelor's degree.

Comparative study on perceived abuse and social neglect among rural and urban geriatric population

PubMed Central

Kaur, Jaspreet; Kaur, Jasbir; Sujata, N.

2015-01-01

Context: Elder abuse and social neglect are unrecognized problem. Many forms of elder abuse exist including physical, psychological, financial, sexual and social neglect. Social neglect is experienced by elderly through loss of friends and family members. Aim: Comparison of perceived abuse and social neglect among elderly residing in selected rural and urban areas. Settings and Design: Study setting was a rural area Pohir and urban area Jamalpur of district Ludhiana. Subjects and Methods: A sample of 200 subjects (100 subjects each from rural and urban area respectively) of age 60 years and above was drawn by cluster sampling technique and interview method was used to collect data by using Likert scale. Statistical Analysis: Descriptive and inferential statistics were carried out with SPSS package. Results: Results of the present study revealed that perceived physical abuse (25%) was higher among elderly residing in rural and it was found significantly higher among female elderly who were illiterate, widow/widower and partially dependent on caregiver whereas perceived psychological abuse (71%), financial abuse (37%) and social neglect (74%) were higher among elderly residing in urban. A significant association was found between psychological abuse and educational status, which inferred that as the level of education increases perception of psychological abuse also increases. The perceived financial abuse was significantly higher among male elderly who were financially independent. Conclusion: It was concluded that social neglect was most common, followed by psychological abuse and financial abuse among elderly residing in urban whereas physical abuse was more prevalent among elderly residing in rural. PMID:26816425

Impact of dental orientation given to mothers during pregnancy on oral health of their children

PubMed Central

Rigo, Lilian; Dalazen, Jaqueline; Garbin, Raíssa Rigo

2016-01-01

ABSTRACT Objective To analyze the perception of mothers about oral health of their children, as well as to check the influence of demographic variables, perception and preventive practice in oral health of mothers regarding guidance received during pregnancy. Methods Quantitative and cross-sectional field study, with a non-probability sample formed by all mothers who attended the primary healthcare unit of Ijuí (RS), Brazil, from January to July 2014, comprising a sample of 79 women. Self-applied questionnaires were given to these mothers. Data analysis was carried out using descriptive and inferential statistics, the χ2 test at a significance level of 5%. Results The mothers who received dental orientation during pregnancy had greater perception of oral health of their children. The mean age of mothers was 26 years, most of them attended high school education (32.9%) and worked outside the home (60.8%). There was a statistically significant relation between the outcome variable, dental orientation during pregnancy, and the independent variables: schooling level of mothers, occupation, baby’s first visit to the dentist, duration of breastfeeding, beginning of baby’s tooth brushing and knowledge about dental decay (p<0.005). Conclusion Mothers with higher schooling levels and who worked outside the home had more knowledge about oral care, because they received dental orientation during pregnancy. The dental guidance during pregnancy influences the mother in the procedures adopted with their children, as to early oral hygiene, first dentist appointment, duration of breastfeeding, knowledge about the factors that lead to dental decay. PMID:27462897

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.

Clinical study on natural gingival color.

PubMed

Gómez-Polo, Cristina; Montero, Javier; Gómez-Polo, Miguel; Martín Casado, Ana María

2018-05-29

The aims of the study were: to describe the gingival color surrounding the upper incisors in three sites in the keratinized gingiva, analyzing the effect of possible factors which modulate (socio-demographic and behavioral) intersubject variability; to study whether the gingiva color is the same in all three locations and to describe intrasubject color differences in the keratinized gingiva band. Using the CIELAB color system, three reference areas (free gingival margin, keratinized gingival body, and birth or upper part of the keratinized gingiva) were studied in 259 individuals, as well as the related socio-demographic factors, oral habits and the chronic intake of medication. Shadepilot™ spectrophotometer was used. Descriptive and inferential statistical analysis was performed. There are statistically significant differences between males and females for coordinates L* and a* in the middle and free gingival margin. For the b* coordinate, there are differences between males and females in the three locations studied (p < 0.05). The minimum and maximum coordinates in which the CIELAB natural gingival space is delimited are L* minima 28.3, L* maximum 65.4, a* minimum 11.1, a* maximum 37.2, b* minimum 6.9, and b* maximum 25.2*. Age, smoking, and the chronic intake of medication had no significant effect on gum color. There are perceptible color differences within the keratinized gingiva band. These chromatic differences must be taken into account if the prosthetic characterization of gingival tissue is to be considered acceptable. There are significant differences between the color coordinates of the three sites studied in the keratinized gingiva of men and women.

[Pain assessment of tracheal suctioning on brain injury patients by pain behavioral indicator scale (ESCID)].

PubMed

López-López, C; Murillo-Pérez, M A; Morales-Sánchez, C; Torrente-Vela, S; Orejana-Martín, M; García-Iglesias, M; Cuenca-Solanas, M; Alted-López, E

2014-01-01

To assess pain response on patients with moderate to severe head injury before a common nursing procedure: tracheal suctioning. An observational longitudinal pilot study with consecutive sampling performed from September to December of 2012. Pain was assessed by a pain behavioral indicator scale 5 minutes before, meanwhile and 15 minutes after tracheal suctioning the days 1, 3 and 6 of their intensive care unit (ICU) stay, as well as a non-painful procedure: rubbing with gauze the forearm of the patient. Pseudo-analgesia and hemodynamic variables were also recorded. Descriptive analysis of the variables, inferential statistics with t-student and Anova with SPSS 17.0; statistical tests were considered significant if the critical level observed was less than 5% (P<.05). Pain was assessed on 27 patients. 82% suffered from severe head trauma and 18% moderate. The average pain value during nursing procedure day 1 was 3, 18±2.6, day 3: 2, 59±2 and day 6: 3, 94±2.3. There was a significant increase in mean pain while performing suctioning during the three days of assessment (P<.05); however no significant differences between the average pain value on the three days of the assessment (P>.05) were shown. Data for the painless procedure were significantly different on day 6 (P<.05) CONCLUSION: During tracheal suctioning in patients with head injury in the first 6 days in the ICU, objective mild-moderate pain according to ESCID scale has been detected. Copyright © 2013 Elsevier España, S.L.U. y SEEIUC. All rights reserved.

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.

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.

Multivariate meta-analysis of prognostic factor studies with multiple cut-points and/or methods of measurement.

PubMed

Riley, Richard D; Elia, Eleni G; Malin, Gemma; Hemming, Karla; Price, Malcolm P

2015-07-30

A prognostic factor is any measure that is associated with the risk of future health outcomes in those with existing disease. Often, the prognostic ability of a factor is evaluated in multiple studies. However, meta-analysis is difficult because primary studies often use different methods of measurement and/or different cut-points to dichotomise continuous factors into 'high' and 'low' groups; selective reporting is also common. We illustrate how multivariate random effects meta-analysis models can accommodate multiple prognostic effect estimates from the same study, relating to multiple cut-points and/or methods of measurement. The models account for within-study and between-study correlations, which utilises more information and reduces the impact of unreported cut-points and/or measurement methods in some studies. The applicability of the approach is improved with individual participant data and by assuming a functional relationship between prognostic effect and cut-point to reduce the number of unknown parameters. The models provide important inferential results for each cut-point and method of measurement, including the summary prognostic effect, the between-study variance and a 95% prediction interval for the prognostic effect in new populations. Two applications are presented. The first reveals that, in a multivariate meta-analysis using published results, the Apgar score is prognostic of neonatal mortality but effect sizes are smaller at most cut-points than previously thought. In the second, a multivariate meta-analysis of two methods of measurement provides weak evidence that microvessel density is prognostic of mortality in lung cancer, even when individual participant data are available so that a continuous prognostic trend is examined (rather than cut-points). © 2015 The Authors. Statistics in Medicine Published by John Wiley & Sons Ltd.

Actions on social determinants and interventions in primary health to improve mother and child health and health equity in Morocco.

PubMed

Boutayeb, Wiam; Lamlili, Mohamed; Maamri, Abdellatif; Ben El Mostafa, Souad; Boutayeb, Abdesslam

2016-02-02

Over the last two decades, Moroccan authorities launched a number of actions and strategies to enhance access to health services and improve health outcomes for the whole population in general and for mother and child in particular. The Ministry of Health launched the action plans 2008-2012 and 2012-2016 and created the maternal mortality surveillance system. The Moroccan government opted for national health coverage through a mandatory health insurance and a scheme of health assistance to the poorest households. Other initiatives were devoted indirectly to health by acting on social determinants of health and poverty reduction. In this paper, we present results of an evaluation of interventions and programmes and their impact on health inequity in Morocco. We used data provided by national surveys over the last decades, information released on the website of the Ministry of Health, documentation published by the Moroccan government and international reports and studies related to Morocco and published by international bodies like the World Health Organisation, United Nations Development Programme, United Nations Population Fund, UNICEF, UNESCO and the World Bank. A short review of scientific publications was also carried out in order to select papers published on health equity, social determinants, health system and interventions in primary health in Morocco. Inferential and descriptive statistics (including principal component analysis) were carried out using software SPSS version 18. The findings indicate that substantial achievements were obtained in terms of access to health care and health outcomes for the whole Moroccan population in general and for mothers and children in particular. However, achievements are unfairly distributed between advantaged and less advantaged regions, literate and illiterate women, rural and urban areas, and rich and poor segments of the Moroccan population. Studies have shown that it is difficult to trace the effect of a primary health intervention on the access to health care due to synergetic and overlapping effect of interventions and initiatives aiming to improve the wellbeing of the Moroccan population. Descriptive and inferential statistics were used to illustrate the correlation existing between different variables measuring access to health and health outcomes on one side and variables like income, education, employment and health staff on the other side. In Morocco, average access to health care and services as well as health outcomes have improved during the last decades. However, socio-economic inequalities and health inequity are persistent. The present study indicates that urgent and efficient actions on social determinants of health are needed in order to sustain average achievements and improve health equity for the whole Moroccan population.

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.

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.

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.

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

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.

Impact Factors and Attitudes Toward Organ Donation Among Transplantation Patients and Their Caregivers in China.

PubMed

Zhang, Q-X; Xie, J-F; Zhou, J-D; Xiao, S-S; Liu, A-Z; Hu, G-Q; Chen, Y; Wang, C-Y

2017-11-01

This study's purpose was to investigate the attitudes toward organ donation among renal transplantation patients and their caregivers. In addition, we sought to explore the impact factors that affect their attitudes toward deceased organ donation. A self-administrated questionnaire was used, which consisted of two parts: 1) demographic data, and 2) transplantation and donation-related data. This study was conducted in three transplantation follow-up centers in three hospitals using a cross-sectional approach. SPSS 17.0 software was used to analysis descriptive and inferential statistics for data. The responses were analyzed using descriptive statistics and logistic regression analysis. We received 426 effective questionnaires. The renal transplantation patients' mean age was 40.84 years. Among these patients, 67.8% were willing to accept the organ transplantation surgery for their relatives, 67.4% were willing to donate a living kidney to a close relative, 62.7% were willing to donate organs after death, 53.5% were willing to register in the national organ donation system, and 51.4% were willing to sign the organ donation consent when facing their relatives becoming a potential organ donor. Age, marriage status, education level, understanding of transplantation procedures and understanding of donation procedures had statistical significance in the difference of the attitudes toward donate their organs after death (P < .05). Renal transplantation patients in our study are more willing to donate organs after death than their caregivers, but both their attitudes toward deceased donation were not very optimistic. There is a significant relationship between participants' willingness and knowledge of organ donation; patients with more understanding of the transplantation and donation procedure were more willing to donate organs after death. Affected by traditional values such as Confucianism, many people still cannot accept registering in the national organ donation system or sign the organ donation consent when facing their relatives becoming potential organ donors. There is a need to give adequate training regarding donation to increase donation rates. The government must provide education from the perspective of scientific knowledge to change the traditional views of the public, which may then increase the donation rate in China. Copyright © 2017 Elsevier Inc. All rights reserved.

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.

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.

Using Digital Images of the Zebra Finch Song System as a Tool to Teach Organizational Effects of Steroid Hormones: A Free Downloadable Module

PubMed Central

Grisham, William; Schottler, Natalie A.; McCauley, Lisa M. Beck; Pham, Anh P.; Ruiz, Maureen L.; Fong, Michelle C.; Cui, Xinran

2011-01-01

Zebra finch song behavior is sexually dimorphic: males sing and females do not. The neural system underlying this behavior is sexually dimorphic, and this sex difference is easy to quantify. During development, the zebra finch song system can be altered by steroid hormones, specifically estradiol, which actually masculinizes it. Because of the ease of quantification and experimental manipulation, the zebra finch song system has great potential for use in undergraduate labs. Unfortunately, the underlying costs prohibit use of this system in undergraduate labs. Further, the time required to perform a developmental study renders such undertakings unrealistic within a single academic term. We have overcome these barriers by creating digital tools, including an image library of song nuclei from zebra finch brains. Students using this library replicate and extend a published experiment examining the dose of estradiol required to masculinize the female zebra finch brain. We have used this library for several terms, and students not only obtain significant experimental results but also make gains in understanding content, experimental controls, and inferential statistics (analysis of variance and post hoc tests). We have provided free access to these digital tools at the following website: http://mdcune.psych.ucla.edu/modules/birdsong. PMID:21633071

[Prevalence of the attempts to stop pregnancy and associated factors in a marginal suburban community in Lima-Peru, 2006].

PubMed

Tarqui-Mamani, Carolina; Barreda, Alejandro; Barreda, Milagros; Sanabria-Rojas, Hernán

2010-03-01

To estimate the prevalence for the attempts to stop pregnancy among women with history of previous pregnancies, and to determine the factors associated. A cross-sectional study was performed during 2006. Samples included 1057 women with background of pregnancy, living in Pamplona Alta, selected by a systematic random sampling. We applied descriptive and inferential statistics, including a logistic regression model. The prevalence for the attempt to stop pregnancy was 13.9% (99% CI: 11.1-16.7). The factors associated identified by multivariate analysis were: Unwanted pregnancy (OR=5.7; CI: 1.9-16.7), lack of pre-natal care (OR=4.7; CI: 1.8-12.2), prostitution (OR=11.4; CI: 1.5-87.9), age below 20 years (OR=2.9; CI: 1.1-7.9), and having more than two partners (OR=3.3; CI: 1.1-10.2). The estimated prevalence for the attempt to stop pregnancy among women with history of previous pregnancies in a marginal suburban area from Lima was low when compared to the national estimated prevalence of abortion. The associated factors identified for the attempts to stop pregnancy are: unwanted pregnancy, prostitution, age below 20 years, having more than two partners and lack of pre-natal care.

Satisfaction with work-life balance among U.S. gynecologic oncologists, a cross-sectional study.

PubMed

Szender, J Brian; Grzankowski, Kassondra S; Eng, Kevin H; Lele, Shashikant B; Odunsi, Kunle; Frederick, Peter J

To evaluate the satisfaction with work-life balance (WLB) and career satisfaction of gynecologic oncologists. In August 2014, members of the Society of Gynecologic Oncology (SGO) were sent an anonymous, cross-sectional survey evaluating demographic variables, practice characteristics, career satisfaction, fatigue, and satisfaction with WLB. Fatigue was assessed using a visual-analog scale. Career satisfaction and WLB were assessed with a Likert scale. Inferential statistics were computed with type I error rates of 0.05. Out of the 1002 gynecologic oncologists surveyed, 290 (28.9%) responded. Only 18.6% of respondents were satisfied with WLB and there were significant associations between gender (P = 0.0157), time spent in work related activities at home (P = 0.0024), on weekends (P = 0.0017), and in the hospital (P = 0.0001). More than 84% of physicians reported they would choose medicine as a career again and of those 90% would choose to be a gynecologic oncologist again. Fatigue was strongly associated with dissatisfaction with WLB in univariate and multivariate analysis (P < 0.0001). Although gynecologic oncologists indicated they are satisfied with their careers, most are not satisfied with their WLB. Given the forecast shortage of gynecologic oncologists and projected increased cancer rates, understanding the factors associated with career satisfaction may assist the SGO in meeting future gynecologic cancer care needs.

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.

Prevalence, predictors and triggers of migraine headache among medical students and interns in King Abdulaziz University, Jeddah, Saudi Arabia.

PubMed

Ibrahim, Nahla Khamis; Alotaibi, Afnan Khalid; Alhazmi, Abrar Mansour; Alshehri, Rawan Zaher; Saimaldaher, Rawan Nabeel; Murad, Maradi Abdulkader

2017-01-01

To determine the prevalence, predictors, triggers and educational outcome of migraine among medical students and interns in King Abdulaziz University, Jeddah, Saudi Arabia. A cross-sectional study was completed among 566 participants selected through a multistage stratified random sample method. A validated, confidential, self-administered data collection sheet was utilized. It contained ID Migraine test™, Numeric Pain Rating Scale (NPRS). Questions about possible predictors, triggers and impact of migraine were asked. Descriptive, inferential statistics and multiple logistic regression analysis were conducted. More than one-half (54.9%) of the participants had ≥ 2 headache attacks during the three months preceded the study. The prevalence of migraine was 26.3%, and 41.6% of the cases suffered from severe pain. The main migraine predictors were Functional Gastrointestinal Disorders (FGIDs), family history of migraine, female gender, and enrollment in the second academic year. Exam stress and sleep disturbances were the commonest triggers. The majority of the participants reported that their educational performance and ability to attend sessions were affected during migraine attacks. A relatively high prevalence of migraine was seen among our participants. FGIDs, gender and academic year were the predictors. Screening and management of migraine among medical students are required. Conduction of relaxation programs and stress management courses are also recommended.

Correlation between the Voice Handicap and Swallowing Quality of Life in patients with laryngeal cancer submitted to chemoradiotherapy.

PubMed

Rosa, Maria Eduarda da; Mituuti, Cláudia Tiemi; Ghirardi, Ana Carolina de Assis Moura

2018-01-01

Purpose To verify the correlation between the voice handicap and swallowing quality of life in individuals submitted to chemoradiotherapy for laryngeal cancer treatment. Methods Cross-sectional, observational and quantitative study. Fourteen male individuals diagnosed with laryngeal cancer were submitted to exclusive chemoradiotherapy treatment. The individuals completed the Voice Handicap Index (VHI) and the Swallowing Quality of Life (SWAL-QOL) questionnaires. Data were submitted to descriptive and inferential analysis using Spearman's Correlation Test to verify possible correlations among the scores of these instruments. Values of p ≤ 0.05 were considered statistically significant. Results No significant correlation was found between the total VHI and overall SWAL-QOL scores. However, there was significant correlation between the domain Functional of the VHI and the domains Fatigue and Social of the SWAL-QOL, between the domain Organic in the VHI and the SWAL-QOL domain Social, and total VHI score and SWAL-QOL domain Swallowing as a burden. Furthermore, chemoradiotherapy treatment had a greater impact on the voice than on the swallowing for the studied individuals. Conclusion The data showed a significant correlation between voice handicap and the impact of quality of life involving swallowing in individuals with laryngeal cancer submitted to chemoradiotherapy. This may affect individuals' emotional and social aspects, impacting their overall quality of life.

Does Augmented Reality Affect High School Students' Learning Outcomes in Chemistry?

NASA Astrophysics Data System (ADS)

Renner, Jonathan Christopher

Some teens may prefer using a self-directed, constructivist, and technologic approach to learning rather than traditional classroom instruction. If it can be demonstrated, educators may adjust their teaching methodology. The guiding research question for this study focused on how augmented reality affects high school students' learning outcomes in chemistry, as measured by a pretest and posttest methodology when ensuring that the individual outcomes were not the result of group collaboration. This study employed a quantitative, quasi-experimental study design that used a comparison and experimental group. Inferential statistical analysis was employed. The study was conducted at a high school in southwest Colorado. Eighty-nine respondents returned completed and signed consent forms, and 78 participants completed the study. Results demonstrated that augmented reality instruction caused posttest scores to significantly increase, as compared to pretest scores, but it was not as effective as traditional classroom instruction. Scores did improve under both types of instruction; therefore, more research is needed in this area. The present study was the first quantitative experiment controlling for individual learning to validate augmented reality using mobile handheld digital devices that affected individual students' learning outcomes without group collaboration. This topic was important to the field of education as it may help educators understand how students learn and it may also change the way students are taught.

'I saw Santa drinking soda!' Advertising and children's food preferences.

PubMed

Lioutas, E D; Tzimitra-Kalogianni, I

2015-05-01

The influence of advertising on children's food preferences is well documented in the research literature. In this study we aim to examine the ways in which food advertising propels children's consumer behaviour and to investigate how food advertising affects the frequency of unhealthy food consumption. Data were drawn from a sample of elementary school children in the region of Thessaly (Greece). Three scales were used to measure children's lifestyle patterns, food consumption frequencies, and their response to advertising. Univariate and inferential statistics were used to answer the research questions. The analysis revealed that a significant proportion of children (47.4%) frequently consume unhealthy foods. Children who have little understanding of the persuasive intent of advertising rate advertised foods as healthier and more nutritious. The frequency of unhealthy food consumption is influenced by the entertaining dimension of advertising and the level of the motivational arousal after children's exposure to food advertisements. Food advertising impels children's consumer behaviour through four different modes. First, advertising engenders expectations, which raise purchase motivation. Second, the purchase of advertised foods is accompanied by positive feelings (happiness, satisfaction). Third, the entertaining dimension of advertising generates pleasant mood, which positively predisposes the evaluation of advertised foods. Fourth, children do not always possess the ability to recognize the persuasive nature of advertising. © 2014 John Wiley & Sons Ltd.

Identifying the Factors Affecting Papers’ Citability in the Field of Medicine: an Evidence-based Approach Using 200 Highly and Lowly-cited Papers

PubMed Central

Yaminfirooz, Mousa; Ardali, Farzaneh Raeesi

2018-01-01

Introduction: Nowadays, publishing highly-cited papers is important for researchers and editors. In this evidence-based study, the factors influencing the citability of published papers in the field of medicine have been identified. Material and Methods: 200 papers indexed in Scopus (in two groups: highly-cited and lowly-cited) with 100 papers in each were studied. Needed data were manually collected with a researcher-made checklist. Data analysis was done in SPSS using descriptive and inferential statistics. Results: Variables such as journal IF, journal rank, journal subject quartile, the first/corresponding author’s h-index, the number of documents produced by the first/corresponding author, SJR and SNIP had significantly positive correlation with paper citability (p< .05). Other variables, including among others, paper age, paper type, the number of references, the number of authors, indexing institute and journal kind had not any relationship with paper citability (p> .05). Conclusion: the factors affecting the citability are among indicators relating to authors, publishing journals and published papers. Determining the extent to which these factors influence the citability of a paper needs further large-scaled research. Authors and editors searching for high-citedness should consider these factors when authoring and publishing papers. PMID:29719306

Nonparametric methods for analyzing recurrent gap time data with application to infections after hematopoietic cell transplant.

PubMed

Lee, Chi Hyun; Luo, Xianghua; Huang, Chiung-Yu; DeFor, Todd E; Brunstein, Claudio G; Weisdorf, Daniel J

2016-06-01

Infection is one of the most common complications after hematopoietic cell transplantation. Many patients experience infectious complications repeatedly after transplant. Existing statistical methods for recurrent gap time data typically assume that patients are enrolled due to the occurrence of an event of interest, and subsequently experience recurrent events of the same type; moreover, for one-sample estimation, the gap times between consecutive events are usually assumed to be identically distributed. Applying these methods to analyze the post-transplant infection data will inevitably lead to incorrect inferential results because the time from transplant to the first infection has a different biological meaning than the gap times between consecutive recurrent infections. Some unbiased yet inefficient methods include univariate survival analysis methods based on data from the first infection or bivariate serial event data methods based on the first and second infections. In this article, we propose a nonparametric estimator of the joint distribution of time from transplant to the first infection and the gap times between consecutive infections. The proposed estimator takes into account the potentially different distributions of the two types of gap times and better uses the recurrent infection data. Asymptotic properties of the proposed estimators are established. © 2015, The International Biometric Society.

Nonparametric methods for analyzing recurrent gap time data with application to infections after hematopoietic cell transplant

PubMed Central

Lee, Chi Hyun; Huang, Chiung-Yu; DeFor, Todd E.; Brunstein, Claudio G.; Weisdorf, Daniel J.

2015-01-01

Summary Infection is one of the most common complications after hematopoietic cell transplantation. Many patients experience infectious complications repeatedly after transplant. Existing statistical methods for recurrent gap time data typically assume that patients are enrolled due to the occurrence of an event of interest, and subsequently experience recurrent events of the same type; moreover, for one-sample estimation, the gap times between consecutive events are usually assumed to be identically distributed. Applying these methods to analyze the post-transplant infection data will inevitably lead to incorrect inferential results because the time from transplant to the first infection has a different biological meaning than the gap times between consecutive recurrent infections. Some unbiased yet inefficient methods include univariate survival analysis methods based on data from the first infection or bivariate serial event data methods based on the first and second infections. In this paper, we propose a nonparametric estimator of the joint distribution of time from transplant to the first infection and the gap times between consecutive infections. The proposed estimator takes into account the potentially different distributions of the two types of gap times and better uses the recurrent infection data. Asymptotic properties of the proposed estimators are established. PMID:26575402

The effect of a knowledge-based ergonomic intervention amongst administrators at Aga Khan University Hospital, Nairobi.

PubMed

Wanyonyi, Nancy; Frantz, Jose; Saidi, Hassan

2015-01-01

Low back pain (LBP) and neck pain are part of the common work-related musculoskeletal disorders with a large impact on the affected person. Despite having a multifactorial aetiology, ergonomic factors play a major role thus necessitating workers' education. To determine the prevalence of ergonomic-related LBP and neck pain, and describe the effect of a knowledge-based ergonomic intervention amongst administrators in Aga Khan University Hospital, Nairobi. This study applied a mixed method design utilizing a survey and two focus group discussions (FGD). A self-administered questionnaire was distributed to 208 participants through systematic sampling. A one hour knowledge-based ergonomic session founded on the survey results was thereafter administered to interested participants, followed by two FGDs a month later with purposive selection of eight participants to explore their experience of the ergonomic intervention. Quantitative data was captured and analyzed using SPSS by means of descriptive and inferential statistics, whereas thematic content analysis was used for qualitative data. Most participants were knowledgeable about ergonomic-related LBP and neck pain with a twelve month prevalence of 75.5% and 67.8% respectively. Continual ergonomic education is necessary for adherence to health-related behaviours that will preventwork-related LBP and neck pain.

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.

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.

[Nitrogen and protein content analysis of human milk, diurnality vs nocturnality].

PubMed

Sánchez López, C L; Hernández, A; Rodríguez, A B; Rivero, M; Barriga, C; Cubero, J

2011-01-01

Breast milk is changing with the progression of lactation and during a 24-h period. To determine the effect of diurnality or nocturnality on total nitrogen and protein content of the breast milk. We collected human milk samples from health mothers living throughout Community of Extremadura (Spain) from January 2008 to December 2008 with less than two months of lactation. We divided the samples in three groups: calostral group (1-5 days postpartum), transitional group (6-15 days postpartum) and mature group (> 15 days postpartum). All samples were stored in a freezer at -80 ºC. We considered as day period between 08:00-20:00 h and night period 20:00-08:00 h. Analysis of the human milk samples was based on the Kjeldahl method. Protein contents were calculated from total nitrogen x 6,25. The statistical analysis of the data was descriptive (mean ± standard deviation) and inferential (T-Student test). No differences (P > 0,05) were found to exist among the contents of individual human milk samples. The mean contents of each component were as follows: Total nitrogen of calostral, transitional and mature group was 0,30 ± 0,06 g/dL (night period), 0,29 ± 0,05 g/dL (day period); 0,26 ± 0,04 g/dL (night period), 0,25 ± 0,04 g/dL (day period); 0,22 ± 0,05 g/dL (night period), 0,20 ± 0,04 g/dL (day period) respectively, in this mature group with a statistical variation (P < 0,05). Protein content of calostral, transitional and mature group was 1,88 ± 0,4 g/dL (night period), 1,81 ± 0,3 g/dL (day period); 1,62 ± 0,3 g/dL (night period), 1,59 ± 0,3 g/dL (day period); 1,35 ± 0,3 g/dL (night period), 1,26 ± 0,3 g/dL (day period) respectively, in this mature group with a statistical variation (P < 0,05). Although we observed differences in the nitrogen and protein content during the individual stages of lactation, it is just in the population of mature lactating women, where the components analyzed varied significantly between day and night.

Big data in sleep medicine: prospects and pitfalls in phenotyping

PubMed Central

Bianchi, Matt T; Russo, Kathryn; Gabbidon, Harriett; Smith, Tiaundra; Goparaju, Balaji; Westover, M Brandon

2017-01-01

Clinical polysomnography (PSG) databases are a rich resource in the era of “big data” analytics. We explore the uses and potential pitfalls of clinical data mining of PSG using statistical principles and analysis of clinical data from our sleep center. We performed retrospective analysis of self-reported and objective PSG data from adults who underwent overnight PSG (diagnostic tests, n=1835). Self-reported symptoms overlapped markedly between the two most common categories, insomnia and sleep apnea, with the majority reporting symptoms of both disorders. Standard clinical metrics routinely reported on objective data were analyzed for basic properties (missing values, distributions), pairwise correlations, and descriptive phenotyping. Of 41 continuous variables, including clinical and PSG derived, none passed testing for normality. Objective findings of sleep apnea and periodic limb movements were common, with 51% having an apnea–hypopnea index (AHI) >5 per hour and 25% having a leg movement index >15 per hour. Different visualization methods are shown for common variables to explore population distributions. Phenotyping methods based on clinical databases are discussed for sleep architecture, sleep apnea, and insomnia. Inferential pitfalls are discussed using the current dataset and case examples from the literature. The increasing availability of clinical databases for large-scale analytics holds important promise in sleep medicine, especially as it becomes increasingly important to demonstrate the utility of clinical testing methods in management of sleep disorders. Awareness of the strengths, as well as caution regarding the limitations, will maximize the productive use of big data analytics in sleep medicine. PMID:28243157

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.

Factors associated with quality of life in patients undergoing coronary angioplasty

PubMed Central

Darvishpour, Azar; Javadi-Pashaki, Nazila; Salari, Arsalan; Sadeghi, Tahere; Taleshan-Nejad, Marayam

2017-01-01

Objective: Percutaneous coronary intervention has been effective in increasing longevity of patients with cardiovascular disease. However, the evidence shows that the quality of life after the intervention is still lower than optimal level. The quality of life can be affected by various factors. The aim of this study is to determine the quality of life and its related factors in patients undergoing coronary angioplasty. Methods: This cross-sectional study was performed on 106 patients undergoing coronary angioplasty during 2015-2016. This study population included all patients who referred to a cardiac clinic in Rasht, Iran, were passed 3 months after their angioplasty. Research samples met the inclusion criteria and were willing to participate to the study, were selected gradually (continually). Research tools were a self-structured questionnaire regarding factors associated with the quality of life and the MacNew quality of life questionnaire. Data were collected through asking patients questions and using patient’s medical records. Data analysis was conducted using descriptive and inferential statistics. Results: The results of multivariate linear regression analysis showed that independent variables of age (P = 0.0001), the number of diseased vessels (P = 0.0001), and the number of comorbidities (P < 0.05) were the most important factors associated with the quality of life. Conclusion: Health-care professionals can play an effective role in promoting the quality of life of patients undergoing coronary angioplasty by modifying lifestyle based on the related factors and to provide comprehensive care programs, especially for elderly. PMID:29085266