Analysis of Utility and Use of a Web-Based Tool for Digital Signal Processing Teaching by Means of a Technological Acceptance Model

ERIC Educational Resources Information Center

Toral, S. L.; Barrero, F.; Martinez-Torres, M. R.

2007-01-01

This paper presents an exploratory study about the development of a structural and measurement model for the technological acceptance (TAM) of a web-based educational tool. The aim consists of measuring not only the use of this tool, but also the external variables with a significant influence in its use for planning future improvements. The tool,…

Development of a self-assessment teamwork tool for use by medical and nursing students.

PubMed

Gordon, Christopher J; Jorm, Christine; Shulruf, Boaz; Weller, Jennifer; Currie, Jane; Lim, Renee; Osomanski, Adam

2016-08-24

Teamwork training is an essential component of health professional student education. A valid and reliable teamwork self-assessment tool could assist students to identify desirable teamwork behaviours with the potential to promote learning about effective teamwork. The aim of this study was to develop and evaluate a self-assessment teamwork tool for health professional students for use in the context of emergency response to a mass casualty. The authors modified a previously published teamwork instrument designed for experienced critical care teams for use with medical and nursing students involved in mass casualty simulations. The 17-item questionnaire was administered to students immediately following the simulations. These scores were used to explore the psychometric properties of the tool, using Exploratory and Confirmatory Factor Analysis. 202 (128 medical and 74 nursing) students completed the self-assessment teamwork tool for students. Exploratory factor analysis revealed 2 factors (5 items - Teamwork coordination and communication; 4 items - Information sharing and support) and these were justified with confirmatory factor analysis. Internal consistency was 0.823 for Teamwork coordination and communication, and 0.812 for Information sharing and support. These data provide evidence to support the validity and reliability of the self-assessment teamwork tool for students This self-assessment tool could be of value to health professional students following team training activities to help them identify the attributes of effective teamwork.

Non-negative Tensor Factorization for Robust Exploratory Big-Data Analytics

DOE Office of Scientific and Technical Information (OSTI.GOV)

Alexandrov, Boian; Vesselinov, Velimir Valentinov; Djidjev, Hristo Nikolov

Currently, large multidimensional datasets are being accumulated in almost every field. Data are: (1) collected by distributed sensor networks in real-time all over the globe, (2) produced by large-scale experimental measurements or engineering activities, (3) generated by high-performance simulations, and (4) gathered by electronic communications and socialnetwork activities, etc. Simultaneous analysis of these ultra-large heterogeneous multidimensional datasets is often critical for scientific discoveries, decision-making, emergency response, and national and global security. The importance of such analyses mandates the development of the next-generation of robust machine learning (ML) methods and tools for bigdata exploratory analysis.

Selection into Medicine Using Interviews and Other Measures: Much Remains to Be Learned

ERIC Educational Resources Information Center

Ma, Colleen; Harris, Peter; Cole, Andrew; Jones, Phil; Shulruf, Boaz

2016-01-01

The objectives of this study were to identify the effectiveness of the panel admission interview as a selection tool for the medical program and identify improvements in the selection tools battery. Data from 1024 students, representing four cohorts of students were used in this study. Exploratory factor analysis using principal component analysis…

Teacher Reporting Attitudes Scale (TRAS): confirmatory and exploratory factor analyses with a Malaysian sample.

PubMed

Choo, Wan Yuen; Walsh, Kerryann; Chinna, Karuthan; Tey, Nai Peng

2013-01-01

The Teacher Reporting Attitude Scale (TRAS) is a newly developed tool to assess teachers' attitudes toward reporting child abuse and neglect. This article reports on an investigation of the factor structure and psychometric properties of the short form Malay version of the TRAS. A self-report cross-sectional survey was conducted with 667 teachers in 14 randomly selected schools in Selangor state, Malaysia. Analyses were conducted in a 3-stage process using both confirmatory (stages 1 and 3) and exploratory factor analyses (stage 2) to test, modify, and confirm the underlying factor structure of the TRAS in a non-Western teacher sample. Confirmatory factor analysis did not support a 3-factor model previously reported in the original TRAS study. Exploratory factor analysis revealed an 8-item, 4-factor structure. Further confirmatory factor analysis demonstrated appropriateness of the 4-factor structure. Reliability estimates for the four factors-commitment, value, concern, and confidence-were moderate. The modified short form TRAS (Malay version) has potential to be used as a simple tool for relatively quick assessment of teachers' attitudes toward reporting child abuse and neglect. Cross-cultural differences in attitudes toward reporting may exist and the transferability of newly developed instruments to other populations should be evaluated.

SOCR Motion Charts: An Efficient, Open-Source, Interactive and Dynamic Applet for Visualizing Longitudinal Multivariate Data

PubMed Central

Al-Aziz, Jameel; Christou, Nicolas; Dinov, Ivo D.

2011-01-01

The amount, complexity and provenance of data have dramatically increased in the past five years. Visualization of observed and simulated data is a critical component of any social, environmental, biomedical or scientific quest. Dynamic, exploratory and interactive visualization of multivariate data, without preprocessing by dimensionality reduction, remains a nearly insurmountable challenge. The Statistics Online Computational Resource (www.SOCR.ucla.edu) provides portable online aids for probability and statistics education, technology-based instruction and statistical computing. We have developed a new Java-based infrastructure, SOCR Motion Charts, for discovery-based exploratory analysis of multivariate data. This interactive data visualization tool enables the visualization of high-dimensional longitudinal data. SOCR Motion Charts allows mapping of ordinal, nominal and quantitative variables onto time, 2D axes, size, colors, glyphs and appearance characteristics, which facilitates the interactive display of multidimensional data. We validated this new visualization paradigm using several publicly available multivariate datasets including Ice-Thickness, Housing Prices, Consumer Price Index, and California Ozone Data. SOCR Motion Charts is designed using object-oriented programming, implemented as a Java Web-applet and is available to the entire community on the web at www.socr.ucla.edu/SOCR_MotionCharts. It can be used as an instructional tool for rendering and interrogating high-dimensional data in the classroom, as well as a research tool for exploratory data analysis. PMID:21479108

Teaching Visual Texts with the Multimodal Analysis Software

ERIC Educational Resources Information Center

Lim Fei, Victor; O'Halloran, Kay L.; Tan, Sabine; E., Marissa K. L.

2015-01-01

This exploratory study introduces the systemic approach and the explicit teaching of a meta-language to provide conceptual tools for students for the analysis and interpretation of multimodal texts. Equipping students with a set of specialised vocabulary with conventionalised meanings associated with specific choices in multimodal texts empowers…

Proceedings of the First Landscape State-and-Transition Simulation Modeling Conference, June 14–16, 2011, Portland, Oregon

Treesearch

Becky K. Kerns; Ayn J. Shlisky; Colin J. Daniel

2012-01-01

The first ever Landscape State-and-Transition Simulation Modeling Conference was held from June 14–16, 2011, in Portland Oregon. The conference brought together over 70 users of state-and-transition simulation modeling tools—the Vegetation Dynamics Development Tool (VDDT), the Tool for Exploratory Landscape Analysis (TELSA) and the Path Landscape Model. The goal of the...

Development and evaluation of a patient-centred measurement tool for surgeons' non-technical skills.

PubMed

Yule, J; Hill, K; Yule, S

2018-06-01

Non-technical skills are essential for safe and effective surgery. Several tools to assess surgeons' non-technical skills from the clinician's perspective have been developed. However, a reliable measurement tool using a patient-centred approach does not currently exist. The aim of this study was to translate the existing Non-Technical Skills for Surgeons (NOTSS) tool into a patient-centred evaluation tool. Data were gathered from four cohorts of patients using an iterative four-stage mixed-methods research design. Exploratory and confirmatory factor analyses were performed to establish the psychometric properties of the tool, focusing on validity, reliability, usability and parsimony. Some 534 patients were recruited to the study. A total of 24 patient-centred non-technical skill items were developed in stage 1, and reduced to nine items in stage 2 using exploratory factor analysis. In stage 3, confirmatory factor analysis demonstrated that these nine items each loaded on to one of three factors, with excellent internal consistency: decision-making, leadership, and communication and teamwork. In stage 4, validity testing established that the new tool was independent of physician empathy and predictive of surgical quality. Surgical leadership emerged as the most dominant skill that patients could recognize and evaluate. A novel nine-item assessment tool has been developed. The Patients' Evaluation of Non-Technical Skills (PENTS) tool allows valid and reliable measurement of surgeons' non-technical skills from the patient perspective. © 2018 BJS Society Ltd Published by John Wiley & Sons Ltd.

Using the 5Ps Leadership Analysis to Examine the Battle of Antietam: An Explanation and Case Study

ERIC Educational Resources Information Center

Hull, Bradley Z.; Allen, Scott J.

2012-01-01

The authors describe an exploratory analytical tool called "The 5Ps Leadership Analysis" (Personal Attributes, Position, Purpose, Practices/Processes, and Product) as a heuristic for better understanding the complexities of leadership. Using "The 5Ps Leadership Analysis," the authors explore the leadership of General Robert E.…

[Factor Analysis: Principles to Evaluate Measurement Tools for Mental Health].

PubMed

Campo-Arias, Adalberto; Herazo, Edwin; Oviedo, Heidi Celina

2012-09-01

The validation of a measurement tool in mental health is a complex process that usually starts by estimating reliability, to later approach its validity. Factor analysis is a way to know the number of dimensions, domains or factors of a measuring tool, generally related to the construct validity of the scale. The analysis could be exploratory or confirmatory, and helps in the selection of the items with better performance. For an acceptable factor analysis, it is necessary to follow some steps and recommendations, conduct some statistical tests, and rely on a proper sample of participants. Copyright © 2012 Asociación Colombiana de Psiquiatría. Publicado por Elsevier España. All rights reserved.

EpiHosp: A web-based visualization tool enabling the exploratory analysis of complications of implantable medical devices from a nationwide hospital database.

PubMed

Ficheur, Grégoire; Ferreira Careira, Lionel; Beuscart, Régis; Chazard, Emmanuel

2015-01-01

Administrative data can be used for the surveillance of the outcomes of implantable medical devices (IMDs). The objective of this work is to build a web-based tool allowing for an exploratory analysis of time-dependent events that may occur after the implementation of an IMD. This tool should enable a pharmacoepidemiologist to explore on the fly the relationship between a given IMD and a potential outcome. This tool mine the French nationwide database of inpatient stays from 2008 to 2013. The data are preprocessed in order to optimize the queries. A web tool is developed in PHP, MySQL and Javascript. The user selects one or a group of IMD from a tree, and can filter the results using years and hospital names. Four result pages describe the selected inpatient stays: (1) temporal and demographic description, (2) a description of the geographical location of the hospital, (3) a description of the geographical place of residence of the patient and (4) a table showing the rehospitalization reasons by decreasing order of frequency. Then, the user can select one readmission reason and display dynamically the probability of readmission by mean of a Kaplan-Meier curve with confidence intervals. This tool enables to dynamically monitor the occurrence of time-dependent complications of IMD.

EnviroAtlas Cyanobacteria Assessment Network (CyAN) Dashboard: A Tool for Data Visualization and Exploratory Analysis

EPA Science Inventory

Economic, health, and environmental impacts of cyanobacteria and associated harmful algal blooms are increasingly recognized by policymakers, managers, and scientific researchers. However, spatially-distributed, long-term data on cyanobacteria blooms are largely unavailable. The ...

Exploratory Factor Analysis as a Construct Validation Tool: (Mis)applications in Applied Linguistics Research

ERIC Educational Resources Information Center

Karami, Hossein

2015-01-01

Factor analysis has been frequently exploited in applied research to provide evidence about the underlying factors in various measurement instruments. A close inspection of a large number of studies published in leading applied linguistic journals shows that there is a misconception among applied linguists as to the relative merits of exploratory…

Class Evolution Tree: A Graphical Tool to Support Decisions on the Number of Classes in Exploratory Categorical Latent Variable Modeling for Rehabilitation Research

ERIC Educational Resources Information Center

Kriston, Levente; Melchior, Hanne; Hergert, Anika; Bergelt, Corinna; Watzke, Birgit; Schulz, Holger; von Wolff, Alessa

2011-01-01

The aim of our study was to develop a graphical tool that can be used in addition to standard statistical criteria to support decisions on the number of classes in explorative categorical latent variable modeling for rehabilitation research. Data from two rehabilitation research projects were used. In the first study, a latent profile analysis was…

[Design and validation of a questionnaire on attitudes to prevention and health promotion in primary care (CAPPAP)].

PubMed

Ramos-Morcillo, Antonio Jesús; Martínez-López, Emilio J; Fernández-Salazar, Serafín; del-Pino-Casado, Rafael

2013-12-01

To develop and validate a questionnaire to measure attitudes towards prevention and health promotion. Cross-sectional study for the validation of a questionnaire. Primary Health Care (autonomous community of Andalusia, Spain). 282 professionals (nurses and doctors) belonging to the Public Health System. Content validation by experts, ceiling effects and floor effects, correlation between items, internal consistency, stability and exploratory factor analysis. The 56 items of the tool (CAPPAP) obtained, including those from the review of other tools and the contributions of the experts, were grouped into 5 dimensions. The percentage of expert agreement was over 70% on all items, and a high concordance between prevention and promotion item was obtained, thus, duplicates were removed leaving a final tool with 44 items. The internal consistency, measured by Cronbach's alpha, was 0.888. The test retest indicated concordance from substantial to almost perfect. Exploratory factor analysis identified five factors that accounted for 48.92% of the variance. CAPPAP is a tool that is quick and easy to administer, that is well accepted by professionals, and that has acceptable psychometric results, both globally and at the level of each dimension. Copyright © 2012 Elsevier España, S.L. All rights reserved.

Citizenship and recovery: two intertwined concepts for civic-recovery.

PubMed

Pelletier, Jean-François; Corbière, Marc; Lecomte, Tania; Briand, Catherine; Corrigan, Patrick; Davidson, Larry; Rowe, Michael

2015-03-04

Validation of the psychometric properties of a new measure of citizenship was required for a research project in the province of Quebec, Canada. This study was meant to study the interplay between recovery- and citizenship-oriented supportive employment. As recovery and citizenship were expected to be two related concepts, convergent validity between the Citizenship Measure (CM) and the Recovery Assessment Scale (RAS) was tested. Study objectives were to: 1) conduct exploratory factor analyses on the CM and confirmatory factor analysis on the RAS tools (construct validity), 2) calculate Cronbach's alphas for each dimension emerging from objective 1 (reliability), and 3) calculate correlations between all dimensions from both tools (convergent validity). Data were collected from 174 individuals with serious mental illness, working in social firms. Serious mental illnesses include major depression, schizophrenia, bipolar disorder, obsessive compulsive disorder, panic disorder, post traumatic stress disorder and borderline personality disorder. Five factors emerged from the exploratory factor analysis of the CM, with good reliability. Confirmatory factor analyses showed that the short and the long versions of the RAS present satisfactory results. Finally, the correlation matrix indicated that all dimensions from both tools are significantly correlated, thus confirming their convergent validity. This study confirms the validity and reliability of two tools, CM and RAS. These tools can be used in combination to assess citizenship and recovery, both of which may be combined in the new concept of civic-recovery.

Genotype evaluation of cowpea seeds (Vigna unguiculata) using 1H qNMR combined with exploratory tools and solid-state NMR.

PubMed

Alves Filho, Elenilson G; Silva, Lorena M A; Teofilo, Elizita M; Larsen, Flemming H; de Brito, Edy S

2017-01-01

The ultimate aim of this study was to apply a non-targeted chemometric analysis (principal component analysis and hierarchical clustering analysis using the heat map approach) of NMR data to investigate the variability of organic compounds in nine genotype cowpea seeds, without any complex pre-treatment. In general, both exploratory tools show that Tvu 233, CE-584, and Setentão genotypes presented higher amount mainly of raffinose and Tvu 382 presented the highest content of choline and least content of raffinose. The evaluation of the aromatic region showed the Setentão genotype with highest content of niacin/vitamin B3 whereas Tvu 382 with lowest amount. To investigate rigid and mobile components in the seeds cotyledon, 13 C CP and SP/MAS solid-state NMR experiments were performed. The cotyledon of the cowpea comprised a rigid part consisting of starch as well as a soft portion made of starch, fatty acids, and protein. The variable contact time experiment suggests the presence of lipid-amylose complexes. Copyright © 2016 Elsevier Ltd. All rights reserved.

PAQ: Partition Analysis of Quasispecies.

PubMed

Baccam, P; Thompson, R J; Fedrigo, O; Carpenter, S; Cornette, J L

2001-01-01

The complexities of genetic data may not be accurately described by any single analytical tool. Phylogenetic analysis is often used to study the genetic relationship among different sequences. Evolutionary models and assumptions are invoked to reconstruct trees that describe the phylogenetic relationship among sequences. Genetic databases are rapidly accumulating large amounts of sequences. Newly acquired sequences, which have not yet been characterized, may require preliminary genetic exploration in order to build models describing the evolutionary relationship among sequences. There are clustering techniques that rely less on models of evolution, and thus may provide nice exploratory tools for identifying genetic similarities. Some of the more commonly used clustering methods perform better when data can be grouped into mutually exclusive groups. Genetic data from viral quasispecies, which consist of closely related variants that differ by small changes, however, may best be partitioned by overlapping groups. We have developed an intuitive exploratory program, Partition Analysis of Quasispecies (PAQ), which utilizes a non-hierarchical technique to partition sequences that are genetically similar. PAQ was used to analyze a data set of human immunodeficiency virus type 1 (HIV-1) envelope sequences isolated from different regions of the brain and another data set consisting of the equine infectious anemia virus (EIAV) regulatory gene rev. Analysis of the HIV-1 data set by PAQ was consistent with phylogenetic analysis of the same data, and the EIAV rev variants were partitioned into two overlapping groups. PAQ provides an additional tool which can be used to glean information from genetic data and can be used in conjunction with other tools to study genetic similarities and genetic evolution of viral quasispecies.

Collaborative peer review process as an informal interprofessional learning tool: Findings from an exploratory study.

PubMed

Kwon, Jae Yung; Bulk, Laura Yvonne; Giannone, Zarina; Liva, Sarah; Chakraborty, Bubli; Brown, Helen

2018-01-01

Despite numerous studies on formal interprofessional education programes, less attention has been focused on informal interprofessional learning opportunities. To provide such an opportunity, a collaborative peer review process (CPRP) was created as part of a peer-reviewed journal. Replacing the traditional peer review process wherein two or more reviewers review the manuscript separately, the CPRP brings together students from different professions to collaboratively review a manuscript. The aim of this study was to assess whether the CPRP can be used as an informal interprofessional learning tool using an exploratory qualitative approach. Eight students from Counselling Psychology, Occupational and Physical Therapy, Nursing, and Rehabilitation Sciences were invited to participate in interprofessional focus groups. Data were analysed inductively using thematic analysis. Two key themes emerged, revealing that the CPRP created new opportunities for interprofessional learning and gave practice in negotiating feedback. The results reveal that the CPRP has the potential to be a valuable interprofessional learning tool that can also enhance reviewing and constructive feedback skills.

Accuracy of Revised and Traditional Parallel Analyses for Assessing Dimensionality with Binary Data

ERIC Educational Resources Information Center

Green, Samuel B.; Redell, Nickalus; Thompson, Marilyn S.; Levy, Roy

2016-01-01

Parallel analysis (PA) is a useful empirical tool for assessing the number of factors in exploratory factor analysis. On conceptual and empirical grounds, we argue for a revision to PA that makes it more consistent with hypothesis testing. Using Monte Carlo methods, we evaluated the relative accuracy of the revised PA (R-PA) and traditional PA…

Developing a Mathematics Education Quality Scale

ERIC Educational Resources Information Center

Ciftci, S. Koza; Karadag, Engin

2016-01-01

The aim of this study was to evaluate students' perceptions of the quality of mathematics education and to develop a reliable and valid measurement tool. The research was conducted with 638 (first study) and 407 (second study) secondary school students in Eskisehir, Turkey. Item discrimination, structural validity (exploratory factor analysis and…

Researching Learner Self-Efficacy and Online Participation through Speech Functions: An Exploratory Study

ERIC Educational Resources Information Center

Sánchez-Castro, Olga; Strambi, Antonella

2017-01-01

This study explores the potential contribution of Eggins and Slade's (2004) Speech Functions as tools for describing learners' participation patterns in Synchronous Computer-Mediated Communication (SCMC). Our analysis focuses on the relationship between learners' self-efficacy (i.e. personal judgments of second language performance capabilities)…

Human Behavior Based Exploratory Model for Successful Implementation of Lean Enterprise in Industry

ERIC Educational Resources Information Center

Sawhney, Rupy; Chason, Stewart

2005-01-01

Currently available Lean tools such as Lean Assessments, Value Stream Mapping, and Process Flow Charting focus on system requirements and overlook human behavior. A need is felt for a tool that allows one to baseline personnel, determine personnel requirements and align system requirements with personnel requirements. Our exploratory model--The…

Spectral Knowledge (SK-UTALCA): Software for Exploratory Analysis of High-Resolution Spectral Reflectance Data on Plant Breeding

PubMed Central

Lobos, Gustavo A.; Poblete-Echeverría, Carlos

2017-01-01

This article describes public, free software that provides efficient exploratory analysis of high-resolution spectral reflectance data. Spectral reflectance data can suffer from problems such as poor signal to noise ratios in various wavebands or invalid measurements due to changes in incoming solar radiation or operator fatigue leading to poor orientation of sensors. Thus, exploratory data analysis is essential to identify appropriate data for further analyses. This software overcomes the problem that analysis tools such as Excel are cumbersome to use for the high number of wavelengths and samples typically acquired in these studies. The software, Spectral Knowledge (SK-UTALCA), was initially developed for plant breeding, but it is also suitable for other studies such as precision agriculture, crop protection, ecophysiology plant nutrition, and soil fertility. Various spectral reflectance indices (SRIs) are often used to relate crop characteristics to spectral data and the software is loaded with 255 SRIs which can be applied quickly to the data. This article describes the architecture and functions of SK-UTALCA and the features of the data that led to the development of each of its modules. PMID:28119705

Spectral Knowledge (SK-UTALCA): Software for Exploratory Analysis of High-Resolution Spectral Reflectance Data on Plant Breeding.

PubMed

Lobos, Gustavo A; Poblete-Echeverría, Carlos

2016-01-01

This article describes public, free software that provides efficient exploratory analysis of high-resolution spectral reflectance data. Spectral reflectance data can suffer from problems such as poor signal to noise ratios in various wavebands or invalid measurements due to changes in incoming solar radiation or operator fatigue leading to poor orientation of sensors. Thus, exploratory data analysis is essential to identify appropriate data for further analyses. This software overcomes the problem that analysis tools such as Excel are cumbersome to use for the high number of wavelengths and samples typically acquired in these studies. The software, Spectral Knowledge (SK-UTALCA), was initially developed for plant breeding, but it is also suitable for other studies such as precision agriculture, crop protection, ecophysiology plant nutrition, and soil fertility. Various spectral reflectance indices (SRIs) are often used to relate crop characteristics to spectral data and the software is loaded with 255 SRIs which can be applied quickly to the data. This article describes the architecture and functions of SK-UTALCA and the features of the data that led to the development of each of its modules.

The development and exploratory analysis of the Back Pain Attitudes Questionnaire (Back-PAQ)

PubMed Central

Darlow, Ben; Perry, Meredith; Mathieson, Fiona; Stanley, James; Melloh, Markus; Marsh, Reginald; Baxter, G David; Dowell, Anthony

2014-01-01

Objectives To develop an instrument to assess attitudes and underlying beliefs about back pain, and subsequently investigate its internal consistency and underlying structures. Design The instrument was developed by a multidisciplinary team of clinicians and researchers based on analysis of qualitative interviews with people experiencing acute and chronic back pain. Exploratory analysis was conducted using data from a population-based cross-sectional survey. Setting Qualitative interviews with community-based participants and subsequent postal survey. Participants Instrument development informed by interviews with 12 participants with acute back pain and 11 participants with chronic back pain. Data for exploratory analysis collected from New Zealand residents and citizens aged 18 years and above. 1000 participants were randomly selected from the New Zealand Electoral Roll. 602 valid responses were received. Measures The 34-item Back Pain Attitudes Questionnaire (Back-PAQ) was developed. Internal consistency was evaluated by the Cronbach α coefficient. Exploratory analysis investigated the structure of the data using Principal Component Analysis. Results The 34-item long form of the scale had acceptable internal consistency (α=0.70; 95% CI 0.66 to 0.73). Exploratory analysis identified five two-item principal components which accounted for 74% of the variance in the reduced data set: ‘vulnerability of the back’; ‘relationship between back pain and injury’; ‘activity participation while experiencing back pain’; ‘prognosis of back pain’ and ‘psychological influences on recovery’. Internal consistency was acceptable for the reduced 10-item scale (α=0.61; 95% CI 0.56 to 0.66) and the identified components (α between 0.50 and 0.78). Conclusions The 34-item long form of the scale may be appropriate for use in future cross-sectional studies. The 10-item short form may be appropriate for use as a screening tool, or an outcome assessment instrument. Further testing of the 10-item Back-PAQ's construct validity, reliability, responsiveness to change and predictive ability needs to be conducted. PMID:24860003

Design of Teacher Assistance Tools in an Exploratory Learning Environment for Algebraic Generalization

ERIC Educational Resources Information Center

Gutierrez-Santos, S.; Geraniou, E.; Pearce-Lazard, D.; Poulovassilis, A.

2012-01-01

The MiGen project is designing and developing an intelligent exploratory environment to support 11-14-year-old students in their learning of algebraic generalization. Deployed within the classroom, the system also provides tools to assist teachers in monitoring students' activities and progress. This paper describes the design of these Teacher…

E-Learning Adoption: The Role of Relative Advantages, Trialability and Academic Specialisation

ERIC Educational Resources Information Center

Hsbollah, Hafizah Mohamad; Idris, Kamil Md.

2009-01-01

Purpose: The purpose of this paper is to investigate Universiti Utara Malaysia UUM lecturers' perception of the decision regarding adopting e-learning as a teaching tool. Design/methodology/approach: Data were collected from 244 lecturers in Universiti Utara Malaysia. Internal consistency using Cronbach alpha and exploratory factor analysis with…

Developing a Scale for Quality of Using Learning Strategies

ERIC Educational Resources Information Center

Tasci, Guntay; Yurdugul, Halil

2016-01-01

This study aims to develop a measurement tool to measure the quality of using learning strategies. First, the quality of using learning strategies was described based on the literature. The 32 items in the 5-point Likert scale were then administered to 320 prospective teachers, and they were analysed with exploratory factor analysis using…

Validation of a Tool to Assess and Track Undergraduate Attitudes toward Those Living in Poverty

ERIC Educational Resources Information Center

Blair, Kevin D.; Brown, Marlo; Schoepflin, Todd; Taylor, David B.

2014-01-01

Purpose: This article describes the development and validation of the Undergraduate Perceptions of Poverty Tracking Survey (UPPTS). Method: Data were collected from 301 undergraduates at a small university in the Northeast and analyzed using exploratory factor analysis augmented by random qualitative validation. Results: The resulting survey…

Using Interactive Data Visualizations for Exploratory Analysis in Undergraduate Genomics Coursework: Field Study Findings and Guidelines

NASA Astrophysics Data System (ADS)

Mirel, Barbara; Kumar, Anuj; Nong, Paige; Su, Gang; Meng, Fan

2016-02-01

Life scientists increasingly use visual analytics to explore large data sets and generate hypotheses. Undergraduate biology majors should be learning these same methods. Yet visual analytics is one of the most underdeveloped areas of undergraduate biology education. This study sought to determine the feasibility of undergraduate biology majors conducting exploratory analysis using the same interactive data visualizations as practicing scientists. We examined 22 upper level undergraduates in a genomics course as they engaged in a case-based inquiry with an interactive heat map. We qualitatively and quantitatively analyzed students' visual analytic behaviors, reasoning and outcomes to identify student performance patterns, commonly shared efficiencies and task completion. We analyzed students' successes and difficulties in applying knowledge and skills relevant to the visual analytics case and related gaps in knowledge and skill to associated tool designs. Findings show that undergraduate engagement in visual analytics is feasible and could be further strengthened through tool usability improvements. We identify these improvements. We speculate, as well, on instructional considerations that our findings suggested may also enhance visual analytics in case-based modules.

Using Interactive Data Visualizations for Exploratory Analysis in Undergraduate Genomics Coursework: Field Study Findings and Guidelines

PubMed Central

Kumar, Anuj; Nong, Paige; Su, Gang; Meng, Fan

2016-01-01

Life scientists increasingly use visual analytics to explore large data sets and generate hypotheses. Undergraduate biology majors should be learning these same methods. Yet visual analytics is one of the most underdeveloped areas of undergraduate biology education. This study sought to determine the feasibility of undergraduate biology majors conducting exploratory analysis using the same interactive data visualizations as practicing scientists. We examined 22 upper level undergraduates in a genomics course as they engaged in a case-based inquiry with an interactive heat map. We qualitatively and quantitatively analyzed students’ visual analytic behaviors, reasoning and outcomes to identify student performance patterns, commonly shared efficiencies and task completion. We analyzed students’ successes and difficulties in applying knowledge and skills relevant to the visual analytics case and related gaps in knowledge and skill to associated tool designs. Findings show that undergraduate engagement in visual analytics is feasible and could be further strengthened through tool usability improvements. We identify these improvements. We speculate, as well, on instructional considerations that our findings suggested may also enhance visual analytics in case-based modules. PMID:26877625

Physics Metacognition Inventory Part II: Confirmatory factor analysis and Rasch analysis

NASA Astrophysics Data System (ADS)

Taasoobshirazi, Gita; Bailey, MarLynn; Farley, John

2015-11-01

The Physics Metacognition Inventory was developed to measure physics students' metacognition for problem solving. In one of our earlier studies, an exploratory factor analysis provided evidence of preliminary construct validity, revealing six components of students' metacognition when solving physics problems including knowledge of cognition, planning, monitoring, evaluation, debugging, and information management. The college students' scores on the inventory were found to be reliable and related to students' physics motivation and physics grade. However, the results of the exploratory factor analysis indicated that the questionnaire could be revised to improve its construct validity. The goal of this study was to revise the questionnaire and establish its construct validity through a confirmatory factor analysis. In addition, a Rasch analysis was applied to the data to better understand the psychometric properties of the inventory and to further evaluate the construct validity. Results indicated that the final, revised inventory is a valid, reliable, and efficient tool for assessing student metacognition for physics problem solving.

Acquisition Management for Systems-of-Systems: Analysis of Alternatives via Computational Exploratory Model

DTIC Science & Technology

2012-02-03

node to the analysis of eigenmodes (connected trees /networks) of disruption sequences. The identification of disruption eigenmodes is particularly...investment portfolio approach enables the identification of optimal SoS network topologies and provides a tool for acquisition professionals to...a program based on its ability to provide a new capability for a given cost, and not on its ability to meet specific performance requirements ( Spacy

Identifying Items to Assess Methodological Quality in Physical Therapy Trials: A Factor Analysis

PubMed Central

Cummings, Greta G.; Fuentes, Jorge; Saltaji, Humam; Ha, Christine; Chisholm, Annabritt; Pasichnyk, Dion; Rogers, Todd

2014-01-01

Background Numerous tools and individual items have been proposed to assess the methodological quality of randomized controlled trials (RCTs). The frequency of use of these items varies according to health area, which suggests a lack of agreement regarding their relevance to trial quality or risk of bias. Objective The objectives of this study were: (1) to identify the underlying component structure of items and (2) to determine relevant items to evaluate the quality and risk of bias of trials in physical therapy by using an exploratory factor analysis (EFA). Design A methodological research design was used, and an EFA was performed. Methods Randomized controlled trials used for this study were randomly selected from searches of the Cochrane Database of Systematic Reviews. Two reviewers used 45 items gathered from 7 different quality tools to assess the methodological quality of the RCTs. An exploratory factor analysis was conducted using the principal axis factoring (PAF) method followed by varimax rotation. Results Principal axis factoring identified 34 items loaded on 9 common factors: (1) selection bias; (2) performance and detection bias; (3) eligibility, intervention details, and description of outcome measures; (4) psychometric properties of the main outcome; (5) contamination and adherence to treatment; (6) attrition bias; (7) data analysis; (8) sample size; and (9) control and placebo adequacy. Limitation Because of the exploratory nature of the results, a confirmatory factor analysis is needed to validate this model. Conclusions To the authors' knowledge, this is the first factor analysis to explore the underlying component items used to evaluate the methodological quality or risk of bias of RCTs in physical therapy. The items and factors represent a starting point for evaluating the methodological quality and risk of bias in physical therapy trials. Empirical evidence of the association among these items with treatment effects and a confirmatory factor analysis of these results are needed to validate these items. PMID:24786942

Identifying items to assess methodological quality in physical therapy trials: a factor analysis.

PubMed

Armijo-Olivo, Susan; Cummings, Greta G; Fuentes, Jorge; Saltaji, Humam; Ha, Christine; Chisholm, Annabritt; Pasichnyk, Dion; Rogers, Todd

2014-09-01

Numerous tools and individual items have been proposed to assess the methodological quality of randomized controlled trials (RCTs). The frequency of use of these items varies according to health area, which suggests a lack of agreement regarding their relevance to trial quality or risk of bias. The objectives of this study were: (1) to identify the underlying component structure of items and (2) to determine relevant items to evaluate the quality and risk of bias of trials in physical therapy by using an exploratory factor analysis (EFA). A methodological research design was used, and an EFA was performed. Randomized controlled trials used for this study were randomly selected from searches of the Cochrane Database of Systematic Reviews. Two reviewers used 45 items gathered from 7 different quality tools to assess the methodological quality of the RCTs. An exploratory factor analysis was conducted using the principal axis factoring (PAF) method followed by varimax rotation. Principal axis factoring identified 34 items loaded on 9 common factors: (1) selection bias; (2) performance and detection bias; (3) eligibility, intervention details, and description of outcome measures; (4) psychometric properties of the main outcome; (5) contamination and adherence to treatment; (6) attrition bias; (7) data analysis; (8) sample size; and (9) control and placebo adequacy. Because of the exploratory nature of the results, a confirmatory factor analysis is needed to validate this model. To the authors' knowledge, this is the first factor analysis to explore the underlying component items used to evaluate the methodological quality or risk of bias of RCTs in physical therapy. The items and factors represent a starting point for evaluating the methodological quality and risk of bias in physical therapy trials. Empirical evidence of the association among these items with treatment effects and a confirmatory factor analysis of these results are needed to validate these items. © 2014 American Physical Therapy Association.

Modeling and evaluating user behavior in exploratory visual analysis

DOE Office of Scientific and Technical Information (OSTI.GOV)

Reda, Khairi; Johnson, Andrew E.; Papka, Michael E.

Empirical evaluation methods for visualizations have traditionally focused on assessing the outcome of the visual analytic process as opposed to characterizing how that process unfolds. There are only a handful of methods that can be used to systematically study how people use visualizations, making it difficult for researchers to capture and characterize the subtlety of cognitive and interaction behaviors users exhibit during visual analysis. To validate and improve visualization design, however, it is important for researchers to be able to assess and understand how users interact with visualization systems under realistic scenarios. This paper presents a methodology for modeling andmore » evaluating the behavior of users in exploratory visual analysis. We model visual exploration using a Markov chain process comprising transitions between mental, interaction, and computational states. These states and the transitions between them can be deduced from a variety of sources, including verbal transcripts, videos and audio recordings, and log files. This model enables the evaluator to characterize the cognitive and computational processes that are essential to insight acquisition in exploratory visual analysis, and reconstruct the dynamics of interaction between the user and the visualization system. We illustrate this model with two exemplar user studies, and demonstrate the qualitative and quantitative analytical tools it affords.« less

Children, Multimedia Content and Technological Artefacts: An Exploratory Study Using Text Analysis Tools

ERIC Educational Resources Information Center

Mazzoni, Elvis; Nicolò, Enrico; Sapio, Bartolomeo

2015-01-01

Purpose: This paper aims to investigate the user experience of young people with video content accessed through different technological artefacts. Design/methodology/approach: To this purpose, an essay has been assigned to the pupils of two lower secondary school classes (mean age 12 years) to know their diverse types of usage of multimedia…

Developing the Scale of Teacher Self-Efficacy in Teaching Process

ERIC Educational Resources Information Center

Korkmaz, Fahrettin; Unsal, Serkan

2016-01-01

The purpose of this study is to develop a reliable and valid measurement tool which will reveal teachers' self-competence in education process. Participants of the study are 300 teachers working at state primary schools in the province of Gaziantep. Results of the exploratory factor analysis administered to the scale in order to determine its…

Teaching Students to Use Summary Statistics and Graphics to Clean and Analyze Data

ERIC Educational Resources Information Center

Holcomb, John; Spalsbury, Angela

2005-01-01

Textbooks and websites today abound with real data. One neglected issue is that statistical investigations often require a good deal of "cleaning" to ready data for analysis. The purpose of this dataset and exercise is to teach students to use exploratory tools to identify erroneous observations. This article discusses the merits of such…

Assessing Households Preparedness for Earthquakes: An Exploratory Study in the Development of a Valid and Reliable Persian-version Tool.

PubMed

Ardalan, Ali; Sohrabizadeh, Sanaz

2016-02-25

Iran is placed among countries suffering from the highest number of earthquake casualties. Household preparedness, as one component of risk reduction efforts, is often supported in quake-prone areas. In Iran, lack of a valid and reliable household preparedness tool was reported by previous disaster studies. This study is aimed to fill this gap by developing a valid and reliable tool for assessing household preparedness in the event of an earthquake.  This survey was conducted through three phases including literature review and focus group discussions with the participation of eight key informants, validity measurements and reliability measurements. Field investigation was completed with the participation of 450 households within three provinces of Iran. Content validity, construct validity, the use of factor analysis; internal consistency using Cronbach's alpha coefficient, and test-retest reliability were carried out to develop the tool.  Based on the CVIs, ranging from 0.80 to 0.100, and exploratory factor analysis with factor loading of more than 0.5, all items were valid. The amount of Cronbach's alpha (0.7) and test-retest examination by Spearman correlations indicated that the scale was also reliable. The final instrument consisted of six categories and 18 questions including actions at the time of earthquakes, nonstructural safety, structural safety, hazard map, communications, drill, and safety skills.  Using a Persian-version tool that is adjusted to the socio-cultural determinants and native language may result in more trustful information on earthquake preparedness. It is suggested that disaster managers and researchers apply this tool in their future household preparedness projects. Further research is needed to make effective policies and plans for transforming preparedness knowledge into behavior.

Multi-modal virtual environment research at Armstrong Laboratory

NASA Technical Reports Server (NTRS)

Eggleston, Robert G.

1995-01-01

One mission of the Paul M. Fitts Human Engineering Division of Armstrong Laboratory is to improve the user interface for complex systems through user-centered exploratory development and research activities. In support of this goal, many current projects attempt to advance and exploit user-interface concepts made possible by virtual reality (VR) technologies. Virtual environments may be used as a general purpose interface medium, an alternative display/control method, a data visualization and analysis tool, or a graphically based performance assessment tool. An overview is given of research projects within the division on prototype interface hardware/software development, integrated interface concept development, interface design and evaluation tool development, and user and mission performance evaluation tool development.

The development and exploratory analysis of the Back Pain Attitudes Questionnaire (Back-PAQ).

PubMed

Darlow, Ben; Perry, Meredith; Mathieson, Fiona; Stanley, James; Melloh, Markus; Marsh, Reginald; Baxter, G David; Dowell, Anthony

2014-05-23

To develop an instrument to assess attitudes and underlying beliefs about back pain, and subsequently investigate its internal consistency and underlying structures. The instrument was developed by a multidisciplinary team of clinicians and researchers based on analysis of qualitative interviews with people experiencing acute and chronic back pain. Exploratory analysis was conducted using data from a population-based cross-sectional survey. Qualitative interviews with community-based participants and subsequent postal survey. Instrument development informed by interviews with 12 participants with acute back pain and 11 participants with chronic back pain. Data for exploratory analysis collected from New Zealand residents and citizens aged 18 years and above. 1000 participants were randomly selected from the New Zealand Electoral Roll. 602 valid responses were received. The 34-item Back Pain Attitudes Questionnaire (Back-PAQ) was developed. Internal consistency was evaluated by the Cronbach α coefficient. Exploratory analysis investigated the structure of the data using Principal Component Analysis. The 34-item long form of the scale had acceptable internal consistency (α=0.70; 95% CI 0.66 to 0.73). Exploratory analysis identified five two-item principal components which accounted for 74% of the variance in the reduced data set: 'vulnerability of the back'; 'relationship between back pain and injury'; 'activity participation while experiencing back pain'; 'prognosis of back pain' and 'psychological influences on recovery'. Internal consistency was acceptable for the reduced 10-item scale (α=0.61; 95% CI 0.56 to 0.66) and the identified components (α between 0.50 and 0.78). The 34-item long form of the scale may be appropriate for use in future cross-sectional studies. The 10-item short form may be appropriate for use as a screening tool, or an outcome assessment instrument. Further testing of the 10-item Back-PAQ's construct validity, reliability, responsiveness to change and predictive ability needs to be conducted. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

What is the animal doing? Tools for exploring behavioural structure in animal movements.

PubMed

Gurarie, Eliezer; Bracis, Chloe; Delgado, Maria; Meckley, Trevor D; Kojola, Ilpo; Wagner, C Michael

2016-01-01

Movement data provide a window - often our only window - into the cognitive, social and biological processes that underlie the behavioural ecology of animals in the wild. Robust methods for identifying and interpreting distinct modes of movement behaviour are of great importance, but complicated by the fact that movement data are complex, multivariate and dependent. Many different approaches to exploratory analysis of movement have been developed to answer similar questions, and practitioners are often at a loss for how to choose an appropriate tool for a specific question. We apply and compare four methodological approaches: first passage time (FPT), Bayesian partitioning of Markov models (BPMM), behavioural change point analysis (BCPA) and a fitted multistate random walk (MRW) to three simulated tracks and two animal trajectories - a sea lamprey (Petromyzon marinus) tracked for 12 h and a wolf (Canis lupus) tracked for 1 year. The simulations - in which, respectively, velocity, tortuosity and spatial bias change - highlight the sensitivity of all methods to model misspecification. Methods that do not account for autocorrelation in the movement variables lead to spurious change points, while methods that do not account for spatial bias completely miss changes in orientation. When applied to the animal data, the methods broadly agree on the structure of the movement behaviours. Important discrepancies, however, reflect differences in the assumptions and nature of the outputs. Important trade-offs are between the strength of the a priori assumptions (low in BCPA, high in MRW), complexity of output (high in the BCPA, low in the BPMM and MRW) and explanatory potential (highest in the MRW). The animal track analysis suggests some general principles for the exploratory analysis of movement data, including ways to exploit the strengths of the various methods. We argue for close and detailed exploratory analysis of movement before fitting complex movement models. © 2015 The Authors. Journal of Animal Ecology © 2015 British Ecological Society.

Patscanui: an intuitive web interface for searching patterns in DNA and protein data.

PubMed

Blin, Kai; Wohlleben, Wolfgang; Weber, Tilmann

2018-05-02

Patterns in biological sequences frequently signify interesting features in the underlying molecule. Many tools exist to search for well-known patterns. Less support is available for exploratory analysis, where no well-defined patterns are known yet. PatScanUI (https://patscan.secondarymetabolites.org/) provides a highly interactive web interface to the powerful generic pattern search tool PatScan. The complex PatScan-patterns are created in a drag-and-drop aware interface allowing researchers to do rapid prototyping of the often complicated patterns useful to identifying features of interest.

Reproducible research in palaeomagnetism

NASA Astrophysics Data System (ADS)

Lurcock, Pontus; Florindo, Fabio

2015-04-01

The reproducibility of research findings is attracting increasing attention across all scientific disciplines. In palaeomagnetism as elsewhere, computer-based analysis techniques are becoming more commonplace, complex, and diverse. Analyses can often be difficult to reproduce from scratch, both for the original researchers and for others seeking to build on the work. We present a palaeomagnetic plotting and analysis program designed to make reproducibility easier. Part of the problem is the divide between interactive and scripted (batch) analysis programs. An interactive desktop program with a graphical interface is a powerful tool for exploring data and iteratively refining analyses, but usually cannot operate without human interaction. This makes it impossible to re-run an analysis automatically, or to integrate it into a larger automated scientific workflow - for example, a script to generate figures and tables for a paper. In some cases the parameters of the analysis process itself are not saved explicitly, making it hard to repeat or improve the analysis even with human interaction. Conversely, non-interactive batch tools can be controlled by pre-written scripts and configuration files, allowing an analysis to be 'replayed' automatically from the raw data. However, this advantage comes at the expense of exploratory capability: iteratively improving an analysis entails a time-consuming cycle of editing scripts, running them, and viewing the output. Batch tools also tend to require more computer expertise from their users. PuffinPlot is a palaeomagnetic plotting and analysis program which aims to bridge this gap. First released in 2012, it offers both an interactive, user-friendly desktop interface and a batch scripting interface, both making use of the same core library of palaeomagnetic functions. We present new improvements to the program that help to integrate the interactive and batch approaches, allowing an analysis to be interactively explored and refined, then saved as a self-contained configuration which can be re-run without human interaction. PuffinPlot can thus be used as a component of a larger scientific workflow, integrated with workflow management tools such as Kepler, without compromising its capabilities as an exploratory tool. Since both PuffinPlot and the platform it runs on (Java) are Free/Open Source software, even the most fundamental components of an analysis can be verified and reproduced.

Exchanging and Countering Points of View: A Linguistic Perspective on School Students' Use of Electronic Conferencing

ERIC Educational Resources Information Center

Coffin, C.; North, S.; Martin, D.

2009-01-01

The ability to argue is an important academic goal in secondary education. This paper reports on an exploratory study which investigated how asynchronous text-based conferencing provides a new site for school students to rehearse and develop their skills in argumentation. The study used linguistic tools of analysis to investigate two key…

An Exploratory Factor Analysis of the Sheltered Instruction Observation Protocol as an Evaluation Tool to Measure Teaching Effectiveness

ERIC Educational Resources Information Center

Polat, Nihat; Cepik, Saban

2016-01-01

To narrow the achievement gap between English language learners (ELLs) and their native-speaking peers in K-12 settings in the United States, effective instructional models must be identified. However, identifying valid observation protocols that can measure the effectiveness of specially designed instructional practices is not an easy task. This…

Factor Structure of the New Imaginary Audience Scale in a Sample of Female College Students

ERIC Educational Resources Information Center

Kuterbach, James M.

2007-01-01

The New Imaginary Audience Scale (NIAS; Lapsley, FitzGerald, Rice, & Jackson, 1989) has been used as a research tool with both high school and college aged samples, yet there is no structural validity evidence for its use with college students. This study examined the structural validity of the NIAS via an exploratory factor analysis, using a…

Dispositional Insight Scale: Development and Validation of a Tool That Measures Propensity toward Insight in Problem Solving

ERIC Educational Resources Information Center

Ovington, Linda A.; Saliba, Anthony J.; Goldring, Jeremy

2016-01-01

This article reports the development of a brief self-report measure of dispositional insight problem solving, the Dispositional Insight Scale (DIS). From a representative Australian database, 1,069 adults (536 women and 533 men) completed an online questionnaire. An exploratory and confirmatory factor analysis revealed a 5-item scale, with all…

SEURAT: visual analytics for the integrated analysis of microarray data.

PubMed

Gribov, Alexander; Sill, Martin; Lück, Sonja; Rücker, Frank; Döhner, Konstanze; Bullinger, Lars; Benner, Axel; Unwin, Antony

2010-06-03

In translational cancer research, gene expression data is collected together with clinical data and genomic data arising from other chip based high throughput technologies. Software tools for the joint analysis of such high dimensional data sets together with clinical data are required. We have developed an open source software tool which provides interactive visualization capability for the integrated analysis of high-dimensional gene expression data together with associated clinical data, array CGH data and SNP array data. The different data types are organized by a comprehensive data manager. Interactive tools are provided for all graphics: heatmaps, dendrograms, barcharts, histograms, eventcharts and a chromosome browser, which displays genetic variations along the genome. All graphics are dynamic and fully linked so that any object selected in a graphic will be highlighted in all other graphics. For exploratory data analysis the software provides unsupervised data analytics like clustering, seriation algorithms and biclustering algorithms. The SEURAT software meets the growing needs of researchers to perform joint analysis of gene expression, genomical and clinical data.

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.

Analysis of semantic search within the domains of uncertainty: using Keyword Effectiveness Indexing as an evaluation tool.

PubMed

Lorence, Daniel; Abraham, Joanna

2006-01-01

Medical and health-related searches pose a special case of risk when using the web as an information resource. Uninsured consumers, lacking access to a trained provider, will often rely on information from the internet for self-diagnosis and treatment. In areas where treatments are uncertain or controversial, most consumers lack the knowledge to make an informed decision. This exploratory technology assessment examines the use of Keyword Effectiveness Indexing (KEI) analysis as a potential tool for profiling information search and keyword retrieval patterns. Results demonstrate that the KEI methodology can be useful in identifying e-health search patterns, but is limited by semantic or text-based web environments.

Esophageal cancer detection based on tissue surface-enhanced Raman spectroscopy and multivariate analysis

NASA Astrophysics Data System (ADS)

Feng, Shangyuan; Lin, Juqiang; Huang, Zufang; Chen, Guannan; Chen, Weisheng; Wang, Yue; Chen, Rong; Zeng, Haishan

2013-01-01

The capability of using silver nanoparticle based near-infrared surface enhanced Raman scattering (SERS) spectroscopy combined with principal component analysis (PCA) and linear discriminate analysis (LDA) to differentiate esophageal cancer tissue from normal tissue was presented. Significant differences in Raman intensities of prominent SERS bands were observed between normal and cancer tissues. PCA-LDA multivariate analysis of the measured tissue SERS spectra achieved diagnostic sensitivity of 90.9% and specificity of 97.8%. This exploratory study demonstrated great potential for developing label-free tissue SERS analysis into a clinical tool for esophageal cancer detection.

Exploratory of society

NASA Astrophysics Data System (ADS)

Cederman, L.-E.; Conte, R.; Helbing, D.; Nowak, A.; Schweitzer, F.; Vespignani, A.

2012-11-01

A huge flow of quantitative social, demographic and behavioral data is becoming available that traces the activities and interactions of individuals, social patterns, transportation infrastructures and travel fluxes. This has caused, together with innovative computational techniques and methods for modeling social actions in hybrid (natural and artificial) societies, a qualitative change in the ways we model socio-technical systems. For the first time, society can be studied in a comprehensive fashion that addresses social and behavioral complexity. In other words we are in the position to envision the development of large data and computational cyber infrastructure defining an exploratory of society that provides quantitative anticipatory, explanatory and scenario analysis capabilities ranging from emerging infectious disease to conflict and crime surges. The goal of the exploratory of society is to provide the basic infrastructure embedding the framework of tools and knowledge needed for the design of forecast/anticipatory/crisis management approaches to socio technical systems, supporting future decision making procedures by accelerating the scientific cycle that goes from data generation to predictions.

Novel Research Approaches to Gauge Global Teacher Familiarity with Game-Based Teaching in Physical Education: An Exploratory #Twitter Analysis

ERIC Educational Resources Information Center

Pill, Shane; Harvey, Stephen; Hyndman, Brendon

2017-01-01

This paper examines the use of the microblogging platform Twitter as a tool for research in physical education. The research examined teacher use of game-based approaches (GBAs). A rolling Twitter conversation hosted over the course of 12 hours provided the data for the study. Participants were from 18 countries and they contributed on average…

Facebook as a Learning Tool? A Case Study on the Appropriation of Social Network Sites from Mobile Phones in Developing Countries

ERIC Educational Resources Information Center

Pimmer, Christoph; Linxen, Sebastian; Grohbiel, Urs

2012-01-01

This exploratory research investigates how students and professionals use social network sites (SNSs) in the setting of developing and emerging countries. Data collection included focus groups consisting of medical students and faculty as well as the analysis of a Facebook site centred on medical and clinical topics. The findings show how users,…

Validation of an Adapted French Form of the Career Adapt-Abilities Scale in Four Francophone Countries

ERIC Educational Resources Information Center

Johnston, Claire S.; Broonen, Jean-Paul; Stauffer, Sarah D.; Hamtiaux, Armanda; Pouyaud, Jacques; Zecca, Gregory; Houssemand, Claude; Rossier, Jerome

2013-01-01

This study presents the validation of a French version of the Career Adapt-Abilities Scale in four Francophone countries. The aim was to re-analyze the item selection and then compare this newly developed French-language form with the international form 2.0. Exploratory factor analysis was used as a tool for item selection, and confirmatory factor…

Visualizing variations in organizational safety culture across an inter-hospital multifaceted workforce.

PubMed

Kobuse, Hiroe; Morishima, Toshitaka; Tanaka, Masayuki; Murakami, Genki; Hirose, Masahiro; Imanaka, Yuichi

2014-06-01

To develop a reliable and valid questionnaire that can distinguish features of organizational culture for patient safety across subgroups such as hospitals, professions, management/non-management positions and units/wards. We developed a Hospital Organizational Culture Questionnaire based on a conceptual framework incorporating items from a review of existing literature. The questionnaire was administered to hospital staff including doctors, nurses, allied health personnel, and administrative staff at six public hospitals in Japan. Reliability and validity were assessed through exploratory factor analysis, multitrait scaling analysis, Cronbach's alpha coefficient and multiple regression analysis using staff-perceived achievement of safety as the response variable. Discriminative power across subgroups was assessed with radar chart profiling. Of the 3304 hospital staff surveyed, 2924 (88.5%) responded. After exploratory factor analysis and multitrait analysis, the finalized questionnaire was composed of 24 items in the following eight dimensions: improvement orientation, passion for mission, professional growth, resource allocation prioritization, inter-sectional collaboration, responsibility and authority, teamwork, and information sharing. Construct validity and internal consistency of dimensions were confirmed with multitrait analysis and Cronbach's alpha coefficients, respectively. Multiple regression analysis showed that improvement orientation, passion for mission, resource allocation prioritization and information sharing were significantly associated with higher achievement in safety practices. Our questionnaire tool was able to distinguish features of safety culture among different subgroups. Our questionnaire demonstrated excellent validity and reliability, and revealed distinct cultural patterns among different subgroups. Quantitative assessment of organizational safety culture with this tool may further the understanding of associated characteristics of each subgroup and provide insight into organizational readiness for patient safety improvement. © 2014 John Wiley & Sons, Ltd.

A cognitive task analysis of a visual analytic workflow: Exploring molecular interaction networks in systems biology.

PubMed

Mirel, Barbara; Eichinger, Felix; Keller, Benjamin J; Kretzler, Matthias

2011-03-21

Bioinformatics visualization tools are often not robust enough to support biomedical specialists’ complex exploratory analyses. Tools need to accommodate the workflows that scientists actually perform for specific translational research questions. To understand and model one of these workflows, we conducted a case-based, cognitive task analysis of a biomedical specialist’s exploratory workflow for the question: What functional interactions among gene products of high throughput expression data suggest previously unknown mechanisms of a disease? From our cognitive task analysis four complementary representations of the targeted workflow were developed. They include: usage scenarios, flow diagrams, a cognitive task taxonomy, and a mapping between cognitive tasks and user-centered visualization requirements. The representations capture the flows of cognitive tasks that led a biomedical specialist to inferences critical to hypothesizing. We created representations at levels of detail that could strategically guide visualization development, and we confirmed this by making a trial prototype based on user requirements for a small portion of the workflow. Our results imply that visualizations should make available to scientific users “bundles of features” consonant with the compositional cognitive tasks purposefully enacted at specific points in the workflow. We also highlight certain aspects of visualizations that: (a) need more built-in flexibility; (b) are critical for negotiating meaning; and (c) are necessary for essential metacognitive support.

Development of an instrument based on the protection motivation theory to measure factors influencing women's intention to first pap test practice.

PubMed

Hassani, Lale; Dehdari, Tahereh; Hajizadeh, Ebrahim; Shojaeizadeh, Davoud; Abedini, Mehrandokht; Nedjat, Saharnaz

2014-01-01

Given that there are many Iranian women who have never had a Pap smear, this study was designed to develop and validate a measurement tool based on the Protection Motivation Theory to assess factors influencing the Iranian women's intention to perform first Pap testing. In this psychometric research, to determine the Content Validity Index (CVI) and the Content Validity Ratio (CVR), a panel of experts (n=10) reviewed scale items. Reliability was estimated through the Intraclass Correlation Coefficient (n=30) and internal consistency (n=240). Also, factor analysis (exploratory and conformity) was performed on the data of the sample women who had never had a Pap smear test (n=240). A 26-item questionnaire was developed. The CVI and CVR scores of the scale were 0.89 and 0.90, respectively. Exploratory factor analysis loaded a 26-item with seven factors questionnaire (perceived vulnerability and severity, fear, response costs, response efficacy, self-efficacy, and protection motivation (or intention)) that jointly accounted for 72.76% of the observed variance. Confirmatory factor analysis indicated a good fit for the data. Internal consistency (range 0.70-0.93) and test-retest reliability (range 0.72-0.96) of sub-scales were acceptable. This study showed that the designed instrument was a valid and reliable tool for measuring the factors influencing the women's intention to perform their first Pap testing.

An Instrument to Measure Dental Students' Communication Skills With Patients in Six Specific Circumstances: An Exploratory Factor Analysis.

PubMed

Aalboe, Joanna A; Schumacher, Mitzi M

2016-01-01

The aim of this study was to explore the internal structure of an instrument assessing dental students' confidence in their ability to communicate with patients in six specific circumstances (anxious, in pain, etc.) using exploratory factor analysis. In a Communication in the Dental Health Care Setting course at a U.S. dental school, second-year dental students in two years (2013 and 2014) responded to the six items on a survey instrument. Of the total 123 students, 122 fully completed the instrument, for a response rate of 99%. Analysis of the results identified a unidimensional scale with regards to patient-specific communication self-efficacy and explained 74% of the total variance. The scale had good internal consistency reflected by high Cronbach's alpha (α=0.929, 95% CI [0.907, 0.947]). These findings suggest the instrument may be a useful tool in assessing the development of patient communication skills in second-year dental students following a course in communication. Further exploration utilizing confirmatory analysis, determining predictive validity, and assessing convergent and discriminant evidence is warranted.

Joint mapping of genes and conditions via multidimensional unfolding analysis

PubMed Central

Van Deun, Katrijn; Marchal, Kathleen; Heiser, Willem J; Engelen, Kristof; Van Mechelen, Iven

2007-01-01

Background Microarray compendia profile the expression of genes in a number of experimental conditions. Such data compendia are useful not only to group genes and conditions based on their similarity in overall expression over profiles but also to gain information on more subtle relations between genes and conditions. Getting a clear visual overview of all these patterns in a single easy-to-grasp representation is a useful preliminary analysis step: We propose to use for this purpose an advanced exploratory method, called multidimensional unfolding. Results We present a novel algorithm for multidimensional unfolding that overcomes both general problems and problems that are specific for the analysis of gene expression data sets. Applying the algorithm to two publicly available microarray compendia illustrates its power as a tool for exploratory data analysis: The unfolding analysis of a first data set resulted in a two-dimensional representation which clearly reveals temporal regulation patterns for the genes and a meaningful structure for the time points, while the analysis of a second data set showed the algorithm's ability to go beyond a mere identification of those genes that discriminate between different patient or tissue types. Conclusion Multidimensional unfolding offers a useful tool for preliminary explorations of microarray data: By relying on an easy-to-grasp low-dimensional geometric framework, relations among genes, among conditions and between genes and conditions are simultaneously represented in an accessible way which may reveal interesting patterns in the data. An additional advantage of the method is that it can be applied to the raw data without necessitating the choice of suitable genewise transformations of the data. PMID:17550582

Validation of the self-assessment teamwork tool (SATT) in a cohort of nursing and medical students.

PubMed

Roper, Lucinda; Shulruf, Boaz; Jorm, Christine; Currie, Jane; Gordon, Christopher J

2018-02-09

Poor teamwork has been implicated in medical error and teamwork training has been shown to improve patient care. Simulation is an effective educational method for teamwork training. Post-simulation reflection aims to promote learning and we have previously developed a self-assessment teamwork tool (SATT) for health students to measure teamwork performance. This study aimed to evaluate the psychometric properties of a revised self-assessment teamwork tool. The tool was tested in 257 medical and nursing students after their participation in one of several mass casualty simulations. Using exploratory and confirmatory factor analysis, the revised self-assessment teamwork tool was shown to have strong construct validity, high reliability, and the construct demonstrated invariance across groups (Medicine & Nursing). The modified SATT was shown to be a reliable and valid student self-assessment tool. The SATT is a quick and practical method of guiding students' reflection on important teamwork skills.

MethVisual - visualization and exploratory statistical analysis of DNA methylation profiles from bisulfite sequencing.

PubMed

Zackay, Arie; Steinhoff, Christine

2010-12-15

Exploration of DNA methylation and its impact on various regulatory mechanisms has become a very active field of research. Simultaneously there is an arising need for tools to process and analyse the data together with statistical investigation and visualisation. MethVisual is a new application that enables exploratory analysis and intuitive visualization of DNA methylation data as is typically generated by bisulfite sequencing. The package allows the import of DNA methylation sequences, aligns them and performs quality control comparison. It comprises basic analysis steps as lollipop visualization, co-occurrence display of methylation of neighbouring and distant CpG sites, summary statistics on methylation status, clustering and correspondence analysis. The package has been developed for methylation data but can be also used for other data types for which binary coding can be inferred. The application of the package, as well as a comparison to existing DNA methylation analysis tools and its workflow based on two datasets is presented in this paper. The R package MethVisual offers various analysis procedures for data that can be binarized, in particular for bisulfite sequenced methylation data. R/Bioconductor has become one of the most important environments for statistical analysis of various types of biological and medical data. Therefore, any data analysis within R that allows the integration of various data types as provided from different technological platforms is convenient. It is the first and so far the only specific package for DNA methylation analysis, in particular for bisulfite sequenced data available in R/Bioconductor enviroment. The package is available for free at http://methvisual.molgen.mpg.de/ and from the Bioconductor Consortium http://www.bioconductor.org.

MethVisual - visualization and exploratory statistical analysis of DNA methylation profiles from bisulfite sequencing

PubMed Central

2010-01-01

Background Exploration of DNA methylation and its impact on various regulatory mechanisms has become a very active field of research. Simultaneously there is an arising need for tools to process and analyse the data together with statistical investigation and visualisation. Findings MethVisual is a new application that enables exploratory analysis and intuitive visualization of DNA methylation data as is typically generated by bisulfite sequencing. The package allows the import of DNA methylation sequences, aligns them and performs quality control comparison. It comprises basic analysis steps as lollipop visualization, co-occurrence display of methylation of neighbouring and distant CpG sites, summary statistics on methylation status, clustering and correspondence analysis. The package has been developed for methylation data but can be also used for other data types for which binary coding can be inferred. The application of the package, as well as a comparison to existing DNA methylation analysis tools and its workflow based on two datasets is presented in this paper. Conclusions The R package MethVisual offers various analysis procedures for data that can be binarized, in particular for bisulfite sequenced methylation data. R/Bioconductor has become one of the most important environments for statistical analysis of various types of biological and medical data. Therefore, any data analysis within R that allows the integration of various data types as provided from different technological platforms is convenient. It is the first and so far the only specific package for DNA methylation analysis, in particular for bisulfite sequenced data available in R/Bioconductor enviroment. The package is available for free at http://methvisual.molgen.mpg.de/ and from the Bioconductor Consortium http://www.bioconductor.org. PMID:21159174

Validating the Farsi version of the Pregnancy Worries and Stress Questionnaire (PWSQ): An exploratory factor analysis.

PubMed

Navidpour, Fariba; Dolatian, Mahrokh; Shishehgar, Sara; Yaghmaei, Farideh; Majd, Hamid Alavi; Hashemi, Seyed Saeed

2016-10-01

Biological, environmental, inter- and intrapersonal changes during the antenatal period can result in anxiety and stress in pregnant women. It is pivotal to identify potential stressors and prevent their foetal and maternal consequences. The present study was conducted to validate and examine the factor structure of the Farsi version of the Pregnancy Worries and Stress Questionnaire (PWSQ). In 2015, 502 Iranian healthy pregnant women, referred to selected hospitals in Tehran for prenatal care at 8-39 weeks of pregnancy, were recruited through a randomized cluster sampling. The PWSQ was translated into Farsi, and its validity and reliability were examined using exploratory factor analysis by SPSS version 21. The content validity of items on the PWSQ was between 0.63-1. The content validity index for relevance, clarity and simplicity were 0.92, 0.98, and 0.98, respectively, with a mean of 0.94. The Kaiser-Meyer-Olkin measure of sampling adequacy was 0.863. Test-retest reliability showed high internal consistency (α=0.89; p<0.0001). The psychometric evaluation and exploratory factor analysis showed that the translated questionnaire is a valid and reliable tool to identify stress in Iranian pregnant women. Application of the questionnaire can facilitate the diagnosis of stress in pregnant women and assist health care providers in providing timely support and minimizing negative outcomes of stress and anxiety in pregnant women and their infants.

An Exploratory Factor Analysis and Construct Validity of the Resident Choice Assessment Scale with Paid Carers of Adults with Intellectual Disabilities and Challenging Behavior in Community Settings

ERIC Educational Resources Information Center

Ratti, Victoria; Vickerstaff, Victoria; Crabtree, Jason; Hassiotis, Angela

2017-01-01

Introduction: The Resident Choice Assessment Scale (RCAS) is used to assess choice availability for adults with intellectual disabilities (ID). The aim of the study was to explore the factor structure, construct validity, and internal consistency of the measure in community settings to further validate this tool. Method: 108 paid carers of adults…

Single Particle Differentiation through 2D Optical Fiber Trapping and Back-Scattered Signal Statistical Analysis: An Exploratory Approach

PubMed Central

Ribeiro, Rita S. R.; Cunha, João P. S.; Rosa, Carla C.; Jorge, Pedro A. S.

2018-01-01

Recent trends on microbiology point out the urge to develop optical micro-tools with multifunctionalities such as simultaneous manipulation and sensing. Considering that miniaturization has been recognized as one of the most important paradigms of emerging sensing biotechnologies, optical fiber tools, including Optical Fiber Tweezers (OFTs), are suitable candidates for developing multifunctional small sensors for Medicine and Biology. OFTs are flexible and versatile optotools based on fibers with one extremity patterned to form a micro-lens. These are able to focus laser beams and exert forces onto microparticles strong enough (piconewtons) to trap and manipulate them. In this paper, through an exploratory analysis of a 45 features set, including time and frequency-domain parameters of the back-scattered signal of particles trapped by a polymeric lens, we created a novel single feature able to differentiate synthetic particles (PMMA and Polystyrene) from living yeasts cells. This single statistical feature can be useful for the development of label-free hybrid optical fiber sensors with applications in infectious diseases detection or cells sorting. It can also contribute, by revealing the most significant information that can be extracted from the scattered signal, to the development of a simpler method for particles characterization (in terms of composition, heterogeneity degree) than existent technologies. PMID:29495502

Viewpoints: A High-Performance High-Dimensional Exploratory Data Analysis Tool

NASA Astrophysics Data System (ADS)

Gazis, P. R.; Levit, C.; Way, M. J.

2010-12-01

Scientific data sets continue to increase in both size and complexity. In the past, dedicated graphics systems at supercomputing centers were required to visualize large data sets, but as the price of commodity graphics hardware has dropped and its capability has increased, it is now possible, in principle, to view large complex data sets on a single workstation. To do this in practice, an investigator will need software that is written to take advantage of the relevant graphics hardware. The Viewpoints visualization package described herein is an example of such software. Viewpoints is an interactive tool for exploratory visual analysis of large high-dimensional (multivariate) data. It leverages the capabilities of modern graphics boards (GPUs) to run on a single workstation or laptop. Viewpoints is minimalist: it attempts to do a small set of useful things very well (or at least very quickly) in comparison with similar packages today. Its basic feature set includes linked scatter plots with brushing, dynamic histograms, normalization, and outlier detection/removal. Viewpoints was originally designed for astrophysicists, but it has since been used in a variety of fields that range from astronomy, quantum chemistry, fluid dynamics, machine learning, bioinformatics, and finance to information technology server log mining. In this article, we describe the Viewpoints package and show examples of its usage.

Single Particle Differentiation through 2D Optical Fiber Trapping and Back-Scattered Signal Statistical Analysis: An Exploratory Approach.

PubMed

Paiva, Joana S; Ribeiro, Rita S R; Cunha, João P S; Rosa, Carla C; Jorge, Pedro A S

2018-02-27

Recent trends on microbiology point out the urge to develop optical micro-tools with multifunctionalities such as simultaneous manipulation and sensing. Considering that miniaturization has been recognized as one of the most important paradigms of emerging sensing biotechnologies, optical fiber tools, including Optical Fiber Tweezers (OFTs), are suitable candidates for developing multifunctional small sensors for Medicine and Biology. OFTs are flexible and versatile optotools based on fibers with one extremity patterned to form a micro-lens. These are able to focus laser beams and exert forces onto microparticles strong enough (piconewtons) to trap and manipulate them. In this paper, through an exploratory analysis of a 45 features set, including time and frequency-domain parameters of the back-scattered signal of particles trapped by a polymeric lens, we created a novel single feature able to differentiate synthetic particles (PMMA and Polystyrene) from living yeasts cells. This single statistical feature can be useful for the development of label-free hybrid optical fiber sensors with applications in infectious diseases detection or cells sorting. It can also contribute, by revealing the most significant information that can be extracted from the scattered signal, to the development of a simpler method for particles characterization (in terms of composition, heterogeneity degree) than existent technologies.

Quantifying microwear on experimental Mistassini quartzite scrapers: preliminary results of exploratory research using LSCM and scale-sensitive fractal analysis.

PubMed

Stemp, W James; Lerner, Harry J; Kristant, Elaine H

2013-01-01

Although previous use-wear studies involving quartz and quartzite have been undertaken by archaeologists, these are comparatively few in number. Moreover, there has been relatively little effort to quantify use-wear on stone tools made from quartzite. The purpose of this article is to determine the effectiveness of a measurement system, laser scanning confocal microscopy (LSCM), to document the surface roughness or texture of experimental Mistassini quartzite scrapers used on two different contact materials (fresh and dry deer hide). As in previous studies using LSCM on chert, flint, and obsidian, this exploratory study incorporates a mathematical algorithm that permits the discrimination of surface roughness based on comparisons at multiple scales. Specifically, we employ measures of relative area (RelA) coupled with the F-test to discriminate used from unused stone tool surfaces, as well as surfaces of quartzite scrapers used on dry and fresh deer hide. Our results further demonstrate the effect of raw material variation on use-wear formation and its documentation using LSCM and RelA. © Wiley Periodicals, Inc.

Child Sexual Abuse, Baby Gender, and Intergenerational Psychic Transmission: An Exploratory, Projective Psychoanalytic Approach.

PubMed

de Tychey, Claude; Vandelet, Elena; Laurent, Mélanie; Lighezzolo-Alnot, Joelle; Prudent, Cécile; Evrard, Renaud

2016-04-01

The aim of this article is to present a French psychoanalytic model of how and to what extent the sequellae of sexual abuse by a male during a girl's childhood are transmitted to the next generation, as a function of the gender of the abused mother's children. The authors conducted a qualitative exploratory study based on the longitudinal follow-up of a woman who had two boys and a girl. They focused on the impact of two general sequellae: separation anxiety and negativity-disqualification of the paternal and/or male figures. From the methodological standpoint, they used a clinical interview to assess the mother, and a projective tool, a storytelling test, to assess the child's personality using content analysis. The results confirm both the merits of the theoretical framework and the relevance of the projective methodology for grasping sequellae transmitted to the child. The sequellae turned out to be markedly different for the two baby genders: rejection for the male, overprotection and ghostly encryption for the female. Avenues for using this tool and model in future quantitative, comparative studies are suggested.

Polarisation Measurement with a Dual Beam Interferometer (CATSI). Exploratory Results and Preliminary Phenomenological Analysis

DTIC Science & Technology

2006-06-01

Polarisation measurement with a dual beam interferometer (CATSI) Exploratory results and preliminary phenomenological analysis H. Lavoie J.-M... Polarisation measurement with a dual beam interferometer (CATSI) Exploratory results and preliminary phenomenological analysis H. Lavoie J.-M. Thériault... Polarisation measurement with a dual beam interferometer (CATSI) - Exploratory results and preliminary phenomenological analysis. ECR 2004-372. DRDC Valcartier

Teaching Social Skills in a Virtual Environment: An Exploratory Study

ERIC Educational Resources Information Center

Baker, Jason; Parks-Savage, Agatha; Rehfuss, Mark

2009-01-01

This article reports on an exploratory study which examines the use of virtual environment technology as a tool to teach elementary school children social skills. Small group interventions were assessed to determine how the participants were measurably different on 7 different dependent variables: problem behaviors, academic competence,…

A Brief History of the Philosophical Foundations of Exploratory Factor Analysis.

ERIC Educational Resources Information Center

Mulaik, Stanley A.

1987-01-01

Exploratory factor analysis derives its key ideas from many sources, including Aristotle, Francis Bacon, Descartes, Pearson and Yule, and Kant. The conclusions of exploratory factor analysis are never complete without subsequent confirmatory factor analysis. (Author/GDC)

fluff: exploratory analysis and visualization of high-throughput sequencing data

PubMed Central

Georgiou, Georgios

2016-01-01

Summary. In this article we describe fluff, a software package that allows for simple exploration, clustering and visualization of high-throughput sequencing data mapped to a reference genome. The package contains three command-line tools to generate publication-quality figures in an uncomplicated manner using sensible defaults. Genome-wide data can be aggregated, clustered and visualized in a heatmap, according to different clustering methods. This includes a predefined setting to identify dynamic clusters between different conditions or developmental stages. Alternatively, clustered data can be visualized in a bandplot. Finally, fluff includes a tool to generate genomic profiles. As command-line tools, the fluff programs can easily be integrated into standard analysis pipelines. The installation is straightforward and documentation is available at http://fluff.readthedocs.org. Availability. fluff is implemented in Python and runs on Linux. The source code is freely available for download at https://github.com/simonvh/fluff. PMID:27547532

Finding Groups in Gene Expression Data

PubMed Central

2005-01-01

The vast potential of the genomic insight offered by microarray technologies has led to their widespread use since they were introduced a decade ago. Application areas include gene function discovery, disease diagnosis, and inferring regulatory networks. Microarray experiments enable large-scale, high-throughput investigations of gene activity and have thus provided the data analyst with a distinctive, high-dimensional field of study. Many questions in this field relate to finding subgroups of data profiles which are very similar. A popular type of exploratory tool for finding subgroups is cluster analysis, and many different flavors of algorithms have been used and indeed tailored for microarray data. Cluster analysis, however, implies a partitioning of the entire data set, and this does not always match the objective. Sometimes pattern discovery or bump hunting tools are more appropriate. This paper reviews these various tools for finding interesting subgroups. PMID:16046827

SEURAT: Visual analytics for the integrated analysis of microarray data

PubMed Central

2010-01-01

Background In translational cancer research, gene expression data is collected together with clinical data and genomic data arising from other chip based high throughput technologies. Software tools for the joint analysis of such high dimensional data sets together with clinical data are required. Results We have developed an open source software tool which provides interactive visualization capability for the integrated analysis of high-dimensional gene expression data together with associated clinical data, array CGH data and SNP array data. The different data types are organized by a comprehensive data manager. Interactive tools are provided for all graphics: heatmaps, dendrograms, barcharts, histograms, eventcharts and a chromosome browser, which displays genetic variations along the genome. All graphics are dynamic and fully linked so that any object selected in a graphic will be highlighted in all other graphics. For exploratory data analysis the software provides unsupervised data analytics like clustering, seriation algorithms and biclustering algorithms. Conclusions The SEURAT software meets the growing needs of researchers to perform joint analysis of gene expression, genomical and clinical data. PMID:20525257

SATRAT: Staphylococcus aureus transcript regulatory network analysis tool.

PubMed

Gopal, Tamilselvi; Nagarajan, Vijayaraj; Elasri, Mohamed O

2015-01-01

Staphylococcus aureus is a commensal organism that primarily colonizes the nose of healthy individuals. S. aureus causes a spectrum of infections that range from skin and soft-tissue infections to fatal invasive diseases. S. aureus uses a large number of virulence factors that are regulated in a coordinated fashion. The complex regulatory mechanisms have been investigated in numerous high-throughput experiments. Access to this data is critical to studying this pathogen. Previously, we developed a compilation of microarray experimental data to enable researchers to search, browse, compare, and contrast transcript profiles. We have substantially updated this database and have built a novel exploratory tool-SATRAT-the S. aureus transcript regulatory network analysis tool, based on the updated database. This tool is capable of performing deep searches using a query and generating an interactive regulatory network based on associations among the regulators of any query gene. We believe this integrated regulatory network analysis tool would help researchers explore the missing links and identify novel pathways that regulate virulence in S. aureus. Also, the data model and the network generation code used to build this resource is open sourced, enabling researchers to build similar resources for other bacterial systems.

Measuring content overlap during handoff communication using distributional semantics: An exploratory study.

PubMed

Abraham, Joanna; Kannampallil, Thomas G; Srinivasan, Vignesh; Galanter, William L; Tagney, Gail; Cohen, Trevor

2017-01-01

We develop and evaluate a methodological approach to measure the degree and nature of overlap in handoff communication content within and across clinical professions. This extensible, exploratory approach relies on combining techniques from conversational analysis and distributional semantics. We audio-recorded handoff communication of residents and nurses on the General Medicine floor of a large academic hospital (n=120 resident and n=120 nurse handoffs). We measured semantic similarity, a proxy for content overlap, between resident-resident and nurse-nurse communication using multiple steps: a qualitative conversational content analysis; an automated semantic similarity analysis using Reflective Random Indexing (RRI); and comparing semantic similarity generated by RRI analysis with human ratings of semantic similarity. There was significant association between the semantic similarity as computed by the RRI method and human rating (ρ=0.88). Based on the semantic similarity scores, content overlap was relatively higher for content related to patient active problems, assessment of active problems, patient-identifying information, past medical history, and medications/treatments. In contrast, content overlap was limited on content related to allergies, family-related information, code status, and anticipatory guidance. Our approach using RRI analysis provides new opportunities for characterizing the nature and degree of overlap in handoff communication. Although exploratory, this method provides a basis for identifying content that can be used for determining shared understanding across clinical professions. Additionally, this approach can inform the development of flexibly standardized handoff tools that reflect clinical content that are most appropriate for fostering shared understanding during transitions of care. Copyright © 2016 Elsevier Inc. All rights reserved.

Development of AMSTAR: a measurement tool to assess the methodological quality of systematic reviews.

PubMed

Shea, Beverley J; Grimshaw, Jeremy M; Wells, George A; Boers, Maarten; Andersson, Neil; Hamel, Candyce; Porter, Ashley C; Tugwell, Peter; Moher, David; Bouter, Lex M

2007-02-15

Our objective was to develop an instrument to assess the methodological quality of systematic reviews, building upon previous tools, empirical evidence and expert consensus. A 37-item assessment tool was formed by combining 1) the enhanced Overview Quality Assessment Questionnaire (OQAQ), 2) a checklist created by Sacks, and 3) three additional items recently judged to be of methodological importance. This tool was applied to 99 paper-based and 52 electronic systematic reviews. Exploratory factor analysis was used to identify underlying components. The results were considered by methodological experts using a nominal group technique aimed at item reduction and design of an assessment tool with face and content validity. The factor analysis identified 11 components. From each component, one item was selected by the nominal group. The resulting instrument was judged to have face and content validity. A measurement tool for the 'assessment of multiple systematic reviews' (AMSTAR) was developed. The tool consists of 11 items and has good face and content validity for measuring the methodological quality of systematic reviews. Additional studies are needed with a focus on the reproducibility and construct validity of AMSTAR, before strong recommendations can be made on its use.

Identifying Talent in Youth Sport: A Novel Methodology Using Higher-Dimensional Analysis.

PubMed

Till, Kevin; Jones, Ben L; Cobley, Stephen; Morley, David; O'Hara, John; Chapman, Chris; Cooke, Carlton; Beggs, Clive B

2016-01-01

Prediction of adult performance from early age talent identification in sport remains difficult. Talent identification research has generally been performed using univariate analysis, which ignores multivariate relationships. To address this issue, this study used a novel higher-dimensional model to orthogonalize multivariate anthropometric and fitness data from junior rugby league players, with the aim of differentiating future career attainment. Anthropometric and fitness data from 257 Under-15 rugby league players was collected. Players were grouped retrospectively according to their future career attainment (i.e., amateur, academy, professional). Players were blindly and randomly divided into an exploratory (n = 165) and validation dataset (n = 92). The exploratory dataset was used to develop and optimize a novel higher-dimensional model, which combined singular value decomposition (SVD) with receiver operating characteristic analysis. Once optimized, the model was tested using the validation dataset. SVD analysis revealed 60 m sprint and agility 505 performance were the most influential characteristics in distinguishing future professional players from amateur and academy players. The exploratory dataset model was able to distinguish between future amateur and professional players with a high degree of accuracy (sensitivity = 85.7%, specificity = 71.1%; p<0.001), although it could not distinguish between future professional and academy players. The validation dataset model was able to distinguish future professionals from the rest with reasonable accuracy (sensitivity = 83.3%, specificity = 63.8%; p = 0.003). Through the use of SVD analysis it was possible to objectively identify criteria to distinguish future career attainment with a sensitivity over 80% using anthropometric and fitness data alone. As such, this suggests that SVD analysis may be a useful analysis tool for research and practice within talent identification.

Identifying Talent in Youth Sport: A Novel Methodology Using Higher-Dimensional Analysis

PubMed Central

Till, Kevin; Jones, Ben L.; Cobley, Stephen; Morley, David; O'Hara, John; Chapman, Chris; Cooke, Carlton; Beggs, Clive B.

2016-01-01

Prediction of adult performance from early age talent identification in sport remains difficult. Talent identification research has generally been performed using univariate analysis, which ignores multivariate relationships. To address this issue, this study used a novel higher-dimensional model to orthogonalize multivariate anthropometric and fitness data from junior rugby league players, with the aim of differentiating future career attainment. Anthropometric and fitness data from 257 Under-15 rugby league players was collected. Players were grouped retrospectively according to their future career attainment (i.e., amateur, academy, professional). Players were blindly and randomly divided into an exploratory (n = 165) and validation dataset (n = 92). The exploratory dataset was used to develop and optimize a novel higher-dimensional model, which combined singular value decomposition (SVD) with receiver operating characteristic analysis. Once optimized, the model was tested using the validation dataset. SVD analysis revealed 60 m sprint and agility 505 performance were the most influential characteristics in distinguishing future professional players from amateur and academy players. The exploratory dataset model was able to distinguish between future amateur and professional players with a high degree of accuracy (sensitivity = 85.7%, specificity = 71.1%; p<0.001), although it could not distinguish between future professional and academy players. The validation dataset model was able to distinguish future professionals from the rest with reasonable accuracy (sensitivity = 83.3%, specificity = 63.8%; p = 0.003). Through the use of SVD analysis it was possible to objectively identify criteria to distinguish future career attainment with a sensitivity over 80% using anthropometric and fitness data alone. As such, this suggests that SVD analysis may be a useful analysis tool for research and practice within talent identification. PMID:27224653

Development and psychometric testing of the clinical networks engagement tool

PubMed Central

Hecker, Kent G.; Rabatach, Leora; Noseworthy, Tom W.; White, Deborah E.

2017-01-01

Background Clinical networks are being used widely to facilitate large system transformation in healthcare, by engagement of stakeholders throughout the health system. However, there are no available instruments that measure engagement in these networks. Methods The study purpose was to develop and assess the measurement properties of a multiprofessional tool to measure engagement in clinical network initiatives. Based on components of the International Association of Public Participation Spectrum and expert panel review, we developed 40 items for testing. The draft instrument was distributed to 1,668 network stakeholders across different governance levels (leaders, members, support, frontline stakeholders) in 9 strategic clinical networks in Alberta (January to July 2014). With data from 424 completed surveys (25.4% response rate), descriptive statistics, exploratory and confirmatory factor analysis, Pearson correlations, linear regression, multivariate analysis, and Cronbach alpha were conducted to assess reliability and validity of the scores. Results Sixteen items were retained in the instrument. Exploratory factor analysis indicated a four-factor solution and accounted for 85.7% of the total variance in engagement with clinical network initiatives: global engagement, inform (provided with information), involve (worked together to address concerns), and empower (given final decision-making authority). All subscales demonstrated acceptable reliability (Cronbach alpha 0.87 to 0.99). Both the confirmatory factor analysis and regression analysis confirmed that inform, involve, and empower were all significant predictors of global engagement, with involve as the strongest predictor. Leaders had higher mean scores than frontline stakeholders, while members and support staff did not differ in mean scores. Conclusions This study provided foundational evidence for the use of this tool for assessing engagement in clinical networks. Further work is necessary to evaluate engagement in broader network functions and activities; to assess barriers and facilitators of engagement; and, to elucidate how the maturity of networks and other factors influence engagement. PMID:28350834

Development of Enabling Scientific Tools to Characterize the Geologic Subsurface at Hanford

DOE Office of Scientific and Technical Information (OSTI.GOV)

Kenna, Timothy C.; Herron, Michael M.

2014-07-08

This final report to the Department of Energy provides a summary of activities conducted under our exploratory grant, funded through U.S. DOE Subsurface Biogeochemical Research Program in the category of enabling scientific tools, which covers the period from July 15, 2010 to July 14, 2013. The main goal of this exploratory project is to determine the parameters necessary to translate existing borehole log data into reservoir properties following scientifically sound petrophysical relationships. For this study, we focused on samples and Ge-based spectral gamma logging system (SGLS) data collected from wells located in the Hanford 300 Area. The main activities consistedmore » of 1) the analysis of available core samples for a variety of mineralogical, chemical and physical; 2) evaluation of selected spectral gamma logs, environmental corrections, and calibration; 3) development of algorithms and a proposed workflow that permits translation of log responses into useful reservoir properties such as lithology, matrix density, porosity, and permeability. These techniques have been successfully employed in the petroleum industry; however, the approach is relatively new when applied to subsurface remediation. This exploratory project has been successful in meeting its stated objectives. We have demonstrated that our approach can lead to an improved interpretation of existing well log data. The algorithms we developed can utilize available log data, in particular gamma, and spectral gamma logs, and continued optimization will improve their application to ERSP goals of understanding subsurface properties.« less

Development and psychometric properties of the Suicidality of Adolescent Screening Scale (SASS) using Multidimensional Item Response Theory.

PubMed

Sukhawaha, Supattra; Arunpongpaisal, Suwanna; Hurst, Cameron

2016-09-30

Suicide prevention in adolescents by early detection using screening tools to identify high suicidal risk is a priority. Our objective was to build a multidimensional scale namely "Suicidality of Adolescent Screening Scale (SASS)" to identify adolescents at risk of suicide. An initial pool of items was developed by using in-depth interview, focus groups and a literature review. Initially, 77 items were administered to 307 adolescents and analyzed using the exploratory Multidimensional Item Response Theory (MIRT) to remove unnecessary items. A subsequent exploratory factor analysis revealed 35 items that collected into 4 factors: Stressors, Pessimism, Suicidality and Depression. To confirm this structure, a new sample of 450 adolescents were collected and confirmatory MIRT factor analysis was performed. The resulting scale was shown to be both construct valid and able to discriminate well between adolescents that had, and hadn't previous attempted suicide. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

An Exploratory Factor Analysis of Coping Styles and Relationship to Depression Among a Sample of Homeless Youth.

PubMed

Brown, Samantha M; Begun, Stephanie; Bender, Kimberly; Ferguson, Kristin M; Thompson, Sanna J

2015-10-01

The extent to which measures of coping adequately capture the ways that homeless youth cope with challenges, and the influence these coping styles have on mental health outcomes, is largely absent from the literature. This study tests the factor structure of the Coping Scale using Exploratory Factor Analysis (EFA) and then investigates the relationship between coping styles and depression using hierarchical logistic regression with data from 201 homeless youth. Results of the EFA indicate a 3-factor structure of coping, which includes active, avoidant, and social coping styles. Results of the hierarchical logistic regression show that homeless youth who engage in greater avoidant coping are at increased risk of meeting criteria for major depressive disorder. Findings provide insight into the utility of a preliminary tool for assessing homeless youths' coping styles. Such assessment may identify malleable risk factors that could be addressed by service providers to help prevent mental health problems.

The Job Satisfaction of Finnish Nursing Staff: The Development of a Job Satisfaction Scale and Survey Results

PubMed Central

Kvist, Tarja; Mäntynen, Raija; Partanen, Pirjo; Turunen, Hannele; Miettinen, Merja; Vehviläinen-Julkunen, Katri

2012-01-01

This paper describes the development of the Kuopio University Hospital Job Satisfaction Scale (KUHJSS) and the results of the survey. The scale was developed through a systematic literature review, and its validity and reliability were assessed using several psychometric properties including expert evaluation (n = 5), a pilot survey (n = 172), and exploratory factor analysis. The final version of KUHJSS included 37 items. A large sample psychometric evaluation was made by nursing staff (n = 2708). The exploratory factor analysis revealed seven factors with modest internal consistency (0.64–0.92). The staff reported relatively high job satisfaction. The greatest satisfaction was derived from motivating factors associated with the work; the least, from the job's demands. Respondents who considered their working units to provide an excellent quality of care reported the highest job satisfaction in every subarea (P < .0001). The KUHJSS proved to be a reliable and valid tool for measuring job satisfaction in hospital care. PMID:23133750

An Exploratory Study of Digital Video Editing as a Tool for Teacher Preparation

ERIC Educational Resources Information Center

Calandra, Brendan; Gurvitch, Rachel; Lund, Jacalyn

2008-01-01

The authors' purpose was to examine teacher candidates' perspectives of successful teaching through personalized video vignettes. Furthermore, the authors were interested in how participants' written reflections might change as a result of creating these vignettes. This research used mixed-methods within the context of an exploratory multi-case…

Development and validation of an asthma first aid knowledge questionnaire.

PubMed

Luckie, Kate; Pang, Tsz Chun; Kritikos, Vicky; Saini, Bandana; Moles, Rebekah Jane

2018-05-01

There is no gold standard outcome assessment for asthma first-aid knowledge. We therefore aimed to develop and validate an asthma first-aid knowledge questionnaire (AFAKQ) to be used before and after educational interventions. The AFAKQ was developed based on a content analysis of existing asthma knowledge questionnaires and current asthma management guidelines. Content and face validity was performed by a review panel consisting of expert respiratory physicians, researchers and parents of school aged children. A 21 item questionnaire was then pilot tested among a sample of caregivers, health professionals and pharmacy students. Exploratory Factor analysis was performed to determine internal consistency. The initial 46 item version of the AFAKQ, was reduced to 21 items after revision by the expert panel. This was then pilot tested amongst 161 participants and further reduced to 14 items. The exploratory factor analysis revealed a parsimonious one factor solution with a Cronbach's Alpha of 0.77 with the 14 item AFAKQ. The AFAKQ is a valid tool ready for application in evaluating the impact of educational interventions on asthma first-aid knowledge. Copyright © 2017 Elsevier Inc. All rights reserved.

RADSS: an integration of GIS, spatial statistics, and network service for regional data mining

NASA Astrophysics Data System (ADS)

Hu, Haitang; Bao, Shuming; Lin, Hui; Zhu, Qing

2005-10-01

Regional data mining, which aims at the discovery of knowledge about spatial patterns, clusters or association between regions, has widely applications nowadays in social science, such as sociology, economics, epidemiology, crime, and so on. Many applications in the regional or other social sciences are more concerned with the spatial relationship, rather than the precise geographical location. Based on the spatial continuity rule derived from Tobler's first law of geography: observations at two sites tend to be more similar to each other if the sites are close together than if far apart, spatial statistics, as an important means for spatial data mining, allow the users to extract the interesting and useful information like spatial pattern, spatial structure, spatial association, spatial outlier and spatial interaction, from the vast amount of spatial data or non-spatial data. Therefore, by integrating with the spatial statistical methods, the geographical information systems will become more powerful in gaining further insights into the nature of spatial structure of regional system, and help the researchers to be more careful when selecting appropriate models. However, the lack of such tools holds back the application of spatial data analysis techniques and development of new methods and models (e.g., spatio-temporal models). Herein, we make an attempt to develop such an integrated software and apply it into the complex system analysis for the Poyang Lake Basin. This paper presents a framework for integrating GIS, spatial statistics and network service in regional data mining, as well as their implementation. After discussing the spatial statistics methods involved in regional complex system analysis, we introduce RADSS (Regional Analysis and Decision Support System), our new regional data mining tool, by integrating GIS, spatial statistics and network service. RADSS includes the functions of spatial data visualization, exploratory spatial data analysis, and spatial statistics. The tool also includes some fundamental spatial and non-spatial database in regional population and environment, which can be updated by external database via CD or network. Utilizing this data mining and exploratory analytical tool, the users can easily and quickly analyse the huge mount of the interrelated regional data, and better understand the spatial patterns and trends of the regional development, so as to make a credible and scientific decision. Moreover, it can be used as an educational tool for spatial data analysis and environmental studies. In this paper, we also present a case study on Poyang Lake Basin as an application of the tool and spatial data mining in complex environmental studies. At last, several concluding remarks are discussed.

Generating community-built tools for data sharing and analysis in environmental networks

USGS Publications Warehouse

Read, Jordan S.; Gries, Corinna; Read, Emily K.; Klug, Jennifer; Hanson, Paul C.; Hipsey, Matthew R.; Jennings, Eleanor; O'Reilley, Catherine; Winslow, Luke A.; Pierson, Don; McBride, Christopher G.; Hamilton, David

2016-01-01

Rapid data growth in many environmental sectors has necessitated tools to manage and analyze these data. The development of tools often lags behind the proliferation of data, however, which may slow exploratory opportunities and scientific progress. The Global Lake Ecological Observatory Network (GLEON) collaborative model supports an efficient and comprehensive data–analysis–insight life cycle, including implementations of data quality control checks, statistical calculations/derivations, models, and data visualizations. These tools are community-built and openly shared. We discuss the network structure that enables tool development and a culture of sharing, leading to optimized output from limited resources. Specifically, data sharing and a flat collaborative structure encourage the development of tools that enable scientific insights from these data. Here we provide a cross-section of scientific advances derived from global-scale analyses in GLEON. We document enhancements to science capabilities made possible by the development of analytical tools and highlight opportunities to expand this framework to benefit other environmental networks.

Surface Enhanced Raman Spectroscopy (SERS) and multivariate analysis as a screening tool for detecting Sudan I dye in culinary spices

NASA Astrophysics Data System (ADS)

Di Anibal, Carolina V.; Marsal, Lluís F.; Callao, M. Pilar; Ruisánchez, Itziar

2012-02-01

Raman spectroscopy combined with multivariate analysis was evaluated as a tool for detecting Sudan I dye in culinary spices. Three Raman modalities were studied: normal Raman, FT-Raman and SERS. The results show that SERS is the most appropriate modality capable of providing a proper Raman signal when a complex matrix is analyzed. To get rid of the spectral noise and background, Savitzky-Golay smoothing with polynomial baseline correction and wavelet transform were applied. Finally, to check whether unadulterated samples can be differentiated from samples adulterated with Sudan I dye, an exploratory analysis such as principal component analysis (PCA) was applied to raw data and data processed with the two mentioned strategies. The results obtained by PCA show that Raman spectra need to be properly treated if useful information is to be obtained and both spectra treatments are appropriate for processing the Raman signal. The proposed methodology shows that SERS combined with appropriate spectra treatment can be used as a practical screening tool to distinguish samples suspicious to be adulterated with Sudan I dye.

Towards program theory validation: Crowdsourcing the qualitative analysis of participant experiences.

PubMed

Harman, Elena; Azzam, Tarek

2018-02-01

This exploratory study examines a novel tool for validating program theory through crowdsourced qualitative analysis. It combines a quantitative pattern matching framework traditionally used in theory-driven evaluation with crowdsourcing to analyze qualitative interview data. A sample of crowdsourced participants are asked to read an interview transcript and identify whether program theory components (Activities and Outcomes) are discussed and to highlight the most relevant passage about that component. The findings indicate that using crowdsourcing to analyze qualitative data can differentiate between program theory components that are supported by a participant's experience and those that are not. This approach expands the range of tools available to validate program theory using qualitative data, thus strengthening the theory-driven approach. Copyright © 2017 Elsevier Ltd. All rights reserved.

A Review of CEFA Software: Comprehensive Exploratory Factor Analysis Program

ERIC Educational Resources Information Center

Lee, Soon-Mook

2010-01-01

CEFA 3.02(Browne, Cudeck, Tateneni, & Mels, 2008) is a factor analysis computer program designed to perform exploratory factor analysis. It provides the main properties that are needed for exploratory factor analysis, namely a variety of factoring methods employing eight different discrepancy functions to be minimized to yield initial…

Construct validity test of evaluation tool for professional behaviors of entry-level occupational therapy students in the United States.

PubMed

Yuen, Hon K; Azuero, Andres; Lackey, Kaitlin W; Brown, Nicole S; Shrestha, Sangita

2016-01-01

This study aimed to test the construct validity of an instrument to measure student professional behaviors in entry-level occupational therapy (OT) students in the academic setting. A total of 718 students from 37 OT programs across the United States answered a self-assessment survey of professional behavior that we developed. The survey consisted of ranking 28 attributes, each on a 5-point Likert scale. A split-sample approach was used for exploratory and then confirmatory factor analysis. A three-factor solution with nine items was extracted using exploratory factor analysis [EFA] (n=430, 60%). The factors were 'Commitment to Learning' (2 items), 'Skills for Learning' (4 items), and 'Cultural Competence' (3 items). Confirmatory factor analysis (CFA) on the validation split (n=288, 40%) indicated fair fit for this three-factor model (fit indices: CFI=0.96, RMSEA=0.06, and SRMR=0.05). Internal consistency reliability estimates of each factor and the instrument ranged from 0.63 to 0.79. Results of the CFA in a separate validation dataset provided robust measures of goodness-of-fit for the three-factor solution developed in the EFA, and indicated that the three-factor model fitted the data well enough. Therefore, we can conclude that this student professional behavior evaluation instrument is a structurally validated tool to measure professional behaviors reported by entry-level OT students. The internal consistency reliability of each individual factor and the whole instrument was considered to be adequate to good.

Development of the competency scale for primary care managers in Thailand: Scale development.

PubMed

Kitreerawutiwong, Keerati; Sriruecha, Chanaphol; Laohasiriwong, Wongsa

2015-12-09

The complexity of the primary care system requires a competent manager to achieve high-quality healthcare. The existing literature in the field yields little evidence of the tools to assess the competency of primary care administrators. This study aimed to develop and examine the psychometric properties of the competency scale for primary care managers in Thailand. The scale was developed using in-depth interviews and focus group discussions among policy makers, managers, practitioners, village health volunteers, and clients. The specific dimensions were extracted from 35 participants. 123 items were generated from the evidence and qualitative data. Content validity was established through the evaluation of seven experts and the original 123 items were reduced to 84 items. The pilot testing was conducted on a simple random sample of 487 primary care managers. Item analysis, reliability testing, and exploratory factor analysis were applied to establish the scale's reliability and construct validity. Exploratory factor analysis identified nine dimensions with 48 items using a five-point Likert scale. Each dimension accounted for greater than 58.61% of the total variance. The scale had strong content validity (Indices = 0.85). Each dimension of Cronbach's alpha ranged from 0.70 to 0.88. Based on these analyses, this instrument demonstrated sound psychometric properties and therefore is considered an effective tool for assessment of the primary care manager competencies. The results can be used to improve competency requirements of primary care managers, with implications for health service management workforce development.

PIVOT: platform for interactive analysis and visualization of transcriptomics data.

PubMed

Zhu, Qin; Fisher, Stephen A; Dueck, Hannah; Middleton, Sarah; Khaladkar, Mugdha; Kim, Junhyong

2018-01-05

Many R packages have been developed for transcriptome analysis but their use often requires familiarity with R and integrating results of different packages requires scripts to wrangle the datatypes. Furthermore, exploratory data analyses often generate multiple derived datasets such as data subsets or data transformations, which can be difficult to track. Here we present PIVOT, an R-based platform that wraps open source transcriptome analysis packages with a uniform user interface and graphical data management that allows non-programmers to interactively explore transcriptomics data. PIVOT supports more than 40 popular open source packages for transcriptome analysis and provides an extensive set of tools for statistical data manipulations. A graph-based visual interface is used to represent the links between derived datasets, allowing easy tracking of data versions. PIVOT further supports automatic report generation, publication-quality plots, and program/data state saving, such that all analysis can be saved, shared and reproduced. PIVOT will allow researchers with broad background to easily access sophisticated transcriptome analysis tools and interactively explore transcriptome datasets.

Flyby Geometry Optimization Tool

NASA Technical Reports Server (NTRS)

Karlgaard, Christopher D.

2007-01-01

The Flyby Geometry Optimization Tool is a computer program for computing trajectories and trajectory-altering impulsive maneuvers for spacecraft used in radio relay of scientific data to Earth from an exploratory airplane flying in the atmosphere of Mars.

Exploratory spatial analysis of pilot fatality rates in general aviation crashes using geographic information systems.

PubMed

Grabowski, Jurek G; Curriero, Frank C; Baker, Susan P; Li, Guohua

2002-03-01

Geographic information systems and exploratory spatial analysis were used to describe the geographic characteristics of pilot fatality rates in 1983-1998 general aviation crashes within the continental United States. The authors plotted crash sites on a digital map; rates were computed at regular grid intersections and then interpolated by using geographic information systems. A test for significance was performed by using Monte Carlo simulations. Further analysis compared low-, medium-, and high-rate areas in relation to pilot characteristics, aircraft type, and crash circumstance. Of the 14,051 general aviation crashes studied, 31% were fatal. Seventy-four geographic areas were categorized as having low fatality rates and 53 as having high fatality rates. High-fatality-rate areas tended to be mountainous, such as the Rocky Mountains and the Appalachian region, whereas low-rate areas were relatively flat, such as the Great Plains. Further analysis comparing low-, medium-, and high-fatality-rate areas revealed that crashes in high-fatality-rate areas were more likely than crashes in other areas to have occurred under instrument meteorologic conditions and to involve aircraft fire. This study demonstrates that geographic information systems are a valuable tool for injury prevention and aviation safety research.

Adaptation of the ORTHO-15 test to Polish women and men.

PubMed

Brytek-Matera, Anna; Krupa, Magdalena; Poggiogalle, Eleonora; Donini, Lorenzo Maria

2014-03-01

There is a lack of Polish tools to measure behaviour related to orthorexia nervosa. The purpose of the present study was to validate the Polish version of the ORTHO-15 test. 341 women and 59 men (N = 400) were recruited, whose age ranged from 18 to 35 years. Mean age was 23.09 years (SD = 3.14) in women and 24.02 years (SD = 3.87) in men. The ORTHO-15 test and the EAT-26 test were used in the present study. Factor analysis (exploratory and confirmatory analysis) was used in the present study. Exploratory factor analysis performed on the initial 15 items from a random split half of the study group suggested a nine-item two-factor structure. Confirmatory factor analysis performed on the second randomly selected half of the study group supported this two-factor structure of the ORTHO-15 test. The Polish version of the ORTHO-15 test demonstrated an internal consistency (Cronbach's alpha) equal to 0.644. The Polish version of the ORTHO-15 test is a reliable and valuable instrument to assess obsessive attitudes related to healthy and proper nutrition in Polish female and male population.

Factor structure of the Japanese version of the Edinburgh Postnatal Depression Scale in the postpartum period.

PubMed

Kubota, Chika; Okada, Takashi; Aleksic, Branko; Nakamura, Yukako; Kunimoto, Shohko; Morikawa, Mako; Shiino, Tomoko; Tamaji, Ai; Ohoka, Harue; Banno, Naomi; Morita, Tokiko; Murase, Satomi; Goto, Setsuko; Kanai, Atsuko; Masuda, Tomoko; Ando, Masahiko; Ozaki, Norio

2014-01-01

The Edinburgh Postnatal Depression Scale (EPDS) is a widely used screening tool for postpartum depression (PPD). Although the reliability and validity of EPDS in Japanese has been confirmed and the prevalence of PPD is found to be about the same as Western countries, the factor structure of the Japanese version of EPDS has not been elucidated yet. 690 Japanese mothers completed all items of the EPDS at 1 month postpartum. We divided them randomly into two sample sets. The first sample set (n = 345) was used for exploratory factor analysis, and the second sample set was used (n = 345) for confirmatory factor analysis. The result of exploratory factor analysis indicated a three-factor model consisting of anxiety, depression and anhedonia. The results of confirmatory factor analysis suggested that the anxiety and anhedonia factors existed for EPDS in a sample of Japanese women at 1 month postpartum. The depression factor varies by the models of acceptable fit. We examined EPDS scores. As a result, "anxiety" and "anhedonia" exist for EPDS among postpartum women in Japan as already reported in Western countries. Cross-cultural research is needed for future research.

An Exploratory Study of Indian University Students' Use of Social Networking Web Sites: Implications for the Workplace

ERIC Educational Resources Information Center

Agarwal, Shailja; Mital, Monika

2009-01-01

Social networking Web sites (SNWs) are online tools that have transformed the virtual encounters of the past that were technical and impersonal to today's virtual socialization that is truly nontechnical, social, and interpersonal. This article presents an exploratory study of Indian University students' use of SNWs. The results indicated that…

Teachers' Use of Dietary Recalls for Exploratory Dialogue in the Classroom

ERIC Educational Resources Information Center

Torres, Irene

2017-01-01

Objective: This study examines teachers' adoption and adaptation of 24-hour dietary recall technique for exploratory dialogue in the classroom with students aged 8-12 years. The focus is on the teachers' use of the information collected through the recall tool to pose open questions, recap, reformulate and elaborate collectively with the students…

Utilizing Technology Effectively to Improve Millennials' Educational Performance: An Exploratory Look at Business Students' Perceptions

ERIC Educational Resources Information Center

Aviles, Maria; Eastman, Jacqueline K.

2012-01-01

Purpose: The purpose of this paper is to discuss how technological tools, such as Web 2.0 and online learning management systems, can be utilized to improve Millennials' educational performance. Design/methodology/approach: An exploratory survey of Millennial business students was conducted to measure their self-reported use and perceived…

Exploratory Talk, Argumentation and Reasoning in Mexican Primary School Children

ERIC Educational Resources Information Center

Rojas-Drummond, Sylvia; Zapata, Margarita Peon

2004-01-01

The study analyses the effects of training primary school children in the use of a linguistic tool called "Exploratory Talk" (ET) on their capacity for argumentation. ET allows for reasoned confrontation and negotiation of points of view, making the reasoning visible in the talk. Eighty-eight Mexican children from the 5th and 6th grades…

Development and psychometric properties rating scale of “clinical competency evaluation in mental health nurses”: Exploratory factor analysis

PubMed Central

Moskoei, Sara; Mohtashami, Jamileh; Ghalenoeei, Mahdie; Nasiri, Maliheh; Tafreshi, Mansoreh Zaghari

2017-01-01

Introduction Evaluation of clinical competency in nurses has a distinct importance in healthcare due to its significant impact on improving the quality of patient care and creation of opportunities for professional promotion. This is a psychometric study for development of the “Clinical Competency of Mental Health Nursing”(CCMHN) rating scale. Methods In this methodological research that was conducted in 2015, in Tehran, Iran, the main items were developed after literature review and the validity and reliability of the tool were identified. The face, content (content validity ratio and content validity index) and construct validities were calculated. For face and content validity, experts’ comments were used. Exploratory factor analysis was used to determine the construct validity. The reliability of scale was determined by the internal consistency and inter-rater correlation. The collected data were analyzed by SPSS version 16, using descriptive statistical analysis. Results A scale with 45 items in two parts including Emotional/Moral and Specific Care competencies was developed. Content validity ratio and content validity index were 0.88, 0.97 respectively. Exploratory factor analysis indicated two factors: The first factor with 23.93 eigenvalue and second factor with eigenvalue 2.58. Cronbach’s alpha coefficient for determination of internal consistency was 0.98 and the ICC for confirmation inter-rater correlation was 0.98. Conclusion A scale with 45 items and two areas was developed with appropriate validity and reliability. This scale can be used to assess the clinical competency in nursing students and mental health nurses. PMID:28607650

Exploratory Mediation Analysis via Regularization

PubMed Central

Serang, Sarfaraz; Jacobucci, Ross; Brimhall, Kim C.; Grimm, Kevin J.

2017-01-01

Exploratory mediation analysis refers to a class of methods used to identify a set of potential mediators of a process of interest. Despite its exploratory nature, conventional approaches are rooted in confirmatory traditions, and as such have limitations in exploratory contexts. We propose a two-stage approach called exploratory mediation analysis via regularization (XMed) to better address these concerns. We demonstrate that this approach is able to correctly identify mediators more often than conventional approaches and that its estimates are unbiased. Finally, this approach is illustrated through an empirical example examining the relationship between college acceptance and enrollment. PMID:29225454

Coming Full Circle with Boyd’s OODA Loop Ideas: An Analysis of Innovation Diffusion and Evolution

DTIC Science & Technology

2004-03-01

answer “what” and “how” exploratory questions and was focused on the discovery of aspects of complex ideas, a qualitative methodology was used. A... discovery rather than explanation (Maykut & Morehouse, 1994). This thesis research followed the Miles and Huberman (1994) interactive model of...conducted using the research tools FirstSearch and EBSCO and the on-line search engine Google (www.google.com). Within FirstSearch, academic and business

Screening the risk of bipolar spectrum disorders: Validity evidence of the Mood Disorder Questionnaire in adolescents and young adults.

PubMed

Fonseca-Pedrero, Eduardo; Ortuño-Sierra, Javier; Paino, Mercedes; Muñiz, José

2016-01-01

The aim of this study was to gather sources of validity evidence of the Mood Disorder Questionnaire (MDQ) in young adults for its use as a screening tool for bipolar spectrum disorders. The sample was composed of 1,002 participants, 268 men (26.7%). The mean age of participants was 21.1 years (SD=3.9). The results showed that between 3 and 59% of the sample reported some hypomanic experience. Gender differences were found in the total score of the MDQ. The analysis of the internal structure by exploratory factor analysis yielded 2 factors, called Energy-Activity and Disinhibition-Attention. This dimensional structure was replicated in the exploratory structural equation modeling (ESEM), and also had factorial equivalence by gender. Participants who met the cut-off points of the MDQ reported a worse perceived mental health status and more consummatory and anticipatory pleasure, compared to the low scores group. These findings indicate that the MDQ has adequate psychometric properties in non-clinical samples, and could be useful as a screening tool in psychopathology, with the possibility of optimizing strategies for early identification and prevention in individuals at high risk for bipolar disorders. Future studies should further explore the role of subclinical bipolar phenotype and conduct longitudinal studies in samples of the general population. Copyright © 2015 SEP y SEPB. Published by Elsevier España. All rights reserved.

A novel practical scoring for early diagnosis of traumatic bowel injury without obvious solid organ injury in hemodynamically stable patients.

PubMed

Zarour, Ahmad; El-Menyar, Ayman; Khattabi, Mazen; Tayyem, Raed; Hamed, Osama; Mahmood, Ismail; Abdelrahman, Husham; Chiu, William; Al-Thani, Hassan

2014-01-01

To develop a scoring tool based on clinical and radiological findings for early diagnosis and intervention in hemodynamically stable patients with traumatic bowel and mesenteric injury (TBMI) without obvious solid organ injury (SOI). A retrospective analysis was conducted for all traumatic abdominal injury patients in Qatar from 2008 to 2011. Data included demographics and clinical, radiological and operative findings. Multivariate logistic regression was performed to analyze the predictors for the need of therapeutic laparotomy. A total of 105 patients met the inclusion criteria with a mean age of 33 ± 15. Motor Vehicle Crashes (58%) and fall (21%) were the major MOI. Using Receiver operating characteristic curve, Z-score of >9 was the cutoff point (AUC = 0.98) for high probability of the presence of TBMI requiring surgical intervention. Z-Score >9 was found to have sensitivity (96.7%), specificity (97.4%), PPV (93.5%) and NPV (98.7%). Multivariate regression analysis found Z-score (>9) to be an independent predictor for the need of exploratory laparotomy (OR7.0; 95% CI: 2.46-19.78, p = 0.001). This novel tool for early diagnosis of TBMI is found to be simple and helpful in selecting stable patients with free intra-abdominal fluid without SOI for exploratory Laparotomy. However, further prospective studies are warranted. Copyright © 2014 Surgical Associates Ltd. Published by Elsevier Ltd. All rights reserved.

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.

SNPassoc: an R package to perform whole genome association studies.

PubMed

González, Juan R; Armengol, Lluís; Solé, Xavier; Guinó, Elisabet; Mercader, Josep M; Estivill, Xavier; Moreno, Víctor

2007-03-01

The popularization of large-scale genotyping projects has led to the widespread adoption of genetic association studies as the tool of choice in the search for single nucleotide polymorphisms (SNPs) underlying susceptibility to complex diseases. Although the analysis of individual SNPs is a relatively trivial task, when the number is large and multiple genetic models need to be explored it becomes necessary a tool to automate the analyses. In order to address this issue, we developed SNPassoc, an R package to carry out most common analyses in whole genome association studies. These analyses include descriptive statistics and exploratory analysis of missing values, calculation of Hardy-Weinberg equilibrium, analysis of association based on generalized linear models (either for quantitative or binary traits), and analysis of multiple SNPs (haplotype and epistasis analysis). Package SNPassoc is available at CRAN from http://cran.r-project.org. A tutorial is available on Bioinformatics online and in http://davinci.crg.es/estivill_lab/snpassoc.

Remote visual analysis of large turbulence databases at multiple scales

DOE Office of Scientific and Technical Information (OSTI.GOV)

Pulido, Jesus; Livescu, Daniel; Kanov, Kalin

The remote analysis and visualization of raw large turbulence datasets is challenging. Current accurate direct numerical simulations (DNS) of turbulent flows generate datasets with billions of points per time-step and several thousand time-steps per simulation. Until recently, the analysis and visualization of such datasets was restricted to scientists with access to large supercomputers. The public Johns Hopkins Turbulence database simplifies access to multi-terabyte turbulence datasets and facilitates the computation of statistics and extraction of features through the use of commodity hardware. In this paper, we present a framework designed around wavelet-based compression for high-speed visualization of large datasets and methodsmore » supporting multi-resolution analysis of turbulence. By integrating common technologies, this framework enables remote access to tools available on supercomputers and over 230 terabytes of DNS data over the Web. Finally, the database toolset is expanded by providing access to exploratory data analysis tools, such as wavelet decomposition capabilities and coherent feature extraction.« less

Remote visual analysis of large turbulence databases at multiple scales

DOE PAGES

Pulido, Jesus; Livescu, Daniel; Kanov, Kalin; ...

2018-06-15

The remote analysis and visualization of raw large turbulence datasets is challenging. Current accurate direct numerical simulations (DNS) of turbulent flows generate datasets with billions of points per time-step and several thousand time-steps per simulation. Until recently, the analysis and visualization of such datasets was restricted to scientists with access to large supercomputers. The public Johns Hopkins Turbulence database simplifies access to multi-terabyte turbulence datasets and facilitates the computation of statistics and extraction of features through the use of commodity hardware. In this paper, we present a framework designed around wavelet-based compression for high-speed visualization of large datasets and methodsmore » supporting multi-resolution analysis of turbulence. By integrating common technologies, this framework enables remote access to tools available on supercomputers and over 230 terabytes of DNS data over the Web. Finally, the database toolset is expanded by providing access to exploratory data analysis tools, such as wavelet decomposition capabilities and coherent feature extraction.« less

Development and validation of a tool to assess knowledge and attitudes towards generic medicines among students in Greece: The ATtitude TOwards GENerics (ATTOGEN) questionnaire.

PubMed

Domeyer, Philip J; Aletras, Vassilis; Anagnostopoulos, Fotios; Katsari, Vasiliki; Niakas, Dimitris

2017-01-01

The use of generic medicines is a cost-effective policy, often dictated by fiscal restraints. To our knowledge, no fully validated tool exploring the students' knowledge and attitudes towards generic medicines exists. The aim of our study was to develop and validate a questionnaire exploring the knowledge and attitudes of M.Sc. in Health Care Management students and recent alumni's towards generic drugs in Greece. The development of the questionnaire was a result of literature review and pilot-testing of its preliminary versions to researchers and students. The final version of the questionnaire contains 18 items measuring the respondents' knowledge and attitude towards generic medicines on a 5-point Likert scale. Given the ordinal nature of the data, ordinal alpha and polychoric correlations were computed. The sample was randomly split into two halves. Exploratory factor analysis, performed in the first sample, was used for the creation of multi-item scales. Confirmatory factor analysis and Generalized Linear Latent and Mixed Model analysis (GLLAMM) with the use of the rating scale model were used in the second sample to assess goodness of fit. An assessment of internal consistency reliability, test-retest reliability, and construct validity was also performed. Among 1402 persons contacted, 986 persons completed our questionnaire (response rate = 70.3%). Overall Cronbach's alpha was 0.871. The conjoint use of exploratory and confirmatory factor analysis resulted in a six-scale model, which seemed to fit the data well. Five of the six scales, namely trust, drug quality, state audit, fiscal impact and drug substitution were found to be valid and reliable, while the knowledge scale suffered only from low inter-scale correlations and a ceiling effect. However, the subsequent confirmatory factor and GLLAMM analyses indicated a good fit of the model to the data. The ATTOGEN instrument proved to be a reliable and valid tool, suitable for assessing students' knowledge and attitudes towards generic medicines.

Differences in Spatio-Temporal Behavior of Zebrafish in the Open Tank Paradigm after a Short-Period Confinement into Dark and Bright Environments

PubMed Central

Rosemberg, Denis B.; Rico, Eduardo P.; Mussulini, Ben Hur M.; Piato, Ângelo L.; Calcagnotto, Maria E.; Bonan, Carla D.; Dias, Renato D.; Blaser, Rachel E.; Souza, Diogo O.; de Oliveira, Diogo L.

2011-01-01

The open tank paradigm, also known as novel tank diving test, is a protocol used to evaluate the zebrafish behavior. Several characteristics have been described for this species, including scototaxis, which is the natural preference for dark environments in detriment of bright ones. However, there is no evidence regarding the influence of “natural stimuli” in zebrafish subjected to novelty-based paradigms. In this report, we evaluated the spatio-temporal exploratory activity of the short-fin zebrafish phenotype in the open tank after a short-period confinement into dark/bright environments. A total of 44 animals were individually confined during a 10-min single session into one of three environments: black-painted, white-painted, and transparent cylinders (dark, bright, and transparent groups). Fish were further subjected to the novel tank test and their exploratory profile was recorded during a 15-min trial. The results demonstrated that zebrafish increased their vertical exploratory activity during the first 6-min, where the bright group spent more time and travelled a higher distance in the top area. Interestingly, all behavioral parameters measured for the dark group were similar to the transparent one. These data were confirmed by automated analysis of track and occupancy plots and also demonstrated that zebrafish display a classical homebase formation in the bottom area of the tank. A detailed spatio-temporal study of zebrafish exploratory behavior and the construction of representative ethograms showed that the experimental groups presented significant differences in the first 3-min vs. last 3-min of test. Although the main factors involved in these behavioral responses still remain ambiguous and require further investigation, the current report describes an alternative methodological approach for assessing the zebrafish behavior after a forced exposure to different environments. Additionally, the analysis of ethologically-relevant patterns across time could be a potential phenotyping tool to evaluate the zebrafish exploratory profile in the open tank task. PMID:21559304

Cross-species assessments of motor and exploratory behavior related to bipolar disorder.

PubMed

Henry, Brook L; Minassian, Arpi; Young, Jared W; Paulus, Martin P; Geyer, Mark A; Perry, William

2010-07-01

Alterations in exploratory behavior are a fundamental feature of bipolar mania, typically characterized as motor hyperactivity and increased goal-directed behavior in response to environmental cues. In contrast, abnormal exploration associated with schizophrenia and depression can manifest as prominent withdrawal, limited motor activity, and inattention to the environment. While motor abnormalities are cited frequently as clinical manifestations of these disorders, relatively few empirical studies have quantified human exploratory behavior. This article reviews the literature characterizing motor and exploratory behavior associated with bipolar disorder and genetic and pharmacological animal models of the illness. Despite sophisticated assessment of exploratory behavior in rodents, objective quantification of human motor activity has been limited primarily to actigraphy studies with poor cross-species translational value. Furthermore, symptoms that reflect the cardinal features of bipolar disorder have proven difficult to establish in putative animal models of this illness. Recently, however, novel tools such as the human behavioral pattern monitor provide multivariate translational measures of motor and exploratory activity, enabling improved understanding of the neurobiology underlying psychiatric disorders.

Philanthropic Due Diligence: Exploratory Case Studies To Improve Investments in Urban Schools.

ERIC Educational Resources Information Center

Campbell, Christine; Harvey, James; DeArmond, Michael

This paper is designed to help funders avoid some of the pitfalls of embarking on major reform efforts in troubled urban districts, proposing exploratory case studies as a tool to improve philanthropic giving. The paper explains what is behind the two major flaws of philanthropic investment (not knowing how one thinks schools will improve and not…

An Exploratory Study of Residents' Perception of Place Image: The Case of Kavala.

PubMed

Stylidis, Dimitrios; Sit, Jason; Biran, Avital

2016-05-01

Studies on place image have predominantly focused on the tourists' destination image and have given limited attention to other stakeholders' perspectives. This study aims to address this gap by focusing on the notion of residents' place image, whereby it reviews existing literature on residents' place image in terms of whether common attributes can be identified, and examines the role of community-focused attributes in its measurement. Data collected from a sample of 481 Kavala residents (Greece) were subjected to exploratory and confirmatory factor analysis. The study reveals that the existing measurement tools have typically emphasized destination-focused attributes and neglected community-focused attributes. This study contributes to the residents' place image research by proposing a more holistic measurement, which consisted of four dimensions: physical appearance, community services, social environment, and entertainment opportunities. The study also offers practical insights for developing and promoting a tourist place while simultaneously enhancing its residents' quality of life.

An Exploratory Study of Residents’ Perception of Place Image

PubMed Central

Stylidis, Dimitrios; Sit, Jason; Biran, Avital

2014-01-01

Studies on place image have predominantly focused on the tourists’ destination image and have given limited attention to other stakeholders’ perspectives. This study aims to address this gap by focusing on the notion of residents’ place image, whereby it reviews existing literature on residents’ place image in terms of whether common attributes can be identified, and examines the role of community-focused attributes in its measurement. Data collected from a sample of 481 Kavala residents (Greece) were subjected to exploratory and confirmatory factor analysis. The study reveals that the existing measurement tools have typically emphasized destination-focused attributes and neglected community-focused attributes. This study contributes to the residents’ place image research by proposing a more holistic measurement, which consisted of four dimensions: physical appearance, community services, social environment, and entertainment opportunities. The study also offers practical insights for developing and promoting a tourist place while simultaneously enhancing its residents’ quality of life. PMID:29708109

Modeling with Young Students--Quantitative and Qualitative.

ERIC Educational Resources Information Center

Bliss, Joan; Ogborn, Jon; Boohan, Richard; Brosnan, Tim; Mellar, Harvey; Sakonidis, Babis

1999-01-01

A project created tasks and tools to investigate quality and nature of 11- to 14-year-old pupils' reasoning with quantitative and qualitative computer-based modeling tools. Tasks and tools were used in two innovative modes of learning: expressive, where pupils created their own models, and exploratory, where pupils investigated an expert's model.…

Social Networking Tools for Academic Libraries

ERIC Educational Resources Information Center

Chu, Samuel Kai-Wah; Du, Helen S.

2013-01-01

This is an exploratory study investigating the use of social networking tools in academic libraries, examining the extent of their use, library staff's perceptions of their usefulness and challenges, and factors influencing decisions to use or not to use such tools. Invitations to participate in a web-based survey were sent to 140 university…

Measurement of participation: intersecting person, task, and environment.

PubMed

Mallinson, Trudy; Hammel, Joy

2010-09-01

The goals of this article are to describe participation as a transaction and issues involved in measuring and intervening using this transactional approach; describe ecologic and systems-based theoretic approaches for conceptualizing person-task-environment transactions; and illustrate examples of an exploratory strategy, radar plots, as a clinical tool for rehabilitation professionals to show this interaction and use it to inform participation-focused interventions with people with disabilities in rehabilitation settings. Participation necessarily occurs at the intersection of what the person can do, wants to do, has the opportunity to do, and is not prevented from doing. It is a transaction that occurs at the nexus of the person-task-environment. Measurement of participation should capture this transactive nature. Radar plots are part of a group of graphic displays frequently referred to as exploratory data analysis. In situations in which theory is not well developed, exploratory techniques such as radar plots may hold promise as ways to explore better the relationship among variables. This article describes strengths and limitations of radar plots and presents an example with data from the Community Participation Database. Copyright 2010 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.

C-SPADE: a web-tool for interactive analysis and visualization of drug screening experiments through compound-specific bioactivity dendrograms

PubMed Central

Alam, Zaid; Peddinti, Gopal

2017-01-01

Abstract The advent of polypharmacology paradigm in drug discovery calls for novel chemoinformatic tools for analyzing compounds’ multi-targeting activities. Such tools should provide an intuitive representation of the chemical space through capturing and visualizing underlying patterns of compound similarities linked to their polypharmacological effects. Most of the existing compound-centric chemoinformatics tools lack interactive options and user interfaces that are critical for the real-time needs of chemical biologists carrying out compound screening experiments. Toward that end, we introduce C-SPADE, an open-source exploratory web-tool for interactive analysis and visualization of drug profiling assays (biochemical, cell-based or cell-free) using compound-centric similarity clustering. C-SPADE allows the users to visually map the chemical diversity of a screening panel, explore investigational compounds in terms of their similarity to the screening panel, perform polypharmacological analyses and guide drug-target interaction predictions. C-SPADE requires only the raw drug profiling data as input, and it automatically retrieves the structural information and constructs the compound clusters in real-time, thereby reducing the time required for manual analysis in drug development or repurposing applications. The web-tool provides a customizable visual workspace that can either be downloaded as figure or Newick tree file or shared as a hyperlink with other users. C-SPADE is freely available at http://cspade.fimm.fi/. PMID:28472495

Conjoint Community Resiliency Assessment Measure-28/10 items (CCRAM28 and CCRAM10): A self-report tool for assessing community resilience.

PubMed

Leykin, Dmitry; Lahad, Mooli; Cohen, Odeya; Goldberg, Avishay; Aharonson-Daniel, Limor

2013-12-01

Community resilience is used to describe a community's ability to deal with crises or disruptions. The Conjoint Community Resiliency Assessment Measure (CCRAM) was developed in order to attain an integrated, multidimensional instrument for the measurement of community resiliency. The tool was developed using an inductive, exploratory, sequential mixed methods design. The objective of the present study was to portray and evaluate the CCRAM's psychometric features. A large community sample (N = 1,052) were assessed by the CCRAM tool, and the data was subjected to exploratory and confirmatory factor analysis. A Five factor model (21 items) was obtained, explaining 67.67 % of the variance. This scale was later reduced to 10-item brief instrument. Both scales showed good internal consistency coefficients (α = .92 and α = .85 respectively), and acceptable fit indices to the data. Seven additional items correspond to information requested by leaders, forming the CCRAM28. The CCRAM has been shown to be an acceptable practical tool for assessing community resilience. Both internal and external validity have been demonstrated, as all factors obtained in the factor analytical process, were tightly linked to previous literature on community resilience. The CCRAM facilitates the estimation of an overall community resiliency score but furthermore, it detects the strength of five important constructs of community function following disaster: Leadership, Collective Efficacy, Preparedness, Place Attachment and Social Trust. Consequently, the CCRAM can serve as an aid for community leaders to assess, monitor, and focus actions to enhance and restore community resilience for crisis situations.

Assessment of psychometric properties of a modified PHEEM questionnaire.

PubMed

Gooneratne, I K; Munasinghe, S R; Siriwardena, C; Olupeliyawa, A M; Karunathilake, I

2008-12-01

An effective tool in analysing the learning environment, customised to the Sri Lankan setting, is vital for the assessment and delivery of quality healthcare training of preregistration house officers. Such a tool should be reliable and valid. We assessed psychometric properties such as internal reliability and construct validity of a modified version of the Postgraduate Hospital Educational Environment Measure (PHEEM). A modified PHEEM questionnaire customised to the Sri Lankan context was developed in accordance to the Sri Lanka Medical Council guidelines. The questionnaire was distributed to all interns at the National Hospital of Sri Lanka, Colombo North Teaching Hospital and Wathupitiwala Base Hospital during a calendar year (n = 100, response rate = 86%). Internal reliability and construct validity of the inventory were assessed by using Cronbach's alpha and exploratory factor analysis respectively as statistical methods. PHEEM consists of 3 subscales: perceptions of autonomy, social support and teaching, which are factors perceived to be influencing the educational environment. This administration demonstrated high internal reliability as reflected by a Cronbach's alpha value of 0.84. Exploratory factor analysis identified 12 factors with eigenvalue >1. However, the first factor had an eigenvalue of 6.7 (accounting for 19.7% of variance), while the rest had eigenvalues < 2.5. These results suggest a single predictive factor and thus a one-dimensional scale as opposed to the three-dimensional scale which is used in the current questionnaire. The psychometric properties of this tool reflect a high degree of internal reliability in assessing the educational environment of intern doctors in Sri Lanka. It is possible that the clinical educational environment is collectively represented as a single dimension. This may be due to the complex interplay between individual items in the questionnaire. Therefore the psychometric properties do not justify the interpretation of the educational environment through specified subscales.

Exploratory Factor Analysis of NRG Oncology's University of Washington Quality of Life Questionnaire – RTOG Modification

PubMed Central

Pugh, Stephanie L.; Wyatt, Gwen; Wong, Raimond K. W.; Sagar, Stephen M.; Yueh, Bevan; Singh, Anurag K.; Yao, Min; Nguyen-Tan, Phuc Felix; Yom, Sue S.; Cardinale, Francis S.; Sultanem, Khalil; Hodson, D. Ian; Krempl, Greg A.; Chavez, Ariel; Yeh, Alexander M.; Bruner, Deborah W.

2016-01-01

Context The 15-item University of Washington Quality of Life questionnaire – Radiation Therapy Oncology Group (RTOG) modification (UW-QOL-RTOG modification) has been used in several trials of head and neck cancer conducted by NRG Oncology such as RTOG 9709, RTOG 9901, RTOG 0244, and RTOG 0537. Objectives This study is an exploratory factor analysis (EFA) to establish validity and reliability of the instrument subscales. Methods EFA on the UW-QOL - RTOG modification was conducted using baseline data from NRG Oncology's RTOG 0537, a trial of acupuncture-like transcutaneous electrical nerve stimulation in treating radiation-induced xerostomia. Cronbach's α coefficient was calculated to measure reliability; correlation with the University of Michigan Xerostomia Related Quality of Life Scale (XeQOLS) was used to evaluate concurrent validity; and correlations between consecutive time points were used to assess test-retest reliability. Results The 15-item EFA of the modified tool resulted in 11 items split into 4 factors: mucus, eating, pain, and activities. Cronbach's α ranged from 0.71 to 0.93 for the factors and total score, consisting of all 11 items. There were strong correlations (ρ≥0.60) between consecutive time points and between total score and the XeQOLS total score (ρ>0.65). Conclusion The UW-QOL-RTOG modification is a valid tool that can be used to assess symptom burden of head and neck cancer patients receiving radiation therapy or those who have recently completed radiation. The modified tool has acceptable reliability, concurrent validity, and test-retest reliability in this patient population, as well as the advantage of having being shortened from 15 to 11 items. PMID:27899312

Development and validation of the Smartphone Addiction Inventory (SPAI).

PubMed

Lin, Yu-Hsuan; Chang, Li-Ren; Lee, Yang-Han; Tseng, Hsien-Wei; Kuo, Terry B J; Chen, Sue-Huei

2014-01-01

The aim of this study was to develop a self-administered scale based on the special features of smartphone. The reliability and validity of the Smartphone Addiction Inventory (SPAI) was demonstrated. A total of 283 participants were recruited from Dec. 2012 to Jul. 2013 to complete a set of questionnaires, including a 26-item SPAI modified from the Chinese Internet Addiction Scale and phantom vibration and ringing syndrome questionnaire. There were 260 males and 23 females, with ages 22.9 ± 2.0 years. Exploratory factor analysis, internal-consistency test, test-retest, and correlation analysis were conducted to verify the reliability and validity of the SPAI. Correlations between each subscale and phantom vibration and ringing were also explored. Exploratory factor analysis yielded four factors: compulsive behavior, functional impairment, withdrawal and tolerance. Test-retest reliabilities (intraclass correlations  = 0.74-0.91) and internal consistency (Cronbach's α = 0.94) were all satisfactory. The four subscales had moderate to high correlations (0.56-0.78), but had no or very low correlation to phantom vibration/ringing syndrome. This study provides evidence that the SPAI is a valid and reliable, self-administered screening tool to investigate smartphone addiction. Phantom vibration and ringing might be independent entities of smartphone addiction.

Spatio-temporal analysis of small-area intestinal parasites infections in Ghana.

PubMed

Osei, F B; Stein, A

2017-09-22

Intestinal parasites infection is a major public health burden in low and middle-income countries. In Ghana, it is amongst the top five morbidities. In order to optimize scarce resources, reliable information on its geographical distribution is needed to guide periodic mass drug administration to populations of high risk. We analyzed district level morbidities of intestinal parasites between 2010 and 2014 using exploratory spatial analysis and geostatistics. We found a significantly positive Moran's Index of spatial autocorrelation for each year, suggesting that adjoining districts have similar risk levels. Using local Moran's Index, we found high-high clusters extending towards the Guinea and Sudan Savannah ecological zones, whereas low-low clusters extended within the semi-deciduous forest and transitional ecological zones. Variograms indicated that local and regional scale risk factors modulate the variation of intestinal parasites. Poisson kriging maps showed smoothed spatially varied distribution of intestinal parasites risk. These emphasize the need for a follow-up investigation into the exact determining factors modulating the observed patterns. The findings also underscored the potential of exploratory spatial analysis and geostatistics as tools for visualizing the spatial distribution of small area intestinal worms infections.

Measuring Integration of Cancer Services to Support Performance Improvement: The CSI Survey

PubMed Central

Dobrow, Mark J.; Paszat, Lawrence; Golden, Brian; Brown, Adalsteinn D.; Holowaty, Eric; Orchard, Margo C.; Monga, Neerav; Sullivan, Terrence

2009-01-01

Objective: To develop a measure of cancer services integration (CSI) that can inform clinical and administrative decision-makers in their efforts to monitor and improve cancer system performance. Methods: We employed a systematic approach to measurement development, including review of existing cancer/health services integration measures, key-informant interviews and focus groups with cancer system leaders. The research team constructed a Web-based survey that was field- and pilot-tested, refined and then formally conducted on a sample of cancer care providers and administrators in Ontario, Canada. We then conducted exploratory factor analysis to identify key dimensions of CSI. Results: A total of 1,769 physicians, other clinicians and administrators participated in the survey, responding to a 67-item questionnaire. The exploratory factor analysis identified 12 factors that were linked to three broader dimensions: clinical, functional and vertical system integration. Conclusions: The CSI Survey provides important insights on a range of typically unmeasured aspects of the coordination and integration of cancer services, representing a new tool to inform performance improvement efforts. PMID:20676250

Adaptation of an Acculturation Scale for African Refugee Women

PubMed Central

Flynn, Priscilla; Asiedu, Gladys B.; Hedberg, Eric; Breitkopf, Carmen Radecki

2014-01-01

Newly-arrived African refugees are a vulnerable group of immigrants for whom no validated acculturation measures exist. A valid measurement tool is essential to understand how acculturative processes impact health and health disparities. We adapted the Bicultural Involvement Questionnaire (BIQ) to characterize its reliability among ethnic Somali women residing in Minnesota, and Somali, Somali Bantu, and Burundian women in Arizona. Surveys were administered to 164 adult women. Analyses were conducted along socio-demographic variables of ethnicity, geographic residence, age, and length of time in the United States through t tests and one-way analysis of variance. Exploratory factor analysis was conducted on the modified BIQ. Exploratory factor analyses yielded five subscales: “Speak Native Language”, “Speak English Language”, “Enjoy Native Activities”, “Enjoy American Activities”, and “Desired Ideal Culture”. The subscales of the modified BIQ possessed Cronbach’s α ranging from 0.68 to 0.92, suggestive that all subscales had acceptable to excellent internal consistency. The modified BIQ maintained its psychometric properties across geographic regions of resettled Central and East African refugees. PMID:24573644

WHAM!: a web-based visualization suite for user-defined analysis of metagenomic shotgun sequencing data.

PubMed

Devlin, Joseph C; Battaglia, Thomas; Blaser, Martin J; Ruggles, Kelly V

2018-06-25

Exploration of large data sets, such as shotgun metagenomic sequence or expression data, by biomedical experts and medical professionals remains as a major bottleneck in the scientific discovery process. Although tools for this purpose exist for 16S ribosomal RNA sequencing analysis, there is a growing but still insufficient number of user-friendly interactive visualization workflows for easy data exploration and figure generation. The development of such platforms for this purpose is necessary to accelerate and streamline microbiome laboratory research. We developed the Workflow Hub for Automated Metagenomic Exploration (WHAM!) as a web-based interactive tool capable of user-directed data visualization and statistical analysis of annotated shotgun metagenomic and metatranscriptomic data sets. WHAM! includes exploratory and hypothesis-based gene and taxa search modules for visualizing differences in microbial taxa and gene family expression across experimental groups, and for creating publication quality figures without the need for command line interface or in-house bioinformatics. WHAM! is an interactive and customizable tool for downstream metagenomic and metatranscriptomic analysis providing a user-friendly interface allowing for easy data exploration by microbiome and ecological experts to facilitate discovery in multi-dimensional and large-scale data sets.

CADDIS Volume 4. Data Analysis: Exploratory Data Analysis

EPA Pesticide Factsheets

Intro to exploratory data analysis. Overview of variable distributions, scatter plots, correlation analysis, GIS datasets. Use of conditional probability to examine stressor levels and impairment. Exploring correlations among multiple stressors.

Data Visualization: An Exploratory Study into the Software Tools Used by Businesses

ERIC Educational Resources Information Center

Diamond, Michael; Mattia, Angela

2017-01-01

Data visualization is a key component to business and data analytics, allowing analysts in businesses to create tools such as dashboards for business executives. Various software packages allow businesses to create these tools in order to manipulate data for making informed business decisions. The focus is to examine what skills employers are…

Data Visualization: An Exploratory Study into the Software Tools Used by Businesses

ERIC Educational Resources Information Center

Diamond, Michael; Mattia, Angela

2015-01-01

Data visualization is a key component to business and data analytics, allowing analysts in businesses to create tools such as dashboards for business executives. Various software packages allow businesses to create these tools in order to manipulate data for making informed business decisions. The focus is to examine what skills employers are…

Cross-species assessments of Motor and Exploratory Behavior related to Bipolar Disorder

PubMed Central

Henry, Brook L.; Minassian, Arpi; Young, Jared W.; Paulus, Martin P.; Geyer, Mark A.; Perry, William

2010-01-01

Alterations in exploratory behavior are a fundamental feature of bipolar mania, typically characterized as motor hyperactivity and increased goal-directed behavior in response to environmental cues. In contrast, abnormal exploration associated with schizophrenia and depression can manifest as prominent withdrawal, limited motor activity, and inattention to the environment. While motor abnormalities are cited frequently as clinical manifestations of these disorders, relatively few empirical studies have quantified human exploratory behavior. This article reviews the literature characterizing motor and exploratory behavior associated with bipolar disorder and genetic and pharmacological animal models of the illness. Despite sophisticated assessment of exploratory behavior in rodents, objective quantification of human motor activity has been limited primarily to actigraphy studies with poor cross-species translational value. Furthermore, symptoms that reflect the cardinal features of bipolar disorder have proven difficult to establish in putative animal models of this illness. Recently, however, novel tools such as the Human Behavioral Pattern Monitor provide multivariate translational measures of motor and exploratory activity, enabling improved understanding of the neurobiology underlying psychiatric disorders. PMID:20398694

Global Search Trends of Oral Problems using Google Trends from 2004 to 2016: An Exploratory Analysis.

PubMed

Patthi, Basavaraj; Kumar, Jishnu Krishna; Singla, Ashish; Gupta, Ritu; Prasad, Monika; Ali, Irfan; Dhama, Kuldeep; Niraj, Lav Kumar

2017-09-01

Oral diseases are pandemic cause of morbidity with widespread geographic distribution. This technology based era has brought about easy knowledge transfer than traditional dependency on information obtained from family doctors. Hence, harvesting this system of trends can aid in oral disease quantification. To conduct an exploratory analysis of the changes in internet search volumes of oral diseases by using Google Trends © (GT © ). GT © were utilized to provide real world facts based on search terms related to categories, interest by region and interest over time. Time period chosen was from January 2004 to December 2016. Five different search terms were explored and compared based on the highest relative search volumes along with comma separated value files to obtain an insight into highest search traffic. The search volume measured over the time span noted the term "Dental caries" to be the most searched in Japan, "Gingivitis" in Jordan, "Oral Cancer" in Taiwan, "No Teeth" in Australia, "HIV symptoms" in Zimbabwe, "Broken Teeth" in United Kingdom, "Cleft palate" in Philippines, "Toothache" in Indonesia and the comparison of top five searched terms provided the "Gingivitis" with highest search volume. The results from the present study offers an insight into a competent tool that can analyse and compare oral diseases over time. The trend research platform can be used on emerging diseases and their drift in geographic population with great acumen. This tool can be utilized in forecasting, modulating marketing strategies and planning disability limitation techniques.

Validation of Medical Tourism Service Quality Questionnaire (MTSQQ) for Iranian Hospitals.

PubMed

Qolipour, Mohammad; Torabipour, Amin; Khiavi, Farzad Faraji; Malehi, Amal Saki

2017-03-01

Assessing service quality is one of the basic requirements to develop the medical tourism industry. There is no valid and reliable tool to measure service quality of medical tourism. This study aimed to determine the reliability and validity of a Persian version of medical tourism service quality questionnaire for Iranian hospitals. To validate the medical tourism service quality questionnaire (MTSQQ), a cross-sectional study was conducted on 250 Iraqi patients referred to hospitals in Ahvaz (Iran) from 2015. To design a questionnaire and determine its content validity, the Delphi Technique (3 rounds) with the participation of 20 medical tourism experts was used. Construct validity of the questionnaire was assessed through exploratory and confirmatory factor analysis. Reliability was assessed using Cronbach's alpha coefficient. Data were analyzed by Excel 2007, SPSS version18, and Lisrel l8.0 software. The content validity of the questionnaire with CVI=0.775 was confirmed. According to exploratory factor analysis, the MTSQQ included 31 items and 8 dimensions (tangibility, reliability, responsiveness, assurance, empathy, exchange and travel facilities, technical and infrastructure facilities and safety and security). Construct validity of the questionnaire was confirmed, based on the goodness of fit quantities of model (RMSEA=0.032, CFI= 0.98, GFI=0.88). Cronbach's alpha coefficient was 0.837 and 0.919 for expectation and perception questionnaire. The results of the study showed that the medical tourism SERVQUAL questionnaire with 31 items and 8 dimensions was a valid and reliable tool to measure service quality of medical tourism in Iranian hospitals.

Questioning context: a set of interdisciplinary questions for investigating contextual factors affecting health decision making

PubMed Central

Charise, Andrea; Witteman, Holly; Whyte, Sarah; Sutton, Erica J.; Bender, Jacqueline L.; Massimi, Michael; Stephens, Lindsay; Evans, Joshua; Logie, Carmen; Mirza, Raza M.; Elf, Marie

2011-01-01

Abstract Objective  To combine insights from multiple disciplines into a set of questions that can be used to investigate contextual factors affecting health decision making. Background  Decision‐making processes and outcomes may be shaped by a range of non‐medical or ‘contextual’ factors particular to an individual including social, economic, political, geographical and institutional conditions. Research concerning contextual factors occurs across many disciplines and theoretical domains, but few conceptual tools have attempted to integrate and translate this wide‐ranging research for health decision‐making purposes. Methods  To formulate this tool we employed an iterative, collaborative process of scenario development and question generation. Five hypothetical health decision‐making scenarios (preventative, screening, curative, supportive and palliative) were developed and used to generate a set of exploratory questions that aim to highlight potential contextual factors across a range of health decisions. Findings  We present an exploratory tool consisting of questions organized into four thematic domains – Bodies, Technologies, Place and Work (BTPW) – articulating wide‐ranging contextual factors relevant to health decision making. The BTPW tool encompasses health‐related scholarship and research from a range of disciplines pertinent to health decision making, and identifies concrete points of intersection between its four thematic domains. Examples of the practical application of the questions are also provided. Conclusions  These exploratory questions provide an interdisciplinary toolkit for identifying the complex contextual factors affecting decision making. The set of questions comprised by the BTPW tool may be applied wholly or partially in the context of clinical practice, policy development and health‐related research. PMID:21029277

APEX_SCOPE: A graphical user interface for visualization of multi-modal data in inter-disciplinary studies.

PubMed

Kanbar, Lara J; Shalish, Wissam; Precup, Doina; Brown, Karen; Sant'Anna, Guilherme M; Kearney, Robert E

2017-07-01

In multi-disciplinary studies, different forms of data are often collected for analysis. For example, APEX, a study on the automated prediction of extubation readiness in extremely preterm infants, collects clinical parameters and cardiorespiratory signals. A variety of cardiorespiratory metrics are computed from these signals and used to assign a cardiorespiratory pattern at each time. In such a situation, exploratory analysis requires a visualization tool capable of displaying these different types of acquired and computed signals in an integrated environment. Thus, we developed APEX_SCOPE, a graphical tool for the visualization of multi-modal data comprising cardiorespiratory signals, automated cardiorespiratory metrics, automated respiratory patterns, manually classified respiratory patterns, and manual annotations by clinicians during data acquisition. This MATLAB-based application provides a means for collaborators to view combinations of signals to promote discussion, generate hypotheses and develop features.

A tool for exploring space-time patterns: an animation user research.

PubMed

Ogao, Patrick J

2006-08-29

Ever since Dr. John Snow (1813-1854) used a case map to identify water well as the source of a cholera outbreak in London in the 1800s, the use of spatio-temporal maps have become vital tools in a wide range of disease mapping and control initiatives. The increasing use of spatio-temporal maps in these life-threatening sectors warrants that they are accurate, and easy to interpret to enable prompt decision making by health experts. Similar spatio-temporal maps are observed in urban growth and census mapping--all critical aspects a of a country's socio-economic development. In this paper, a user test research was carried out to determine the effectiveness of spatio-temporal maps (animation) in exploring geospatial structures encompassing disease, urban and census mapping. Three types of animation were used, namely; passive, interactive and inference-based animation, with the key differences between them being on the level of interactivity and complementary domain knowledge that each offers to the user. Passive animation maintains the view only status. The user has no control over its contents and dynamic variables. Interactive animation provides users with the basic media player controls, navigation and orientation tools. Inference-based animation incorporates these interactive capabilities together with a complementary automated intelligent view that alerts users to interesting patterns, trends or anomalies that may be inherent in the data sets. The test focussed on the role of animation passive and interactive capabilities in exploring space-time patterns by engaging test-subjects in thinking aloud evaluation protocol. The test subjects were selected from a geoinformatics (map reading, interpretation and analysis abilities) background. Every test-subject used each of the three types of animation and their performances for each session assessed. The results show that interactivity in animation is a preferred exploratory tool in identifying, interpreting and providing explanations about observed geospatial phenomena. Also, exploring geospatial data structures using animation is best achieved using provocative interactive tools such as was seen with the inference-based animation. The visual methods employed using the three types of animation are all related and together these patterns confirm the exploratory cognitive structure and processes for visualization tools. The generic types of animation as defined in this paper play a crucial role in facilitating the visualization of geospatial data. These animations can be created and their contents defined based on the user's presentational and exploratory needs. For highly explorative tasks, maintaining a link between the data sets and the animation is crucial to enabling a rich and effective knowledge discovery environment.

A tool for exploring space-time patterns : an animation user research

PubMed Central

Ogao, Patrick J

2006-01-01

Background Ever since Dr. John Snow (1813–1854) used a case map to identify water well as the source of a cholera outbreak in London in the 1800s, the use of spatio-temporal maps have become vital tools in a wide range of disease mapping and control initiatives. The increasing use of spatio-temporal maps in these life-threatening sectors warrants that they are accurate, and easy to interpret to enable prompt decision making by health experts. Similar spatio-temporal maps are observed in urban growth and census mapping – all critical aspects a of a country's socio-economic development. In this paper, a user test research was carried out to determine the effectiveness of spatio-temporal maps (animation) in exploring geospatial structures encompassing disease, urban and census mapping. Results Three types of animation were used, namely; passive, interactive and inference-based animation, with the key differences between them being on the level of interactivity and complementary domain knowledge that each offers to the user. Passive animation maintains the view only status. The user has no control over its contents and dynamic variables. Interactive animation provides users with the basic media player controls, navigation and orientation tools. Inference-based animation incorporates these interactive capabilities together with a complementary automated intelligent view that alerts users to interesting patterns, trends or anomalies that may be inherent in the data sets. The test focussed on the role of animation passive and interactive capabilities in exploring space-time patterns by engaging test-subjects in thinking aloud evaluation protocol. The test subjects were selected from a geoinformatics (map reading, interpretation and analysis abilities) background. Every test-subject used each of the three types of animation and their performances for each session assessed. The results show that interactivity in animation is a preferred exploratory tool in identifying, interpreting and providing explanations about observed geospatial phenomena. Also, exploring geospatial data structures using animation is best achieved using provocative interactive tools such as was seen with the inference-based animation. The visual methods employed using the three types of animation are all related and together these patterns confirm the exploratory cognitive structure and processes for visualization tools. Conclusion The generic types of animation as defined in this paper play a crucial role in facilitating the visualization of geospatial data. These animations can be created and their contents defined based on the user's presentational and exploratory needs. For highly explorative tasks, maintaining a link between the data sets and the animation is crucial to enabling a rich and effective knowledge discovery environment. PMID:16938138

[Tool for measuring occupational stress: a nurses' stress inventory].

PubMed

Stacciarini, J M; Tróccoli, B T

2000-12-01

We present an exploratory study aiming at constructing an inventory to measure occupational stress in nurses ("Inventário de Estresse em Enfermeiros"--IEE). A set of items was initially constructed from previously defined categories based on interviews with nurses and then improved through semantic analysis by referees and a pilot-test with nursing students. A sample of 461 nurses--workers from the public services of the Federal District--who answered the IEE was used in the study. Factorial analysis indicated the presence of a second-order global factor and three first-order factors: Interpersonal Relationships, Stressful Career Roles and Intrinsic Job Factors.

The Spectral Image Processing System (SIPS) - Interactive visualization and analysis of imaging spectrometer data

NASA Technical Reports Server (NTRS)

Kruse, F. A.; Lefkoff, A. B.; Boardman, J. W.; Heidebrecht, K. B.; Shapiro, A. T.; Barloon, P. J.; Goetz, A. F. H.

1993-01-01

The Center for the Study of Earth from Space (CSES) at the University of Colorado, Boulder, has developed a prototype interactive software system called the Spectral Image Processing System (SIPS) using IDL (the Interactive Data Language) on UNIX-based workstations. SIPS is designed to take advantage of the combination of high spectral resolution and spatial data presentation unique to imaging spectrometers. It streamlines analysis of these data by allowing scientists to rapidly interact with entire datasets. SIPS provides visualization tools for rapid exploratory analysis and numerical tools for quantitative modeling. The user interface is X-Windows-based, user friendly, and provides 'point and click' operation. SIPS is being used for multidisciplinary research concentrating on use of physically based analysis methods to enhance scientific results from imaging spectrometer data. The objective of this continuing effort is to develop operational techniques for quantitative analysis of imaging spectrometer data and to make them available to the scientific community prior to the launch of imaging spectrometer satellite systems such as the Earth Observing System (EOS) High Resolution Imaging Spectrometer (HIRIS).

Fighting Dark Networks: Using Social Network Analysis to Implement the Special Operations Targeting Process for Direct and Indirect Approaches

DTIC Science & Technology

2013-03-01

Wouter De Nooy, Andrej Mrvar and Vladimir Batagelj , Exploratory Social Network Analysis with Pajek, (New York: Cambridge University Press, 2005), 5...Granovetter, “The Strength of Weak Ties,” 1350–1368. 151 de Nooy, Mrvar , and Batagelj , Exploratory Social Network Analysis with Pajek, 151. 152...Spacetime Wrinkles Exhibit (1995). de Nooy, Wouter, Andrej Mrvar , and Vladimir Batagelj . Exploratory Social Network Analysis with Pajek. Cambridge

Built environment and Property Crime in Seattle, 1998-2000: A Bayesian Analysis.

PubMed

Matthews, Stephen A; Yang, Tse-Chuan; Hayslett-McCall, Karen L; Ruback, R Barry

2010-06-01

The past decade has seen a rapid growth in the use of a spatial perspective in studies of crime. In part this growth has been driven by the availability of georeferenced data, and the tools to analyze and visualize them: geographic information systems (GIS), spatial analysis, and spatial statistics. In this paper we use exploratory spatial data analysis (ESDA) tools and Bayesian models to help better understand the spatial patterning and predictors of property crime in Seattle, Washington for 1998-2000, including a focus on built environment variables. We present results for aggregate property crime data as well as models for specific property crime types: residential burglary, nonresidential burglary, theft, auto theft, and arson. ESDA confirms the presence of spatial clustering of property crime and we seek to explain these patterns using spatial Poisson models implemented in WinBUGS. Our results indicate that built environment variables were significant predictors of property crime, especially the presence of a highway on auto theft and burglary.

Built environment and Property Crime in Seattle, 1998–2000: A Bayesian Analysis

PubMed Central

Matthews, Stephen A.; Yang, Tse-chuan; Hayslett-McCall, Karen L.; Ruback, R. Barry

2014-01-01

The past decade has seen a rapid growth in the use of a spatial perspective in studies of crime. In part this growth has been driven by the availability of georeferenced data, and the tools to analyze and visualize them: geographic information systems (GIS), spatial analysis, and spatial statistics. In this paper we use exploratory spatial data analysis (ESDA) tools and Bayesian models to help better understand the spatial patterning and predictors of property crime in Seattle, Washington for 1998–2000, including a focus on built environment variables. We present results for aggregate property crime data as well as models for specific property crime types: residential burglary, nonresidential burglary, theft, auto theft, and arson. ESDA confirms the presence of spatial clustering of property crime and we seek to explain these patterns using spatial Poisson models implemented in WinBUGS. Our results indicate that built environment variables were significant predictors of property crime, especially the presence of a highway on auto theft and burglary. PMID:24737924

An analysis of pilot error-related aircraft accidents

NASA Technical Reports Server (NTRS)

Kowalsky, N. B.; Masters, R. L.; Stone, R. B.; Babcock, G. L.; Rypka, E. W.

1974-01-01

A multidisciplinary team approach to pilot error-related U.S. air carrier jet aircraft accident investigation records successfully reclaimed hidden human error information not shown in statistical studies. New analytic techniques were developed and applied to the data to discover and identify multiple elements of commonality and shared characteristics within this group of accidents. Three techniques of analysis were used: Critical element analysis, which demonstrated the importance of a subjective qualitative approach to raw accident data and surfaced information heretofore unavailable. Cluster analysis, which was an exploratory research tool that will lead to increased understanding and improved organization of facts, the discovery of new meaning in large data sets, and the generation of explanatory hypotheses. Pattern recognition, by which accidents can be categorized by pattern conformity after critical element identification by cluster analysis.

Exploring the barriers to and facilitators of implementing research into practice.

PubMed

Johnston, Bridget; Coole, Carol; Narayanasamy, Melanie; Feakes, Ruth; Whitworth, Gillian; Tyrell, Tracy; Hardy, Beth

2016-08-02

District and community nursing roles have changed rapidly in recent years. Community nurses are increasingly being tasked with carrying out multiple roles, which require them to put research into practice and use evidence-based tools and interventions. The implementation of interventions and tools needs to be developed from empirical research, requiring evidence, to be translated into practice. However, this process may be compromised or enhanced by a number of factors. This exploratory, descriptive qualitative study sought to identify barriers and facilitators to community nurses implementing research into practice. Four focus groups were conducted with registered community nurses and district nurses (n=22). Analysis identified four main themes: keeping up to date with evidence; using a clinical tool; education/training and implementation. Findings suggest that there are barriers at a personal, professional and organisational level. Strategies are suggested to overcome these obstacles.

Large High Resolution Displays for Co-Located Collaborative Sensemaking: Display Usage and Territoriality

DOE Office of Scientific and Technical Information (OSTI.GOV)

Bradel, Lauren; Endert, Alexander; Koch, Kristen

2013-08-01

Large, high-resolution vertical displays carry the potential to increase the accuracy of collaborative sensemaking, given correctly designed visual analytics tools. From an exploratory user study using a fictional textual intelligence analysis task, we investigated how users interact with the display to construct spatial schemas and externalize information, as well as how they establish shared and private territories. We investigated the space management strategies of users partitioned by type of tool philosophy followed (visualization- or text-centric). We classified the types of territorial behavior exhibited in terms of how the users interacted with information on the display (integrated or independent workspaces). Next,more » we examined how territorial behavior impacted the common ground between the pairs of users. Finally, we offer design suggestions for building future co-located collaborative visual analytics tools specifically for use on large, high-resolution vertical displays.« less

Measuring Practicing Clinicians' Information Literacy. An Exploratory Analysis in the Context of Panel Management.

PubMed

Dixon, Brian E; Barboza, Katherine; Jensen, Ashley E; Bennett, Katelyn J; Sherman, Scott E; Schwartz, Mark D

2017-02-15

As healthcare moves towards technology-driven population health management, clinicians must adopt complex digital platforms to access health information and document care. This study explored information literacy, a set of skills required to effectively navigate population health information systems, among primary care providers in one Veterans' Affairs (VA) medical center. Information literacy was assessed during an 8-month randomized trial that tested a population health (panel) management intervention. Providers were asked about their use and comfort with two VA digital tools for panel management at baseline, 16 weeks, and post-intervention. An 8-item scale (range 0-40) was used to measure information literacy (Cronbach's α=0.84). Scores between study arms and provider types were compared using paired t-tests and ANOVAs. Associations between self-reported digital tool use and information literacy were measured via Pearson's correlations. Providers showed moderate levels of information literacy (M= 27.4, SD 6.5). There were no significant differences in mean information literacy between physicians (M=26.4, SD 6.7) and nurses (M=30.5, SD 5.2, p=0.57 for difference), or between intervention (M=28.4, SD 6.5) and control groups (M=25.1, SD 6.2, p=0.12 for difference). Information literacy was correlated with higher rates of self-reported information system usage (r=0.547, p=0.001). Clinicians identified data access, accuracy, and interpretability as potential information literacy barriers. While exploratory in nature, cautioning generalizability, the study suggests that measuring and improving clinicians' information literacy may play a significant role in the implementation and use of digital information tools, as these tools are rapidly being deployed to enhance communication among care teams, improve health care outcomes, and reduce overall costs.

Einstein's Riddle as a Tool for Profiling Students

ERIC Educational Resources Information Center

Özeke, Vildan; Akçapina, Gökhan

2016-01-01

There are many computer games, learning environments, online tutoring systems or computerized tools which keeps the track of the user while learning or engaging in the activities. This paper presents results from an exploratory study and aims to group students regarding their behavior data while solving the Einstein's riddle. 45 undergraduate…

Enriching Classroom Learning through a Microblogging-Supported Activity

ERIC Educational Resources Information Center

Li, Kun; Darr, Kent; Gao, Fei

2018-01-01

Researchers have recognized the role that microblogging tools play in enhancing the effectiveness of communication and interaction in the classroom. However, few studies have specifically examined how to use microblogging tools to bring educational resources into the classroom to enrich the student learning experience. The exploratory case study…

Evaluating the Use of a Strengths-Based Development Tool with Head Teachers

ERIC Educational Resources Information Center

Cooper, Liz; Woods, Kevin

2017-01-01

This exploratory study investigated an educational psychologist's use of a strengths-based development tool with head teachers, in the context of influencing and supporting leaders in school organisations. Nine head teachers completed the "Realise2 Introductory Profile" online strengths assessment and then received a structured debrief…

Investigating Pedagogical Value of Wiki Technology

ERIC Educational Resources Information Center

Hazari, Sunil; North, Alexa; Moreland, Deborah

2009-01-01

This exploratory study investigates the potential of Wiki technology as a tool for teaching and learning. Wikis are a component of Web 2.0 technology tools that provide collaborative features and active learning opportunities in a web-based environment. This research study sought to empirically determine the pedagogical value of using Wiki…

Wonder as a Tool to Engage Preservice Elementary Teachers in Science Learning and Teaching

ERIC Educational Resources Information Center

Gilbert, Andrew; Byers, Christie C.

2017-01-01

This exploratory project considers the use of "wonder" as a pedagogical tool with preservice elementary teachers (PSETs). An ongoing vexation facing science teacher educators is helping future elementary teachers overcome anxiety and negative associations with science due to their own school science experiences, while simultaneously…

Is Small Still Beautiful for the Strengths and Difficulties Questionnaire? Novel Findings Using Exploratory Structural Equation Modeling.

PubMed

Garrido, Luis Eduardo; Barrada, Juan Ramón; Aguasvivas, José Armando; Martínez-Molina, Agustín; Arias, Víctor B; Golino, Hudson F; Legaz, Eva; Ferrís, Gloria; Rojo-Moreno, Luis

2018-06-01

During the present decade a large body of research has employed confirmatory factor analysis (CFA) to evaluate the factor structure of the Strengths and Difficulties Questionnaire (SDQ) across multiple languages and cultures. However, because CFA can produce strongly biased estimations when the population cross-loadings differ meaningfully from zero, it may not be the most appropriate framework to model the SDQ responses. With this in mind, the current study sought to assess the factorial structure of the SDQ using the more flexible exploratory structural equation modeling approach. Using a large-scale Spanish sample composed of 67,253 youths aged between 10 and 18 years ( M = 14.16, SD = 1.07), the results showed that CFA provided a severely biased and overly optimistic assessment of the underlying structure of the SDQ. In contrast, exploratory structural equation modeling revealed a generally weak factorial structure, including questionable indicators with large cross-loadings, multiple error correlations, and significant wording variance. A subsequent Monte Carlo study showed that sample sizes greater than 4,000 would be needed to adequately recover the SDQ loading structure. The findings from this study prevent recommending the SDQ as a screening tool and suggest caution when interpreting previous results in the literature based on CFA modeling.

Development and validation of a tool to assess knowledge and attitudes towards generic medicines among students in Greece: The ATtitude TOwards GENerics (ATTOGEN) questionnaire

PubMed Central

Katsari, Vasiliki; Niakas, Dimitris

2017-01-01

Introduction The use of generic medicines is a cost-effective policy, often dictated by fiscal restraints. To our knowledge, no fully validated tool exploring the students’ knowledge and attitudes towards generic medicines exists. The aim of our study was to develop and validate a questionnaire exploring the knowledge and attitudes of M.Sc. in Health Care Management students and recent alumni’s towards generic drugs in Greece. Materials and methods The development of the questionnaire was a result of literature review and pilot-testing of its preliminary versions to researchers and students. The final version of the questionnaire contains 18 items measuring the respondents’ knowledge and attitude towards generic medicines on a 5-point Likert scale. Given the ordinal nature of the data, ordinal alpha and polychoric correlations were computed. The sample was randomly split into two halves. Exploratory factor analysis, performed in the first sample, was used for the creation of multi-item scales. Confirmatory factor analysis and Generalized Linear Latent and Mixed Model analysis (GLLAMM) with the use of the rating scale model were used in the second sample to assess goodness of fit. An assessment of internal consistency reliability, test-retest reliability, and construct validity was also performed. Results Among 1402 persons contacted, 986 persons completed our questionnaire (response rate = 70.3%). Overall Cronbach’s alpha was 0.871. The conjoint use of exploratory and confirmatory factor analysis resulted in a six-scale model, which seemed to fit the data well. Five of the six scales, namely trust, drug quality, state audit, fiscal impact and drug substitution were found to be valid and reliable, while the knowledge scale suffered only from low inter-scale correlations and a ceiling effect. However, the subsequent confirmatory factor and GLLAMM analyses indicated a good fit of the model to the data. Conclusions The ATTOGEN instrument proved to be a reliable and valid tool, suitable for assessing students’ knowledge and attitudes towards generic medicines. PMID:29186163

Development and validation of the Nursing Workplace Satisfaction Questionnaire (NWSQ).

PubMed

Fairbrother, Greg; Jones, Aaron; Rivas, Ketty

A nursing job satisfaction questionnaire was designed by a project group of nurses seeking a suitable job satisfaction measure to track as an outcome in a large Sydney hospital-wide models of nursing care project. Existing tools were rejected by the group as overly lengthy, US-biased and over-using respondent assessment of the character of the work environment as a proxy for job satisfaction, or happiness at work. A one-page, 14-item tool was developed after instrument reviewing and facilitated groupwork. The tool reduces to three measurable domains: intrinsic, extrinsic and relational job satisfaction. Exploratory factor analysis (n = 220 responses) confirmed the validity of this 'three-way' conceptualisation of nursing job satisfaction. Internal consistency analysis on a larger sample of responses (n = 459) yielded high Cronbach's Alpha values for all three domains and for the total overall, suggesting a stable and reliable measure. The NWSQ is short, one page, sensibly worded for Australian conditions and yields scoring against three validated domains. It holds significant potential utility as a standard metric for prospective ward-based or institution-wide performance trending.

The Berlin Inventory of Gambling behavior - Screening (BIG-S): Validation using a clinical sample.

PubMed

Wejbera, Martin; Müller, Kai W; Becker, Jan; Beutel, Manfred E

2017-05-18

Published diagnostic questionnaires for gambling disorder in German are either based on DSM-III criteria or focus on aspects other than life time prevalence. This study was designed to assess the usability of the DSM-IV criteria based Berlin Inventory of Gambling Behavior Screening tool in a clinical sample and adapt it to DSM-5 criteria. In a sample of 432 patients presenting for behavioral addiction assessment at the University Medical Center Mainz, we checked the screening tool's results against clinical diagnosis and compared a subsample of n=300 clinically diagnosed gambling disorder patients with a comparison group of n=132. The BIG-S produced a sensitivity of 99.7% and a specificity of 96.2%. The instrument's unidimensionality and the diagnostic improvements of DSM-5 criteria were verified by exploratory and confirmatory factor analysis as well as receiver operating characteristic analysis. The BIG-S is a reliable and valid screening tool for gambling disorder and demonstrated its concise and comprehensible operationalization of current DSM-5 criteria in a clinical setting.

The Dream Property Scale: an exploratory English version.

PubMed

Takeuchi, T; Ogilvie, R D; Ferrelli, A V; Murphy, T I; Belicki, K

2001-09-01

Our goal is to develop an English version of the Dream Property Scale (DPS-E) based on the original normed scale in Japan (DPS-J). Factor analyses extracted four factors (Emotionality, Rationality, Activity, and Impression) and its factor structure was apparently similar to the DPS-J. The DPS-E was also shown to be related to EEG power spectral values. These results indicate that the DPS-E may provide an exploratory basis for a reliable and valid tool for capturing and quantifying the properties of dream experiences that could reflect physiological activities without the intervention of experimenters. We suggest that the DPS-E will develop into a useful tool to help clarify dream production mechanisms by further investigation. Copyright 2001 Academic Press.

PyCoTools: A Python Toolbox for COPASI.

PubMed

Welsh, Ciaran M; Fullard, Nicola; Proctor, Carole J; Martinez-Guimera, Alvaro; Isfort, Robert J; Bascom, Charles C; Tasseff, Ryan; Przyborski, Stefan A; Shanley, Daryl P

2018-05-22

COPASI is an open source software package for constructing, simulating and analysing dynamic models of biochemical networks. COPASI is primarily intended to be used with a graphical user interface but often it is desirable to be able to access COPASI features programmatically, with a high level interface. PyCoTools is a Python package aimed at providing a high level interface to COPASI tasks with an emphasis on model calibration. PyCoTools enables the construction of COPASI models and the execution of a subset of COPASI tasks including time courses, parameter scans and parameter estimations. Additional 'composite' tasks which use COPASI tasks as building blocks are available for increasing parameter estimation throughput, performing identifiability analysis and performing model selection. PyCoTools supports exploratory data analysis on parameter estimation data to assist with troubleshooting model calibrations. We demonstrate PyCoTools by posing a model selection problem designed to show case PyCoTools within a realistic scenario. The aim of the model selection problem is to test the feasibility of three alternative hypotheses in explaining experimental data derived from neonatal dermal fibroblasts in response to TGF-β over time. PyCoTools is used to critically analyse the parameter estimations and propose strategies for model improvement. PyCoTools can be downloaded from the Python Package Index (PyPI) using the command 'pip install pycotools' or directly from GitHub (https://github.com/CiaranWelsh/pycotools). Documentation at http://pycotools.readthedocs.io. Supplementary data are available at Bioinformatics.

A feasibility study of short message service text messaging as a surveillance tool for alcohol consumption and vehicle for interventions in university students

PubMed Central

2013-01-01

Background Practitioners who come into contact with the intoxicated, such as those in unscheduled care, often have limited resources to provide structured interventions. There is therefore a need for cost-effective alcohol interventions requiring minimal input. This study assesses the barriers, acceptability and validity of text messaging to collect daily alcohol consumption data and explores the feasibility of a text-delivered intervention in an exploratory randomised controlled trial. Methods Study I. Participants (n = 82) completed the initial online screening survey and those eligible were asked each day, for 157 days via text message, to reply with the number of alcohol units consumed the previous day. Analyses compared standard measures of hazardous consumption with self-report alcohol use. Attrition and sampling biases were examined. Study I included secondary exploratory analyses using data from 70 participants to determine associations between events (including Christmas and other celebratory occasions) and consumption. Study I further included the thematic analysis of semi-structured interview data and assessed the feasibility of and barriers to surveillance and interventions delivered through text messaging. Developing findings from Study I, Study II developed an exploratory randomised control trial that delivered a single message on monthly alcohol expenditure in order to assess effect size and test generalisability. Results Self-report alcohol consumption data was significantly associated with FAST and AUDIT scores. Attrition from the study was not associated with greater alcohol use. Greater alcohol use was observed on Fridays, Saturdays and Wednesdays as were notable celebratory events. Interview data indicated that text messaging was acceptable to participants and preferred over email and web-based methods. The exploratory randomised controlled trial suggested that a simple text delivered intervention might be effective in eliciting a reduction in alcohol consumption in a future trial. Conclusions The ubiquity of mobile telephones and the acceptability of text messaging suggests that this approach can be developed as a surveillance tool to collect high frequency consumption data to identify periods of vulnerability and that it can offer a platform through which targeted interventions can be delivered. PMID:24160674

Establishing an effective TMS protocol for craving in substance addiction: Is it possible?

PubMed

Enokibara, Mailu; Trevizol, Alisson; Shiozawa, Pedro; Cordeiro, Quirino

2016-01-01

Repetitive transcranial magnetic stimulation (TMS) is a non-invasive tool with known therapeutic efficacy in various neuropsychiatric disorders, such as depression, schizophrenia, mania, and anxiety disorders. We hereby, briefly present a brief review and meta-analysis on the use of TMS for craving in substance addiction. We present our brief review and meta-analysis following the recommendations of the Cochrane group. A total of eight randomized controlled trials fulfilled eligibility criteria and were selected. A total of 199 patients were studied. We found active stimulation to be superior than sham protocols only for trials focused on right DLPFC (with Hedge's g = 1.48; ES (95%CI: 0.126-2.834), p = 0.032. Main meta-analysis limitations include small number of studies, high heterogeneity among studies, and high publication bias. However challenging, our exploratory analysis underscored the amelioration of craving in substance addiction for trials using high frequency TMS protocols over the right DLPFC. We hereby, propose the use of this particular TMS protocol as a promising tool in clinical research. © American Academy of Addiction Psychiatry.

Development and Validation of the Smartphone Addiction Inventory (SPAI)

PubMed Central

Lin, Yu-Hsuan; Chang, Li-Ren; Lee, Yang-Han; Tseng, Hsien-Wei; Kuo, Terry B. J.; Chen, Sue-Huei

2014-01-01

Objective The aim of this study was to develop a self-administered scale based on the special features of smartphone. The reliability and validity of the Smartphone Addiction Inventory (SPAI) was demonstrated. Methods A total of 283 participants were recruited from Dec. 2012 to Jul. 2013 to complete a set of questionnaires, including a 26-item SPAI modified from the Chinese Internet Addiction Scale and phantom vibration and ringing syndrome questionnaire. There were 260 males and 23 females, with ages 22.9±2.0 years. Exploratory factor analysis, internal-consistency test, test-retest, and correlation analysis were conducted to verify the reliability and validity of the SPAI. Correlations between each subscale and phantom vibration and ringing were also explored. Results Exploratory factor analysis yielded four factors: compulsive behavior, functional impairment, withdrawal and tolerance. Test–retest reliabilities (intraclass correlations  = 0.74–0.91) and internal consistency (Cronbach's α = 0.94) were all satisfactory. The four subscales had moderate to high correlations (0.56–0.78), but had no or very low correlation to phantom vibration/ringing syndrome. Conclusion This study provides evidence that the SPAI is a valid and reliable, self-administered screening tool to investigate smartphone addiction. Phantom vibration and ringing might be independent entities of smartphone addiction. PMID:24896252

Establishing a Measurement Tool for a Nursing Work Environment in Taiwan.

PubMed

Lin, Li-Chiu; Lee, Huan-Fang; Yen, Miaofen

2017-02-01

The nursing work environment is a critical global health care problem. Many health care providers are concerned about the associations between the nursing work environment and the outcomes of organizations, nurses, and patients. Nursing work environment instruments have been assessed in the West but have not been considered in Asia. However, different cultures will affect the factorial structure of the tool. Using a stratified nationwide random sample, we created a measurement tool for the nursing work environment in Taiwan. The Nursing Work Environment Index-Revised Scale and the Essentials of Magnetism scale were used to examine the factorial structure. Item analysis, exploratory factor analysis, and confirmatory factor analysis were used to examine the hypothesis model and generate a new factorial structure. The Taiwan Nursing Work Environment Index (TNWEI) was established to evaluate the nursing work environment in Taiwan. The four factors were labeled "Organizational Support" (7 items), "Nurse Staffing and Resources" (4 items), "Nurse-Physician Collaboration" (4 items), and "Support for Continuing Education" (4 items). The 19 items explained 58.5% of the variance. Confirmatory factor analysis showed a good fit to the model (x2/df = 5.99; p < .05, goodness of fit index [GFI] = .90; RMSEA = .07). The TNWEI provides a comprehensive and efficient method for measuring the nurses' work environment in Taiwan.

Exploratory Model Analysis of the Space Based Infrared System (SBIRS) Low Global Scheduler Problem

DTIC Science & Technology

1999-12-01

solution. The non- linear least squares model is defined as Y = f{e,t) where: 0 =M-element parameter vector Y =N-element vector of all data t...NAVAL POSTGRADUATE SCHOOL Monterey, California THESIS EXPLORATORY MODEL ANALYSIS OF THE SPACE BASED INFRARED SYSTEM (SBIRS) LOW GLOBAL SCHEDULER...December 1999 3. REPORT TYPE AND DATES COVERED Master’s Thesis 4. TITLE AND SUBTITLE EXPLORATORY MODEL ANALYSIS OF THE SPACE BASED INFRARED SYSTEM

Using a social capital framework to enhance measurement of the nursing work environment.

PubMed

Sheingold, Brenda Helen; Sheingold, Steven H

2013-07-01

To develop, field test and analyse a social capital survey instrument for measuring the nursing work environment. The concept of social capital, which focuses on improving productive capacity by examining relationships and networks, may provide a promising framework to measure and evaluate the nurse work environment in a variety of settings. A survey instrument for measuring social capital in the nurse work environment was developed by adapting the World Bank's Social Capital - Integrated Questionnaire (SC-IQ). Exploratory factor analysis and multiple regression analyses were applied to assess the properties of the instrument. The exploratory factor analysis yielded five factors that align well with the social capital framework, while reflecting unique aspects of the nurse work environment. The results suggest that the social capital framework provides a promising context to assess the nurse work environment. Further work is needed to refine the instrument for a diverse range of health-care providers and to correlate social capital measures with quality of patient care. Social capital measurement of the nurse work environment has the potential to provide managers with an enhanced set of tools for building productive capacity in health-care organisations and achieving desired outcomes. © 2013 John Wiley & Sons Ltd.

VarDetect: a nucleotide sequence variation exploratory tool

PubMed Central

Ngamphiw, Chumpol; Kulawonganunchai, Supasak; Assawamakin, Anunchai; Jenwitheesuk, Ekachai; Tongsima, Sissades

2008-01-01

Background Single nucleotide polymorphisms (SNPs) are the most commonly studied units of genetic variation. The discovery of such variation may help to identify causative gene mutations in monogenic diseases and SNPs associated with predisposing genes in complex diseases. Accurate detection of SNPs requires software that can correctly interpret chromatogram signals to nucleotides. Results We present VarDetect, a stand-alone nucleotide variation exploratory tool that automatically detects nucleotide variation from fluorescence based chromatogram traces. Accurate SNP base-calling is achieved using pre-calculated peak content ratios, and is enhanced by rules which account for common sequence reading artifacts. The proposed software tool is benchmarked against four other well-known SNP discovery software tools (PolyPhred, novoSNP, Genalys and Mutation Surveyor) using fluorescence based chromatograms from 15 human genes. These chromatograms were obtained from sequencing 16 two-pooled DNA samples; a total of 32 individual DNA samples. In this comparison of automatic SNP detection tools, VarDetect achieved the highest detection efficiency. Availability VarDetect is compatible with most major operating systems such as Microsoft Windows, Linux, and Mac OSX. The current version of VarDetect is freely available at . PMID:19091032

The process and utility of classification and regression tree methodology in nursing research

PubMed Central

Kuhn, Lisa; Page, Karen; Ward, John; Worrall-Carter, Linda

2014-01-01

Aim This paper presents a discussion of classification and regression tree analysis and its utility in nursing research. Background Classification and regression tree analysis is an exploratory research method used to illustrate associations between variables not suited to traditional regression analysis. Complex interactions are demonstrated between covariates and variables of interest in inverted tree diagrams. Design Discussion paper. Data sources English language literature was sourced from eBooks, Medline Complete and CINAHL Plus databases, Google and Google Scholar, hard copy research texts and retrieved reference lists for terms including classification and regression tree* and derivatives and recursive partitioning from 1984–2013. Discussion Classification and regression tree analysis is an important method used to identify previously unknown patterns amongst data. Whilst there are several reasons to embrace this method as a means of exploratory quantitative research, issues regarding quality of data as well as the usefulness and validity of the findings should be considered. Implications for Nursing Research Classification and regression tree analysis is a valuable tool to guide nurses to reduce gaps in the application of evidence to practice. With the ever-expanding availability of data, it is important that nurses understand the utility and limitations of the research method. Conclusion Classification and regression tree analysis is an easily interpreted method for modelling interactions between health-related variables that would otherwise remain obscured. Knowledge is presented graphically, providing insightful understanding of complex and hierarchical relationships in an accessible and useful way to nursing and other health professions. PMID:24237048

The process and utility of classification and regression tree methodology in nursing research.

PubMed

Kuhn, Lisa; Page, Karen; Ward, John; Worrall-Carter, Linda

2014-06-01

This paper presents a discussion of classification and regression tree analysis and its utility in nursing research. Classification and regression tree analysis is an exploratory research method used to illustrate associations between variables not suited to traditional regression analysis. Complex interactions are demonstrated between covariates and variables of interest in inverted tree diagrams. Discussion paper. English language literature was sourced from eBooks, Medline Complete and CINAHL Plus databases, Google and Google Scholar, hard copy research texts and retrieved reference lists for terms including classification and regression tree* and derivatives and recursive partitioning from 1984-2013. Classification and regression tree analysis is an important method used to identify previously unknown patterns amongst data. Whilst there are several reasons to embrace this method as a means of exploratory quantitative research, issues regarding quality of data as well as the usefulness and validity of the findings should be considered. Classification and regression tree analysis is a valuable tool to guide nurses to reduce gaps in the application of evidence to practice. With the ever-expanding availability of data, it is important that nurses understand the utility and limitations of the research method. Classification and regression tree analysis is an easily interpreted method for modelling interactions between health-related variables that would otherwise remain obscured. Knowledge is presented graphically, providing insightful understanding of complex and hierarchical relationships in an accessible and useful way to nursing and other health professions. © 2013 The Authors. Journal of Advanced Nursing Published by John Wiley & Sons Ltd.

Global Search Trends of Oral Problems using Google Trends from 2004 to 2016: An Exploratory Analysis

PubMed Central

Patthi, Basavaraj; Singla, Ashish; Gupta, Ritu; Prasad, Monika; Ali, Irfan; Dhama, Kuldeep; Niraj, Lav Kumar

2017-01-01

Introduction Oral diseases are pandemic cause of morbidity with widespread geographic distribution. This technology based era has brought about easy knowledge transfer than traditional dependency on information obtained from family doctors. Hence, harvesting this system of trends can aid in oral disease quantification. Aim To conduct an exploratory analysis of the changes in internet search volumes of oral diseases by using Google Trends© (GT©). Materials and Methods GT© were utilized to provide real world facts based on search terms related to categories, interest by region and interest over time. Time period chosen was from January 2004 to December 2016. Five different search terms were explored and compared based on the highest relative search volumes along with comma separated value files to obtain an insight into highest search traffic. Results The search volume measured over the time span noted the term “Dental caries” to be the most searched in Japan, “Gingivitis” in Jordan, “Oral Cancer” in Taiwan, “No Teeth” in Australia, “HIV symptoms” in Zimbabwe, “Broken Teeth” in United Kingdom, “Cleft palate” in Philippines, “Toothache” in Indonesia and the comparison of top five searched terms provided the “Gingivitis” with highest search volume. Conclusion The results from the present study offers an insight into a competent tool that can analyse and compare oral diseases over time. The trend research platform can be used on emerging diseases and their drift in geographic population with great acumen. This tool can be utilized in forecasting, modulating marketing strategies and planning disability limitation techniques. PMID:29207825

Validation of Medical Tourism Service Quality Questionnaire (MTSQQ) for Iranian Hospitals

PubMed Central

Qolipour, Mohammad; Torabipour, Amin; Khiavi, Farzad Faraji; Malehi, Amal Saki

2017-01-01

Introduction Assessing service quality is one of the basic requirements to develop the medical tourism industry. There is no valid and reliable tool to measure service quality of medical tourism. This study aimed to determine the reliability and validity of a Persian version of medical tourism service quality questionnaire for Iranian hospitals. Methods To validate the medical tourism service quality questionnaire (MTSQQ), a cross-sectional study was conducted on 250 Iraqi patients referred to hospitals in Ahvaz (Iran) from 2015. To design a questionnaire and determine its content validity, the Delphi Technique (3 rounds) with the participation of 20 medical tourism experts was used. Construct validity of the questionnaire was assessed through exploratory and confirmatory factor analysis. Reliability was assessed using Cronbach’s alpha coefficient. Data were analyzed by Excel 2007, SPSS version18, and Lisrel l8.0 software. Results The content validity of the questionnaire with CVI=0.775 was confirmed. According to exploratory factor analysis, the MTSQQ included 31 items and 8 dimensions (tangibility, reliability, responsiveness, assurance, empathy, exchange and travel facilities, technical and infrastructure facilities and safety and security). Construct validity of the questionnaire was confirmed, based on the goodness of fit quantities of model (RMSEA=0.032, CFI= 0.98, GFI=0.88). Cronbach’s alpha coefficient was 0.837 and 0.919 for expectation and perception questionnaire. Conclusion The results of the study showed that the medical tourism SERVQUAL questionnaire with 31 items and 8 dimensions was a valid and reliable tool to measure service quality of medical tourism in Iranian hospitals. PMID:28461863

Exploratory and spatial data analysis (EDA-SDA) for determining regional background levels and anomalies of potentially toxic elements in soils from Catorce-Matehuala, Mexico

USGS Publications Warehouse

Chiprés, J.A.; Castro-Larragoitia, J.; Monroy, M.G.

2009-01-01

The threshold between geochemical background and anomalies can be influenced by the methodology selected for its estimation. Environmental evaluations, particularly those conducted in mineralized areas, must consider this when trying to determinate the natural geochemical status of a study area, quantifying human impacts, or establishing soil restoration values for contaminated sites. Some methods in environmental geochemistry incorporate the premise that anomalies (natural or anthropogenic) and background data are characterized by their own probabilistic distributions. One of these methods uses exploratory data analysis (EDA) on regional geochemical data sets coupled with a geographic information system (GIS) to spatially understand the processes that influence the geochemical landscape in a technique that can be called a spatial data analysis (SDA). This EDA-SDA methodology was used to establish the regional background range from the area of Catorce-Matehuala in north-central Mexico. Probability plots of the data, particularly for those areas affected by human activities, show that the regional geochemical background population is composed of smaller subpopulations associated with factors such as soil type and parent material. This paper demonstrates that the EDA-SDA method offers more certainty in defining thresholds between geochemical background and anomaly than a numeric technique, making it a useful tool for regional geochemical landscape analysis and environmental geochemistry studies.

Designing and psychoanalysis: A comprehensive questionnaire on coping with domestic violence against women in Iranian society.

PubMed

Mohhamadian, Zeinab; Mohtashami, Jamileh; Rohani, Camelia; Jamshidi, Tayebeh

2018-01-01

Domestic violence is the third sociopathology after addiction and child abuse in Iran. Fifty-six percent of Iranian women in the range of 17-32 years old are exposed to the highest domestic violence. Objective: The aim of this study was to design and psychoanalyze a comprehensive questionnaire on coping with domestic violence against women in Iranian society. This study was carried out on a random sample of women exposed to domestic violence and referred to the health and care center of Shahid Beheshti University of Medical Sciences in Tehran, and Forensic Medical Centers in Urmia city (Iran), in 2017. Two hundred questionnaires were distributed among the participants. One hundred sixty-eight questionnaires were returned to the researchers for data analysis. Eight of those were excluded from the analysis because of incompleteness. Finally, exploratory factor analysis was performed. After reviewing the literature, a questionnaire with 32 items was developed. Content validity ratio (0.95) and content validity index (0.97) were obtained. The results of exploratory factor analysis indicated that the questionnaire explained 69.34% of the data variance. Cronbach's alpha coefficient, and test-retest methods were used for determining the reliability and the obtained value, which were 0.82 and 0.81, respectively. Validity and reliability of the questionnaire with 32 items were confirmed. The tool can be utilized to measure how women cope with domestic violence.

Exploratory Analysis of Carbon Dioxide Levels and Ultrasound Measures of the Eye During ISS Missions

NASA Technical Reports Server (NTRS)

Schaefer, C.; Young, M.; Mason, S.; Coble, C.; Wear, M. L.; Sargsyan, A.; Garcia, K.; Law. J.; Alexander, D.; Ryder, V. Myers;

Development of the Ethical Evaluation Questionnaire: A Machiavellian, Utilitarian, and Religious Viewpoint

ERIC Educational Resources Information Center

Gokce, Asiye Toker

2017-01-01

This study aimed to develop a valid and reliable measurement tool to enhance ethical evaluation literature. The tool consists of two subscales named "Bases of ethical evaluation," and "Grounds of ethical evaluation." In order to determine the factor structure of the scales, both exploratory and confirmatory factor analyses were…

Exploring Preservice Teacher Perspectives on Video Games as Learning Tools

ERIC Educational Resources Information Center

Ray, Beverly B.; Powell, Angiline; Jacobsen, Brenda

2014-01-01

Despite their popularity with learners, many K-12 teachers are reluctant to use video games as learning tools. Addressing issues surrounding this reluctance is important since the educational use of video games is supported by learning theory and an emerging research base. Specifically, this study adopts exploratory research as a means to examine…

The Social Networks of Small Arms Proliferation: Mapping an Aviation Enabled Supply Chain

DTIC Science & Technology

2007-12-01

each of the discrete arms 248 Wouter de Nooy, Andrej Mrvar , and Vladimir Batagelj , Exploratory Social...303 Wouter de Nooy, Andrej Mrvar , and Vladimir Batagelj , Exploratory Social Network Analysis with Pajek, 101. 304 Ibid., 21. 93 entity. The data...305 Wouter de Nooy, Andrej Mrvar , and Vladimir Batagelj , Exploratory Social Network Analysis with Pajek, 101. 306 Linton C. Freeman, "Graphical

Exploratory Analysis of Supply Chains in the Defense Industrial Base

DTIC Science & Technology

2012-04-01

Instruments Industry Group 382: Laboratory Apparatus and Analytical, Optical, Measuring, and Controlling Instruments 3821 Laboratory Apparatus and Furniture ...I N S T I T U T E F O R D E F E N S E A N A LY S E S Exploratory Analysis of Supply Chains in the Defense Industrial Base James R. Dominy...contract DASW01-04-C-0003, AH-7-3315, “Exploratory Analysis of Supply Chains in the Defense Industrial Base,” for the Director, Industrial Policy. The

Exploratory Analysis in Learning Analytics

ERIC Educational Resources Information Center

Gibson, David; de Freitas, Sara

2016-01-01

This article summarizes the methods, observations, challenges and implications for exploratory analysis drawn from two learning analytics research projects. The cases include an analysis of a games-based virtual performance assessment and an analysis of data from 52,000 students over a 5-year period at a large Australian university. The complex…

Development and psychometric evaluation of the Impact of Health Information Technology (I-HIT) scale.

PubMed

Dykes, Patricia C; Hurley, Ann; Cashen, Margaret; Bakken, Suzanne; Duffy, Mary E

2007-01-01

The use of health information technology (HIT) for the support of communication processes and data and information access in acute care settings is a relatively new phenomenon. A means of evaluating the impact of HIT in hospital settings is needed. The purpose of this research was to design and psychometrically evaluate the Impact of Health Information Technology scale (I-HIT). I-HIT was designed to measure the perception of nurses regarding the ways in which HIT influences interdisciplinary communication and workflow patterns and nurses' satisfaction with HIT applications and tools. Content for a 43-item tool was derived from the literature, and supported theoretically by the Coiera model and by nurse informaticists. Internal consistency reliability analysis using Cronbach's alpha was conducted on the 43-item scale to initiate the item reduction process. Items with an item total correlation of less than 0.35 were removed, leaving a total of 29 items. Item analysis, exploratory principal component analysis and internal consistency reliability using Cronbach's alpha were used to confirm the 29-item scale. Principal components analysis with Varimax rotation produced a four-factor solution that explained 58.5% of total variance (general advantages, information tools to support information needs, information tools to support communication needs, and workflow implications). Internal consistency of the total scale was 0.95 and ranged from 0.80-0.89 for four subscales. I-HIT demonstrated psychometric adequacy and is recommended to measure the impact of HIT on nursing practice in acute care settings.

Validation of the Center for Epidemiological Studies Depression Scale among Korean Adolescents.

PubMed

Heo, Eun-Hye; Choi, Kyeong-Sook; Yu, Je-Chun; Nam, Ji-Ae

2018-02-01

The Center for Epidemiological Studies Depression Scale (CES-D) is designed to measure the current level of depressive symptomatology in the general population. However, no review has examined whether the scale is reliable and valid among children and adolescents in Korea. The purpose of this study was to test whether the Korean form of the CES-D is valid in adolescents. Data were obtained from 1,884 adolescents attending grades 1-3 in Korean middle schools. Reliability was evaluated by internal consistency (Cronbach's alpha). Concurrent validity was evaluated by a correlation analysis between the CES-D and other scales. Construct validity was evaluated by exploratory factor and confirmatory factor analyses. The internal consistency coefficient for the entire group was 0.88. The CES-D was positively correlated with scales that measure negative psychological constructs, such as the State Anxiety Inventory for Children, the Korean Social Anxiety Scale for Children and Adolescents, and the Reynold Suicidal Ideation Questionnaire, but it was negatively correlated with scales that measure positive psychological constructs, such as the Korean version of the Rosenberg Self-Esteem Scale and the Connor-Davidson Resilience Scale-2. The CES-D was examined by three-dimensional exploratory factor analysis, and the three-factor structure of the scale explained 53.165% of the total variance. The variance explained by factor I was 24.836%, that explained by factor II was 15.988%, and that explained by factor III was 12.341%. The construct validity of the CES-D was tested by confirmatory factor analysis, and we applied the entire group's data using a three-factor hierarchical model. The fit index showed a level similar to those of other countries' adolescent samples. The CES-D has high internal consistency and addresses psychological constructs similar to those addressed by other scales. The CES-D showed a three-factor structure in an exploratory factor analysis. The present findings suggest that the CES-D is a useful and reliable tool for measuring depression in Korean adolescents.

Development and validation of the ExPRESS instrument for primary health care providers' evaluation of external supervision.

PubMed

Schriver, Michael; Cubaka, Vincent Kalumire; Vedsted, Peter; Besigye, Innocent; Kallestrup, Per

2018-01-01

External supervision of primary health care facilities to monitor and improve services is common in low-income countries. Currently there are no tools to measure the quality of support in external supervision in these countries. To develop a provider-reported instrument to assess the support delivered through external supervision in Rwanda and other countries. "External supervision: Provider Evaluation of Supervisor Support" (ExPRESS) was developed in 18 steps, primarily in Rwanda. Content validity was optimised using systematic search for related instruments, interviews, translations, and relevance assessments by international supervision experts as well as local experts in Nigeria, Kenya, Uganda and Rwanda. Construct validity and reliability were examined in two separate field tests, the first using exploratory factor analysis and a test-retest design, the second for confirmatory factor analysis. We included 16 items in section A ('The most recent experience with an external supervisor'), and 13 items in section B ('The overall experience with external supervisors'). Item-content validity index was acceptable. In field test I, test-retest had acceptable kappa values and exploratory factor analysis suggested relevant factors in sections A and B used for model hypotheses. In field test II, models were tested by confirmatory factor analysis fitting a 4-factor model for section A, and a 3-factor model for section B. ExPRESS is a promising tool for evaluation of the quality of support of primary health care providers in external supervision of primary health care facilities in resource-constrained settings. ExPRESS may be used as specific feedback to external supervisors to help identify and address gaps in the supervision they provide. Further studies should determine optimal interpretation of scores and the number of respondents needed per supervisor to obtain precise results, as well as test the functionality of section B.

The Development and Validation of the Children's Anxiety in Math Scale

ERIC Educational Resources Information Center

Jameson, Molly M.

2013-01-01

Math anxiety has been historically overlooked in samples of children. This may be due in part to the lack of appropriate tools to measure anxiety in young children. The current exploratory study reports on the development and examination of reliability, validity, and factor structure of a new tool to measure math anxiety in young children. The…

An Entrepreneurial Learning Exercise as a Pedagogical Tool for Teaching CSR: A Peruvian Study

ERIC Educational Resources Information Center

Farber, Vanina A.; Prialé, María Angela; Fuchs, Rosa María

2015-01-01

This paper reports on an exploratory cross-sectional study of the value of an entrepreneurial learning exercise as a tool for examining the entrepreneurship dimension of corporate social responsibility (CSR). The study used grounded theory to analyse diaries kept by graduate (MBA) students during the "20 Nuevos Soles Project". From the…

Research in Progress--Update April 1990. Occasional Paper InTER/14/90.

ERIC Educational Resources Information Center

Boots, Maureen, Comp.

This document contains abstracts of 29 research projects in progress in Great Britain divided into six sections: (1) the current phase of Information Technology in Education Research (InTER) programs on groupwork with computers, tools for exploratory learning, conceptual change in science, and bubble dialogue as an ethnographic research tool; (2)…

Reading Actively Online: An Exploratory Investigation of Online Annotation Tools for Inquiry Learning

ERIC Educational Resources Information Center

Lu, Jingyan; Deng, Liping

2012-01-01

This study seeks to design and facilitate active reading among secondary school students with an online annotation tool--Diigo. Two classes of different academic performance levels were recruited to examine their annotation behavior and perceptions of Diigo. We wanted to determine whether the two classes differed in how they used Diigo; how they…

Digital Doctorates? An Exploratory Study of PhD Candidates' Use of Online Tools

ERIC Educational Resources Information Center

Dowling, Robyn; Wilson, Michael

2017-01-01

Online environments are transforming learning, including doctoral education. Yet the ways in which the PhD experience is shaped and transformed through these digital modes of engagement is seldom addressed, and not systematically understood. In this article, we explore PhD students' perceptions and use of digital tools. Drawing on the results of…

[Patient satisfaction in a laboratory test collection unit].

PubMed

de Moura, Gisela Maria Schebella Souto; Hilleshein, Eunice Fabiani; Schardosim, Juliana Machado; Delgado, Kátia Simone

2008-06-01

This exploratory descriptive study aimed at identifying customer satisfaction attributes in the field of laboratory tests. Data were collected in 2006, using 104 interviews in a laboratorial unit inside a teaching hospital, using the critical incident technique, and submitted to content analysis. Three attribute categories were identified: time spent in waiting for care, interpersonal contact, and technical skills. These results subsidize the assessment of the current satisfaction survey tool, and point to its reformulation. They also allow the identification of improvement needs in customer attention, and provide elements to be taken into account in personnel selection, training programs, personnel performance assessment.

Temporal data mining for hospital management

NASA Astrophysics Data System (ADS)

Tsumoto, Shusaku; Hirano, Shoji

2009-04-01

It has passed about twenty years since clinical information are stored electronically as a hospital information system since 1980's. Stored data include from accounting information to laboratory data and even patient records are now started to be accumulated: in other words, a hospital cannot function without the information system, where almost all the pieces of medical information are stored as multimedia databases. In this paper, we applied temporal data mining and exploratory data analysis techniques to hospital management data. The results show several interesting results, which suggests that the reuse of stored data will give a powerful tool for hospial management.

Jupyter and Galaxy: Easing entry barriers into complex data analyses for biomedical researchers.

PubMed

Grüning, Björn A; Rasche, Eric; Rebolledo-Jaramillo, Boris; Eberhard, Carl; Houwaart, Torsten; Chilton, John; Coraor, Nate; Backofen, Rolf; Taylor, James; Nekrutenko, Anton

2017-05-01

What does it take to convert a heap of sequencing data into a publishable result? First, common tools are employed to reduce primary data (sequencing reads) to a form suitable for further analyses (i.e., the list of variable sites). The subsequent exploratory stage is much more ad hoc and requires the development of custom scripts and pipelines, making it problematic for biomedical researchers. Here, we describe a hybrid platform combining common analysis pathways with the ability to explore data interactively. It aims to fully encompass and simplify the "raw data-to-publication" pathway and make it reproducible.

The Incremental Multiresolution Matrix Factorization Algorithm

PubMed Central

Ithapu, Vamsi K.; Kondor, Risi; Johnson, Sterling C.; Singh, Vikas

2017-01-01

Multiresolution analysis and matrix factorization are foundational tools in computer vision. In this work, we study the interface between these two distinct topics and obtain techniques to uncover hierarchical block structure in symmetric matrices – an important aspect in the success of many vision problems. Our new algorithm, the incremental multiresolution matrix factorization, uncovers such structure one feature at a time, and hence scales well to large matrices. We describe how this multiscale analysis goes much farther than what a direct “global” factorization of the data can identify. We evaluate the efficacy of the resulting factorizations for relative leveraging within regression tasks using medical imaging data. We also use the factorization on representations learned by popular deep networks, providing evidence of their ability to infer semantic relationships even when they are not explicitly trained to do so. We show that this algorithm can be used as an exploratory tool to improve the network architecture, and within numerous other settings in vision. PMID:29416293

Assessing suicide risk among callers to crisis hotlines: a confirmatory factor analysis.

PubMed

Witte, Tracy K; Gould, Madelyn S; Munfakh, Jimmie Lou Harris; Kleinman, Marjorie; Joiner, Thomas E; Kalafat, John

2010-09-01

Our goal was to investigate the factor structure of a risk assessment tool utilized by suicide hotlines and to determine the predictive validity of the obtained factors in predicting subsequent suicidal behavior. We conducted an Exploratory Factor Analysis (EFA), an EFA in a Confirmatory Factor Analysis (EFA/CFA) framework, and a CFA on independent subsamples derived from a total sample of 1,085. Similar to previous studies, we found consistent evidence for a two-factor solution, with one factor representing a more pernicious form of suicide risk (i.e., Resolved Plans and Preparations; RPP) and one factor representing milder suicidal ideation (i.e., Suicidal Desire and Ideation; SDI). The RPP factor trended toward being more predictive of suicidal ideation at follow-up than the SDI factor. (c) 2010 Wiley Periodicals, Inc.

BMDExpress Data Viewer: A Visualization Tool to Analyze ...

EPA Pesticide Factsheets

Regulatory agencies increasingly apply benchmark dose (BMD) modeling to determine points of departure in human risk assessments. BMDExpress applies BMD modeling to transcriptomics datasets and groups genes to biological processes and pathways for rapid assessment of doses at which biological perturbations occur. However, graphing and analytical capabilities within BMDExpress are limited, and the analysis of output files is challenging. We developed a web-based application, BMDExpress Data Viewer, for visualization and graphical analyses of BMDExpress output files. The software application consists of two main components: ‘Summary Visualization Tools’ and ‘Dataset Exploratory Tools’. We demonstrate through two case studies that the ‘Summary Visualization Tools’ can be used to examine and assess the distributions of probe and pathway BMD outputs, as well as derive a potential regulatory BMD through the modes or means of the distributions. The ‘Functional Enrichment Analysis’ tool presents biological processes in a two-dimensional bubble chart view. By applying filters of pathway enrichment p-value and minimum number of significant genes, we showed that the Functional Enrichment Analysis tool can be applied to select pathways that are potentially sensitive to chemical perturbations. The ‘Multiple Dataset Comparison’ tool enables comparison of BMDs across multiple experiments (e.g., across time points, tissues, or organisms, etc.). The ‘BMDL-BM

Man-machine Integration Design and Analysis System (MIDAS) Task Loading Model (TLM) experimental and software detailed design report

NASA Technical Reports Server (NTRS)

Staveland, Lowell

1994-01-01

This is the experimental and software detailed design report for the prototype task loading model (TLM) developed as part of the man-machine integration design and analysis system (MIDAS), as implemented and tested in phase 6 of the Army-NASA Aircrew/Aircraft Integration (A3I) Program. The A3I program is an exploratory development effort to advance the capabilities and use of computational representations of human performance and behavior in the design, synthesis, and analysis of manned systems. The MIDAS TLM computationally models the demands designs impose on operators to aide engineers in the conceptual design of aircraft crewstations. This report describes TLM and the results of a series of experiments which were run this phase to test its capabilities as a predictive task demand modeling tool. Specifically, it includes discussions of: the inputs and outputs of TLM, the theories underlying it, the results of the test experiments, the use of the TLM as both stand alone tool and part of a complete human operator simulation, and a brief introduction to the TLM software design.

Interactive and coordinated visualization approaches for biological data analysis.

PubMed

Cruz, António; Arrais, Joel P; Machado, Penousal

2018-03-26

The field of computational biology has become largely dependent on data visualization tools to analyze the increasing quantities of data gathered through the use of new and growing technologies. Aside from the volume, which often results in large amounts of noise and complex relationships with no clear structure, the visualization of biological data sets is hindered by their heterogeneity, as data are obtained from different sources and contain a wide variety of attributes, including spatial and temporal information. This requires visualization approaches that are able to not only represent various data structures simultaneously but also provide exploratory methods that allow the identification of meaningful relationships that would not be perceptible through data analysis algorithms alone. In this article, we present a survey of visualization approaches applied to the analysis of biological data. We focus on graph-based visualizations and tools that use coordinated multiple views to represent high-dimensional multivariate data, in particular time series gene expression, protein-protein interaction networks and biological pathways. We then discuss how these methods can be used to help solve the current challenges surrounding the visualization of complex biological data sets.

Exploratory Causal Analysis in Bivariate Time Series Data

NASA Astrophysics Data System (ADS)

McCracken, James M.

Many scientific disciplines rely on observational data of systems for which it is difficult (or impossible) to implement controlled experiments and data analysis techniques are required for identifying causal information and relationships directly from observational data. This need has lead to the development of many different time series causality approaches and tools including transfer entropy, convergent cross-mapping (CCM), and Granger causality statistics. In this thesis, the existing time series causality method of CCM is extended by introducing a new method called pairwise asymmetric inference (PAI). It is found that CCM may provide counter-intuitive causal inferences for simple dynamics with strong intuitive notions of causality, and the CCM causal inference can be a function of physical parameters that are seemingly unrelated to the existence of a driving relationship in the system. For example, a CCM causal inference might alternate between ''voltage drives current'' and ''current drives voltage'' as the frequency of the voltage signal is changed in a series circuit with a single resistor and inductor. PAI is introduced to address both of these limitations. Many of the current approaches in the times series causality literature are not computationally straightforward to apply, do not follow directly from assumptions of probabilistic causality, depend on assumed models for the time series generating process, or rely on embedding procedures. A new approach, called causal leaning, is introduced in this work to avoid these issues. The leaning is found to provide causal inferences that agree with intuition for both simple systems and more complicated empirical examples, including space weather data sets. The leaning may provide a clearer interpretation of the results than those from existing time series causality tools. A practicing analyst can explore the literature to find many proposals for identifying drivers and causal connections in times series data sets, but little research exists of how these tools compare to each other in practice. This work introduces and defines exploratory causal analysis (ECA) to address this issue along with the concept of data causality in the taxonomy of causal studies introduced in this work. The motivation is to provide a framework for exploring potential causal structures in time series data sets. ECA is used on several synthetic and empirical data sets, and it is found that all of the tested time series causality tools agree with each other (and intuitive notions of causality) for many simple systems but can provide conflicting causal inferences for more complicated systems. It is proposed that such disagreements between different time series causality tools during ECA might provide deeper insight into the data than could be found otherwise.

The Infinitesimal Jackknife with Exploratory Factor Analysis

ERIC Educational Resources Information Center

Zhang, Guangjian; Preacher, Kristopher J.; Jennrich, Robert I.

2012-01-01

The infinitesimal jackknife, a nonparametric method for estimating standard errors, has been used to obtain standard error estimates in covariance structure analysis. In this article, we adapt it for obtaining standard errors for rotated factor loadings and factor correlations in exploratory factor analysis with sample correlation matrices. Both…

Understanding Pasifika youth and the obesogenic environment, Auckland and Wellington, New Zealand.

PubMed

Tupai-Firestone, Ridvan; Tuisano, Hana; Manukia, Moana; Kaholokula, Keawe'aimoku; Foliaki, Sunia; Kingi, Te Kani; Kruger, Rozanne; Breier, Bernhard; O'Connell, Angelique; Kruger, Rozanne; Borman, Barry; Ellison-Loschmann, Lis

2016-05-06

In New Zealand, the burden of obesity is greatest among Pacific people, especially in children and adolescents. We investigated the factors of the obesogenic environment that were indigenous to Pasifika youths' social-cultural context, their food purchasing behaviours, and associated anthropometric measures. An exploratory study of 30 Pasifika youth aged 16-24 years in Wellington and Auckland, New Zealand. A large proportion of the participants were obese (mean body mass index: 31.0kg/m2; waistto-hip ratio: 0.84; waist-to-height ratio: 0.6), suggesting that the future health and wellbeing trajectory of the studied Pasifika youth is poor. Purchasing behaviours of food and snacks over a 7-day period provided meaningful insights that could be a useful future research tool to examine the role of their physical environment on food access and availability. From this exploratory study, we highlight the following: (i) the future health trajectory of Pasifika youth is poor. Developing the youths' healthy lifestyle knowledge may lend itself to developing culturally relevant intervention programmes; (ii) identifying the enablers and barriers within the Pasifika ontext of an obesogenic environment can provide very useful information; (iii) use of spatial analysis using purchased food receipts adds to the current knowledge base of obesity-related research, although this was an exploratory investigation. We need to address these highlights if we are to reverse the trend of obesity for this population.

SamuROI, a Python-Based Software Tool for Visualization and Analysis of Dynamic Time Series Imaging at Multiple Spatial Scales.

PubMed

Rueckl, Martin; Lenzi, Stephen C; Moreno-Velasquez, Laura; Parthier, Daniel; Schmitz, Dietmar; Ruediger, Sten; Johenning, Friedrich W

2017-01-01

The measurement of activity in vivo and in vitro has shifted from electrical to optical methods. While the indicators for imaging activity have improved significantly over the last decade, tools for analysing optical data have not kept pace. Most available analysis tools are limited in their flexibility and applicability to datasets obtained at different spatial scales. Here, we present SamuROI (Structured analysis of multiple user-defined ROIs), an open source Python-based analysis environment for imaging data. SamuROI simplifies exploratory analysis and visualization of image series of fluorescence changes in complex structures over time and is readily applicable at different spatial scales. In this paper, we show the utility of SamuROI in Ca 2+ -imaging based applications at three spatial scales: the micro-scale (i.e., sub-cellular compartments including cell bodies, dendrites and spines); the meso-scale, (i.e., whole cell and population imaging with single-cell resolution); and the macro-scale (i.e., imaging of changes in bulk fluorescence in large brain areas, without cellular resolution). The software described here provides a graphical user interface for intuitive data exploration and region of interest (ROI) management that can be used interactively within Jupyter Notebook: a publicly available interactive Python platform that allows simple integration of our software with existing tools for automated ROI generation and post-processing, as well as custom analysis pipelines. SamuROI software, source code and installation instructions are publicly available on GitHub and documentation is available online. SamuROI reduces the energy barrier for manual exploration and semi-automated analysis of spatially complex Ca 2+ imaging datasets, particularly when these have been acquired at different spatial scales.

SamuROI, a Python-Based Software Tool for Visualization and Analysis of Dynamic Time Series Imaging at Multiple Spatial Scales

PubMed Central

Rueckl, Martin; Lenzi, Stephen C.; Moreno-Velasquez, Laura; Parthier, Daniel; Schmitz, Dietmar; Ruediger, Sten; Johenning, Friedrich W.

2017-01-01

The measurement of activity in vivo and in vitro has shifted from electrical to optical methods. While the indicators for imaging activity have improved significantly over the last decade, tools for analysing optical data have not kept pace. Most available analysis tools are limited in their flexibility and applicability to datasets obtained at different spatial scales. Here, we present SamuROI (Structured analysis of multiple user-defined ROIs), an open source Python-based analysis environment for imaging data. SamuROI simplifies exploratory analysis and visualization of image series of fluorescence changes in complex structures over time and is readily applicable at different spatial scales. In this paper, we show the utility of SamuROI in Ca2+-imaging based applications at three spatial scales: the micro-scale (i.e., sub-cellular compartments including cell bodies, dendrites and spines); the meso-scale, (i.e., whole cell and population imaging with single-cell resolution); and the macro-scale (i.e., imaging of changes in bulk fluorescence in large brain areas, without cellular resolution). The software described here provides a graphical user interface for intuitive data exploration and region of interest (ROI) management that can be used interactively within Jupyter Notebook: a publicly available interactive Python platform that allows simple integration of our software with existing tools for automated ROI generation and post-processing, as well as custom analysis pipelines. SamuROI software, source code and installation instructions are publicly available on GitHub and documentation is available online. SamuROI reduces the energy barrier for manual exploration and semi-automated analysis of spatially complex Ca2+ imaging datasets, particularly when these have been acquired at different spatial scales. PMID:28706482

Using Horn's Parallel Analysis Method in Exploratory Factor Analysis for Determining the Number of Factors

ERIC Educational Resources Information Center

Çokluk, Ömay; Koçak, Duygu

2016-01-01

In this study, the number of factors obtained from parallel analysis, a method used for determining the number of factors in exploratory factor analysis, was compared to that of the factors obtained from eigenvalue and scree plot--two traditional methods for determining the number of factors--in terms of consistency. Parallel analysis is based on…

Validation Analysis of a Geriatric Dehydration Screening Tool in Community-Dwelling and Institutionalized Elderly People

PubMed Central

Rodrigues, Susana; Silva, Joana; Severo, Milton; Inácio, Cátia; Padrão, Patrícia; Lopes, Carla; Carvalho, Joana; do Carmo, Isabel; Moreira, Pedro

2015-01-01

Dehydration is common among elderly people. The aim of this study was to perform validation analysis of a geriatric dehydration-screening tool (DST) in the assessment of hydration status in elderly people. This tool was based on the DST proposed by Vivanti et al., which is composed by 11 items (four physical signs of dehydration and seven questions about thirst sensation, pain and mobility), with four questions extra about drinking habits. The resulting questionnaire was evaluated in a convenience sample comprising institutionalized (n = 29) and community-dwelling (n = 74) elderly people. Urinary parameters were assessed (24-h urine osmolality and volume) and free water reserve (FWR) was calculated. Exploratory factor analysis was used to evaluate the scale’s dimensionality and Cronbach’s alpha was used to measure the reliability of each subscale. Construct’s validity was tested using linear regression to estimate the association between scores in each dimension and urinary parameters. Two factors emerged from factor analysis, which were named “Hydration Score” and “Pain Score”, and both subscales showed acceptable reliabilities. The “Hydration Score” was negatively associated with 24-h urine osmolality in community-dwelling; and the “Pain Score” was negatively associated with 24-h urine osmolality, and positively associated with 24-h urine volume and FWR in institutionalized elderly people. PMID:25739005

Supervision on Social Media: Use and Perception of Facebook as a Research Education Tool in Disadvantaged Areas

ERIC Educational Resources Information Center

Pimmer, Christoph; Chipps, Jennifer; Brysiewicz, Petra; Walters, Fiona; Linxen, Sebastian; Gröhbiel, Urs

2016-01-01

This exploratory study investigates how a typically disadvantaged user group of older, female learners from rural, low-tech settings used and perceived a Facebook group as a research supervision and distance learning tool over time. The within-stage mixed-model research was carried out in a module of a part-time, advanced midwifery education…

Use of GeoGebra in Primary Math Education in Lithuania: An Exploratory Study from Teachers' Perspective

ERIC Educational Resources Information Center

Žilinskiene, Inga; Demirbilek, Muhammet

2015-01-01

With the advance of information and communications technologies, new teaching tools are becoming more pervasive. These tools can be utilized in a variety of ways to improve and enhance math teaching. Considering the integration of technology in teaching mathematics, it is clear that the replacement of board and chalk with digital presentation…

Development of a Brazilian Portuguese adapted version of the Gap-Kalamazoo communication skills assessment form.

PubMed

Amaral, Anna Beatriz C N; Rider, Elizabeth A; Lajolo, Paula P; Tone, Luiz G; Pinto, Rogerio M C; Lajolo, Marisa P; Calhoun, Aaron W

2016-12-11

The goal of this study was to translate, adapt and validate the items of the Gap-Kalamazoo Communication Skills Assessment Form for use in the Brazilian cultural setting. The Gap-Kalamazoo Communication Skills Assessment Form was translated into Portuguese by two independent bilingual Brazilian translators and was reconciled by a third bilingual healthcare professional. The translated text was then assessed for content using a modified Delphi technique and adjusted as needed to assure content validity. A total of nine phrases in the completed tool were adjusted. The final tool was then used to assess videotaped simulations as a means of validation.  Response process was assessed using exploratory factor analysis and internal structure was assessed via Cronbach's Alpha (internal consistency) and Intraclass Correlation (test-retest reliability and inter-rater reliability). One hundred and four (104) videotaped communication skills simulations were assessed by 38 subjects (6 staff physicians, 4 faculty physicians, 8 resident physicians, 4 professional actors with experience in simulation, and 16 other allied healthcare professionals). Measures of Internal consistency (Cronbach's alpha = 0.818) and test-retest reliability (intra-class correlation coefficient = 0.942) were high.  Exploratory factor analysis confirmed the uni-dimensionality of the instrument. Our results support the validity and reliability of the Brazilian Gap-Kalamazoo Communication Skills Assessment Form when used among Brazilian medical residents.  The Brazilian version of Gap-Kalamazoo Communication Skills Assessment Form was found to be adequate both in the linguistic and technical aspects.  The use of this instrument in Brazilian medical education can enhance the assessment of physician-patient-team relationships on an ongoing basis.

Cross-Cultural Adaptation and Validation of the Back Beliefs Questionnaire to the Arabic Language.

PubMed

Alamrani, Samia; Alsobayel, Hana; Alnahdi, Ali H; Moloney, Niamh; Mackey, Martin

2016-06-01

Translation, cross-cultural adaptation, and psychometric testing. To translate the Back Beliefs Questionnaire (BBQ) into Arabic and investigate its psychometric properties in an Arabic-speaking sample of individuals with low back pain (LBP). Back pain beliefs are associated with pain chronicity and disability in people with LBP. The BBQ is a recognized and frequently used tool for measuring these beliefs. To date the BBQ has not been translated into Arabic. The English version of the BBQ was translated and culturally adapted into Arabic (BBQ-Ar) according to published guidelines. The BBQ-Ar was then tested in a sample of 115 Arabic-speaking individuals with LBP. Reliability was evaluated through internal consistency (Cronbach α) and test-retest reliability (intraclass correlation coefficient), the latter in a subgroup of 25. Construct validity was assessed using exploratory factor analysis and by examining the correlation between the BBQ-Ar, the Oswestry Disability Index and a Numerical Pain Rating Scale. Internal consistency of the BBQ-Ar was good (Cronbach α = 0.77). Test-retest reliability was good (intraclass correlation coefficient [2,1] = 0.88). Exploratory factor analysis revealed a three-factor structure, explaining 46% of total variance, with the first factor alone explaining 24%. Eight of the nine scoring items were loaded on the first factor thus forming a unidimensional scale. A significant negative correlation was found between Oswestry Disability Index and BBQ-Ar scores (r = -0.307; P < 0.01), whereas no significant correlation was found between BBQ-Ar and Pain Rating Scale scores. No floor or celling effects were observed. The BBQ-Ar is a valid and reliable tool that can be used to assess back pain beliefs in Arabic-speaking individuals. N/A.

The Turkish adaptation of scale to measure patient perceptions of the quality of nursing care and related hospital services: A validity and reliability study

PubMed Central

Oren, Besey; Zengin, Neriman; Yildiz, Nebahat

2016-01-01

OBJECTIVE: This study aimed to test the validity and reliability of a version of the tool developed in Sri Lanka in 2011 to assess patient perceptions of the quality of nursing care and related hospital services created for use with Turkish patients. METHODS: This methodological study was conducted between November 2013 and November 2014 after obtaining ethical approval and organizational permission. Data was collected during discharge from 180 adult patients who were hospitalized for at least 3 days at a medical school hospital located in Istanbul. After language validation, validity and reliability analyses of the scale were conducted. Content validity, content validity index (CVI), construct validity, and exploratory factor analysis were assessed and examined, and reliability was tested using the Cronbach’s alpha coefficient and item-total correlations. RESULTS: Mean CVI was found to be 0.95, which is above expected value. Exploratory factor analysis revealed 4 factors with eigenvalues above 1, which explained 82.4% of total variance in the Turkish version of the tool to measure patient perceptions of nursing care and other hospital services. Factor loading for each item was ≥.40. Cronbach’s alpha coefficient of sub-dimensions and total scale were found to be 0.84-0.98 and 0.98, respectively. Item-total correlations ranged from 0.56 to 0.83 for the entire group, which was above expected values. CONCLUSION: The Turkish version of the scale to assess patient perceptions of the quality of nursing care and related hospital services, which comprised 4 sub-dimensions and 36 items, was found to be valid and reliable for use with the Turkish population. PMID:28275750

An exploratory analysis of the model for understanding success in quality.

PubMed

Kaplan, Heather C; Froehle, Craig M; Cassedy, Amy; Provost, Lloyd P; Margolis, Peter A

2013-01-01

Experience suggests that differences in context produce variability in the effectiveness of quality improvement (QI) interventions. However, little is known about which contextual factors affect success or how they exert influence. Using the Model for Understanding Success in Quality (MUSIQ), we perform exploratory quantitative tests of the role of context in QI success. We used a cross-sectional design to survey individuals participating in QI projects in three settings: a pediatric hospital, hospitals affiliated with a state QI collaborative, and organizations sponsoring participants in an improvement advisor training program. Individuals participating in QI projects completed a questionnaire assessing contextual factors included in MUSIQ and measures of perceived success. Path analysis was used to test the direct, indirect, and total effects of context variables on QI success as hypothesized in MUSIQ. In the 74 projects studied, most contextual factors in MUSIQ were found to be significantly related to at least one QI project performance outcome. Contextual factors exhibiting significant effects on two measures of perceived QI success included resource availability, QI team leadership, team QI skills, microsystem motivation, microsystem QI culture, and microsystem QI capability. There was weaker evidence for effects of senior leader project sponsors, organizational QI culture, QI team decision-making, and microsystem QI leadership. These initial tests add to the validity of MUSIQ as a tool for identifying which contextual factors affect improvement success and understanding how they exert influence. Using MUSIQ, managers and QI practitioners can begin to identify aspects of context that must be addressed before or during the execution of QI projects and plan strategies to modify context for increased success. Additional work by QI researchers to improve the theory, refine measurement approaches, and validate MUSIQ as a predictive tool in a wider range of QI efforts is necessary.

The Turkish adaptation of scale to measure patient perceptions of the quality of nursing care and related hospital services: A validity and reliability study.

PubMed

Oren, Besey; Zengin, Neriman; Yildiz, Nebahat

2016-01-01

This study aimed to test the validity and reliability of a version of the tool developed in Sri Lanka in 2011 to assess patient perceptions of the quality of nursing care and related hospital services created for use with Turkish patients. This methodological study was conducted between November 2013 and November 2014 after obtaining ethical approval and organizational permission. Data was collected during discharge from 180 adult patients who were hospitalized for at least 3 days at a medical school hospital located in Istanbul. After language validation, validity and reliability analyses of the scale were conducted. Content validity, content validity index (CVI), construct validity, and exploratory factor analysis were assessed and examined, and reliability was tested using the Cronbach's alpha coefficient and item-total correlations. Mean CVI was found to be 0.95, which is above expected value. Exploratory factor analysis revealed 4 factors with eigenvalues above 1, which explained 82.4% of total variance in the Turkish version of the tool to measure patient perceptions of nursing care and other hospital services. Factor loading for each item was ≥.40. Cronbach's alpha coefficient of sub-dimensions and total scale were found to be 0.84-0.98 and 0.98, respectively. Item-total correlations ranged from 0.56 to 0.83 for the entire group, which was above expected values. The Turkish version of the scale to assess patient perceptions of the quality of nursing care and related hospital services, which comprised 4 sub-dimensions and 36 items, was found to be valid and reliable for use with the Turkish population.

Integration of Personalized Healthcare Pathways in an ICT Platform for Diabetes Managements: A Small-Scale Exploratory Study.

PubMed

Fico, Giuseppe; Fioravanti, Alessio; Arredondo, Maria Teresa; Gorman, Joe; Diazzi, Chiara; Arcuri, Giovanni; Conti, Claudio; Pirini, Giampiero

2016-01-01

The availability of new tools able to support patient monitoring and personalized care may substantially improve the quality of chronic disease management. A personalized healthcare pathway (PHP) has been developed for diabetes disease management and integrated into an information and communication technology system to accomplish a shift from organization-centered care to patient-centered care. A small-scale exploratory study was conducted to test the platform. Preliminary results are presented that shed light on how the PHP influences system usage and performance outcomes.

Explorative visual analytics on interval-based genomic data and their metadata.

PubMed

Jalili, Vahid; Matteucci, Matteo; Masseroli, Marco; Ceri, Stefano

2017-12-04

With the wide-spreading of public repositories of NGS processed data, the availability of user-friendly and effective tools for data exploration, analysis and visualization is becoming very relevant. These tools enable interactive analytics, an exploratory approach for the seamless "sense-making" of data through on-the-fly integration of analysis and visualization phases, suggested not only for evaluating processing results, but also for designing and adapting NGS data analysis pipelines. This paper presents abstractions for supporting the early analysis of NGS processed data and their implementation in an associated tool, named GenoMetric Space Explorer (GeMSE). This tool serves the needs of the GenoMetric Query Language, an innovative cloud-based system for computing complex queries over heterogeneous processed data. It can also be used starting from any text files in standard BED, BroadPeak, NarrowPeak, GTF, or general tab-delimited format, containing numerical features of genomic regions; metadata can be provided as text files in tab-delimited attribute-value format. GeMSE allows interactive analytics, consisting of on-the-fly cycling among steps of data exploration, analysis and visualization that help biologists and bioinformaticians in making sense of heterogeneous genomic datasets. By means of an explorative interaction support, users can trace past activities and quickly recover their results, seamlessly going backward and forward in the analysis steps and comparative visualizations of heatmaps. GeMSE effective application and practical usefulness is demonstrated through significant use cases of biological interest. GeMSE is available at http://www.bioinformatics.deib.polimi.it/GeMSE/ , and its source code is available at https://github.com/Genometric/GeMSE under GPLv3 open-source license.

Designing and psychoanalysis: A comprehensive questionnaire on coping with domestic violence against women in Iranian society

PubMed Central

Mohhamadian, Zeinab; Rohani, Camelia; Jamshidi, Tayebeh

2018-01-01

Background Domestic violence is the third sociopathology after addiction and child abuse in Iran. Fifty-six percent of Iranian women in the range of 17–32 years old are exposed to the highest domestic violence. Objective: The aim of this study was to design and psychoanalyze a comprehensive questionnaire on coping with domestic violence against women in Iranian society. Methods This study was carried out on a random sample of women exposed to domestic violence and referred to the health and care center of Shahid Beheshti University of Medical Sciences in Tehran, and Forensic Medical Centers in Urmia city (Iran), in 2017. Two hundred questionnaires were distributed among the participants. One hundred sixty-eight questionnaires were returned to the researchers for data analysis. Eight of those were excluded from the analysis because of incompleteness. Finally, exploratory factor analysis was performed. Results After reviewing the literature, a questionnaire with 32 items was developed. Content validity ratio (0.95) and content validity index (0.97) were obtained. The results of exploratory factor analysis indicated that the questionnaire explained 69.34% of the data variance. Cronbach’s alpha coefficient, and test-retest methods were used for determining the reliability and the obtained value, which were 0.82 and 0.81, respectively. Conclusion Validity and reliability of the questionnaire with 32 items were confirmed. The tool can be utilized to measure how women cope with domestic violence. PMID:29588816

Exploratory Bi-Factor Analysis: The Oblique Case

ERIC Educational Resources Information Center

Jennrich, Robert I.; Bentler, Peter M.

2012-01-01

Bi-factor analysis is a form of confirmatory factor analysis originally introduced by Holzinger and Swineford ("Psychometrika" 47:41-54, 1937). The bi-factor model has a general factor, a number of group factors, and an explicit bi-factor structure. Jennrich and Bentler ("Psychometrika" 76:537-549, 2011) introduced an exploratory form of bi-factor…

Integrating High-Dimensional Transcriptomics and Image Analysis Tools into Early Safety Screening: Proof of Concept for a New Early Drug Development Strategy.

PubMed

Verbist, Bie M P; Verheyen, Geert R; Vervoort, Liesbet; Crabbe, Marjolein; Beerens, Dominiek; Bosmans, Cindy; Jaensch, Steffen; Osselaer, Steven; Talloen, Willem; Van den Wyngaert, Ilse; Van Hecke, Geert; Wuyts, Dirk; Van Goethem, Freddy; Göhlmann, Hinrich W H

2015-10-19

During drug discovery and development, the early identification of adverse effects is expected to reduce costly late-stage failures of candidate drugs. As risk/safety assessment takes place rather late during the development process and due to the limited ability of animal models to predict the human situation, modern unbiased high-dimensional biology readouts are sought, such as molecular signatures predictive for in vivo response using high-throughput cell-based assays. In this theoretical proof of concept, we provide findings of an in-depth exploration of a single chemical core structure. Via transcriptional profiling, we identified a subset of close analogues that commonly downregulate multiple tubulin genes across cellular contexts, suggesting possible spindle poison effects. Confirmation via a qualified toxicity assay (in vitro micronucleus test) and the identification of a characteristic aggregate-formation phenotype via exploratory high-content imaging validated the initial findings. SAR analysis triggered the synthesis of a new set of compounds and allowed us to extend the series showing the genotoxic effect. We demonstrate the potential to flag toxicity issues by utilizing data from exploratory experiments that are typically generated for target evaluation purposes during early drug discovery. We share our thoughts on how this approach may be incorporated into drug development strategies.

Psychometric properties of DAPonDEN: definitions, attitudes and practices in relation to diarrhea during enteral nutrition questionnaire.

PubMed

Majid, Hazreen A; Bin Sidek, Muhamad Adam; Chinna, Karuthan

2013-01-01

To investigate the psychometric properties of the developed 21 item questionnaire to measure definitions, attitudes and management practices in relation to diarrhea during enteral nutrition (DAPonDEN). Data were analyzed using exploratory factor analysis from a cross sectional study of 102 nurses aged 18 and over, conducted from December 2011 to February 2012 in Malaysia. Face and content validity of DAPonDEN were first evaluated by few expert panels and patients. For this study, adult nurses were recruited from the adult wards. In the final model, three items in DAPonDEN were dropped. In the exploratory factor analysis, five factors were extracted that explained a total of 55% of the variation in the remaining 18 items. The Kaiser-Meyer-Olkin (KMO) value was 0.723. For definition, there were two underlying factors: 'Key items in defining diarrhea' and 'non-key items in defining diarrhea'. For attitude there was a single factor. For practice, there were two underlying factors: 'enteral nutrition (EN) related' and 'awareness related'. The items in each of the underlying dimensions seem to measure the respective concepts for definition, attitude and practices adequately. The 18-items DAPonDEN instrument can be a suitable education tool to be used in relation to diarrhea during EN. Copyright © 2013 Elsevier Inc. All rights reserved.

A Navigation Analysis Tool (NAT) to assess spatial behavior in open-field and structured mazes.

PubMed

Jarlier, Frédéric; Arleo, Angelo; Petit, Géraldine H; Lefort, Julie M; Fouquet, Céline; Burguière, Eric; Rondi-Reig, Laure

2013-05-15

Spatial navigation calls upon mnemonic capabilities (e.g. remembering the location of a rewarding site) as well as adaptive motor control (e.g. fine tuning of the trajectory according to the ongoing sensory context). To study this complex process by means of behavioral measurements it is necessary to quantify a large set of meaningful parameters on multiple time scales (from milliseconds to several minutes), and to compare them across different paradigms. Moreover, the issue of automating the behavioral analysis is critical to cope with the consequent computational load and the sophistication of the measurements. We developed a general purpose Navigation Analysis Tool (NAT) that provides an integrated architecture consisting of a data management system (implemented in MySQL), a core analysis toolbox (in MATLAB), and a graphical user interface (in JAVA). Its extensive characterization of trajectories over time, from exploratory behavior to goal-oriented navigation with decision points using a wide range of parameters, makes NAT a powerful analysis tool. In particular, NAT supplies a new set of specific measurements assessing performances in multiple intersection mazes and allowing navigation strategies to be discriminated (e.g. in the starmaze). Its user interface enables easy use while its modular organization provides many opportunities of extension and customization. Importantly, the portability of NAT to any type of maze and environment extends its exploitation far beyond the field of spatial navigation. Copyright © 2013 Elsevier B.V. All rights reserved.

[Construction of competency model of 'excellent doctor' in Chinese medicine].

PubMed

Jin, Aning; Tian, Yongquan; Zhao, Taiyang

2014-05-01

To evaluate outstanding and ordinary persons from personal characteristics using competency as the important criteria, which is the future direction of medical education reform. We carried on a behavior event interview about famous doctors of old traditional Chinese medicine, compiled competency dictionary, proceed control prediction test. SPSS and AMOS were used to be data analysis tools on statistics. We adopted the model of peer assessment and contrast to carry out empirical research. This project has carried on exploratory factor analysis and confirmatory factor analysis, established a "5A" competency model which include moral ability, thinking ability, communication ability, learning and practical ability. Competency model of "excellent doctor" in Chinese medicine has been validated, with good reliability and validity, and embodies the characteristics of traditional Chinese medicine personnel training, with theoretical and practical significance for excellence in medicine physician training.

Using cluster analysis to organize and explore regional GPS velocities

USGS Publications Warehouse

Simpson, Robert W.; Thatcher, Wayne; Savage, James C.

2012-01-01

Cluster analysis offers a simple visual exploratory tool for the initial investigation of regional Global Positioning System (GPS) velocity observations, which are providing increasingly precise mappings of actively deforming continental lithosphere. The deformation fields from dense regional GPS networks can often be concisely described in terms of relatively coherent blocks bounded by active faults, although the choice of blocks, their number and size, can be subjective and is often guided by the distribution of known faults. To illustrate our method, we apply cluster analysis to GPS velocities from the San Francisco Bay Region, California, to search for spatially coherent patterns of deformation, including evidence of block-like behavior. The clustering process identifies four robust groupings of velocities that we identify with four crustal blocks. Although the analysis uses no prior geologic information other than the GPS velocities, the cluster/block boundaries track three major faults, both locked and creeping.

Comparisons of Exploratory and Confirmatory Factor Analysis.

ERIC Educational Resources Information Center

Daniel, Larry G.

Historically, most researchers conducting factor analysis have used exploratory methods. However, more recently, confirmatory factor analytic methods have been developed that can directly test theory either during factor rotation using "best fit" rotation methods or during factor extraction, as with the LISREL computer programs developed…

Measuring Libraries' Use of YouTube as a Promotional Tool: An Exploratory Study and Proposed Best Practices

ERIC Educational Resources Information Center

Colburn, Selene; Haines, Laura

2012-01-01

With the emergence of social networking and Web 2.0 applications, libraries have the means to reach users through interactive Web-based tools patrons already use in their personal lives, such as Facebook and YouTube. In this study the authors aim to understand the ways that libraries are using YouTube for outreach purposes. Using a methodology…

An Exploratory Study of the Use of Video as an Instructional Tool in an Introductory C# Programming Course

ERIC Educational Resources Information Center

Sharp, Jason H.; Schultz, Leah A.

2013-01-01

This study examines the background of introductory programming concepts and the use of video as an instructional tool. Thirty-five students in an introductory C# class were administered a survey to report data on demographics, usage on video, and opinions about the video. Students were in online and face to face sections of the class. Data were…

Development and Initial Validation of the NyTid Test: A Movement Assessment Tool for Compulsory School Pupils

ERIC Educational Resources Information Center

Tidén, Anna; Lundqvist, Carolina; Nyberg, Marie

2015-01-01

This study presents the development process and initial validation of the NyTid test, a process-oriented movement assessment tool for compulsory school pupils. A sample of 1,260 (627 girls and 633 boys; mean age of 14.39) Swedish school children participated in the study. In the first step, exploratory factor analyses (EFAs) were performed in…

Observational Learning of Tool Use in Children: Investigating Cultural Spread through Diffusion Chains and Learning Mechanisms through Ghost Displays

ERIC Educational Resources Information Center

Hopper, Lydia M.; Flynn, Emma G.; Wood, Lara A. N.; Whiten, Andrew

2010-01-01

In the first of two experiments, we demonstrate the spread of a novel form of tool use across 20 "cultural generations" of child-to-child transmission. An experimentally seeded technique spread with 100% fidelity along twice as many "generations" as has been investigated in recent exploratory "diffusion" experiments of this type. This contrasted…

Improving Skill Development: An Exploratory Study Comparing a Philosophical and an Applied Ethical Analysis Technique

ERIC Educational Resources Information Center

Al-Saggaf, Yeslam; Burmeister, Oliver K.

2012-01-01

This exploratory study compares and contrasts two types of critical thinking techniques; one is a philosophical and the other an applied ethical analysis technique. The two techniques analyse an ethically challenging situation involving ICT that a recent media article raised to demonstrate their ability to develop the ethical analysis skills of…

Factor Retention in Exploratory Factor Analysis: A Comparison of Alternative Methods.

ERIC Educational Resources Information Center

Mumford, Karen R.; Ferron, John M.; Hines, Constance V.; Hogarty, Kristine Y.; Kromrey, Jeffery D.

This study compared the effectiveness of 10 methods of determining the number of factors to retain in exploratory common factor analysis. The 10 methods included the Kaiser rule and a modified Kaiser criterion, 3 variations of parallel analysis, 4 regression-based variations of the scree procedure, and the minimum average partial procedure. The…

Seeing the Forest Despite the Trees: The Benefit of Exploratory Data Analysis to Program Evaluation Research.

ERIC Educational Resources Information Center

Sinacore, James M.; And Others

1992-01-01

It is argued that there is a benefit to applying techniques of exploratory data analysis (EDA) to program evaluation. The evaluation of a rehabilitation program for people with rheumatoid arthritis (20 subjects and 21 comparisons) through EDA supports the argument, indicating outcomes more precisely than conventional analysis of variance. (SLD)

Analysis of vestibular-balance symptoms according to symptom duration: dimensionality of the Vertigo Symptom Scale-short form.

PubMed

Kondo, Masaki; Kiyomizu, Kensuke; Goto, Fumiyuki; Kitahara, Tadashi; Imai, Takao; Hashimoto, Makoto; Shimogori, Hiroaki; Ikezono, Tetsuo; Nakayama, Meiho; Watanabe, Norio; Akechi, Tatsuo

2015-01-22

Dizziness or vertigo is associated with both vestibular-balance and psychological factors. A common assessment tool is the Vertigo Symptom Scale (VSS) -short form, which has two subscales: vestibular-balance and autonomic-anxiety. Despite frequent use, the factor structure of the VSS-short form has yet to be confirmed. Here, we clarified the factor structure of the VSS-short form, and assessed the validity and reliability of the Japanese version of this tool. We conducted a cross-sectional, multicenter, psychometric evaluation of patients with non-central dizziness or vertigo persisting for longer than 1 month. Participants completed the VSS-short form, the Dizziness Handicap Inventory, and the Hospital Anxiety and Depression Scale. They also completed the VSS-short form a second time 1-3 days later. The questionnaire was translated into Japanese and cross-culturally adapted. We conducted a confirmatory factor analysis followed by an exploratory factor analysis. Convergent and discriminant validity, internal consistency, and test-retest reliability were evaluated. The total sample and retest sample consisted of 159 and 79 participants, respectively. Model-fitting for a two-subscale structure in a confirmatory factor analysis was poor. An exploratory factor analysis produced a three-factor structure: long-duration vestibular-balance symptoms, short-duration vestibular-balance symptoms, and autonomic-anxiety symptoms. Regarding convergent and discriminant validity, all hypotheses were clearly supported. We obtained high Cronbach's α coefficients for the total score and subscales, ranging from 0.758 to 0.866. Total score and subscale interclass correlation coefficients for test-retest reliability were acceptable, ranging from 0.867 to 0.897. The VSS-short form has a three-factor structure that was cross-culturally well-matched with previous data from the VSS-long version. Thus, it was suggested that vestibular-balance symptoms can be analyzed separately according to symptom duration, which may reflect pathophysiological factors. The VSS-short form can be used to evaluate vestibular-balance symptoms and autonomic-anxiety symptoms, as well as the duration of vestibular-balance symptoms. Further research using the VSS-short form should be required in other languages and populations.

Construction and validation of a psychometric scale to measure awareness on consumption of irradiated foods.

PubMed

Rusin, Tiago; Araújo, Wilma Maria Coelho; Faiad, Cristiane; Vital, Helio de Carvalho

2017-01-01

Although food irradiation has been used to ensure food safety, most consumers are unaware of the basic concepts of irradiation, misinterpreting information and demonstrating a negative attitude toward food items treated with ionizing radiation. This research is aimed at developing a tool to assess the awareness on the consumption of irradiated food. The sample was composed by employees from different social classes and school levels of Brazilian universities, who reflect the end-users of the irradiated foods, representative of the views of lay consumers. The total number of respondents was 614. In order to assess the Awareness Scale on Consumption of Irradiated Foods (ASCIF), an instrument has been developed and submitted to semantic tests and judge's validation. The instrument, that included 32 items, contemplated four construct factors: concepts (6 items), awareness (10 items), labeling (7 items) and safety of Irradiated foods (9 items). The data were collected by electronic means, through the site . By using exploratory factorial analysis (EFA) 4 factors have been found. They summarize the 31 items included. These factors account for 64.32% of the variance of the items and the internal consistency of the factors has been deemed good. An Exploratory Structural Equation Modeling (ESEM) was conducted to evaluate the factor structure of the instrument. The proposed instrument has been found to meet consistency criteria as an efficient tool for indicating assessing potential challenges and opportunities for the irradiated food markets.

Validation of the self regulation questionnaire as a measure of health in quality of life research

PubMed Central

2009-01-01

Objectives Several epidemiological studies address psychosomatic 'self regulation' as a measure of quality of life aspects. However, although widely used in studies with a focus on complementary cancer treatment, and recognized to be associated with better survival of cancer patients, it is unclear what the 'self regulation' questionnaire exactly measures. Design and setting In a sample of 444 individuals (27% healthy, 33% cancer, 40% other internal diseases), we performed reliability and exploratory factor analyses, and correlated the 16-item instrument with external measures such as the Hospital Anxiety and Depression Scale, the Herdecke Quality of Life questionnaire, and autonomic regulation questionnaire. Results The 16-item pool had a very good internal consistency (Cronbach's alpha = 0.948) and satisfying/good (rrt = 0.796) test-retest reliability after 3 months. Exploratory factor analysis indicated 2 sub-constructs: (1) Ability to change behaviour in order to reach goals, and (2) Achieve satisfaction and well-being. Both sub-scales correlated well with quality of life aspects, particularly with Initiative Power/Interest, Social Interactions, Mental Balance, and negatively with anxiety and depression. Conclusions The Self Regulation Questionnaire (SRQ) was found to be a valid and reliable tool which measures unique psychosomatic abilities. Self regulation deals with competence and autonomy and can be regarded as a problem solving capacity in terms of an active adaptation to stressful situations to restore wellbeing. The tool is an interesting option to be used particularly in complementary medicine research with a focus on behavioural modification. PMID:19541580

A Toolkit for ARB to Integrate Custom Databases and Externally Built Phylogenies

DOE PAGES

Essinger, Steven D.; Reichenberger, Erin; Morrison, Calvin; ...

2015-01-21

Researchers are perpetually amassing biological sequence data. The computational approaches employed by ecologists for organizing this data (e.g. alignment, phylogeny, etc.) typically scale nonlinearly in execution time with the size of the dataset. This often serves as a bottleneck for processing experimental data since many molecular studies are characterized by massive datasets. To keep up with experimental data demands, ecologists are forced to choose between continually upgrading expensive in-house computer hardware or outsourcing the most demanding computations to the cloud. Outsourcing is attractive since it is the least expensive option, but does not necessarily allow direct user interaction with themore » data for exploratory analysis. Desktop analytical tools such as ARB are indispensable for this purpose, but they do not necessarily offer a convenient solution for the coordination and integration of datasets between local and outsourced destinations. Therefore, researchers are currently left with an undesirable tradeoff between computational throughput and analytical capability. To mitigate this tradeoff we introduce a software package to leverage the utility of the interactive exploratory tools offered by ARB with the computational throughput of cloud-based resources. Our pipeline serves as middleware between the desktop and the cloud allowing researchers to form local custom databases containing sequences and metadata from multiple resources and a method for linking data outsourced for computation back to the local database. Furthermore, a tutorial implementation of the toolkit is provided in the supporting information, S1 Tutorial.« less

A Toolkit for ARB to Integrate Custom Databases and Externally Built Phylogenies

PubMed Central

Essinger, Steven D.; Reichenberger, Erin; Morrison, Calvin; Blackwood, Christopher B.; Rosen, Gail L.

2015-01-01

Researchers are perpetually amassing biological sequence data. The computational approaches employed by ecologists for organizing this data (e.g. alignment, phylogeny, etc.) typically scale nonlinearly in execution time with the size of the dataset. This often serves as a bottleneck for processing experimental data since many molecular studies are characterized by massive datasets. To keep up with experimental data demands, ecologists are forced to choose between continually upgrading expensive in-house computer hardware or outsourcing the most demanding computations to the cloud. Outsourcing is attractive since it is the least expensive option, but does not necessarily allow direct user interaction with the data for exploratory analysis. Desktop analytical tools such as ARB are indispensable for this purpose, but they do not necessarily offer a convenient solution for the coordination and integration of datasets between local and outsourced destinations. Therefore, researchers are currently left with an undesirable tradeoff between computational throughput and analytical capability. To mitigate this tradeoff we introduce a software package to leverage the utility of the interactive exploratory tools offered by ARB with the computational throughput of cloud-based resources. Our pipeline serves as middleware between the desktop and the cloud allowing researchers to form local custom databases containing sequences and metadata from multiple resources and a method for linking data outsourced for computation back to the local database. A tutorial implementation of the toolkit is provided in the supporting information, S1 Tutorial. Availability: http://www.ece.drexel.edu/gailr/EESI/tutorial.php. PMID:25607539

Construction and validation of a psychometric scale to measure awareness on consumption of irradiated foods

PubMed Central

2017-01-01

Although food irradiation has been used to ensure food safety, most consumers are unaware of the basic concepts of irradiation, misinterpreting information and demonstrating a negative attitude toward food items treated with ionizing radiation. This research is aimed at developing a tool to assess the awareness on the consumption of irradiated food. The sample was composed by employees from different social classes and school levels of Brazilian universities, who reflect the end-users of the irradiated foods, representative of the views of lay consumers. The total number of respondents was 614. In order to assess the Awareness Scale on Consumption of Irradiated Foods (ASCIF), an instrument has been developed and submitted to semantic tests and judge’s validation. The instrument, that included 32 items, contemplated four construct factors: concepts (6 items), awareness (10 items), labeling (7 items) and safety of Irradiated foods (9 items). The data were collected by electronic means, through the site . By using exploratory factorial analysis (EFA) 4 factors have been found. They summarize the 31 items included. These factors account for 64.32% of the variance of the items and the internal consistency of the factors has been deemed good. An Exploratory Structural Equation Modeling (ESEM) was conducted to evaluate the factor structure of the instrument. The proposed instrument has been found to meet consistency criteria as an efficient tool for indicating assessing potential challenges and opportunities for the irradiated food markets. PMID:29220375

A Student Assessment Tool for Standardized Patient Simulations (SAT-SPS): Psychometric analysis.

PubMed

Castro-Yuste, Cristina; García-Cabanillas, María José; Rodríguez-Cornejo, María Jesús; Carnicer-Fuentes, Concepción; Paloma-Castro, Olga; Moreno-Corral, Luis Javier

2018-05-01

The evaluation of the level of clinical competence acquired by the student is a complex process that must meet various requirements to ensure its quality. The psychometric analysis of the data collected by the assessment tools used is a fundamental aspect to guarantee the student's competence level. To conduct a psychometric analysis of an instrument which assesses clinical competence in nursing students at simulation stations with standardized patients in OSCE-format tests. The construct of clinical competence was operationalized as a set of observable and measurable behaviors, measured by the newly-created Student Assessment Tool for Standardized Patient Simulations (SAT-SPS), which was comprised of 27 items. The categories assigned to the items were 'incorrect or not performed' (0), 'acceptable' (1), and 'correct' (2). 499 nursing students. Data were collected by two independent observers during the assessment of the students' performance at a four-station OSCE with standardized patients. Descriptive statistics were used to summarize the variables. The difficulty levels and floor and ceiling effects were determined for each item. Reliability was analyzed using internal consistency and inter-observer reliability. The validity analysis was performed considering face validity, content and construct validity (through exploratory factor analysis), and criterion validity. Internal reliability and inter-observer reliability were higher than 0.80. The construct validity analysis suggested a three-factor model accounting for 37.1% of the variance. These three factors were named 'Nursing process', 'Communication skills', and 'Safe practice'. A significant correlation was found between the scores obtained and the students' grades in general, as well as with the grades obtained in subjects with clinical content. The assessment tool has proven to be sufficiently reliable and valid for the assessment of the clinical competence of nursing students using standardized patients. This tool has three main components: the nursing process, communication skills, and safety management. Copyright © 2018 Elsevier Ltd. All rights reserved.

Interactive Visual Analysis within Dynamic Ocean Models

NASA Astrophysics Data System (ADS)

Butkiewicz, T.

2012-12-01

The many observation and simulation based ocean models available today can provide crucial insights for all fields of marine research and can serve as valuable references when planning data collection missions. However, the increasing size and complexity of these models makes leveraging their contents difficult for end users. Through a combination of data visualization techniques, interactive analysis tools, and new hardware technologies, the data within these models can be made more accessible to domain scientists. We present an interactive system that supports exploratory visual analysis within large-scale ocean flow models. The currents and eddies within the models are illustrated using effective, particle-based flow visualization techniques. Stereoscopic displays and rendering methods are employed to ensure that the user can correctly perceive the complex 3D structures of depth-dependent flow patterns. Interactive analysis tools are provided which allow the user to experiment through the introduction of their customizable virtual dye particles into the models to explore regions of interest. A multi-touch interface provides natural, efficient interaction, with custom multi-touch gestures simplifying the otherwise challenging tasks of navigating and positioning tools within a 3D environment. We demonstrate the potential applications of our visual analysis environment with two examples of real-world significance: Firstly, an example of using customized particles with physics-based behaviors to simulate pollutant release scenarios, including predicting the oil plume path for the 2010 Deepwater Horizon oil spill disaster. Secondly, an interactive tool for plotting and revising proposed autonomous underwater vehicle mission pathlines with respect to the surrounding flow patterns predicted by the model; as these survey vessels have extremely limited energy budgets, designing more efficient paths allows for greater survey areas.

Development and validation of the Acculturative Stress Scale for Chinese College Students in the United States (ASSCS).

PubMed

Bai, Jieru

2016-04-01

Chinese students are the biggest ethnic group of international students in the United States. This study aims to develop a reliable and valid scale to accurately measure their acculturative stress. A 72-item pool was sent online to Chinese students and a five-factor scale of 32 items was generated by exploratory factor analysis. The five factors included language insufficiency, social isolation, perceived discrimination, academic pressure, and guilt toward family. The Acculturative Stress Scale for Chinese Students demonstrated high reliability and initial validity by predicting depression and life satisfaction. It was the first Chinese scale of acculturative stress developed and validated among a Chinese student sample in the United States. In the future, the scale can be used as a diagnostic tool by mental health professionals and a self-assessment tool by Chinese students. (c) 2016 APA, all rights reserved.

Exploratory and Higher-Order Factor Analyses of the Wechsler Adult Intelligence Scale-Fourth Edition (WAIS-IV) Adolescent Subsample

ERIC Educational Resources Information Center

Canivez, Gary L.; Watkins, Marley W.

2010-01-01

The factor structure of the Wechsler Adult Intelligence Scale-Fourth Edition (WAIS-IV; Wechsler, 2008a) with the adolescent participants (ages 16-19 years; N = 400) in the standardization sample was assessed using exploratory factor analysis, multiple factor extraction criteria, and higher-order exploratory factor analyses. Results from…

The use of exploratory analyses within the National Institute for Health and Care Excellence single technology appraisal process: an evaluation and qualitative analysis.

PubMed

Kaltenthaler, Eva; Carroll, Christopher; Hill-McManus, Daniel; Scope, Alison; Holmes, Michael; Rice, Stephen; Rose, Micah; Tappenden, Paul; Woolacott, Nerys

2016-04-01

As part of the National Institute for Health and Care Excellence (NICE) single technology appraisal (STA) process, independent Evidence Review Groups (ERGs) critically appraise the company submission. During the critical appraisal process the ERG may undertake analyses to explore uncertainties around the company's model and their implications for decision-making. The ERG reports are a central component of the evidence considered by the NICE Technology Appraisal Committees (ACs) in their deliberations. The aim of this research was to develop an understanding of the number and type of exploratory analyses undertaken by the ERGs within the STA process and to understand how these analyses are used by the NICE ACs in their decision-making. The 100 most recently completed STAs with published guidance were selected for inclusion in the analysis. The documents considered were ERG reports, clarification letters, the first appraisal consultation document and the final appraisal determination. Over 400 documents were assessed in this study. The categories of types of exploratory analyses included fixing errors, fixing violations, addressing matters of judgement and the ERG-preferred base case. A content analysis of documents (documentary analysis) was undertaken to identify and extract relevant data, and narrative synthesis was then used to rationalise and present these data. The level and type of detail in ERG reports and clarification letters varied considerably. The vast majority (93%) of ERG reports reported one or more exploratory analyses. The most frequently reported type of analysis in these 93 ERG reports related to the category 'matters of judgement', which was reported in 83 (89%) reports. The category 'ERG base-case/preferred analysis' was reported in 45 (48%) reports, the category 'fixing errors' was reported in 33 (35%) reports and the category 'fixing violations' was reported in 17 (18%) reports. The exploratory analyses performed were the result of issues raised by an ERG in its critique of the submitted economic evidence. These analyses had more influence on recommendations earlier in the STA process than later on in the process. The descriptions of analyses undertaken were often highly specific to a particular STA and could be inconsistent across ERG reports and thus difficult to interpret. Evidence Review Groups frequently conduct exploratory analyses to test or improve the economic evaluations submitted by companies as part of the STA process. ERG exploratory analyses often have an influence on the recommendations produced by the ACs. More in-depth analysis is needed to understand how ERGs make decisions regarding which exploratory analyses should be undertaken. More research is also needed to fully understand which types of exploratory analyses are most useful to ACs in their decision-making. The National Institute for Health Research Health Technology Assessment programme.

Connectivism in Postsecondary Online Courses: An Exploratory Factor Analysis

ERIC Educational Resources Information Center

Hogg, Nanette; Lomicky, Carol S.

2012-01-01

This study explores 465 postsecondary students' experiences in online classes through the lens of connectivism. Downes' 4 properties of connectivism (diversity, autonomy, interactivity, and openness) were used as the study design. An exploratory factor analysis was performed. This study found a 4-factor solution. Subjects indicated that autonomy…

Bootstrap Confidence Intervals for Ordinary Least Squares Factor Loadings and Correlations in Exploratory Factor Analysis

ERIC Educational Resources Information Center

Zhang, Guangjian; Preacher, Kristopher J.; Luo, Shanhong

2010-01-01

This article is concerned with using the bootstrap to assign confidence intervals for rotated factor loadings and factor correlations in ordinary least squares exploratory factor analysis. Coverage performances of "SE"-based intervals, percentile intervals, bias-corrected percentile intervals, bias-corrected accelerated percentile…

Establishing Evidence for Internal Structure Using Exploratory Factor Analysis

ERIC Educational Resources Information Center

Watson, Joshua C.

2017-01-01

Exploratory factor analysis (EFA) is a data reduction technique used to condense data into smaller sets of summary variables by identifying underlying factors potentially accounting for patterns of collinearity among said variables. Using an illustrative example, the 5 general steps of EFA are described with best practices for decision making…

Unmanned Multiple Exploratory Probe System (MEPS) for Mars observation. Volume 1: Trade analysis and design

NASA Technical Reports Server (NTRS)

Adams, Daniel E.; Crumbly, Christopher M.; Delp, Steve E.; Guidry, Michelle A.; Lisano, Michael E.; Packard, James D.; Striepe, Scott A.

1988-01-01

This report presents the unmanned Multiple Exploratory Probe Systems (MEPS), a space vehicle designed to observe the planet Mars in preparation for manned missions. The options considered for each major element are presented as a trade analysis, and the final vehicle design is defined.

Sexual Harassment Retaliation Climate DEOCS 4.1 Construct Validity Summary

DTIC Science & Technology

2017-08-01

exploratory factor analysis, and bivariate correlations (sample 1) 2) To determine the factor structure of the remaining (final) questions via...statistics, reliability analysis, exploratory factor analysis, and bivariate correlations of the prospective Sexual Harassment Retaliation Climate...reported by the survey requester). For information regarding the composition of sample, refer to Table 1. Table 1. Sample 1 Demographics n

Toward Reflective Judgment in Exploratory Factor Analysis Decisions: Determining the Extraction Method and Number of Factors To Retain.

ERIC Educational Resources Information Center

Knight, Jennifer L.

This paper considers some decisions that must be made by the researcher conducting an exploratory factor analysis. The primary purpose is to aid the researcher in making informed decisions during the factor analysis instead of relying on defaults in statistical programs or traditions of previous researchers. Three decision areas are addressed.…

Data Science Programs in U.S. Higher Education: An Exploratory Content Analysis of Program Description, Curriculum Structure, and Course Focus

ERIC Educational Resources Information Center

Tang, Rong; Sae-Lim, Watinee

2016-01-01

In this study, an exploratory content analysis of 30 randomly selected Data Science (DS) programs from eight disciplines revealed significant gaps in current DS education in the United States. The analysis centers on linguistic patterns of program descriptions, curriculum requirements, and DS course focus as pertaining to key skills and domain…

Intensive mothering ideology in France: A pilot study.

PubMed

Loyal, D; Sutter Dallay, A-L; Rascle, N

2017-12-01

The aim of this pilot study was to adapt the intensive mothering ideology concept in a French sample and to get an assessment tool. First, the Intensive Parenting Attitudes Questionnaire (IPAQ), a U.S. scale comprising 25 items, was translated and submitted online to French mothers and mothers-to-be (n=250). Structural validity was tested through confirmatory factor analysis with poor results. Secondly, to increase the cultural validity of a new tool, new items were derived from French women speech. French mothers and mothers-to-be (n=22) were asked about their views regarding motherhood and childcare (semi-structured interviews). A thematic content analysis was performed with good inter-judge agreement (0.53-0.86) and 27 items were created. Finally, the total set of 52 items was submitted online to French mothers and mothers-to-be (n=474). The structure was tested through exploratory factor analysis. A new tool called the Measure of Intensive Mothering Ideology (MIMI) was obtained. This 21 items scale with 6 dimensions (Essentialism, Consuming Fulfillment, Child-centrism, Challenge, Sacrifice and Stimulation) explains 59.75% of variance. Internal consistencies were satisfactory (0.61-0.83) and most dimensions were positively and moderately correlated (0.17-0.38). The MIMI is the first French-language scale assessing IMI and offers interesting research avenues notably regarding perinatal parental adaptation. Copyright © 2017 L'Encéphale, Paris. Published by Elsevier Masson SAS. All rights reserved.

A MS-lesion pattern discrimination plot based on geostatistics.

PubMed

Marschallinger, Robert; Schmidt, Paul; Hofmann, Peter; Zimmer, Claus; Atkinson, Peter M; Sellner, Johann; Trinka, Eugen; Mühlau, Mark

2016-03-01

A geostatistical approach to characterize MS-lesion patterns based on their geometrical properties is presented. A dataset of 259 binary MS-lesion masks in MNI space was subjected to directional variography. A model function was fit to express the observed spatial variability in x, y, z directions by the geostatistical parameters Range and Sill. Parameters Range and Sill correlate with MS-lesion pattern surface complexity and total lesion volume. A scatter plot of ln(Range) versus ln(Sill), classified by pattern anisotropy, enables a consistent and clearly arranged presentation of MS-lesion patterns based on geometry: the so-called MS-Lesion Pattern Discrimination Plot. The geostatistical approach and the graphical representation of results are considered efficient exploratory data analysis tools for cross-sectional, follow-up, and medication impact analysis.

Automated Morphological Analysis of Microglia After Stroke.

PubMed

Heindl, Steffanie; Gesierich, Benno; Benakis, Corinne; Llovera, Gemma; Duering, Marco; Liesz, Arthur

2018-01-01

Microglia are the resident immune cells of the brain and react quickly to changes in their environment with transcriptional regulation and morphological changes. Brain tissue injury such as ischemic stroke induces a local inflammatory response encompassing microglial activation. The change in activation status of a microglia is reflected in its gradual morphological transformation from a highly ramified into a less ramified or amoeboid cell shape. For this reason, the morphological changes of microglia are widely utilized to quantify microglial activation and studying their involvement in virtually all brain diseases. However, the currently available methods, which are mainly based on manual rating of immunofluorescent microscopic images, are often inaccurate, rater biased, and highly time consuming. To address these issues, we created a fully automated image analysis tool, which enables the analysis of microglia morphology from a confocal Z-stack and providing up to 59 morphological features. We developed the algorithm on an exploratory dataset of microglial cells from a stroke mouse model and validated the findings on an independent data set. In both datasets, we could demonstrate the ability of the algorithm to sensitively discriminate between the microglia morphology in the peri-infarct and the contralateral, unaffected cortex. Dimensionality reduction by principal component analysis allowed to generate a highly sensitive compound score for microglial shape analysis. Finally, we tested for concordance of results between the novel automated analysis tool and the conventional manual analysis and found a high degree of correlation. In conclusion, our novel method for the fully automatized analysis of microglia morphology shows excellent accuracy and time efficacy compared to traditional analysis methods. This tool, which we make openly available, could find application to study microglia morphology using fluorescence imaging in a wide range of brain disease models.

Infrared imaging spectroscopy and chemometric tools for in situ analysis of an imiquimod pharmaceutical preparation presented as cream

NASA Astrophysics Data System (ADS)

Carneiro, Renato Lajarim; Poppi, Ronei Jesus

2014-01-01

In the present work the homogeneity of a pharmaceutical formulation presented as a cream was studied using infrared imaging spectroscopy and chemometric methodologies such as principal component analysis (PCA) and multivariate curve resolution with alternating least squares (MCR-ALS). A cream formulation, presented as an emulsion, was prepared using imiquimod as the active pharmaceutical ingredient (API) and the excipients: water, vaseline, an emulsifier and a carboxylic acid in order to dissolve the API. After exposure at 45 °C during 3 months to perform accelerated stability test, the presence of some crystals was observed, indicating homogeneity problems in the formulation. PCA exploratory analysis showed that the crystal composition was different from the composition of the emulsion, since the score maps presented crystal structures in the emulsion. MCR-ALS estimated the spectra of the crystals and the emulsion. The crystals presented amine and C-H bands, suggesting that the precipitate was a salt formed by carboxylic acid and imiquimod. These results indicate the potential of infrared imaging spectroscopy in conjunction with chemometric methodologies as an analytical tool to ensure the quality of cream formulations in the pharmaceutical industry.

The brief serenity scale: a psychometric analysis of a measure of spirituality and well-being.

PubMed

Kreitzer, Mary Jo; Gross, Cynthia R; Waleekhachonloet, On-anong; Reilly-Spong, Maryanne; Byrd, Marcia

2009-03-01

This article describes a factor analysis of a 22-item version of the Serenity Scale, a tool that measures spirituality and well-being. A sample of 87 participants, enrolled in a National Institutes of Health-funded clinical trial examining the impact of mindfulness-based stress reduction on symptom management post-solid organ transplantation, completed the abbreviated instrument. Exploratory factor analysis yielded three subscales: acceptance, inner haven, and trust. The Serenity Scale was positively associated with positive affect and mindful awareness and inversely related to negative affect, anxiety, depression, health distress and transplant-related stress. Serenity, a dimension of spirituality that is secular and distinct from religious orientation or religiosity, shows promise as a tool that could be used to measure outcomes of nursing interventions that improve health and well-being. Spirituality is recognized as being an essential component of holistic nursing practice. As nurses expand their use of spiritual interventions, it is important to document outcomes related to nursing care. The Serenity Scale appears to capture a dimension of spirituality, a state of acceptance, inner haven and trust that is distinct from other spirituality instruments.

Use of the Screening Tool for Autism in Two-Year-Olds (STAT) for Children under 24 Months: An Exploratory Study

ERIC Educational Resources Information Center

Stone, Wendy L.; McMahon, Caitlin R.; Henderson, Lynnette M.

2008-01-01

The study examined the properties of the Screening Tool for Autism in Two-Year-Olds (STAT) for children under 24 months. The STAT provides a standard context for observing social-communicative behavior in play, imitation, and communication. Seventy-one children received the STAT between 12 and 23 months of age and a follow-up diagnostic evaluation…

iMindMap as an Innovative Tool in Teaching and Learning Accounting: An Exploratory Study

ERIC Educational Resources Information Center

Wan Jusoh, Wan Noor Hazlina; Ahmad, Suraya

2016-01-01

Purpose: The purpose of this study is to explore the use of iMindMap software as an interactive tool in the teaching and learning method and also to be able to consider iMindMap as an alternative instrument in achieving the ultimate learning outcome. Design/Methodology/Approach: Out of 268 students of the management accounting at the University of…

Evaluation and comparison of bioinformatic tools for the enrichment analysis of metabolomics data.

PubMed

Marco-Ramell, Anna; Palau-Rodriguez, Magali; Alay, Ania; Tulipani, Sara; Urpi-Sarda, Mireia; Sanchez-Pla, Alex; Andres-Lacueva, Cristina

2018-01-02

Bioinformatic tools for the enrichment of 'omics' datasets facilitate interpretation and understanding of data. To date few are suitable for metabolomics datasets. The main objective of this work is to give a critical overview, for the first time, of the performance of these tools. To that aim, datasets from metabolomic repositories were selected and enriched data were created. Both types of data were analysed with these tools and outputs were thoroughly examined. An exploratory multivariate analysis of the most used tools for the enrichment of metabolite sets, based on a non-metric multidimensional scaling (NMDS) of Jaccard's distances, was performed and mirrored their diversity. Codes (identifiers) of the metabolites of the datasets were searched in different metabolite databases (HMDB, KEGG, PubChem, ChEBI, BioCyc/HumanCyc, LipidMAPS, ChemSpider, METLIN and Recon2). The databases that presented more identifiers of the metabolites of the dataset were PubChem, followed by METLIN and ChEBI. However, these databases had duplicated entries and might present false positives. The performance of over-representation analysis (ORA) tools, including BioCyc/HumanCyc, ConsensusPathDB, IMPaLA, MBRole, MetaboAnalyst, Metabox, MetExplore, MPEA, PathVisio and Reactome and the mapping tool KEGGREST, was examined. Results were mostly consistent among tools and between real and enriched data despite the variability of the tools. Nevertheless, a few controversial results such as differences in the total number of metabolites were also found. Disease-based enrichment analyses were also assessed, but they were not found to be accurate probably due to the fact that metabolite disease sets are not up-to-date and the difficulty of predicting diseases from a list of metabolites. We have extensively reviewed the state-of-the-art of the available range of tools for metabolomic datasets, the completeness of metabolite databases, the performance of ORA methods and disease-based analyses. Despite the variability of the tools, they provided consistent results independent of their analytic approach. However, more work on the completeness of metabolite and pathway databases is required, which strongly affects the accuracy of enrichment analyses. Improvements will be translated into more accurate and global insights of the metabolome.

Psychometric properties of the Leisure Time Satisfaction Scale in family caregivers.

PubMed

Martínez-Rodríguez, Silvia; Iraurgi, Ioseba; Gómez-Marroquin, Ignacio; Carrasco, María; Ortiz-Marqués, Nuria; Stevens, Alan B

2016-05-01

Despite evidence of the numerous benefits of leisure to health and well-being appropriate tools to assess this construct are lacking. The purpose of this work was to analyse the psychometric properties of the Spanish version of the Leisure Time Satisfaction (LTS). The sample was made up of 1048 primary family caregivers of dependent people. Scale structure was subjected to exploratory and confirmatory factor analysis. Concurrent and convergent validity were assessed by correlation with validated questionnaires for measuring burden (Zarit Burden Inventory - ZBI) and health (SF-36 Health Survey). The results show a high level of internal consistency (Cronbach’s alpha = .938) suitable fit of the dimensional model tested via confirmatory factor analysis (GFI = .925, BBNNFI= .996; IFI= .998, RMSEA= .043), and appropriate convergent validity with similar constructs (r = -.44 with ZBI; and r-values between .226 and .440 with SF-36 dimensions). Psychometric results obtained from the LTS are promising and the results enable us to draw the conclusion that it is a suitable tool for assessing caregivers’ leisure time satisfaction.

Perspectives on social media in and as research: A synthetic review.

PubMed

Lafferty, Natalie T; Manca, Annalisa

2015-04-01

With the growth of social media use in both the private and public spheres, researchers are currently exploring the new opportunities and practices offered by these tools in the research lifecycle. This area is still in its infancy: As methodological approaches and methods are being tested - mainly through pragmatic and exploratory approaches - practices are being shaped and negotiated by the actors involved in research. A further element of complexity is added by the ambivalent status of social media within research activities. They can be both a tool - for recruitment, data collection, analysis - and data - as what constitutes the corpus to be analysed - both in an observational and interactive domain. This synthetic analysis of the literature is aimed at identifying how social media are currently being used in research and how they fit into the research lifecycle. We identify and discuss emerging evidence and trends in the adoption of social media in research, which can be used and applied by psychiatry research practitioners as a framework to inform the development of a personalized research network and social media strategy in research.

Economic Evaluation Plan (EEP) for A Very Early Rehabilitation Trial (AVERT): An international trial to compare the costs and cost-effectiveness of commencing out of bed standing and walking training (very early mobilization) within 24 h of stroke onset with usual stroke unit care.

PubMed

Sheppard, Lauren; Dewey, Helen; Bernhardt, Julie; Collier, Janice M; Ellery, Fiona; Churilov, Leonid; Tay-Teo, Kiu; Wu, Olivia; Moodie, Marj

2016-06-01

A key objective of A Very Early Rehabilitation Trial is to determine if the intervention, very early mobilisation following stroke, is cost-effective. Resource use data were collected to enable an economic evaluation to be undertaken and a plan for the main economic analyses was written prior to the completion of follow up data collection. To report methods used to collect resource use data, pre-specify the main economic evaluation analyses and report other intended exploratory analyses of resource use data. Recruitment to the trial has been completed. A total of 2,104 participants from 56 stroke units across three geographic regions participated in the trial. Resource use data were collected prospectively alongside the trial using standardised tools. The primary economic evaluation method is a cost-effectiveness analysis to compare resource use over 12 months with health outcomes of the intervention measured against a usual care comparator. A cost-utility analysis is also intended. The primary outcome in the cost-effectiveness analysis will be favourable outcome (modified Rankin Scale score 0-2) at 12 months. Cost-utility analysis will use health-related quality of life, reported as quality-adjusted life years gained over a 12 month period, as measured by the modified Rankin Scale and the Assessment of Quality of Life. Outcomes of the economic evaluation analysis will inform the cost-effectiveness of very early mobilisation following stroke when compared to usual care. The exploratory analysis will report patterns of resource use in the first year following stroke. © 2016 World Stroke Organization.

The Importance of Place and Time in Translating Knowledge About Canada's Compassionate Care Benefit to Informal Caregivers

PubMed Central

Dykeman, Sarah; Williams, Allison

2013-01-01

Canada's Compassionate Care Benefit (CCB), an employment insurance program designed to allow Canadian workers time off to care for a dying relative or friend, has had low uptake since its inception. Due to their role in working with family caregivers, social workers are one group of primary health care professionals who have been identified as benefiting from a knowledge translation campaign. Knowledge tools about the CCB have been developed through social worker input in a prior study. This article presents the findings of a qualitative exploratory intervention. Social workers (n = 8) utilized the tools for 6 months and discussed their experiences with them. Data analysis revealed references to time and space constraints in using to the tools, and demonstrated the impact of time geography on knowledge translation about the CCB. The results suggest that knowledge translation about the CCB could be targeted toward caregivers earlier on in the disease progression before the terminal diagnosis, and knowledge tools must be disseminated to more locations. These results may be valuable to policymakers and palliative care providers, as well as theorists interested in ongoing applications of time geography in knowledge translation and the consumption/production of care. PMID:24295098

BURRITO: An Interactive Multi-Omic Tool for Visualizing Taxa–Function Relationships in Microbiome Data

PubMed Central

McNally, Colin P.; Eng, Alexander; Noecker, Cecilia; Gagne-Maynard, William C.; Borenstein, Elhanan

2018-01-01

The abundance of both taxonomic groups and gene categories in microbiome samples can now be easily assayed via various sequencing technologies, and visualized using a variety of software tools. However, the assemblage of taxa in the microbiome and its gene content are clearly linked, and tools for visualizing the relationship between these two facets of microbiome composition and for facilitating exploratory analysis of their co-variation are lacking. Here we introduce BURRITO, a web tool for interactive visualization of microbiome multi-omic data with paired taxonomic and functional information. BURRITO simultaneously visualizes the taxonomic and functional compositions of multiple samples and dynamically highlights relationships between taxa and functions to capture the underlying structure of these data. Users can browse for taxa and functions of interest and interactively explore the share of each function attributed to each taxon across samples. BURRITO supports multiple input formats for taxonomic and metagenomic data, allows adjustment of data granularity, and can export generated visualizations as static publication-ready formatted figures. In this paper, we describe the functionality of BURRITO, and provide illustrative examples of its utility for visualizing various trends in the relationship between the composition of taxa and functions in complex microbiomes. PMID:29545787

Cultural competency assessment tool for hospitals: evaluating hospitals' adherence to the culturally and linguistically appropriate services standards.

PubMed

Weech-Maldonado, Robert; Dreachslin, Janice L; Brown, Julie; Pradhan, Rohit; Rubin, Kelly L; Schiller, Cameron; Hays, Ron D

2012-01-01

The U.S. national standards for culturally and linguistically appropriate services (CLAS) in health care provide guidelines on policies and practices aimed at developing culturally competent systems of care. The Cultural Competency Assessment Tool for Hospitals (CCATH) was developed as an organizational tool to assess adherence to the CLAS standards. First, we describe the development of the CCATH and estimate the reliability and validity of the CCATH measures. Second, we discuss the managerial implications of the CCATH as an organizational tool to assess cultural competency. We pilot tested an initial draft of the CCATH, revised it based on a focus group and cognitive interviews, and then administered it in a field test with a sample of California hospitals. The reliability and validity of the CCATH were evaluated using factor analysis, analysis of variance, and Cronbach's alphas. Exploratory and confirmatory factor analyses identified 12 CCATH composites: leadership and strategic planning, data collection on inpatient population, data collection on service area, performance management systems and quality improvement, human resources practices, diversity training, community representation, availability of interpreter services, interpreter services policies, quality of interpreter services, translation of written materials, and clinical cultural competency practices. All the CCATH scales had internal consistency reliability of .65 or above, and the reliability was .70 or above for 9 of the 12 scales. Analysis of variance results showed that not-for-profit hospitals have higher CCATH scores than for-profit hospitals in five CCATH scales and higher CCATH scores than government hospitals in two CCATH scales. The CCATH showed adequate psychometric properties. Managers and policy makers can use the CCATH as a tool to evaluate hospital performance in cultural competency and identify and target improvements in hospital policies and practices that undergird the provision of CLAS.

VDJServer: A Cloud-Based Analysis Portal and Data Commons for Immune Repertoire Sequences and Rearrangements.

PubMed

Christley, Scott; Scarborough, Walter; Salinas, Eddie; Rounds, William H; Toby, Inimary T; Fonner, John M; Levin, Mikhail K; Kim, Min; Mock, Stephen A; Jordan, Christopher; Ostmeyer, Jared; Buntzman, Adam; Rubelt, Florian; Davila, Marco L; Monson, Nancy L; Scheuermann, Richard H; Cowell, Lindsay G

2018-01-01

Recent technological advances in immune repertoire sequencing have created tremendous potential for advancing our understanding of adaptive immune response dynamics in various states of health and disease. Immune repertoire sequencing produces large, highly complex data sets, however, which require specialized methods and software tools for their effective analysis and interpretation. VDJServer is a cloud-based analysis portal for immune repertoire sequence data that provide access to a suite of tools for a complete analysis workflow, including modules for preprocessing and quality control of sequence reads, V(D)J gene segment assignment, repertoire characterization, and repertoire comparison. VDJServer also provides sophisticated visualizations for exploratory analysis. It is accessible through a standard web browser via a graphical user interface designed for use by immunologists, clinicians, and bioinformatics researchers. VDJServer provides a data commons for public sharing of repertoire sequencing data, as well as private sharing of data between users. We describe the main functionality and architecture of VDJServer and demonstrate its capabilities with use cases from cancer immunology and autoimmunity. VDJServer provides a complete analysis suite for human and mouse T-cell and B-cell receptor repertoire sequencing data. The combination of its user-friendly interface and high-performance computing allows large immune repertoire sequencing projects to be analyzed with no programming or software installation required. VDJServer is a web-accessible cloud platform that provides access through a graphical user interface to a data management infrastructure, a collection of analysis tools covering all steps in an analysis, and an infrastructure for sharing data along with workflows, results, and computational provenance. VDJServer is a free, publicly available, and open-source licensed resource.

Software Reviews.

ERIC Educational Resources Information Center

Teles, Elizabeth, Ed.; And Others

1990-01-01

Reviewed are two computer software packages for Macintosh microcomputers including "Phase Portraits," an exploratory graphics tool for studying first-order planar systems; and "MacMath," a set of programs for exploring differential equations, linear algebra, and other mathematical topics. Features, ease of use, cost, availability, and hardware…

Application of Local Linear Embedding to Nonlinear Exploratory Latent Structure Analysis

ERIC Educational Resources Information Center

Wang, Haonan; Iyer, Hari

2007-01-01

In this paper we discuss the use of a recent dimension reduction technique called Locally Linear Embedding, introduced by Roweis and Saul, for performing an exploratory latent structure analysis. The coordinate variables from the locally linear embedding describing the manifold on which the data reside serve as the latent variable scores. We…

The School Counselor Leadership Survey: Instrument Development and Exploratory Factor Analysis

ERIC Educational Resources Information Center

Young, Anita; Bryan, Julia

2015-01-01

This study examined the factor structure of the School Counselor Leadership Survey (SCLS). Survey development was a threefold process that resulted in a 39-item survey of 801 school counselors and school counselor supervisors. The exploratory factor analysis indicated a five-factor structure that revealed five key dimensions of school counselor…

Exploratory Factor Analysis with Small Sample Sizes

ERIC Educational Resources Information Center

de Winter, J. C. F.; Dodou, D.; Wieringa, P. A.

2009-01-01

Exploratory factor analysis (EFA) is generally regarded as a technique for large sample sizes ("N"), with N = 50 as a reasonable absolute minimum. This study offers a comprehensive overview of the conditions in which EFA can yield good quality results for "N" below 50. Simulations were carried out to estimate the minimum required "N" for different…

A Psychometric Investigation of the Multicultural and Special Education Survey: An Exploratory Factor Analysis

ERIC Educational Resources Information Center

Utley, Cheryl A.

2011-01-01

An exploratory factorial analysis of the Multicultural and Special Education Survey (MSES) evaluated the professional development training needs of general and special educators in a midwestern state. Survey items were selected from the culturally and linguistically diverse multicultural, bilingual and special education literature bases (CLD). The…

An Exploratory Analysis of TPACK Perceptions of Pre-Service Science Teachers: A Regional Australian Perspective

ERIC Educational Resources Information Center

Reyes, Vicente Chua, Jr.; Rizk, Nadya; Gregory, Sue; Doyle, Helen

2016-01-01

Four distinct constructs were identified from a survey of a sample of pre-service science teachers at a regional Australian University. The constructs emerged after employing Exploratory Factor Analysis (EFA) on respondents' perceptions of pedagogical practices incorporating the use of Information Communication and Technology (ICT). The key…

Likelihood-Based Confidence Intervals in Exploratory Factor Analysis

ERIC Educational Resources Information Center

Oort, Frans J.

2011-01-01

In exploratory or unrestricted factor analysis, all factor loadings are free to be estimated. In oblique solutions, the correlations between common factors are free to be estimated as well. The purpose of this article is to show how likelihood-based confidence intervals can be obtained for rotated factor loadings and factor correlations, by…

Exploratory and Confirmatory Analysis of the Trauma Practices Questionnaire

ERIC Educational Resources Information Center

Craig, Carlton D.; Sprang, Ginny

2009-01-01

Objective: The present study provides psychometric data for the Trauma Practices Questionnaire (TPQ). Method: A nationally randomized sample of 2,400 surveys was sent to self-identified trauma treatment specialists, and 711 (29.6%) were returned. Results: An exploratory factor analysis (N = 319) conducted on a randomly split sample (RSS) revealed…

High-Dimensional Exploratory Item Factor Analysis by a Metropolis-Hastings Robbins-Monro Algorithm

ERIC Educational Resources Information Center

Cai, Li

2010-01-01

A Metropolis-Hastings Robbins-Monro (MH-RM) algorithm for high-dimensional maximum marginal likelihood exploratory item factor analysis is proposed. The sequence of estimates from the MH-RM algorithm converges with probability one to the maximum likelihood solution. Details on the computer implementation of this algorithm are provided. The…

Mission Attachment and Job Satisfaction among Emergency Shelter and Transitional Housing Service Professionals: An Exploratory Analysis

ERIC Educational Resources Information Center

Fermin, Caroline P.

2017-01-01

This research study was an exploratory analysis to determine if a relationship existed between mission attachment and job satisfaction of emergency nonprofit domestic violence shelter/transitional housing workers. The study examined if the perceptions, beliefs, and attitudes were different between entry-level, middle-level, and senior-level…

An Exploratory Case Study of PBIS Implementation Using Social Network Analysis

ERIC Educational Resources Information Center

Whitcomb, Sara A.; Woodland, Rebecca H.; Barry, Shannon K.

2017-01-01

An exploratory case study is presented in which social network analysis (SNA) was used to explore how school teaming structures influence the implementation of School-Wide Positive Behavioral Interventions and Supports (PBIS). The authors theorized that PBIS leadership teams that include members with connections to all other information-sharing…

What Is Rotating in Exploratory Factor Analysis?

ERIC Educational Resources Information Center

Osborne, Jason W.

2015-01-01

Exploratory factor analysis (EFA) is one of the most commonly-reported quantitative methodology in the social sciences, yet much of the detail regarding what happens during an EFA remains unclear. The goal of this brief technical note is to explore what "rotation" is, what exactly is rotating, and why we use rotation when performing…

Web-based Visual Analytics for Extreme Scale Climate Science

DOE Office of Scientific and Technical Information (OSTI.GOV)

Steed, Chad A; Evans, Katherine J; Harney, John F

In this paper, we introduce a Web-based visual analytics framework for democratizing advanced visualization and analysis capabilities pertinent to large-scale earth system simulations. We address significant limitations of present climate data analysis tools such as tightly coupled dependencies, ineffi- cient data movements, complex user interfaces, and static visualizations. Our Web-based visual analytics framework removes critical barriers to the widespread accessibility and adoption of advanced scientific techniques. Using distributed connections to back-end diagnostics, we minimize data movements and leverage HPC platforms. We also mitigate system dependency issues by employing a RESTful interface. Our framework embraces the visual analytics paradigm via newmore » visual navigation techniques for hierarchical parameter spaces, multi-scale representations, and interactive spatio-temporal data mining methods that retain details. Although generalizable to other science domains, the current work focuses on improving exploratory analysis of large-scale Community Land Model (CLM) and Community Atmosphere Model (CAM) simulations.« less

Development of a short-form Learning Organization Survey: the LOS-27.

PubMed

Singer, Sara J; Moore, Scott C; Meterko, Mark; Williams, Sandra

2012-08-01

Despite urgent need for innovation, adaptation, and change in health care, few tools enable researchers or practitioners to assess the extent to which health care facilities perform as learning organizations or the effects of initiatives that require learning. This study's objective was to develop and test a short-form Learning Organization Survey to fill this gap. The authors applied exploratory factor analysis and confirmatory factor analysis to data from Veterans Health Administration personnel to derive a short-form survey and then conducted further confirmatory factor analysis and factor invariance testing on additional Veterans Health Administration data to evaluate the short form. Results suggest that a 27-item, 7-factor survey (2 environmental factors, 1 on leadership, and 4 on concrete learning processes and practices) reliably measures key features of organizational learning, allowing researchers to evaluate theoretical propositions about organizational learning, its antecedents, and outcomes and enabling managers to assess and enhance organizations' learning capabilities and performance.

Exploratory Analysis of Carbon Dioxide Levels, Ultrasound and Optical Coherence Tomography Measures of the Eye During ISS Missions

NASA Technical Reports Server (NTRS)

Schaefer, C.; Coble, C.; Mason, S.; Young, M.; Wear, M. L.; Sargsyan, A.; Garcia, K.; Patel, N.; Gibson, C.; Alexander, D.;

Developing a Questionnaire for Iranian Women's Attitude on Medical Ethics in Vaginal Childbirth.

PubMed

Mirzaee Rabor, Firoozeh; Taghipour, Ali; Mirzaee, Moghaddameh; Mirzaii Najmabadi, Khadigeh; Fazilat Pour, Masoud; Fattahi Masoum, Seyed Hosein

2015-12-01

Vaginal delivery is one of the challenging issues in medical ethics. It is important to use an appropriate instrument to assess medical ethics attitudes in normal delivery, but the lack of tool for this purpose is clear. The aim of this study was to develop and validate a questionnaire for the assessment of women's attitude on medical ethics application in normal vaginal delivery. This methodological study was carried out in Iran in 2013 - 2014. Medical ethics attitude in vaginal delivery questionnaire (MEAVDQ) was developed using the findings of a qualitative data obtained from a grounded theory research conducted on 20 women who had vaginal childbirth, in the first phase. Then, the validation criteria of this tool were tested by content and face validity in the second phase. Exploratory factor analysis was used for construct validity and reliability was also tested by Cronbach's alpha coefficient in the third phase of this study. SPSS version 13 was used in this study. The sample size for construct validity was 250 females who had normal vaginal childbirth. In the first phase of this study (tool development), by the use of four obtained categories and nine subcategories from grounded theory and literature review, three parts (98-items) of this tool were obtained (A, B and J). Part A explained the first principle of medical ethics, part B pointed to the second and third principles of medical ethics, and part J explained the fourth principle of medical ethics. After evaluating and confirming its face and content validity, 75 items remained in the questionnaire. In construct validity, by the employment of exploratory factor analysis, in parts A, B and J, 3, 7 and 3 factors were formed, respectively; and 62.8%, 64% and 51% of the total variances were explained by the obtained factors in parts A, B and J, respectively. The names of these factors in the three parts were achieved by consideration of the loading factor and medical ethics principles. The subscales of MEAVDQ showed significant reliability. In parts A, B and J, Cronbach's alpha coefficients were 0.76, 0.72 and 0.68, respectively and for the total questionnaire, it was 0.72. The results of the test-retest were satisfactory for all the items (ICC = 0.60 - 0.95). The present study showed that the 59-item MEAVDQ was a valid and reliable questionnaire for the assessment of women's attitudes toward medical ethics application in vaginal childbirth. This tool might assist specialists in making a judgment and plan appropriate for women in vaginal delivery management.

Mining concepts of health responsibility using text mining and exploratory graph analysis.

PubMed

Kjellström, Sofia; Golino, Hudson

2018-05-24

Occupational therapists need to know about people's beliefs about personal responsibility for health to help them pursue everyday activities. The study aims to employ state-of-the-art quantitative approaches to understand people's views of health and responsibility at different ages. A mixed method approach was adopted, using text mining to extract information from 233 interviews with participants aged 5 to 96 years, and then exploratory graph analysis to estimate the number of latent variables. The fit of the structure estimated via the exploratory graph analysis was verified using confirmatory factor analysis. Exploratory graph analysis estimated three dimensions of health responsibility: (1) creating good health habits and feeling good; (2) thinking about one's own health and wanting to improve it; and 3) adopting explicitly normative attitudes to take care of one's health. The comparison between the three dimensions among age groups showed, in general, that children and adolescents, as well as the old elderly (>73 years old) expressed ideas about personal responsibility for health less than young adults, adults and young elderly. Occupational therapists' knowledge of the concepts of health responsibility is of value when working with a patient's health, but an identified challenge is how to engage children and older persons.

Epiviz: a view inside the design of an integrated visual analysis software for genomics

PubMed Central

2015-01-01

Background Computational and visual data analysis for genomics has traditionally involved a combination of tools and resources, of which the most ubiquitous consist of genome browsers, focused mainly on integrative visualization of large numbers of big datasets, and computational environments, focused on data modeling of a small number of moderately sized datasets. Workflows that involve the integration and exploration of multiple heterogeneous data sources, small and large, public and user specific have been poorly addressed by these tools. In our previous work, we introduced Epiviz, which bridges the gap between the two types of tools, simplifying these workflows. Results In this paper we expand on the design decisions behind Epiviz, and introduce a series of new advanced features that further support the type of interactive exploratory workflow we have targeted. We discuss three ways in which Epiviz advances the field of genomic data analysis: 1) it brings code to interactive visualizations at various different levels; 2) takes the first steps in the direction of collaborative data analysis by incorporating user plugins from source control providers, as well as by allowing analysis states to be shared among the scientific community; 3) combines established analysis features that have never before been available simultaneously in a genome browser. In our discussion section, we present security implications of the current design, as well as a series of limitations and future research steps. Conclusions Since many of the design choices of Epiviz are novel in genomics data analysis, this paper serves both as a document of our own approaches with lessons learned, as well as a start point for future efforts in the same direction for the genomics community. PMID:26328750

From a CV to an ePortfolio: An Exploration of Adult Learner's Perception of the ePortfolio as a Jobseeking Tool

ERIC Educational Resources Information Center

Kilroy, John

2017-01-01

ePortfolios are emerging as an alternative to the paper based CV in the employment recruitment process. This paper reports on the findings of research project that was designed to explore the perceptions of adult jobseekers on the use of an ePortfolio as a jobseeking tool. The research project utilised a qualitative exploratory case study to…

Improved diamond coring bits developed for dry and chip-flush drilling

NASA Technical Reports Server (NTRS)

Decker, W. E.; Hampe, W. R.; Hampton, W. H.; Simon, A. B.

1971-01-01

Two rotary diamond bit designs, one operating with a chip-flushing fluid, the second including auger section to remove drilled chips, enhance usefulness of tool for exploratory and industrial core-drilling of hard, abrasive mineral deposits and structural masonry.

On the Likelihood Ratio Test for the Number of Factors in Exploratory Factor Analysis

ERIC Educational Resources Information Center

Hayashi, Kentaro; Bentler, Peter M.; Yuan, Ke-Hai

2007-01-01

In the exploratory factor analysis, when the number of factors exceeds the true number of factors, the likelihood ratio test statistic no longer follows the chi-square distribution due to a problem of rank deficiency and nonidentifiability of model parameters. As a result, decisions regarding the number of factors may be incorrect. Several…

A Note on Procrustean Rotation in Exploratory Factor Analysis: A Computer Intensive Approach to Goodness-of-Fit Evaluation.

ERIC Educational Resources Information Center

Raykov, Tenko; Little, Todd D.

1999-01-01

Describes a method for evaluating results of Procrustean rotation to a target factor pattern matrix in exploratory factor analysis. The approach, based on the bootstrap method, yields empirical approximations of the sampling distributions of: (1) differences between target elements and rotated factor pattern matrices; and (2) the overall…

An Exploratory Factor Analysis of the Sexual Orientation Counselor Competency Scale: Examining the Variable of Experience

ERIC Educational Resources Information Center

Ali, Shainna; Lambie, Glenn; Bloom, Zachary D.

2017-01-01

The Sexual Orientation Counselor Competency Scale (SOCCS), developed by Bidell in 2005, measures counselors' levels of skills, awareness, and knowledge in assisting lesbian, gay, or bisexual (LGB) clients. In an effort to gain an increased understanding of the construct validity of the SOCCS, researchers performed an exploratory factor analysis on…

Technical Communications in Aeronautics: Results of an Exploratory Study. An Analysis of Managers' and Nonmanagers' Responses. NASA Technical Memorandum 101625.

ERIC Educational Resources Information Center

Pinelli, Thomas E.; And Others

Data collected from an exploratory study concerned with the technical communications practices of aerospace engineers and scientists were analyzed to test the primary assumption that aerospace managers and nonmanagers have different technical communications practices. Five secondary assumptions were established for the analysis: (1) that the…

Validation of the Adolescent Concerns Measure (ACM): Evidence from Exploratory and Confirmatory Factor Analysis

ERIC Educational Resources Information Center

Ang, Rebecca P.; Chong, Wan Har; Huan, Vivien S.; Yeo, Lay See

2007-01-01

This article reports the development and initial validation of scores obtained from the Adolescent Concerns Measure (ACM), a scale which assesses concerns of Asian adolescent students. In Study 1, findings from exploratory factor analysis using 619 adolescents suggested a 24-item scale with four correlated factors--Family Concerns (9 items), Peer…

An Exploratory Factor Analysis of the URICA among Couple Therapy Participants

ERIC Educational Resources Information Center

Tambling, Rachel B.; Johnson, Lee N.

2012-01-01

Assessing and measuring client motivation to change has been of great interest to therapists and researchers in a variety of fields. This article presents the results of an exploratory factor analysis of the University of Rhode Island Change Assessment (URICA), a measure of motivation to change, in a sample of individuals in couple therapy. Four…

Improving Your Exploratory Factor Analysis for Ordinal Data: A Demonstration Using FACTOR

ERIC Educational Resources Information Center

Baglin, James

2014-01-01

Exploratory factor analysis (EFA) methods are used extensively in the field of assessment and evaluation. Due to EFA's widespread use, common methods and practices have come under close scrutiny. A substantial body of literature has been compiled highlighting problems with many of the methods and practices used in EFA, and, in response, many…

The School Counseling Program Implementation Survey: Initial Instrument Development and Exploratory Factor Analysis

ERIC Educational Resources Information Center

Clemens, Elysia V.; Carey, John C.; Harrington, Karen M.

2010-01-01

This article details the initial development of the School Counseling Program Implementation Survey and psychometric results including reliability and factor structure. An exploratory factor analysis revealed a three-factor model that accounted for 54% of the variance of the intercorrelation matrix and a two-factor model that accounted for 47% of…

Exploratory and Confirmatory Factor Analyses of the WISC-IV with Gifted Students

ERIC Educational Resources Information Center

Rowe, Ellen W.; Dandridge, Jessica; Pawlush, Alexandra; Thompson, Dawna F.; Ferrier, David E.

2014-01-01

These 2 studies investigated the factor structure of the Wechsler Intelligence Scale for Children-4th edition (WISC-IV; Wechsler, 2003a) with exploratory factor analysis (EFA; Study 1) and confirmatory factor analysis (CFA; Study 2) among 2 independent samples of gifted students. The EFA sample consisted of 225 children who were referred for a…

FACTOR 9.2: A Comprehensive Program for Fitting Exploratory and Semiconfirmatory Factor Analysis and IRT Models

ERIC Educational Resources Information Center

Lorenzo-Seva, Urbano; Ferrando, Pere J.

2013-01-01

FACTOR 9.2 was developed for three reasons. First, exploratory factor analysis (FA) is still an active field of research although most recent developments have not been incorporated into available programs. Second, there is now renewed interest in semiconfirmatory (SC) solutions as suitable approaches to the complex structures are commonly found…

Ordinary Least Squares Estimation of Parameters in Exploratory Factor Analysis with Ordinal Data

ERIC Educational Resources Information Center

Lee, Chun-Ting; Zhang, Guangjian; Edwards, Michael C.

2012-01-01

Exploratory factor analysis (EFA) is often conducted with ordinal data (e.g., items with 5-point responses) in the social and behavioral sciences. These ordinal variables are often treated as if they were continuous in practice. An alternative strategy is to assume that a normally distributed continuous variable underlies each ordinal variable.…

An Exploratory Factor Analysis and Reliability Analysis of the Student Online Learning Readiness (SOLR) Instrument

ERIC Educational Resources Information Center

Yu, Taeho; Richardson, Jennifer C.

2015-01-01

The purpose of this study was to develop an effective instrument to measure student readiness in online learning with reliable predictors of online learning success factors such as learning outcomes and learner satisfaction. The validity and reliability of the Student Online Learning Readiness (SOLR) instrument were tested using exploratory factor…

Development of an Instrument to Measure Student Use of Academic Success Skills: An Exploratory Factor Analysis

ERIC Educational Resources Information Center

Carey, John; Brigman, Greg; Webb, Linda; Villares, Elizabeth; Harrington, Karen

2014-01-01

This article describes the development of the Student Engagement in School Success Skills instrument including item development and exploratory factor analysis. The instrument was developed to measure student use of the skills and strategies identified as most critical for long-term school success that are typically taught by school counselors.

An Exploratory Analysis of a Middle School Science Curriculum: Implications for Students with Learning Disabilities

ERIC Educational Resources Information Center

Taylor, Gregory S.; Hord, Casey

2016-01-01

An exploratory study of a middle school curriculum directly aligned with the Next Generation Science Standards was conducted with a focus on how the curriculum addresses the instructional needs of students with learning disabilities. A descriptive analysis of a lesson on speed and velocity was conducted and implications discussed for students with…

Battle of Narratives

DTIC Science & Technology

2012-06-01

18 De Nooy, Wouter, Andrej Mrvar , and Vladimir Batagelj , Exploratory Social Network Analysis with Pajek (New York: Cambridge University Press, 2005... Mrvar , and Vladimir Batagelj . Exploratory Social Network Analysis with Pajek. New York: Cambridge University Press, 2005. Democratic National...Review 54(1):33-48; Brian Uzzi. 1996 . "The Sources and Consequences of Embeddedness for the Economic Performance of Organizations: The Network Effect

Using Exploratory Spatial Data Analysis to Leverage Social Indicator Databases: The Discovery of Interesting Patterns

ERIC Educational Resources Information Center

Anselin, Luc; Sridharan, Sanjeev; Gholston, Susan

2007-01-01

With the proliferation of social indicator databases, the need for powerful techniques to study patterns of change has grown. In this paper, the utility of spatial data analytical methods such as exploratory spatial data analysis (ESDA) is suggested as a means to leverage the information contained in social indicator databases. The principles…

An exploratory analysis of the relationship between ambient ozone and particulate matter concentrations during early pregnancy and selected birth defects in Texas

EPA Science Inventory

Background: Associations between ozone (O3) and fine particulate matter (PM2.5) concentrations and birth outcomes have been previously demonstrated. We perform an exploratory analysis of O3 and PM2.5 concentrations during early pregnancy and multiple types of birth defects. Met...

Exploratory Two-Level Analysis of Individual- and School-Level Factors on Truant Youth Emotional/Psychological Functioning

ERIC Educational Resources Information Center

Dembo, Richard; Wareham, Jennifer; Schmeidler, James; Winters, Ken C.

2016-01-01

Research on samples of truant adolescents is limited, with little known about mental health problems among truant youths. This study provided an exploratory, multilevel examination of mental health problems for a sample of 300 truant adolescents. Confirmatory factor analysis indicated a single factor of multiple mental health problems at the…

The Implementation Leadership Scale (ILS): development of a brief measure of unit level implementation leadership.

PubMed

Aarons, Gregory A; Ehrhart, Mark G; Farahnak, Lauren R

2014-04-14

In healthcare and allied healthcare settings, leadership that supports effective implementation of evidenced-based practices (EBPs) is a critical concern. However, there are no empirically validated measures to assess implementation leadership. This paper describes the development, factor structure, and initial reliability and convergent and discriminant validity of a very brief measure of implementation leadership: the Implementation Leadership Scale (ILS). Participants were 459 mental health clinicians working in 93 different outpatient mental health programs in Southern California, USA. Initial item development was supported as part of a two United States National Institutes of Health (NIH) studies focused on developing implementation leadership training and implementation measure development. Clinician work group/team-level data were randomly assigned to be utilized for an exploratory factor analysis (n = 229; k = 46 teams) or for a confirmatory factor analysis (n = 230; k = 47 teams). The confirmatory factor analysis controlled for the multilevel, nested data structure. Reliability and validity analyses were then conducted with the full sample. The exploratory factor analysis resulted in a 12-item scale with four subscales representing proactive leadership, knowledgeable leadership, supportive leadership, and perseverant leadership. Confirmatory factor analysis supported an a priori higher order factor structure with subscales contributing to a single higher order implementation leadership factor. The scale demonstrated excellent internal consistency reliability as well as convergent and discriminant validity. The ILS is a brief and efficient measure of unit level leadership for EBP implementation. The availability of the ILS will allow researchers to assess strategic leadership for implementation in order to advance understanding of leadership as a predictor of organizational context for implementation. The ILS also holds promise as a tool for leader and organizational development to improve EBP implementation.

The implementation leadership scale (ILS): development of a brief measure of unit level implementation leadership

PubMed Central

2014-01-01

Background In healthcare and allied healthcare settings, leadership that supports effective implementation of evidenced-based practices (EBPs) is a critical concern. However, there are no empirically validated measures to assess implementation leadership. This paper describes the development, factor structure, and initial reliability and convergent and discriminant validity of a very brief measure of implementation leadership: the Implementation Leadership Scale (ILS). Methods Participants were 459 mental health clinicians working in 93 different outpatient mental health programs in Southern California, USA. Initial item development was supported as part of a two United States National Institutes of Health (NIH) studies focused on developing implementation leadership training and implementation measure development. Clinician work group/team-level data were randomly assigned to be utilized for an exploratory factor analysis (n = 229; k = 46 teams) or for a confirmatory factor analysis (n = 230; k = 47 teams). The confirmatory factor analysis controlled for the multilevel, nested data structure. Reliability and validity analyses were then conducted with the full sample. Results The exploratory factor analysis resulted in a 12-item scale with four subscales representing proactive leadership, knowledgeable leadership, supportive leadership, and perseverant leadership. Confirmatory factor analysis supported an a priori higher order factor structure with subscales contributing to a single higher order implementation leadership factor. The scale demonstrated excellent internal consistency reliability as well as convergent and discriminant validity. Conclusions The ILS is a brief and efficient measure of unit level leadership for EBP implementation. The availability of the ILS will allow researchers to assess strategic leadership for implementation in order to advance understanding of leadership as a predictor of organizational context for implementation. The ILS also holds promise as a tool for leader and organizational development to improve EBP implementation. PMID:24731295

Flight-Deck Strategies and Outcomes When Flying Schedule-Matching Descents

NASA Technical Reports Server (NTRS)

Kaneshige, John T.; Sharma, Shivanjli; Martin Lynne; Lozito, Sandra; Dulchinos, Victoria

2013-01-01

Recent studies at NASA Ames Research Center have investigated the development and use of ground-based (air traffic controller) tools to manage and schedule air traffic in future terminal airspace. An exploratory study was undertaken to investigate the impacts that such tools (and concepts) could have on the flight-deck. Ten Boeing 747-400 crews flew eight optimized profile descents in the Los Angeles terminal airspace, while receiving scripted current day and futuristic speed clearances, to ascertain their ability to fly schedulematching descents without prior training. Although the study was exploratory in nature, four variables were manipulated: route constraints, winds, speed changes, and clearance phraseology. Despite flying the same scenarios with the same events and timing, there were significant differences in the time it took crews to fly the approaches. This variation is the product of a number of factors but highlights potential difficulties for scheduling tools that would have to accommodate this amount of natural variation in descent times. The focus of this paper is the examination of the crews' aircraft management strategies and outcomes. This includes potentially problematic human-automation interaction issues that may negatively impact arrival times, speed and altitude constraint compliance, and energy management efficiency.

[ABC supplies classification: a managment tool of costs in nursing].

PubMed

Lourenço, Karina Gomes; Castilho, Valéria

2006-01-01

The implementation of costs management systems has been extremely helpful to healthcare area owing to their efficacy in cutting expenditures as well as improving service quality. The ABC classification is an applied strategy to stocktaking and control. The research, which consists of an exploratory/descriptive quantitative analysis, has been carried out in order to identify, in a year time period, the demand for supplies at Universidade de Sao Paulo's Hospital. Of 1938 classified materials, 67 itens had been classified that they correspond to the materials with bigger costs for the hospital. 31.3% of these A-Class supplies catalogued items are the nursing materials, more used for the nursing team.

An interdisciplinary team communication framework and its application to healthcare 'e-teams' systems design

PubMed Central

2009-01-01

Background There are few studies that examine the processes that interdisciplinary teams engage in and how we can design health information systems (HIS) to support those team processes. This was an exploratory study with two purposes: (1) To develop a framework for interdisciplinary team communication based on structures, processes and outcomes that were identified as having occurred during weekly team meetings. (2) To use the framework to guide 'e-teams' HIS design to support interdisciplinary team meeting communication. Methods An ethnographic approach was used to collect data on two interdisciplinary teams. Qualitative content analysis was used to analyze the data according to structures, processes and outcomes. Results We present details for team meta-concepts of structures, processes and outcomes and the concepts and sub concepts within each meta-concept. We also provide an exploratory framework for interdisciplinary team communication and describe how the framework can guide HIS design to support 'e-teams'. Conclusion The structures, processes and outcomes that describe interdisciplinary teams are complex and often occur in a non-linear fashion. Electronic data support, process facilitation and team video conferencing are three HIS tools that can enhance team function. PMID:19754966

An interdisciplinary team communication framework and its application to healthcare 'e-teams' systems design.

PubMed

Kuziemsky, Craig E; Borycki, Elizabeth M; Purkis, Mary Ellen; Black, Fraser; Boyle, Michael; Cloutier-Fisher, Denise; Fox, Lee Ann; MacKenzie, Patricia; Syme, Ann; Tschanz, Coby; Wainwright, Wendy; Wong, Helen

2009-09-15

There are few studies that examine the processes that interdisciplinary teams engage in and how we can design health information systems (HIS) to support those team processes. This was an exploratory study with two purposes: (1) To develop a framework for interdisciplinary team communication based on structures, processes and outcomes that were identified as having occurred during weekly team meetings. (2) To use the framework to guide 'e-teams' HIS design to support interdisciplinary team meeting communication. An ethnographic approach was used to collect data on two interdisciplinary teams. Qualitative content analysis was used to analyze the data according to structures, processes and outcomes. We present details for team meta-concepts of structures, processes and outcomes and the concepts and sub concepts within each meta-concept. We also provide an exploratory framework for interdisciplinary team communication and describe how the framework can guide HIS design to support 'e-teams'. The structures, processes and outcomes that describe interdisciplinary teams are complex and often occur in a non-linear fashion. Electronic data support, process facilitation and team video conferencing are three HIS tools that can enhance team function.

Knowledge Support and Automation for Performance Analysis with PerfExplorer 2.0

DOE PAGES

Huck, Kevin A.; Malony, Allen D.; Shende, Sameer; ...

2008-01-01

The integration of scalable performance analysis in parallel development tools is difficult. The potential size of data sets and the need to compare results from multiple experiments presents a challenge to manage and process the information. Simply to characterize the performance of parallel applications running on potentially hundreds of thousands of processor cores requires new scalable analysis techniques. Furthermore, many exploratory analysis processes are repeatable and could be automated, but are now implemented as manual procedures. In this paper, we will discuss the current version of PerfExplorer, a performance analysis framework which provides dimension reduction, clustering and correlation analysis ofmore » individual trails of large dimensions, and can perform relative performance analysis between multiple application executions. PerfExplorer analysis processes can be captured in the form of Python scripts, automating what would otherwise be time-consuming tasks. We will give examples of large-scale analysis results, and discuss the future development of the framework, including the encoding and processing of expert performance rules, and the increasing use of performance metadata.« less

Validation of the National Aeronautics and Space Administration Task Load Index as a tool to evaluate the learning curve for endoscopy training.

PubMed

Mohamed, Rachid; Raman, Maitreyi; Anderson, John; McLaughlin, Kevin; Rostom, Alaa; Coderre, Sylvain

2014-03-01

Although workplace workload assessments exist in different fields, an endoscopy-specific workload assessment tool is lacking. To validate such a workload tool and use it to map the progression of novice trainees in gastroenterology in performing their first endoscopies. The National Aeronautics and Space Administration Task Load Index (NASA-TLX) workload assessment tool was completed by eight novice trainees in gastroenterology and 10 practicing gastroenterologists⁄surgeons. An exploratory factor analysis was performed to construct a streamlined endoscopy-specific task load index, which was subsequently validated. The 'Endoscopy Task Load Index' was used to monitor progression of trainee exertion and self-assessed performance over their first 40 procedures. From the factor analysis of the NASA-TLX, two principal components emerged: a measure of exertion and a measure of self-efficacy. These items became the components of the newly validated Endoscopy Task Load Index. There was a steady decline in self-perceived exertion over the training period, which was more rapid for gastroscopy than colonoscopy. The self-efficacy scores for gastroscopy rapidly increased over the first few procedures, reaching a plateau after this period of time. For colonoscopy, there was a progressive increase in reported self-efficacy over the first three quartiles of procedures, followed by a drop in self-efficacy scores over the final quartile. The present study validated an Endoscopy Task Load Index that can be completed in <1 min. Practical implications of such a tool in endoscopy education include identifying periods of higher perceived exertion among novice endoscopists, facilitating appropriate levels of guidance from trainers.

Exploratory study of the implications of research on the use of smart connected devices for prevention: a scoping review.

PubMed

Petit, Audrey; Cambon, Linda

2016-07-11

Smart devices and mobile applications are now an integral part of all aspects of everyday life. They are particularly numerous in the field of health, contributing to the movement called ehealth. What is the potential role of these devices as prevention supports? The purpose of this article is to provide an exploratory analysis of the use, efficacy and contribution to conventional prevention strategies. To address this issue, we conducted a scoping-review on the basis of 105 publications from the fields of medicine and human sciences. Three dimensions of the use of smart devices in the field of health were identified: 1/a quantification tool allowing the users to measure their activities; 2/a tool of self-positioning in the community; 3/an interface between the medical world and the population, modifying the hierarchy of knowledge. However, few published studies have investigated the determinants of the efficacy of these devices and their impact on individual behaviours and professional health practices. Based on the hypothesis of possible integration of these devices in prevention policies, it would be interesting to investigate two research issues: how and under what psycho-socio-environmental conditions can smart devices contribute to the adoption of positive health behaviours? To what degree does the use of smart devices modify the health care professional-patient relationship? Finding answers to these questions could help to define the real place of these devices in prevention strategies by determining their complementarity with respect to other prevention strategies, and the conditions of their efficacy on behaviours and inequalities.

An Empirical Research on the Correlation between Human Capital and Career Success of Knowledge Workers in Enterprise

NASA Astrophysics Data System (ADS)

Guo, Wenchen; Xiao, Hongjun; Yang, Xi

Human capital plays an important part in employability of knowledge workers, also it is the important intangible assets of company. This paper explores the correlation between human capital and career success of knowledge workers. Based on literature retrieval, we identified measuring tool of career success and modified further; measuring human capital with self-developed scale of high reliability and validity. After exploratory factor analysis, we suggest that human capital contents four dimensions, including education, work experience, learning ability and training; career success contents three dimensions, including perceived internal competitiveness of organization, perceived external competitiveness of organization and career satisfaction. The result of empirical analysis indicates that there is a positive correlation between human capital and career success, and human capital is an excellent predictor of career success beyond demographics variables.

L. fermentum CECT 5716 prevents stress-induced intestinal barrier dysfunction in newborn rats.

PubMed

Vanhaecke, T; Aubert, P; Grohard, P-A; Durand, T; Hulin, P; Paul-Gilloteaux, P; Fournier, A; Docagne, F; Ligneul, A; Fressange-Mazda, C; Naveilhan, P; Boudin, H; Le Ruyet, P; Neunlist, M

2017-08-01

Intestinal epithelial barrier (IEB) dysfunction plays a critical role in various intestinal disorders affecting infants and children, including the development of food allergies and colitis. Recent studies highlighted the role of probiotics in regulating IEB functions and behavior in adults, but their effects in the newborn remain largely unknown. We therefore characterized in rat pups, the impact of Lactobacillus fermentum CECT 5716 (L. fermentum) on stress-induced IEB dysfunction, systemic immune response and exploratory behavior. Newborn rats received daily by gavage either L. fermentum or water. Intestinal permeability to fluorescein sulfonic acid (FSA) and horseradish peroxidase (HRP) was measured following maternal separation (MS) and water avoidance stress (WAS). Immunohistochemical, transcriptomic, and Western blot analysis of zonula occludens-1 (ZO-1) distribution and expression were performed. Anxiety-like and exploratory behavior was assessed using the elevated plus maze test. Cytokine secretion of activated splenocytes was also evaluated. L. fermentum prevented MS and WAS-induced IEB dysfunction in vivo. L. fermentum reduced permeability to both FSA and HRP in the small intestine but not in the colon. L. fermentum increased expression of ZO-1 and prevented WAS-induced ZO-1 disorganization in ileal epithelial cells. L. fermentum also significantly reduced stress-induced increase in plasma corticosteronemia. In activated splenocytes, L. fermentum enhanced IFNγ secretion while it prevented IL-4 secretion. Finally, L. fermentum increased exploratory behavior. These results suggest that L. fermentum could provide a novel tool for the prevention and/or treatment of gastrointestinal disorders associated with altered IEB functions in the newborn. © 2017 John Wiley & Sons Ltd.

The Relationship of Bureaucratic Structure to School Climate: An Exploratory Factor Analysis of Construct Validity

ERIC Educational Resources Information Center

Lennon, Patricia A.

2010-01-01

This researcher examined the relationship of bureaucratic structure to school climate by means of an exploratory factor analysis of a measure of bureaucracy developed by Hoy and Sweetland (2000) and the four dimensional measure of climate developed by Hoy, Smith, and Sweetland (2002). Since there had been no other empirical studies whose authors…

Exploratory Bifactor Analysis of the WJ-III Cognitive in Adulthood via the Schmid-Leiman Procedure

ERIC Educational Resources Information Center

Dombrowski, Stefan C.

2014-01-01

The Woodcock-Johnson-III cognitive in the adult time period (age 20 to 90 plus) was analyzed using exploratory bifactor analysis via the Schmid-Leiman orthogonalization procedure. The results of this study suggested possible overfactoring, a different factor structure from that posited in the Technical Manual and a lack of invariance across both…

Rotation Criteria and Hypothesis Testing for Exploratory Factor Analysis: Implications for Factor Pattern Loadings and Interfactor Correlations

ERIC Educational Resources Information Center

Schmitt, Thomas A.; Sass, Daniel A.

2011-01-01

Exploratory factor analysis (EFA) has long been used in the social sciences to depict the relationships between variables/items and latent traits. Researchers face many choices when using EFA, including the choice of rotation criterion, which can be difficult given that few research articles have discussed and/or demonstrated their differences.…

Rotation to a Partially Specified Target Matrix in Exploratory Factor Analysis: How Many Targets?

ERIC Educational Resources Information Center

Myers, Nicholas D.; Ahn, Soyeon; Jin, Ying

2013-01-01

The purpose of this study was to explore the influence of the number of targets specified on the quality of exploratory factor analysis solutions with a complex underlying structure and incomplete substantive measurement theory. Three Monte Carlo studies were performed based on the ratio of the number of observed variables to the number of…

The development and validation of the Physical Appearance Comparison Scale-Revised (PACS-R).

PubMed

Schaefer, Lauren M; Thompson, J Kevin

2014-04-01

The Physical Appearance Comparison Scale (PACS; Thompson, Heinberg, & Tantleff, 1991) was revised to assess appearance comparisons relevant to women and men in a wide variety of contexts. The revised scale (Physical Appearance Comparison Scale-Revised, PACS-R) was administered to 1176 college females. In Study 1, exploratory factor analysis and parallel analysis using one half of the sample suggested a single factor structure for the PACS-R. Study 2 utilized the remaining half of the sample to conduct confirmatory factor analysis, item analysis, and to examine the convergent validity of the scale. These analyses resulted in an 11-item measure that demonstrated excellent internal consistency and convergent validity with measures of body satisfaction, eating pathology, sociocultural influences on appearance, and self-esteem. Regression analyses demonstrated the utility of the PACS-R in predicting body satisfaction and eating pathology. Overall, results indicate that the PACS-R is a reliable and valid tool for assessing appearance comparison tendencies in women. Copyright © 2014. Published by Elsevier Ltd.

Managing Transnational Education: Does National Culture Really Matter?

ERIC Educational Resources Information Center

Eldridge, Kaye; Cranston, Neil

2009-01-01

This article reports on an exploratory study that examined the effect of national culture upon the management of Australia's provision of transnational higher education in Thailand. In particular, using Hofstede's national cultural value dimensions as an analytical tool, interviews with managers responsible for Australia's provision of…

Development and testing of the ‘Culture of Care Barometer’ (CoCB) in healthcare organisations: a mixed methods study

PubMed Central

Rafferty, Anne Marie; Philippou, Julia; Fitzpatrick, Joanne M; Pike, Geoff; Ball, Jane

2017-01-01

Objective Concerns about care quality have prompted calls to create workplace cultures conducive to high-quality, safe and compassionate care and to provide a supportive environment in which staff can operate effectively. How healthcare organisations assess their culture of care is an important first step in creating such cultures. This article reports on the development and validation of a tool, the Culture of Care Barometer, designed to assess perceptions of a caring culture among healthcare workers preliminary to culture change. Design/setting/participants An exploratory mixed methods study designed to develop and test the validity of a tool to measure ‘culture of care’ through focus groups and questionnaires. Questionnaire development was facilitated through: a literature review, experts generating items of interest and focus group discussions with healthcare staff across specialities, roles and seniority within three types of public healthcare organisations in the UK. The tool was designed to be multiprofessional and pilot tested with a sample of 467 nurses and healthcare support workers in acute care and then validated with a sample of 1698 staff working across acute, mental health and community services in England. Exploratory factor analysis was used to identify dimensions underlying the Barometer. Results Psychometric testing resulted in the development of a 30-item questionnaire linked to four domains with retained items loading to four factors: organisational values (α=0.93, valid n=1568, M=3.7), team support (α=0.93, valid n=1557, M=3.2), relationships with colleagues (α=0.84, valid n=1617, M=4.0) and job constraints (α=0.70, valid n=1616, M=3.3). Conclusions The study developed a valid and reliable instrument with which to gauge the different attributes of care culture perceived by healthcare staff with potential for organisational benchmarking. PMID:28821526

Development and testing of the 'Culture of Care Barometer' (CoCB) in healthcare organisations: a mixed methods study.

PubMed

Rafferty, Anne Marie; Philippou, Julia; Fitzpatrick, Joanne M; Pike, Geoff; Ball, Jane

2017-08-18

Concerns about care quality have prompted calls to create workplace cultures conducive to high-quality, safe and compassionate care and to provide a supportive environment in which staff can operate effectively. How healthcare organisations assess their culture of care is an important first step in creating such cultures. This article reports on the development and validation of a tool, the Culture of Care Barometer, designed to assess perceptions of a caring culture among healthcare workers preliminary to culture change. An exploratory mixed methods study designed to develop and test the validity of a tool to measure 'culture of care' through focus groups and questionnaires. Questionnaire development was facilitated through: a literature review, experts generating items of interest and focus group discussions with healthcare staff across specialities, roles and seniority within three types of public healthcare organisations in the UK. The tool was designed to be multiprofessional and pilot tested with a sample of 467 nurses and healthcare support workers in acute care and then validated with a sample of 1698 staff working across acute, mental health and community services in England. Exploratory factor analysis was used to identify dimensions underlying the Barometer. Psychometric testing resulted in the development of a 30-item questionnaire linked to four domains with retained items loading to four factors: organisational values (α=0.93, valid n=1568, M=3.7), team support (α=0.93, valid n=1557, M=3.2), relationships with colleagues (α=0.84, valid n=1617, M=4.0) and job constraints (α=0.70, valid n=1616, M=3.3). The study developed a valid and reliable instrument with which to gauge the different attributes of care culture perceived by healthcare staff with potential for organisational benchmarking. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Land-use change in oil palm dominated tropical landscapes-An agent-based model to explore ecological and socio-economic trade-offs.

PubMed

Dislich, Claudia; Hettig, Elisabeth; Salecker, Jan; Heinonen, Johannes; Lay, Jann; Meyer, Katrin M; Wiegand, Kerstin; Tarigan, Suria

2018-01-01

Land-use changes have dramatically transformed tropical landscapes. We describe an ecological-economic land-use change model as an integrated, exploratory tool used to analyze how tropical land-use change affects ecological and socio-economic functions. The model analysis seeks to determine what kind of landscape mosaic can improve the ensemble of ecosystem functioning, biodiversity, and economic benefit based on the synergies and trade-offs that we have to account for. More specifically, (1) how do specific ecosystem functions, such as carbon storage, and economic functions, such as household consumption, relate to each other? (2) How do external factors, such as the output prices of crops, affect these relationships? (3) How do these relationships change when production inefficiency differs between smallholder farmers and learning is incorporated? We initialize the ecological-economic model with artificially generated land-use maps parameterized to our study region. The economic sub-model simulates smallholder land-use management decisions based on a profit maximization assumption. Each household determines factor inputs for all household fields and decides on land-use change based on available wealth. The ecological sub-model includes a simple account of carbon sequestration in above-ground and below-ground vegetation. We demonstrate model capabilities with results on household consumption and carbon sequestration from different output price and farming efficiency scenarios. The overall results reveal complex interactions between the economic and ecological spheres. For instance, model scenarios with heterogeneous crop-specific household productivity reveal a comparatively high inertia of land-use change. Our model analysis even shows such an increased temporal stability in landscape composition and carbon stocks of the agricultural area under dynamic price trends. These findings underline the utility of ecological-economic models, such as ours, to act as exploratory tools which can advance our understanding of the mechanisms underlying the trade-offs and synergies of ecological and economic functions in tropical landscapes.

Land-use change in oil palm dominated tropical landscapes—An agent-based model to explore ecological and socio-economic trade-offs

PubMed Central

Dislich, Claudia; Hettig, Elisabeth; Heinonen, Johannes; Lay, Jann; Meyer, Katrin M.; Wiegand, Kerstin; Tarigan, Suria

2018-01-01

Land-use changes have dramatically transformed tropical landscapes. We describe an ecological-economic land-use change model as an integrated, exploratory tool used to analyze how tropical land-use change affects ecological and socio-economic functions. The model analysis seeks to determine what kind of landscape mosaic can improve the ensemble of ecosystem functioning, biodiversity, and economic benefit based on the synergies and trade-offs that we have to account for. More specifically, (1) how do specific ecosystem functions, such as carbon storage, and economic functions, such as household consumption, relate to each other? (2) How do external factors, such as the output prices of crops, affect these relationships? (3) How do these relationships change when production inefficiency differs between smallholder farmers and learning is incorporated? We initialize the ecological-economic model with artificially generated land-use maps parameterized to our study region. The economic sub-model simulates smallholder land-use management decisions based on a profit maximization assumption. Each household determines factor inputs for all household fields and decides on land-use change based on available wealth. The ecological sub-model includes a simple account of carbon sequestration in above-ground and below-ground vegetation. We demonstrate model capabilities with results on household consumption and carbon sequestration from different output price and farming efficiency scenarios. The overall results reveal complex interactions between the economic and ecological spheres. For instance, model scenarios with heterogeneous crop-specific household productivity reveal a comparatively high inertia of land-use change. Our model analysis even shows such an increased temporal stability in landscape composition and carbon stocks of the agricultural area under dynamic price trends. These findings underline the utility of ecological-economic models, such as ours, to act as exploratory tools which can advance our understanding of the mechanisms underlying the trade-offs and synergies of ecological and economic functions in tropical landscapes. PMID:29351290

Planning representation for automated exploratory data analysis

NASA Astrophysics Data System (ADS)

St. Amant, Robert; Cohen, Paul R.

1994-03-01

Igor is a knowledge-based system for exploratory statistical analysis of complex systems and environments. Igor has two related goals: to help automate the search for interesting patterns in data sets, and to help develop models that capture significant relationships in the data. We outline a language for Igor, based on techniques of opportunistic planning, which balances control and opportunism. We describe the application of Igor to the analysis of the behavior of Phoenix, an artificial intelligence planning system.

Interactive and Approachable Web-Based Tools for Exploring Global Geophysical Data Records

NASA Astrophysics Data System (ADS)

Croteau, M. J.; Nerem, R. S.; Merrifield, M. A.; Thompson, P. R.; Loomis, B. D.; Wiese, D. N.; Zlotnicki, V.; Larson, J.; Talpe, M.; Hardy, R. A.

2017-12-01

Making global and regional data accessible and understandable for non-experts can be both challenging and hazardous. While data products are often developed with end users in mind, the ease of use of these data can vary greatly. Scientists must take care to provide detailed guides for how to use data products to ensure users are not incorrectly applying data to their problem. For example, terrestrial water storage data from the Gravity Recovery and Climate Experiment (GRACE) satellite mission is notoriously difficult for non-experts to access and correctly use. However, allowing these data to be easily accessible to scientists outside the GRACE community is desirable because this would allow that data to see much wider-spread use. We have developed a web-based interactive mapping and plotting tool that provides easy access to geophysical data. This work presents an intuitive method for making such data widely accessible to experts and non-experts alike, making the data approachable and ensuring proper use of the data. This tool has proven helpful to experts by providing fast and detailed access to the data. Simultaneously, the tool allows non-experts to gain familiarity with the information contained in the data and access to that information for both scientific studies and public use. In this presentation, we discuss the development of this tool and application to both GRACE and ocean altimetry satellite missions, and demonstrate the capabilities of the tool. Focusing on the data visualization aspects of the tool, we showcase our integrations of the Mapbox API and the D3.js data-driven web document framework. We then explore the potential of these tools in other web-based visualization projects, and how incorporation of such tools into science can improve the presentation of research results. We demonstrate how the development of an interactive and exploratory resource can enable further layers of exploratory and scientific discovery.

Remote sensing and GIS integration: Towards intelligent imagery within a spatial data infrastructure

NASA Astrophysics Data System (ADS)

Abdelrahim, Mohamed Mahmoud Hosny

2001-11-01

In this research, an "Intelligent Imagery System Prototype" (IISP) was developed. IISP is an integration tool that facilitates the environment for active, direct, and on-the-fly usage of high resolution imagery, internally linked to hidden GIS vector layers, to query the real world phenomena and, consequently, to perform exploratory types of spatial analysis based on a clear/undisturbed image scene. The IISP was designed and implemented using the software components approach to verify the hypothesis that a fully rectified, partially rectified, or even unrectified digital image can be internally linked to a variety of different hidden vector databases/layers covering the end user area of interest, and consequently may be reliably used directly as a base for "on-the-fly" querying of real-world phenomena and for performing exploratory types of spatial analysis. Within IISP, differentially rectified, partially rectified (namely, IKONOS GEOCARTERRA(TM)), and unrectified imagery (namely, scanned aerial photographs and captured video frames) were investigated. The system was designed to handle four types of spatial functions, namely, pointing query, polygon/line-based image query, database query, and buffering. The system was developed using ESRI MapObjects 2.0a as the core spatial component within Visual Basic 6.0. When used to perform the pre-defined spatial queries using different combinations of image and vector data, the IISP provided the same results as those obtained by querying pre-processed vector layers even when the image used was not orthorectified and the vector layers had different parameters. In addition, the real-time pixel location orthorectification technique developed and presented within the IKONOS GEOCARTERRA(TM) case provided a horizontal accuracy (RMSE) of +/- 2.75 metres. This accuracy is very close to the accuracy level obtained when purchasing the orthorectified IKONOS PRECISION products (RMSE of +/- 1.9 metre). The latter cost approximately four times as much as the IKONOS GEOCARTERRA(TM) products. The developed IISP is a step closer towards the direct and active involvement of high-resolution remote sensing imagery in querying the real world and performing exploratory types of spatial analysis. (Abstract shortened by UMI.)

Musical representation of dendritic spine distribution: a new exploratory tool.

PubMed

Toharia, Pablo; Morales, Juan; de Juan, Octavio; Fernaud, Isabel; Rodríguez, Angel; DeFelipe, Javier

2014-04-01

Dendritic spines are small protrusions along the dendrites of many types of neurons in the central nervous system and represent the major target of excitatory synapses. For this reason, numerous anatomical, physiological and computational studies have focused on these structures. In the cerebral cortex the most abundant and characteristic neuronal type are pyramidal cells (about 85 % of all neurons) and their dendritic spines are the main postsynaptic target of excitatory glutamatergic synapses. Thus, our understanding of the synaptic organization of the cerebral cortex largely depends on the knowledge regarding synaptic inputs to dendritic spines of pyramidal cells. Much of the structural data on dendritic spines produced by modern neuroscience involves the quantitative analysis of image stacks from light and electron microscopy, using standard statistical and mathematical tools and software developed to this end. Here, we present a new method with musical feedback for exploring dendritic spine morphology and distribution patterns in pyramidal neurons. We demonstrate that audio analysis of spiny dendrites with apparently similar morphology may "sound" quite different, revealing anatomical substrates that are not apparent from simple visual inspection. These morphological/music translations may serve as a guide for further mathematical analysis of the design of the pyramidal neurons and of spiny dendrites in general.

Undergraduate nursing students' perspectives on clinical assessment at transition to practice.

PubMed

Wu, Xi Vivien; Wang, Wenru; Pua, Lay Hoon; Heng, Doreen Gek Noi; Enskär, Karin

2015-01-01

Assessment of clinical competence requires explicitly defined standards meeting the national standards of the nursing profession. This is a complex process because of the diverse nature of nursing practice. To explore the perceptions of final-year undergraduate nursing students regarding clinical assessment at transition to practice. An exploratory qualitative approach was adopted. Twenty-four students participated in three focus group discussions. Thematic analysis was conducted. Five themes emerged: the need for a valid and reliable clinical assessment tool, the need for a flexible style of reflection and specific feedback, the dynamic clinical learning environment, students' efforts in learning and assessment, and the unclear support system for preceptors. Workload, time, resource availability, adequate preparation of preceptors, and the provision of valid and reliable clinical assessment tools were deemed to influence the quality of students' clinical learning and assessment. Nursing leadership in hospitals and educational institutions has a joint responsibility in shaping the clinical learning environment and providing clinical assessments for the students.

Psychometric evaluation of a new instrument in Spanish to measure the wellness of university nursing faculty.

PubMed

Hurtado-Pardos, Barbara; Casas, Irma; Lluch-Canut, Teresa; Moreno-Arroyo, Carmen; Nebot-Bergua, Carlos; Roldán-Merino, Juan

2018-01-02

The aim of this study was to design and validate an instrument to measure the wellness among university nursing faculty. The study was performed in two phases. Phase I consisted of the development of the instrument with discussion groups and participant consensus. We designed an instrument including the 21 items or psychosocial risk factors identified and estimated an index by evaluating the frequency and intensity of each item. The items were grouped into 3 dimensions: teaching work demands, curricular demands, and organizational difficulties. Phase II, we evaluated the psychometric properties of the tool in a sample of 263 participants. Exploratory factor analysis showed a 3-factor structure that explained 53% of the total variance. The internal consistency of the instrument was 0.91 for the whole instrument. The results indicate that the tool developed is valid and reliable and may be a good instrument to monitor the wellness of university nursing faculty.

Development of the Leadership Influence Self-Assessment (LISA©) instrument.

PubMed

Shillam, Casey R; Adams, Jeffrey M; Bryant, Debbie Chatman; Deupree, Joy P; Miyamoto, Suzanne; Gregas, Matt

This study aims to describe the development and psychometric evaluation of the Leadership Influence Self-Assessment (LISA©) tool. LISA© was designed to help nurse leaders assess and enhance their influence capacity by measuring influence traits and practices and identifying areas of strength and weakness. Concepts identified in the Adams Influence Model and input from content experts guided the development of 145 items for testing. Administered to 165 nurse leaders, the assessment was subjected to exploratory factor analysis (EFA). EFA yielded a four-factor solution that comprised 80 items. Cronbach's alpha for factors ranged between 0.912 and 0.938. All factor loadings were >0.4; the smallest factor contained 14 items. Items grouped together in the theoretical model also clustered together in the EFA. Preliminary psychometric testing supports validity and reliability of the LISA© and its potential use as a tool to assess influence capacity for purposes of leadership development and research. Copyright © 2017 Elsevier Inc. All rights reserved.

Social Media Visual Analytics for Events

NASA Astrophysics Data System (ADS)

Diakopoulos, Nicholas; Naaman, Mor; Yazdani, Tayebeh; Kivran-Swaine, Funda

For large-scale multimedia events such as televised debates and speeches, the amount of content on social media channels such as Facebook or Twitter can easily become overwhelming, yet still contain information that may aid and augment understanding of the multimedia content via individual social media items, or aggregate information from the crowd's response. In this work we discuss this opportunity in the context of a social media visual analytic tool, Vox Civitas, designed to help journalists, media professionals, or other researchers make sense of large-scale aggregations of social media content around multimedia broadcast events. We discuss the design of the tool, present and evaluate the text analysis techniques used to enable the presentation, and detail the visual and interaction design. We provide an exploratory evaluation based on a user study in which journalists interacted with the system to analyze and report on a dataset of over one 100 000 Twitter messages collected during the broadcast of the U.S. State of the Union presidential address in 2010.

Development of a tool to describe overall health, social independence and activity limitation of adolescents and young adults with disability.

PubMed

Deroche, Chelsea B; Holland, Margaret M; McDermott, Suzanne; Royer, Julie A; Hardin, James W; Mann, Joshua R; Salzberg, Deborah; Ozturk, Orgul; Ouyang, Lijing

2015-03-01

There is a need for research that focuses on the correlation between self-perceived quality of life (QoL) and the health outcomes of adolescents with disability transitioning to adulthood. To better understand the transition experience of adolescents and young adults with disability, we developed a questionnaire to assess the impact of disability on QoL. We recruited 174 participants who were 15-24 years old and diagnosed with Fragile X syndrome (FXS), spina bifida (SB) or muscular dystrophy (MD) and conducted an exploratory factor analysis to identify factors that characterize QoL. Five factors emerged: emotional health, physical health, independence, activity limitation, and community participation. To validate the tool, we linked medical claims and other administrative data records and examined the association of the factor scores with health care utilization and found the questionnaire can be utilized among diverse groups of young people with disability. Copyright © 2014 Elsevier Ltd. All rights reserved.

Intelligence Collection Targeting and Interdiction of Dark Networks

DTIC Science & Technology

2014-06-01

2006): 346. 26 Wouter de Nooy, Andrej Mrvar , and Vladimir Batagelj . Exploratory Social Network Analysis with Pajek, 2nd ed. (Cambridge: Cambridge...Pittsburgh, PA: Carnegie Mellon University, 2013. de Nooy, Wouter, Andrej Mrvar , and Vladimir Batagelj . Exploratory Social Network Analysis with...al-Qaeda’s leaders had closely followed the April 1996 assassination of Dzhokhar Dudayev, the Chechen prime minister, who was killed by a Russian

Graduate nurses' evaluation of mentorship: Development of a new tool.

PubMed

Tiew, Lay Hwa; Koh, Catherine S L; Creedy, Debra K; Tam, W S W

2017-07-01

Develop and test an instrument to measure graduate-nurses' perceptions of a structured mentorship program. New graduate nurses may experience difficulties in the transition from student to practitioner. Mentoring is commonly used to support graduates. However, there is a lack of published tools measuring graduate nurses' perceptions of mentorship. As mentoring is resource intensive, development and testing of a validated tool are important to assist in determining program effectiveness. A pretest-posttest interventional design was used. Following a critical review of literature and content experts' input, the 10-item National University Hospital Mentorship Evaluation (NUH ME) instrument was tested with a convenience sample of 83 graduate nurses. Psychometric tests included internal reliability, stability, content validity, and factor analysis. Changed scores were evaluated using paired samples t-test. Seventy-three graduates (88%) out of a possible 83 completed the pre-and post-program survey. Internal reliability was excellent with a Cronbach's alpha of 0.92. Test-retest reliability was stable over time (ICC=0.81). Exploratory factor analysis supported a 1-factor solution explaining 58.2% of variance. Paired samples t-test showed statistical significance between the pre- and post-program scores (p<0.001). The NUH-ME measure was found to be valid and reliable. Confirmatory Factor Analysis of the tool with different groups of nursing graduates is required. Mentorship programs can be an effective recruitment and retention strategy, but are also resource intensive. Measuring new graduates' perceptions of mentoring contributes to program relevance in addressing their personal, professional and clinical skill development needs. As mentoring engages a diverse range of mentors, feedback through measurement may also positively alter organizational learning culture. Copyright © 2017. Published by Elsevier Ltd.

GISpark: A Geospatial Distributed Computing Platform for Spatiotemporal Big Data

NASA Astrophysics Data System (ADS)

Wang, S.; Zhong, E.; Wang, E.; Zhong, Y.; Cai, W.; Li, S.; Gao, S.

2016-12-01

Geospatial data are growing exponentially because of the proliferation of cost effective and ubiquitous positioning technologies such as global remote-sensing satellites and location-based devices. Analyzing large amounts of geospatial data can provide great value for both industrial and scientific applications. Data- and compute- intensive characteristics inherent in geospatial big data increasingly pose great challenges to technologies of data storing, computing and analyzing. Such challenges require a scalable and efficient architecture that can store, query, analyze, and visualize large-scale spatiotemporal data. Therefore, we developed GISpark - a geospatial distributed computing platform for processing large-scale vector, raster and stream data. GISpark is constructed based on the latest virtualized computing infrastructures and distributed computing architecture. OpenStack and Docker are used to build multi-user hosting cloud computing infrastructure for GISpark. The virtual storage systems such as HDFS, Ceph, MongoDB are combined and adopted for spatiotemporal data storage management. Spark-based algorithm framework is developed for efficient parallel computing. Within this framework, SuperMap GIScript and various open-source GIS libraries can be integrated into GISpark. GISpark can also integrated with scientific computing environment (e.g., Anaconda), interactive computing web applications (e.g., Jupyter notebook), and machine learning tools (e.g., TensorFlow/Orange). The associated geospatial facilities of GISpark in conjunction with the scientific computing environment, exploratory spatial data analysis tools, temporal data management and analysis systems make up a powerful geospatial computing tool. GISpark not only provides spatiotemporal big data processing capacity in the geospatial field, but also provides spatiotemporal computational model and advanced geospatial visualization tools that deals with other domains related with spatial property. We tested the performance of the platform based on taxi trajectory analysis. Results suggested that GISpark achieves excellent run time performance in spatiotemporal big data applications.

Validating a work group climate assessment tool for improving the performance of public health organizations

PubMed Central

Perry, Cary; LeMay, Nancy; Rodway, Greg; Tracy, Allison; Galer, Joan

2005-01-01

Background This article describes the validation of an instrument to measure work group climate in public health organizations in developing countries. The instrument, the Work Group Climate Assessment Tool (WCA), was applied in Brazil, Mozambique, and Guinea to assess the intermediate outcomes of a program to develop leadership for performance improvement. Data were collected from 305 individuals in 42 work groups, who completed a self-administered questionnaire. Methods The WCA was initially validated using Cronbach's alpha reliability coefficient and exploratory factor analysis. This article presents the results of a second validation study to refine the initial analyses to account for nested data, to provide item-level psychometrics, and to establish construct validity. Analyses included eigenvalue decomposition analysis, confirmatory factor analysis, and validity and reliability analyses. Results This study confirmed the validity and reliability of the WCA across work groups with different demographic characteristics (gender, education, management level, and geographical location). The study showed that there is agreement between the theoretical construct of work climate and the items in the WCA tool across different populations. The WCA captures a single perception of climate rather than individual sub-scales of clarity, support, and challenge. Conclusion The WCA is useful for comparing the climates of different work groups, tracking the changes in climate in a single work group over time, or examining differences among individuals' perceptions of their work group climate. Application of the WCA before and after a leadership development process can help work groups hold a discussion about current climate and select a target for improvement. The WCA provides work groups with a tool to take ownership of their own group climate through a process that is simple and objective and that protects individual confidentiality. PMID:16223447

Comparative evaluation of the content and structure of communication using two handoff tools: implications for patient safety.

PubMed

Abraham, Joanna; Kannampallil, Thomas G; Almoosa, Khalid F; Patel, Bela; Patel, Vimla L

2014-04-01

Handoffs vary in their structure and content, raising concerns regarding standardization. We conducted a comparative evaluation of the nature and patterns of communication on 2 functionally similar but conceptually different handoff tools: Subjective, Objective, Assessment and Plan, based on a patient problem-based format, and Handoff Intervention Tool (HAND-IT), based on a body system-based format. A nonrandomized pre-post prospective intervention study supported by audio recordings and observations of 82 resident handoffs was conducted in a medical intensive care unit. Qualitative analysis was complemented with exploratory sequential pattern analysis techniques to capture the characteristics and types of communication events (CEs) and breakdowns. Use of HAND-IT led to fewer communication breakdowns (F1,80 = 45.66: P < .0001), greater number of CEs (t40 = 4.56; P < .001), with more ideal CEs than Subjective, Objective, Assessment and Plan (t40 = 9.27; P < .001). In addition, the use of HAND-IT was characterized by more request-response CE transitions. The HAND-IT's body system-based structure afforded physicians the ability to better organize and comprehend patient information and led to an interactive and streamlined communication, with limited external input. Our results also emphasize the importance of information organization using a medical knowledge hierarchical format for fostering effective communication. Copyright © 2014 Elsevier Inc. All rights reserved.

The development of the PARENTS: a tool for parents to assess residents' non-technical skills in pediatric emergency departments.

PubMed

Moreau, Katherine A; Eady, Kaylee; Tang, Kenneth; Jabbour, Mona; Frank, Jason R; Campbell, Meaghan; Hamstra, Stanley J

2017-11-14

Parents can assess residents' non-technical skills (NTS) in pediatric emergency departments (EDs). There are no assessment tools, with validity evidence, for parental use in pediatric EDs. The purpose of this study was to develop the Parents' Assessment of Residents Enacting Non-Technical Skills (PARENTS) educational assessment tool and collect three sources of validity evidence (i.e., content, response process, internal structure) for it. We established content evidence for the PARENTS through interviews with physician-educators and residents, focus groups with parents, a literature review, and a modified nominal group technique with experts. We collected response process evidence through cognitive interviews with parents. To examine the internal structure evidence, we administered the PARENTS and performed exploratory factor analysis. Initially, a 20-item PARENTS was developed. Cognitive interviews led to the removal of one closed-ended item, the addition of resident photographs, and wording/formatting changes. Thirty-seven residents and 434 parents participated in the administration of the resulting 19-item PARENTS. Following factor analysis, a one-factor model prevailed. The study presents initial validity evidence for the PARENTS. It also highlights strategies for potentially: (a) involving parents in the assessment of residents, (b) improving the assessment of NTS in pediatric EDs, and (c) capturing parents' perspectives to improve the preparation of future physicians.

Construction and Validation of a Questionnaire about Heart Failure Patients' Knowledge of Their Disease

PubMed Central

Bonin, Christiani Decker Batista; dos Santos, Rafaella Zulianello; Ghisi, Gabriela Lima de Melo; Vieira, Ariany Marques; Amboni, Ricardo; Benetti, Magnus

2014-01-01

Background The lack of tools to measure heart failure patients' knowledge about their syndrome when participating in rehabilitation programs demonstrates the need for specific recommendations regarding the amount or content of information required. Objectives To develop and validate a questionnaire to assess heart failure patients' knowledge about their syndrome when participating in cardiac rehabilitation programs. Methods The tool was developed based on the Coronary Artery Disease Education Questionnaire and applied to 96 patients with heart failure, with a mean age of 60.22 ± 11.6 years, 64% being men. Reproducibility was obtained via the intraclass correlation coefficient, using the test-retest method. Internal consistency was assessed by use of Cronbach's alpha, and construct validity, by use of exploratory factor analysis. Results The final version of the tool had 19 questions arranged in ten areas of importance for patient education. The proposed questionnaire had a clarity index of 8.94 ± 0.83. The intraclass correlation coefficient was 0.856, and Cronbach's alpha, 0.749. Factor analysis revealed five factors associated with the knowledge areas. Comparing the final scores with the characteristics of the population evidenced that low educational level and low income are significantly associated with low levels of knowledge. Conclusion The instrument has satisfactory clarity and validity indices, and can be used to assess the heart failure patients' knowledge about their syndrome when participating in cardiac rehabilitation programs. PMID:24652054

The development and validation of the clinicians' awareness towards cognitive errors (CATChES) in clinical decision making questionnaire tool.

PubMed

Chew, Keng Sheng; Kueh, Yee Cheng; Abdul Aziz, Adlihafizi

2017-03-21

Despite their importance on diagnostic accuracy, there is a paucity of literature on questionnaire tools to assess clinicians' awareness toward cognitive errors. A validation study was conducted to develop a questionnaire tool to evaluate the Clinician's Awareness Towards Cognitive Errors (CATChES) in clinical decision making. This questionnaire is divided into two parts. Part A is to evaluate the clinicians' awareness towards cognitive errors in clinical decision making while Part B is to evaluate their perception towards specific cognitive errors. Content validation for both parts was first determined followed by construct validation for Part A. Construct validation for Part B was not determined as the responses were set in a dichotomous format. For content validation, all items in both Part A and Part B were rated as "excellent" in terms of their relevance in clinical settings. For construct validation using exploratory factor analysis (EFA) for Part A, a two-factor model with total variance extraction of 60% was determined. Two items were deleted. Then, the EFA was repeated showing that all factor loadings are above the cut-off value of >0.5. The Cronbach's alpha for both factors are above 0.6. The CATChES questionnaire tool is a valid questionnaire tool aimed to evaluate the awareness among clinicians toward cognitive errors in clinical decision making.

Development of a Comprehensive Assessment of Food Parenting Practices: The Home Self-Administered Tool for Environmental Assessment of Activity and Diet Family Food Practices Survey.

PubMed

Vaughn, Amber E; Dearth-Wesley, Tracy; Tabak, Rachel G; Bryant, Maria; Ward, Dianne S

2017-02-01

Parents' food parenting practices influence children's dietary intake and risk for obesity and chronic disease. Understanding the influence and interactions between parents' practices and children's behavior is limited by a lack of development and psychometric testing and/or limited scope of current measures. The Home Self-Administered Tool for Environmental Assessment of Activity and Diet (HomeSTEAD) was created to address this gap. This article describes development and psychometric testing of the HomeSTEAD family food practices survey. Between August 2010 and May 2011, a convenience sample of 129 parents of children aged 3 to 12 years were recruited from central North Carolina and completed the self-administered HomeSTEAD survey on three occasions during a 12- to 18-day window. Demographic characteristics and child diet were assessed at Time 1. Child height and weight were measured during the in-home observations (following Time 1 survey). Exploratory factor analysis with Time 1 data was used to identify potential scales. Scales with more than three items were examined for scale reduction. Following this, mean scores were calculated at each time point. Construct validity was assessed by examining Spearman rank correlations between mean scores (Time 1) and children's diet (fruits and vegetables, sugar-sweetened beverages, snacks, sweets) and body mass index (BMI) z scores. Repeated measures analysis of variance was used to examine differences in mean scores between time points, and single-measure intraclass correlations were calculated to examine test-retest reliability between time points. Exploratory factor analysis identified 24 factors and retained 124 items; however, scale reduction narrowed items to 86. The final instrument captures five coercive control practices (16 items), seven autonomy support practices (24 items), and 12 structure practices (46 items). All scales demonstrated good internal reliability (α>.62), 18 factors demonstrated construct validity (significant association with child diet, P<0.05), and 22 demonstrated good reliability (intraclass correlation coefficient>0.61). The HomeSTEAD family food practices survey provides a brief, yet comprehensive and psychometrically sound assessment of food parenting practices. Copyright © 2017 Academy of Nutrition and Dietetics. Published by Elsevier Inc. All rights reserved.

Finding the State Story in the National Lake Survey Data with an Excel Exploratory Tool

EPA Science Inventory

The National Lakes Assessment (NLA) surveyed over 1200 U.S. lakes in the summer of 2007, evaluating lake quality based on water quality, physical habitat, and indicators of biological and recreational condition. An upcoming national report will summarize survey results primarily ...

Is Communications a Strategic Activity in UK Education?

ERIC Educational Resources Information Center

Chapleo, Chris

2006-01-01

This qualitative exploratory paper investigates whether communications/public relations is regarded by opinion formers in UK education as a strategic business activity or a tactical marketing tool. It is based upon depth interviews with 16 senior managers with strategic roles in UK higher or further education, or Government bodies, conducted…

Preservice Teachers in Special Education: Using Edublogs for Transition Collaboration

ERIC Educational Resources Information Center

Seabrooks-Blackmore, Janice; Patterson, Karen B.

2013-01-01

This was an exploratory study that examined the introduction and use of Edublogs as a collaborative communication tool in an undergraduate preservice special education course. Participants were enrolled in a course that addressed transition and the development of individualized transition education plans for students with disabilities. Pre- and…

School Psychology in the Czech Republic: Development, Status and Practice

ERIC Educational Resources Information Center

Kavenská, Veronika; Smékalová, Eleonora; Šmahaj, Jan

2013-01-01

This intensive exploratory research maps the working conditions of school psychologists in the Czech Republic. An electronic questionnaire consisting of 71 questions (58 quantitative, 13 qualitative) from nine fields was used as a research tool. The respondent sample ("N"?=?63; 53 females, 10 males) indicate that they are largely…

Integrating Technology Tools for Students Struggling with Written Language

ERIC Educational Resources Information Center

Fedora, Pledger

2015-01-01

This exploratory study was designed to assess the experience of preservice teachers when integrating written language technology and their likelihood of applying that technology in their future classrooms. Results suggest that after experiencing technology integration, preservice teachers are more likely to use it in their future teaching.

Personal Factors Impacting College Student Success: Constructing College Learning Effectiveness Inventory (CLEI)

ERIC Educational Resources Information Center

Kim, Eunhee; Newton, Fred B.; Downey, Ronald G.; Benton, Stephen L.

2010-01-01

The College Learning Effectiveness Inventory, a new assessment tool identifying personal variables important to college student success, was constructed using empirical approaches grounded in a conceptual model. The exploratory and confirmatory studies revealed the six-underlying factors: Academic Self-Efficacy, Organization and Attention to…

An Exploratory Use of Musical Metaphors to Enhance Student Learning

ERIC Educational Resources Information Center

Weinrauch, J. Donald

2005-01-01

This article provides the role, scope, instructional experiences, and prospects of employing musical metaphors as a possible teaching tool. Interactive student learning is encouraged by actually playing songs in marketing strategy courses. First, an overview on the explanation and popularity of metaphors in both nonbusiness and business fields…

The MIMIC Model as a Tool for Differential Bundle Functioning Detection

ERIC Educational Resources Information Center

Finch, W. Holmes

2012-01-01

Increasingly, researchers interested in identifying potentially biased test items are encouraged to use a confirmatory, rather than exploratory, approach. One such method for confirmatory testing is rooted in differential bundle functioning (DBF), where hypotheses regarding potential differential item functioning (DIF) for sets of items (bundles)…

Development and Exploratory Validation of an Organizational Efficacy Scale

ERIC Educational Resources Information Center

Bohn, James G.

2010-01-01

Although many instruments have been developed to measure organizational constructs such as citizenship, climate, and organization-based esteem, to date no scale has been designed specifically to measure efficacy at the organizational level. Tools to measure organizational efficacy in a business context have been recommended for over two decades.…

Administrating Transnational Education: A Cross-Cultural Application of Hodgkinson's Values Paradigm

ERIC Educational Resources Information Center

Eldridge, Kaye; Cranston, Neil

2009-01-01

This article reports on an exploratory study which employed Hodgkinson's values paradigm as an analytical tool for explaining how administrators of transnational education programmes understand national cultural values to affect their work and working environment. In particular, interviews with managers responsible for Australia's provision of…

The Discussion of Biotechnology Controversial Issues--An Exploratory Study about Its Potentialities.

ERIC Educational Resources Information Center

Rocha dos Reis, Pedro

This paper describes a qualitative research that used small group discussion activities centered in biotechnology and genetics controversies as a contribution to the promotion of students' thinking tools. Students' written conclusions and reflections about the activities, teachers' interviews, participant observation of the classes, and their…

Tools and data acquisition of borehole geophysical logging for the Florida Power and Light Company Turkey Point Power Plant in support of a groundwater, surface-water, and ecological monitoring plan, Miami-Dade County, Florida

USGS Publications Warehouse

Wacker, Michael A.

2010-01-01

Borehole geophysical logs were obtained from selected exploratory coreholes in the vicinity of the Florida Power and Light Company Turkey Point Power Plant. The geophysical logging tools used and logging sequences performed during this project are summarized herein to include borehole logging methods, descriptions of the properties measured, types of data obtained, and calibration information.

A comparison of three approaches for simulating fine-scale surface winds in support of wildland fire management. Part II. An exploratory study of the effect of simulated winds on fire growth simulations

Treesearch

Jason M. Forthofer; Bret W. Butler; Charles W. McHugh; Mark A. Finney; Larry S. Bradshaw; Richard D. Stratton; Kyle S. Shannon; Natalie S. Wagenbrenner

2014-01-01

The effect of fine-resolution wind simulations on fire growth simulations is explored. The wind models are (1) a wind field consisting of constant speed and direction applied everywhere over the area of interest; (2) a tool based on the solution of the conservation of mass only (termed mass-conserving model) and (3) a tool based on a solution of conservation of mass...

Genonets server-a web server for the construction, analysis and visualization of genotype networks.

PubMed

Khalid, Fahad; Aguilar-Rodríguez, José; Wagner, Andreas; Payne, Joshua L

2016-07-08

A genotype network is a graph in which vertices represent genotypes that have the same phenotype. Edges connect vertices if their corresponding genotypes differ in a single small mutation. Genotype networks are used to study the organization of genotype spaces. They have shed light on the relationship between robustness and evolvability in biological systems as different as RNA macromolecules and transcriptional regulatory circuits. Despite the importance of genotype networks, no tool exists for their automatic construction, analysis and visualization. Here we fill this gap by presenting the Genonets Server, a tool that provides the following features: (i) the construction of genotype networks for categorical and univariate phenotypes from DNA, RNA, amino acid or binary sequences; (ii) analyses of genotype network topology and how it relates to robustness and evolvability, as well as analyses of genotype network topography and how it relates to the navigability of a genotype network via mutation and natural selection; (iii) multiple interactive visualizations that facilitate exploratory research and education. The Genonets Server is freely available at http://ieu-genonets.uzh.ch. © The Author(s) 2016. Published by Oxford University Press on behalf of Nucleic Acids Research.

Analytics For Distracted Driver Behavior Modeling in Dilemma Zone

DOE Office of Scientific and Technical Information (OSTI.GOV)

Li, Jan-Mou; Malikopoulos, Andreas; Thakur, Gautam

2014-01-01

In this paper, we present the results obtained and insights gained through the analysis of TRB contest data. We used exploratory analysis, regression, and clustering models for gaining insights into the driver behavior in a dilemma zone while driving under distraction. While simple exploratory analysis showed the distinguishing driver behavior patterns among different popu- lation groups in the dilemma zone, regression analysis showed statically signification relationships between groups of variables. In addition to analyzing the contest data, we have also looked into the possible impact of distracted driving on the fuel economy.

Flying Schedule-Matching Descents to Explore Flight Crews' Perceptions of Their Load and Task Feasibility

NASA Technical Reports Server (NTRS)

Martin, Lynne Hazel; Sharma, Shivanjli; Lozito, Sharon; Kaneshige, John; Hayashi, Miwa; Dulchinos, Victoria

2012-01-01

Multiple studies have investigated the development and use of ground-based (controller) tools to manage and schedule traffic in future terminal airspace. No studies have investigated the impacts that such tools (and concepts) could have on the flight-deck. To begin to redress the balance, an exploratory study investigated the procedures and actions of ten Boeing-747-400 crews as they flew eight continuous descent approaches in the Los Angeles terminal airspace, with the descents being controlled using speed alone. Although the study was exploratory in nature, four variables were manipulated: speed changes, route constraints, clearance phraseology, and winds. Despite flying the same scenarios with the same events and timing, there was at least a 50 second difference in the time it took crews to fly the approaches. This variation is the product of a number of factors but highlights potential difficulties for scheduling tools that would have to accommodate this amount of natural variation in descent times. The primary focus of this paper is the potential impact of ground scheduling tools on the flight crews performance and procedures. Crews reported "moderate to low" workload, on average; however, short periods of intense and high workload were observed. The non-flying pilot often reported a higher level of workload than the flying-pilot, which may be due to their increased interaction with the Flight Management Computer, when using the aircraft automation to assist with managing the descent clearances. It is concluded that ground-side tools and automation may have a larger impact on the current-day flight-deck than was assumed and that studies investigating this impact should continue in parallel with controller support tool development.

An Exploratory Analysis of Factors Affecting Participation in Air Force Knowledge Now Communities of Practice

DTIC Science & Technology

2004-03-01

reliability coefficients are presented in chapter four in the factor analysis section. Along with Crobach’s Alpha coefficients, the Kaiser - Meyer - Olkin ...the pattern of correlation coefficients > 0.300 in the correlation matrix • Kaiser - Meyer - Olkin Measure of Sampling Adequacy (MSA) > 0.700 • Bartlett’s...exploratory factor analysis. The Kaiser - Meyer - Olkin measure of sampling adequacy yielded a value of .790, and Bartlett’s test of sphericity yielded a

Pyteomics--a Python framework for exploratory data analysis and rapid software prototyping in proteomics.

PubMed

Goloborodko, Anton A; Levitsky, Lev I; Ivanov, Mark V; Gorshkov, Mikhail V

2013-02-01

Pyteomics is a cross-platform, open-source Python library providing a rich set of tools for MS-based proteomics. It provides modules for reading LC-MS/MS data, search engine output, protein sequence databases, theoretical prediction of retention times, electrochemical properties of polypeptides, mass and m/z calculations, and sequence parsing. Pyteomics is available under Apache license; release versions are available at the Python Package Index http://pypi.python.org/pyteomics, the source code repository at http://hg.theorchromo.ru/pyteomics, documentation at http://packages.python.org/pyteomics. Pyteomics.biolccc documentation is available at http://packages.python.org/pyteomics.biolccc/. Questions on installation and usage can be addressed to pyteomics mailing list: pyteomics@googlegroups.com.

Space-time airborne disease mapping applied to detect specific behaviour of varicella in Valencia, Spain.

PubMed

Iftimi, Adina; Montes, Francisco; Santiyán, Ana Míguez; Martínez-Ruiz, Francisco

2015-01-01

Airborne diseases are one of humanity's most feared sicknesses and have regularly caused concern among specialists. Varicella is an airborne disease which usually affects children before the age of 10. Because of its nature, varicella gives rise to interesting spatial, temporal and spatio-temporal patterns. This paper studies spatio-temporal exploratory analysis tools to detect specific behaviour of varicella in the city of Valencia, Spain, from 2008 to 2013. These methods have shown a significant association between the spatial and the temporal component, confirmed by the space-time models applied to the data. High relative risk of varicella is observed in economically disadvantaged regions, areas less involved in vaccination programmes. Copyright © 2015 Elsevier Ltd. All rights reserved.

DOE Office of Scientific and Technical Information (OSTI.GOV)

Racah, Evan; Ko, Seyoon; Sadowski, Peter

Experiments in particle physics produce enormous quantities of data that must be analyzed and interpreted by teams of physicists. This analysis is often exploratory, where scientists are unable to enumerate the possible types of signal prior to performing the experiment. Thus, tools for summarizing, clustering, visualizing and classifying high-dimensional data are essential. Here in this work, we show that meaningful physical content can be revealed by transforming the raw data into a learned high-level representation using deep neural networks, with measurements taken at the Daya Bay Neutrino Experiment as a case study. We further show how convolutional deep neural networksmore » can provide an effective classification filter with greater than 97% accuracy across different classes of physics events, significantly better than other machine learning approaches.« less

Development of the Social Capital Questionnaire in Greece.

PubMed

Kritsotakis, George; Koutis, Antonis D; Alegakis, Athanassios K; Philalithis, Anastas E

2008-06-01

The Greek version of the social capital questionnaire (SCQ-G) was evaluated in a sample of 521 adults drawn from three different urban areas in Greece. Exploratory factor analysis followed by multi-trait scaling yielded six factors: Participation in the Community, Feelings of Safety, Family/Friends Connections, Value of Life and Social Agency, Tolerance of Diversity, and Work Connections. The factor solution is similar to the patterns identified originally in Australia and the US. Variations suggest that social capital does not share the same structure in different countries. The SCQ-G is a useful scale to measure individual-level social capital in Greece. Social capital measurement tools should be validated in each cultural or national setting in which they are used.

[Psychometric evaluation of the Coach Orientation Questionnaire with a Spanish sample of handball coaches].

PubMed

Feu, Sebastián; Ibáñez, Sergio José; Graça, Amândio; Sampaio, Jaime

2007-11-01

The purpose of this study was to develop a questionnaire to investigate volleyball coaches' orientations toward the coaching process. The study was preceded by four developmental stages in order to improve user understanding, validate the content, and refine the psychometric properties of the instrument. Participants for the reliability and validity study were 334 Spanish volleyball team coaches, 86.5% men and 13.2% women. The following 6 factors emerged from the exploratory factor analysis: team-work orientation, technological orientation, innovative orientation, dialogue orientation, directive orientation, and social climate orientation. Statistical results indicated that the instrument produced reliable and valid scores in all the obtained factors (a> .70), showing that this questionnaire is a useful tool to examine coaches' orientations towards coaching.

Technology-dependent children and the demand for pharmaceutical care.

PubMed

Okido, Aline Cristiane Cavicchioli; Cunha, Suelen Teles da; Neves, Eliane Tatsch; Dupas, Giselle; Lima, Regina Aparecida Garcia de

2016-01-01

to understand the experience of mothers of technology-dependent children as regards pharmaceutical care. this was a qualitative, descriptive-exploratory study developed based on open interviews using a structured characterization tool, and applied during home visits to 12 mothers caring for technology-dependent children. The data was submitted to inductive content analysis. this study is split into two themes: (i) maternal overload during pharmaceutical care, demonstrating the need to administer drugs continuously and the repercussions of this exhaustive care on the caregivers; (ii) the ease or difficulty of access to the medicines required, showing informal strategies and support networks. pharmaceutical care is a daily challenge expressed in maternal overload and difficulty accessing the drugs, made worse by failures in the care network and coordinated care.

Brazilian spatial dynamics in the long term (1872-2000): ``path dependency'' or ``reversal of fortune''?

NASA Astrophysics Data System (ADS)

Monasterio, Leonardo Monteiro

2010-03-01

This paper analyzes the spatial dynamics of Brazilian regional inequalities between 1872 and 2000 using contemporary tools. The first part of the paper provides new estimates of income per capita in 1872 by municipality using census and electoral information on income by occupation. The level of analysis is the Minimum Comparable Areas 1872-2000 developed by Reis et al. (Áreas mínimas comparáveis para os períodos intercensitários de 1872 a 2000, 2007). These areas are the least aggregation of adjacent municipalities required to allow consistent geographic area comparisons between census years. In the second section of the paper, Exploratory Spatial Data Analysis, Markov chains and stochastic kernel techniques (spatially conditioned) are applied to the dataset. The results suggest that, in broad terms, the spatial pattern of income distribution in Brazil during that period of time has remained stable.

Quality of Work: Validation of a New Instrument in Three Languages

PubMed Central

Steffgen, Georges; Kohl, Diane; Reese, Gerhard; Happ, Christian; Sischka, Philipp

2015-01-01

Introduction and objective: A new instrument to measure quality of work was developed in three languages (German, French and Luxembourgish) and validated in a study of employees working in Luxembourg. Methods and results: A representative sample (n = 1529) was taken and exploratory factor analysis revealed a six-factor solution for the 21-item instrument (satisfaction and respect, mobbing, mental strain at work, cooperation, communication and feedback, and appraisal). Reliability analysis showed satisfying reliability for all six factors and the total questionnaire. In order to examine the construct validity of the new instrument, regression analyses were conducted to test whether the instrument predicted work characteristics’ influence on three components of well-being—burnout, psychological stress and maladaptive coping behaviors. Conclusion: The present validation offers a trilingual inventory for measuring quality of work that may be used, for example, as an assessment tool or for testing the effectiveness of interventions. PMID:26703634

Quality of Work: Validation of a New Instrument in Three Languages.

PubMed

Steffgen, Georges; Kohl, Diane; Reese, Gerhard; Happ, Christian; Sischka, Philipp

2015-11-26

A new instrument to measure quality of work was developed in three languages (German, French and Luxembourgish) and validated in a study of employees working in Luxembourg. A representative sample (n = 1529) was taken and exploratory factor analysis revealed a six-factor solution for the 21-item instrument (satisfaction and respect, mobbing, mental strain at work, cooperation, communication and feedback, and appraisal). Reliability analysis showed satisfying reliability for all six factors and the total questionnaire. In order to examine the construct validity of the new instrument, regression analyses were conducted to test whether the instrument predicted work characteristics’ influence on three components of well-being -- burnout, psychological stress and maladaptive coping behaviors. The present validation offers a trilingual inventory for measuring quality of work that may be used, for example, as an assessment tool or for testing the effectiveness of interventions.

GPU Accelerated Browser for Neuroimaging Genomics.

PubMed

Zigon, Bob; Li, Huang; Yao, Xiaohui; Fang, Shiaofen; Hasan, Mohammad Al; Yan, Jingwen; Moore, Jason H; Saykin, Andrew J; Shen, Li

2018-04-25

Neuroimaging genomics is an emerging field that provides exciting opportunities to understand the genetic basis of brain structure and function. The unprecedented scale and complexity of the imaging and genomics data, however, have presented critical computational bottlenecks. In this work we present our initial efforts towards building an interactive visual exploratory system for mining big data in neuroimaging genomics. A GPU accelerated browsing tool for neuroimaging genomics is created that implements the ANOVA algorithm for single nucleotide polymorphism (SNP) based analysis and the VEGAS algorithm for gene-based analysis, and executes them at interactive rates. The ANOVA algorithm is 110 times faster than the 4-core OpenMP version, while the VEGAS algorithm is 375 times faster than its 4-core OpenMP counter part. This approach lays a solid foundation for researchers to address the challenges of mining large-scale imaging genomics datasets via interactive visual exploration.

Cross-validating a bidimensional mathematics anxiety scale.

PubMed

Haiyan Bai

2011-03-01

The psychometric properties of a 14-item bidimensional Mathematics Anxiety Scale-Revised (MAS-R) were empirically cross-validated with two independent samples consisting of 647 secondary school students. An exploratory factor analysis on the scale yielded strong construct validity with a clear two-factor structure. The results from a confirmatory factor analysis indicated an excellent model-fit (χ(2) = 98.32, df = 62; normed fit index = .92, comparative fit index = .97; root mean square error of approximation = .04). The internal consistency (.85), test-retest reliability (.71), interfactor correlation (.26, p < .001), and positive discrimination power indicated that MAS-R is a psychometrically reliable and valid instrument for measuring mathematics anxiety. Math anxiety, as measured by MAS-R, correlated negatively with student achievement scores (r = -.38), suggesting that MAS-R may be a useful tool for classroom teachers and other educational personnel tasked with identifying students at risk of reduced math achievement because of anxiety.

Measuring the concept of impact of childhood disability on parents: validation of a multidimensional measurement in a cerebral palsy population.

PubMed

Guyard, Audrey; Michelsen, Susan I; Arnaud, Catherine; Lyons, Alan; Cans, Christine; Fauconnier, Jérôme

2012-01-01

Living with a child with a disability can affect family life in various domains. Impacts on time, expenses, work, relationships within the family, social relationships and physical and psychological health can be observed. The Family Impact of Childhood Disability (FICD) is a specific instrument designed to assess this situation. Used in a cross-sectional survey, this questionnaire was extended to consider two missing aspects: impact on work and health (FICD+4). This paper addresses the psychometric qualities of the FICD in Europe among parents living with an adolescent with cerebral palsy. Expecting the FICD+4 could assess detailed impact dimensions, an exploratory analysis was conducted. We interviewed 242 families of 13- to 17-year-old adolescents with cerebral palsy living in Europe. Good psychometric properties were found in negative and positive FICD scales and in six underlying factors extracted from exploratory factor analysis on FICD+4. These results support the psychometric validity of the FICD in the assessment of the impact of disability in European families who live with an adolescent with cerebral palsy. They also highlight the multifaceted aspects of the impact of childhood disability on the family and suggest that the FICD+4 is a good tool for assessing specific negative impacts on time, finances, work, social relationships and positive impacts on parental feeling and family attitude. This scale needs further validation and could be helpful for research and clinical interventions. Copyright © 2012 Elsevier Ltd. All rights reserved.

Of responsible research-Exploring the science-society dialogue in undergraduate training within the life sciences.

PubMed

Almeida, Maria Strecht; Quintanilha, Alexandre

2017-01-02

We explore the integration of societal issues in undergraduate training within the life sciences. Skills in thinking about science, scientific knowledge production and the place of science in society are crucial in the context of the idea of responsible research and innovation. This idea became institutionalized and it is currently well-present in the scientific agenda. Developing abilities in this regard seems particularly relevant to training in the life sciences, as new developments in this area somehow evoke the involvement of all of us citizens, our engagement to debate and take part in processes of change. The present analysis draws from the implementation of a curricular unit focused on science-society dialogue, an optional course included in the Biochemistry Degree study plan offered at the University of Porto. This curricular unit was designed to be mostly an exploratory activity for the students, enabling them to undertake in-depth study in areas/topics of their specific interest. Mapping topics from students' final papers provided a means of analysis and became a useful tool in the exploratory collaborative construction of the course. We discuss both the relevance and the opportunity of thinking and questioning the science-society dialogue. As part of undergraduate training, this pedagogical practice was deemed successful. © 2016 by The International Union of Biochemistry and Molecular Biology, 45(1):46-52, 2017. © 2016 The International Union of Biochemistry and Molecular Biology.

Transition Icons for Time-Series Visualization and Exploratory Analysis.

PubMed

Nickerson, Paul V; Baharloo, Raheleh; Wanigatunga, Amal A; Manini, Todd M; Tighe, Patrick J; Rashidi, Parisa

2018-03-01

The modern healthcare landscape has seen the rapid emergence of techniques and devices that temporally monitor and record physiological signals. The prevalence of time-series data within the healthcare field necessitates the development of methods that can analyze the data in order to draw meaningful conclusions. Time-series behavior is notoriously difficult to intuitively understand due to its intrinsic high-dimensionality, which is compounded in the case of analyzing groups of time series collected from different patients. Our framework, which we call transition icons, renders common patterns in a visual format useful for understanding the shared behavior within groups of time series. Transition icons are adept at detecting and displaying subtle differences and similarities, e.g., between measurements taken from patients receiving different treatment strategies or stratified by demographics. We introduce various methods that collectively allow for exploratory analysis of groups of time series, while being free of distribution assumptions and including simple heuristics for parameter determination. Our technique extracts discrete transition patterns from symbolic aggregate approXimation representations, and compiles transition frequencies into a bag of patterns constructed for each group. These transition frequencies are normalized and aligned in icon form to intuitively display the underlying patterns. We demonstrate the transition icon technique for two time-series datasets-postoperative pain scores, and hip-worn accelerometer activity counts. We believe transition icons can be an important tool for researchers approaching time-series data, as they give rich and intuitive information about collective time-series behaviors.

Integrative Exploratory Analysis of Two or More Genomic Datasets.

PubMed

Meng, Chen; Culhane, Aedin

2016-01-01

Exploratory analysis is an essential step in the analysis of high throughput data. Multivariate approaches such as correspondence analysis (CA), principal component analysis, and multidimensional scaling are widely used in the exploratory analysis of single dataset. Modern biological studies often assay multiple types of biological molecules (e.g., mRNA, protein, phosphoproteins) on a same set of biological samples, thereby creating multiple different types of omics data or multiassay data. Integrative exploratory analysis of these multiple omics data is required to leverage the potential of multiple omics studies. In this chapter, we describe the application of co-inertia analysis (CIA; for analyzing two datasets) and multiple co-inertia analysis (MCIA; for three or more datasets) to address this problem. These methods are powerful yet simple multivariate approaches that represent samples using a lower number of variables, allowing a more easily identification of the correlated structure in and between multiple high dimensional datasets. Graphical representations can be employed to this purpose. In addition, the methods simultaneously project samples and variables (genes, proteins) onto the same lower dimensional space, so the most variant variables from each dataset can be selected and associated with samples, which can be further used to facilitate biological interpretation and pathway analysis. We applied CIA to explore the concordance between mRNA and protein expression in a panel of 60 tumor cell lines from the National Cancer Institute. In the same 60 cell lines, we used MCIA to perform a cross-platform comparison of mRNA gene expression profiles obtained on four different microarray platforms. Last, as an example of integrative analysis of multiassay or multi-omics data we analyzed transcriptomic, proteomic, and phosphoproteomic data from pluripotent (iPS) and embryonic stem (ES) cell lines.

Empirical study using network of semantically related associations in bridging the knowledge gap.

PubMed

Abedi, Vida; Yeasin, Mohammed; Zand, Ramin

2014-11-27

The data overload has created a new set of challenges in finding meaningful and relevant information with minimal cognitive effort. However designing robust and scalable knowledge discovery systems remains a challenge. Recent innovations in the (biological) literature mining tools have opened new avenues to understand the confluence of various diseases, genes, risk factors as well as biological processes in bridging the gaps between the massive amounts of scientific data and harvesting useful knowledge. In this paper, we highlight some of the findings using a text analytics tool, called ARIANA--Adaptive Robust and Integrative Analysis for finding Novel Associations. Empirical study using ARIANA reveals knowledge discovery instances that illustrate the efficacy of such tool. For example, ARIANA can capture the connection between the drug hexamethonium and pulmonary inflammation and fibrosis that caused the tragic death of a healthy volunteer in a 2001 John Hopkins asthma study, even though the abstract of the study was not part of the semantic model. An integrated system, such as ARIANA, could assist the human expert in exploratory literature search by bringing forward hidden associations, promoting data reuse and knowledge discovery as well as stimulating interdisciplinary projects by connecting information across the disciplines.

Development and psychometric testing of the Clinical Learning Organisational Culture Survey (CLOCS).

PubMed

Henderson, Amanda; Creedy, Debra; Boorman, Rhonda; Cooke, Marie; Walker, Rachel

2010-10-01

This paper describes the development and psychometric testing of the Clinical Learning Organisational Culture Survey (CLOCS) that measures prevailing beliefs and assumptions important for learning to occur in the workplace. Items from a tool that measured motivation in workplace learning were adapted to the nursing practice context. The tool was tested in the clinical setting, and then further modified to enhance face and content validity. Registered nurses (329) across three major Australian health facilities were surveyed between June 2007 and September 2007. An exploratory factor analysis identified five concepts--recognition, dissatisfaction, affiliation, accomplishment, and influence. VALIDITY AND RELIABILITY: Internal consistency measures of reliability revealed that four concepts had good internal consistency: recognition (alpha=.914), dissatisfaction (alpha=.771), affiliation (alpha=.801), accomplishment (alpha=.664), but less so for influence (alpha=.529). This tool effectively measures recognition, affiliation and accomplishment--three concepts important for learning in practice situations, as well as dissatisfied staff across all these domains. Testing of additional influence items identify that this concept is difficult to delineate. The CLOCS can effectively inform leaders about concepts inherent in the culture important for maximising learning by staff. Crown Copyright © 2009. Published by Elsevier Ltd. All rights reserved.

Exploring the MACH Model’s Potential as a Metacognitive Tool to Help Undergraduate Students Monitor Their Explanations of Biological Mechanisms

PubMed Central

Trujillo, Caleb M.; Anderson, Trevor R.; Pelaez, Nancy J.

2016-01-01

When undergraduate biology students learn to explain biological mechanisms, they face many challenges and may overestimate their understanding of living systems. Previously, we developed the MACH model of four components used by expert biologists to explain mechanisms: Methods, Analogies, Context, and How. This study explores the implementation of the model in an undergraduate biology classroom as an educational tool to address some of the known challenges. To find out how well students’ written explanations represent components of the MACH model before and after they were taught about it and why students think the MACH model was useful, we conducted an exploratory multiple case study with four interview participants. We characterize how two students explained biological mechanisms before and after a teaching intervention that used the MACH components. Inductive analysis of written explanations and interviews showed that MACH acted as an effective metacognitive tool for all four students by helping them to monitor their understanding, communicate explanations, and identify explanatory gaps. Further research, though, is needed to more fully substantiate the general usefulness of MACH for promoting students’ metacognition about their understanding of biological mechanisms. PMID:27252295

An Exploratory Study of Student Motivations for Taking Online Courses and Learning Outcomes

ERIC Educational Resources Information Center

Nonis, Sarath A.; Fenner, Grant H.

2012-01-01

An investigation of students taking online classes exposed crucial student perceptions important to their selecting online/web-assisted courses. An exploratory factor analysis provided three factors of "convenience," "enjoyment & independence," and "no other option available" as motivations for students taking…

Investigation of the factor structure of the Wechsler Adult Intelligence Scale--Fourth Edition (WAIS-IV): exploratory and higher order factor analyses.

PubMed

Canivez, Gary L; Watkins, Marley W

2010-12-01

The present study examined the factor structure of the Wechsler Adult Intelligence Scale--Fourth Edition (WAIS-IV; D. Wechsler, 2008a) standardization sample using exploratory factor analysis, multiple factor extraction criteria, and higher order exploratory factor analysis (J. Schmid & J. M. Leiman, 1957) not included in the WAIS-IV Technical and Interpretation Manual (D. Wechsler, 2008b). Results indicated that the WAIS-IV subtests were properly associated with the theoretically proposed first-order factors, but all but one factor-extraction criterion recommended extraction of one or two factors. Hierarchical exploratory analyses with the Schmid and Leiman procedure found that the second-order g factor accounted for large portions of total and common variance, whereas the four first-order factors accounted for small portions of total and common variance. It was concluded that the WAIS-IV provides strong measurement of general intelligence, and clinical interpretation should be primarily at that level.

Validation of the National Aeronautics and Space Administration Task Load Index as a tool to evaluate-the learning curve for endoscopy training

PubMed Central

Mohamed, Rachid; Raman, Maitreyi; Anderson, John; McLaughlin, Kevin; Rostom, Alaa; Coderre, Sylvain

2014-01-01

BACKGROUND: Although workplace workload assessments exist in different fields, an endoscopy-specific workload assessment tool is lacking. OBJECTIVE: To validate such a workload tool and use it to map the progression of novice trainees in gastroenterology in performing their first endoscopies. METHODS: The National Aeronautics and Space Administration Task Load Index (NASA-TLX) workload assessment tool was completed by eight novice trainees in gastroenterology and 10 practicing gastroenterologists/surgeons. An exploratory factor analysis was performed to construct a streamlined endoscopy-specific task load index, which was subsequently validated. The ‘Endoscopy Task Load Index’ was used to monitor progression of trainee exertion and self-assessed performance over their first 40 procedures. RESULTS: From the factor analysis of the NASA-TLX, two principal components emerged: a measure of exertion and a measure of self-efficacy. These items became the components of the newly validated Endoscopy Task Load Index. There was a steady decline in self-perceived exertion over the training period, which was more rapid for gastroscopy than colonoscopy. The self-efficacy scores for gastroscopy rapidly increased over the first few procedures, reaching a plateau after this period of time. For colonoscopy, there was a progressive increase in reported self-efficacy over the first three quartiles of procedures, followed by a drop in self-efficacy scores over the final quartile. DISCUSSION: The present study validated an Endoscopy Task Load Index that can be completed in <1 min. Practical implications of such a tool in endoscopy education include identifying periods of higher perceived exertion among novice endoscopists, facilitating appropriate levels of guidance from trainers. PMID:24619638

Exploratory Bi-factor Analysis: The Oblique Case.

PubMed

Jennrich, Robert I; Bentler, Peter M

2012-07-01

Bi-factor analysis is a form of confirmatory factor analysis originally introduced by Holzinger and Swineford (Psychometrika 47:41-54, 1937). The bi-factor model has a general factor, a number of group factors, and an explicit bi-factor structure. Jennrich and Bentler (Psychometrika 76:537-549, 2011) introduced an exploratory form of bi-factor analysis that does not require one to provide an explicit bi-factor structure a priori. They use exploratory factor analysis and a bifactor rotation criterion designed to produce a rotated loading matrix that has an approximate bi-factor structure. Among other things this can be used as an aid in finding an explicit bi-factor structure for use in a confirmatory bi-factor analysis. They considered only orthogonal rotation. The purpose of this paper is to consider oblique rotation and to compare it to orthogonal rotation. Because there are many more oblique rotations of an initial loading matrix than orthogonal rotations, one expects the oblique results to approximate a bi-factor structure better than orthogonal rotations and this is indeed the case. A surprising result arises when oblique bi-factor rotation methods are applied to ideal data.

Bridging Theory with Practice: An Exploratory Study of Visualization Use and Design for Climate Model Comparison

DOE PAGES

Dasgupta, Aritra; Poco, Jorge; Wei, Yaxing; ...

2015-03-16

Evaluation methodologies in visualization have mostly focused on how well the tools and techniques cater to the analytical needs of the user. While this is important in determining the effectiveness of the tools and advancing the state-of-the-art in visualization research, a key area that has mostly been overlooked is how well established visualization theories and principles are instantiated in practice. This is especially relevant when domain experts, and not visualization researchers, design visualizations for analysis of their data or for broader dissemination of scientific knowledge. There is very little research on exploring the synergistic capabilities of cross-domain collaboration between domainmore » experts and visualization researchers. To fill this gap, in this paper we describe the results of an exploratory study of climate data visualizations conducted in tight collaboration with a pool of climate scientists. The study analyzes a large set of static climate data visualizations for identifying their shortcomings in terms of visualization design. The outcome of the study is a classification scheme that categorizes the design problems in the form of a descriptive taxonomy. The taxonomy is a first attempt for systematically categorizing the types, causes, and consequences of design problems in visualizations created by domain experts. We demonstrate the use of the taxonomy for a number of purposes, such as, improving the existing climate data visualizations, reflecting on the impact of the problems for enabling domain experts in designing better visualizations, and also learning about the gaps and opportunities for future visualization research. We demonstrate the applicability of our taxonomy through a number of examples and discuss the lessons learnt and implications of our findings.« less

Bridging Theory with Practice: An Exploratory Study of Visualization Use and Design for Climate Model Comparison

DOE Office of Scientific and Technical Information (OSTI.GOV)

Dasgupta, Aritra; Poco, Jorge; Wei, Yaxing

Evaluation methodologies in visualization have mostly focused on how well the tools and techniques cater to the analytical needs of the user. While this is important in determining the effectiveness of the tools and advancing the state-of-the-art in visualization research, a key area that has mostly been overlooked is how well established visualization theories and principles are instantiated in practice. This is especially relevant when domain experts, and not visualization researchers, design visualizations for analysis of their data or for broader dissemination of scientific knowledge. There is very little research on exploring the synergistic capabilities of cross-domain collaboration between domainmore » experts and visualization researchers. To fill this gap, in this paper we describe the results of an exploratory study of climate data visualizations conducted in tight collaboration with a pool of climate scientists. The study analyzes a large set of static climate data visualizations for identifying their shortcomings in terms of visualization design. The outcome of the study is a classification scheme that categorizes the design problems in the form of a descriptive taxonomy. The taxonomy is a first attempt for systematically categorizing the types, causes, and consequences of design problems in visualizations created by domain experts. We demonstrate the use of the taxonomy for a number of purposes, such as, improving the existing climate data visualizations, reflecting on the impact of the problems for enabling domain experts in designing better visualizations, and also learning about the gaps and opportunities for future visualization research. We demonstrate the applicability of our taxonomy through a number of examples and discuss the lessons learnt and implications of our findings.« less

Gobe: an interactive, web-based tool for comparative genomic visualization.

PubMed

Pedersen, Brent S; Tang, Haibao; Freeling, Michael

2011-04-01

Gobe is a web-based tool for viewing comparative genomic data. It supports viewing multiple genomic regions simultaneously. Its simple text format and flash-based rendering make it an interactive, exploratory research tool. Gobe can be used without installation through our web service, or downloaded and customized with stylesheets and javascript callback functions. Gobe is a flash application that runs in all modern web-browsers. The full source-code, including that for the online web application is available under the MIT license at: http://github.com/brentp/gobe. Sample applications are hosted at http://try-gobe.appspot.com/ and http://synteny.cnr.berkeley.edu/gobe-app/.

[Development of a New Scale for Gauging Smartphone Dependence].

PubMed

Toda, Masahiro; Nishio, Nobuhiro; Takeshita, Tatsuya

2015-01-01

We designed a scale to gauge smartphone dependence and assessed its reliability and validity. A prototype self-rating smartphone-dependence scale was tested on 133 medical students who use smartphones more frequently than other devices to access web pages. Each response was scored on a Likert scale (0, 1, 2, 3), with higher scores indicating greater dependence. To select items for the final scale, exploratory factor analysis was conducted. On the basis of factor analysis results, we designed the Wakayama Smartphone-Dependence Scale (WSDS) comprising 21 items with 3 subscales: immersion in Internet communication; using a smartphone for extended periods of time and neglecting social obligations and other tasks; using a smartphone while doing something else and neglect of etiquette. Our analysis confirmed the validity of the different elements of the WSDS: the reliability coefficient (Cronbach's alpha) values of all subscales and total WSDS were from 0.79 to 0.83 and 0.88, respectively. These findings suggest that the WSDS is a useful tool for rating smartphone dependence.

An Exploratory Study of Socialization Effects on Black Children: Some Black-White Comparisons

ERIC Educational Resources Information Center

Baumrind, Diana

1972-01-01

Major conclusion from this exploratory analysis was that if the black families were viewed by white norms they appeared authoritarian, but that, unlike their white counterparts, the most authoritarian of these families produced the most self-assertive and independent girls. (Author)

Issues Related to the Frequency of Exploratory Analyses by Evidence Review Groups in the NICE Single Technology Appraisal Process.

PubMed

Kaltenthaler, Eva; Carroll, Christopher; Hill-McManus, Daniel; Scope, Alison; Holmes, Michael; Rice, Stephen; Rose, Micah; Tappenden, Paul; Woolacott, Nerys

2017-06-01

Evidence Review Groups (ERGs) critically appraise company submissions as part of the National Institute for Health and Care Excellence (NICE) Single Technology Appraisal (STA) process. As part of their critique of the evidence submitted by companies, the ERGs undertake exploratory analyses to explore uncertainties in the company's model. The aim of this study was to explore pre-defined factors that might influence or predict the extent of ERG exploratory analyses. The aim of this study was to explore predefined factors that might influence or predict the extent of ERG exploratory analyses. We undertook content analysis of over 400 documents, including ERG reports and related documentation for the 100 most recent STAs (2009-2014) for which guidance has been published. Relevant data were extracted from the documents and narrative synthesis was used to summarise the extracted data. All data were extracted and checked by two researchers. Forty different companies submitted documents as part of the NICE STA process. The most common disease area covered by the STAs was cancer (44%), and most ERG reports (n = 93) contained at least one exploratory analysis. The incidence and frequency of ERG exploratory analyses does not appear to be related to any developments in the appraisal process, the disease area covered by the STA, or the company's base-case incremental cost-effectiveness ratio (ICER). However, there does appear to be a pattern in the mean number of analyses conducted by particular ERGs, but the reasons for this are unclear and potentially complex. No clear patterns were identified regarding the presence or frequency of exploratory analyses, apart from the mean number conducted by individual ERGs. More research is needed to understand this relationship.

Cultural competency assessment tool for hospitals: Evaluating hospitals’ adherence to the culturally and linguistically appropriate services standards

PubMed Central

Weech-Maldonado, Robert; Dreachslin, Janice L.; Brown, Julie; Pradhan, Rohit; Rubin, Kelly L.; Schiller, Cameron; Hays, Ron D.

2016-01-01

Background The U.S. national standards for culturally and linguistically appropriate services (CLAS) in health care provide guidelines on policies and practices aimed at developing culturally competent systems of care. The Cultural Competency Assessment Tool for Hospitals (CCATH) was developed as an organizational tool to assess adherence to the CLAS standards. Purposes First, we describe the development of the CCATH and estimate the reliability and validity of the CCATH measures. Second, we discuss the managerial implications of the CCATH as an organizational tool to assess cultural competency. Methodology/Approach We pilot tested an initial draft of the CCATH, revised it based on a focus group and cognitive interviews, and then administered it in a field test with a sample of California hospitals. The reliability and validity of the CCATH were evaluated using factor analysis, analysis of variance, and Cronbach’s alphas. Findings Exploratory and confirmatory factor analyses identified 12 CCATH composites: leadership and strategic planning, data collection on inpatient population, data collection on service area, performance management systems and quality improvement, human resources practices, diversity training, community representation, availability of interpreter services, interpreter services policies, quality of interpreter services, translation of written materials, and clinical cultural competency practices. All the CCATH scales had internal consistency reliability of .65 or above, and the reliability was .70 or above for 9 of the 12 scales. Analysis of variance results showed that not-for-profit hospitals have higher CCATH scores than for-profit hospitals in five CCATH scales and higher CCATH scores than government hospitals in two CCATH scales. Practice Implications The CCATH showed adequate psychometric properties. Managers and policy makers can use the CCATH as a tool to evaluate hospital performance in cultural competency and identify and target improvements in hospital policies and practices that undergird the provision of CLAS. PMID:21934511

Evaluating Text Complexity and Flesch-Kincaid Grade Level

ERIC Educational Resources Information Center

Solnyshkina, Marina I.; Zamaletdinov, Radif R.; Gorodetskaya, Ludmila A.; Gabitov, Azat I.

2017-01-01

The article presents the results of an exploratory study of the use of T.E.R.A., an automated tool measuring text complexity and readability based on the assessment of five text complexity parameters: narrativity, syntactic simplicity, word concreteness, referential cohesion and deep cohesion. Aimed at finding ways to utilize T.E.R.A. for…

Engaging Students in Higher Education through Mobile Learning: Lessons Learnt in a Chinese Entrepreneurship Course

ERIC Educational Resources Information Center

Menkhoff, Thomas; Bengtsson, Magnus Lars

2012-01-01

This evaluative-exploratory case study reports pedagogical experiences with using mobiles phones, wikis, and other mobile learning approaches such as podcasts and walking tours as educational tools in the context of an undergraduate course on Chinese Entrepreneurship and Asian Business Networks taught at a university in Singapore. Conceptualized…

Willingness of Nurses to Learn with the Use of Technology: An Exploratory Mixed-Methods Investigation

ERIC Educational Resources Information Center

Pilcher, Jobeth

2010-01-01

An increasing number of technologically enhanced tools are becoming available to meet the ongoing professional development needs of nurses. Only a few studies have addressed nurses' willingness to learn with technology, resulting in the problem of inadequate evidence to guide best practices for technology incorporation into nursing professional…

Chief Diversity Officers' Perceptions of Institutionally Sustainable Diversity Programs

ERIC Educational Resources Information Center

Wang, Rong

2017-01-01

This exploratory and descriptive study investigated the degree to which a NACUBO Economic Models Project framework is perceived by Chief Diversity Officers (CDOs) as being a relevant tool for sustaining diversity core values in institutional diversity program operations. In response to the rapidly changing demographics of the United States and the…

The promise of youth service as a global conservation tool

Treesearch

Emily R. Sloane

2011-01-01

Youth conservation corps (YCCs) and related programs are established and valued in the United States, but little is known about similar programs overseas. This paper presents results from an exploratory survey of YCCs in 10 developing/emerging countries, with particular focus on their activities, challenges, and successes. The study countries exhibit several socio-...

Learning Mathematics by Designing, Programming, and Investigating with Interactive, Dynamic Computer-Based Objects

ERIC Educational Resources Information Center

Marshall, Neil; Buteau, Chantal

2014-01-01

As part of their undergraduate mathematics curriculum, students at Brock University learn to create and use computer-based tools with dynamic, visual interfaces, called Exploratory Objects, developed for the purpose of conducting pure or applied mathematical investigations. A student's Development Process Model of creating and using an Exploratory…

Exploring the Dynamics of Dyadic Interactions via Hierarchical Segmentation

ERIC Educational Resources Information Center

Hsieh, Fushing; Ferrer, Emilio; Chen, Shu-Chun; Chow, Sy-Miin

2010-01-01

In this article we present an exploratory tool for extracting systematic patterns from multivariate data. The technique, hierarchical segmentation (HS), can be used to group multivariate time series into segments with similar discrete-state recurrence patterns and it is not restricted by the stationarity assumption. We use a simulation study to…

E-Learning Revolutionise Education: An Exploratory Study

ERIC Educational Resources Information Center

Gul, Showkeen Bilal Ahmad

2015-01-01

The focus of the paper is to explore how e-learning revolutionises education. Education is one domain that has accompanied civilization throughout the centuries, adapting its tools to fulfill the expectations of students and the needs of teachers. One of the basic requirements for education in the 21st century is to prepare populations for…

Tweeting and Blogging: Moving towards Education 2.0

ERIC Educational Resources Information Center

Luo, Tian; Franklin, Teresa

2015-01-01

This paper reports on an exploratory study that employed Twitter and blogs as instructional Web 2.0 tools to support student learning in an undergraduate-level class. Case study methodology entailing a usage survey, an exit survey, and 12 in-depth semi-structured interviews was sought to examine patterns and characteristics of students' usage of…

Computational Modelling and Children's Expressions of Signal and Noise

ERIC Educational Resources Information Center

Ainley, Janet; Pratt, Dave

2017-01-01

Previous research has demonstrated how young children can identify the signal in data. In this exploratory study we considered how they might also express meanings for noise when creating computational models using recent developments in software tools. We conducted extended clinical interviews with four groups of 11-year-olds and analysed the…

Using Popular Movies in Teaching Cross-Cultural Management

ERIC Educational Resources Information Center

Pandey, Satish

2012-01-01

Purpose: The present study aims to understand context and dynamics of cognitive learning of students as an outcome of the usage of popular movies as a learning tool in the management classroom and specifically in the context of a course on cross-cultural management issues. Design/methodology/approach: This is an exploratory study based on…

Special Education Related Services and Distance Education in the 21st Century Classroom

ERIC Educational Resources Information Center

Pantazis, Mary Ellen

2013-01-01

This exploratory study addresses special education related services and the requirements when a school-aged student with a disability attends school using synchronous distance education tools to access the least restrictive environment. The researcher examines these placements to explore the implications virtual schooling has on students receiving…

Cyberbullying in Turkish Middle Schools: An Exploratory Study

ERIC Educational Resources Information Center

Yilmaz, Harun

2011-01-01

This study explored Turkish students' experience of cyberbullying and their use of social networking tools. A total of 756 7th-grade students participated from eight different middle schools in Istanbul, the largest city of Turkey. A 15-item questionnaire was used in a classroom environment to collect data. Results revealed that male students were…

Social Media's Use in Postgraduate Students' Decision-Making Journey: An Exploratory Study

ERIC Educational Resources Information Center

Galan, Mianda; Lawley, Meredith; Clements, Michael

2015-01-01

Universities globally are showing increased interest in the potential of social media as a marketing recruitment tool. This paper explores how and why potential postgraduate business students looking to study internationally use social media in their educational decision-making process. Due to a lack of existing research, this study adopted an…

Using Video Effectively in Diverse Classes: What Students Want

ERIC Educational Resources Information Center

Fee, Anthony; Budde-Sung, Amanda E. K.

2014-01-01

This article presents the findings of an exploratory study into the perceptions of a culturally and linguistically diverse cohort of management students (n = 236) about the use of video as a teaching and learning tool. The results show that while students are generally favorable toward audiovisual materials, the choice of content, how the medium…

Social Tagging in a Scholarly Digital Library Environment: Users' Perspectives

ERIC Educational Resources Information Center

Noorhidawati, A.; Hanum, N. Fariza; Zohoorian-Fooladi, N.

2013-01-01

Introduction: This paper reports an exploratory study examining how users participate in social tagging activities in a scholarly digital library environment to learn about their motivations, behaviour, and practices. Method: This study was conducted in two phases: a survey to investigate usage and attitudes of social tagging tool, and a…

Research Article Introductions in English for Specific Purposes: A Comparison between Brazilian Portuguese and English

ERIC Educational Resources Information Center

Hirano, Eliana

2009-01-01

This paper compares the rhetorical organization of research article introductions in Brazilian Portuguese and in English within a subfield of Applied Linguistics. Using Swales' (1990) CARS model as an analytical tool, this exploratory study investigated 20 research articles. The findings indicate that introductions in Brazilian Portuguese tend to…

Revising and Updating the Agricultural Mechanics Components of the Connecticut Vocational Agriculture Curriculum.

ERIC Educational Resources Information Center

EASTCONN Regional Educational Services Center, North Windham, CT.

This curriculum guide contains 28 competency-based units of study for use in high school agricultural mechanics courses, especially in Connecticut. The 10 exploratory units, suitable for grades 9-10, cover the following topics: beginning welding; cold metal and soldering; electricity; plumbing; power tools; shop safety, mathematics, painting and…

A Strategic Governance Review for Multi-Organizational Systems of Education, Training, and Professional Development.

ERIC Educational Resources Information Center

Daley, Glenn A.; Levy, Dina G.; Kaganoff, Tessa; Augustine, Catherine A.; Benjamin, Roger; Bikson, Tora K.; Gates, Susan M.; Moini, Joy S.

A study was conducted to develop tools for describing and evaluating external governance in the U.S. Department of Defense's (DoD's) multiorganizational system of education, training, and professional development. An exploratory conceptual framework and taxonomy for understanding external governance in the DoD context was developed, and the…

Assessing the Developmental Instruction Model: An Exploratory Study of Classroom "Fit" Using Environmental Types

ERIC Educational Resources Information Center

Salter, Daniel W.

2013-01-01

To support the instructional process, Knefelkamp advanced the developmental instruction model (DIM) to describe the aspects of academic environments that facilitate the epistemological development of college students, consistent with the Perry scheme. No related measurement tool has been developed for the DIM, which may account for the lack of…

Guiding Reinvention of Conventional Tools of Mathematical Logic: Students' Reasoning about Mathematical Disjunctions

ERIC Educational Resources Information Center

Dawkins, Paul Christian; Cook, John Paul

2017-01-01

Motivated by the observation that formal logic answers questions students have not yet asked, we conducted exploratory teaching experiments with undergraduate students intended to guide their reinvention of truth-functional definitions for basic logical connectives. We intend to reframe the relationship between reasoning and logic by showing how…

Validity and reliability of Chinese version of Adult Carer Quality of Life questionnaire (AC-QoL) in family caregivers of stroke survivors

PubMed Central

Li, Yingshuang; Ding, Chunge

2017-01-01

The Adult Carer Quality of Life questionnaire (AC-QoL) is a reliable and valid instrument used to assess the quality of life (QoL) of adult family caregivers. We explored the psychometric properties and tested the reliability and validity of a Chinese version of the AC-QoL with reliability and validity testing in 409 Chinese stroke caregivers. We used item-total correlation and extreme group comparison to do item analysis. To evaluate its reliability, we used a test-retest reliability approach, intraclass correlation coefficient (ICC), together with Cronbach’s alpha and model-based internal consistency index; to evaluate its validity, we used scale content validity, confirmatory factor analysis (CFA) and exploratory factor analysis (EFA) via principal component analysis with varimax rotation. We found that the CFA did not in fact confirm the original factor model and our EFA yielded a 31-item measure with a five-factor model. In conclusions, although some items performed differently in our analysis of the original English language version and our Chinese language version, our translated AC-QoL is a reliable and valid tool which can be used to assess the quality of life of stroke caregivers in mainland China. Chinese version AC-QoL is a comprehensive and good measurement to understand caregivers and has the potential to be a screening tool to assess QoL of caregiver. PMID:29131845

Validation study of the Questionnaire on School Maladjustment Problems (QSMP).

PubMed

de la Fuente Arias, Jesús; Peralta Sánchez, Francisco Javier; Sánchez Roda, María Dolores; Trianes Torres, María Victoria

2012-05-01

The aim of this study was to analyze the exploratory and confirmatory structure, as well as other psychometric properties, of the Cuestionario de Problemas de Convivencia Escolar (CPCE; in Spanish, the Questionnaire on School Maladjustment Problems [QSMP]), using a sample of Spanish adolescents. The instrument was administered to 60 secondary education teachers (53.4% females and 46.6% males) between the ages of 28 and 54 years (M= 41.2, SD= 11.5), who evaluated a total of 857 adolescent students. The first-order exploratory factor analysis identified 7 factors, explaining a total variance of 62%. A second-order factor analysis yielded three dimensions that explain 84% of the variance. A confirmatory factor analysis was subsequently performed in order to reduce the number of factors obtained in the exploratory analysis as well as the number of items. Lastly, we present the results of reliability, internal consistency, and validity indices. These results and their implications for future research and for the practice of educational guidance and intervention are discussed in the conclusions.

The mesencephalic trigeminal sensory nucleus is involved in acquisition of active exploratory behavior induced by changing from a diet of exclusively milk formula to food pellets in mice.

PubMed

Ishii, Toshiaki; Furuoka, Hidefumi; Kitamura, Nobuo; Muroi, Yoshikage; Nishimura, Masakazu

2006-09-21

Post-weaning mice fed exclusively milk display low-frequency exploratory behavior [Ishii, T., Itou, T., and Nishimura, M. (2005) Life Sci. 78, 174-179] compared to mice fed a food pellet diet. This low-frequency exploratory behavior switched to high-frequency exploration after a switch from exclusively milk formula to a food pellet diet. Acquisition of the high-frequency exploratory behavior was irreversible. Recently, we demonstrated that the mesencephalic trigeminal nucleus (Me5) is involved in the control of feeding and exploratory behavior in mice without modulating the emotional state [Ishii, T., Furuoka, H., Itou, T., Kitamura, N., and Nishimura, M. (2005) Brain Res. 1048, 80-86]. We therefore investigated whether the Me5 is involved in acquisition of high-frequency exploratory behavior induced by the switch in diet from an exclusively milk formula to food pellets. Mouse feeding and exploratory behaviors were analyzed using a food search compulsion apparatus, which was designed to distinguish between the two behaviors under standard living conditions. Immunohistochemical analysis of immediate early genes indicated that the Me5, which receives signals from oral proprioceptors, is transiently activated after the diet change. The change from low-frequency to high-frequency exploratory behavior was prevented in milk-fed mice by bilateral lesion of the Me5. These results suggest that the Me5 is activated by signals associated with mastication-induced proprioception and contributes to the acquisition of active exploratory behavior.

Developing the Stroke Exercise Preference Inventory (SEPI)

PubMed Central

Bonner, Nicholas S.; O’Halloran, Paul D.; Bernhardt, Julie; Cumming, Toby B.

2016-01-01

Background Physical inactivity is highly prevalent after stroke, increasing the risk of poor health outcomes including recurrent stroke. Tailoring of exercise programs to individual preferences can improve adherence, but no tools exist for this purpose in stroke. Methods We identified potential questionnaire items for establishing exercise preferences via: (i) our preliminary Exercise Preference Questionnaire in stroke, (ii) similar tools used in other conditions, and (iii) expert panel consultations. The resulting 35-item questionnaire (SEPI-35) was administered to stroke survivors, along with measures of disability, depression, anxiety, fatigue and self-reported physical activity. Exploratory factor analysis was used to identify a factor structure in exercise preferences, providing a framework for item reduction. Associations between exercise preferences and personal characteristics were analysed using multivariable regression. Results A group of 134 community-dwelling stroke survivors (mean age 64.0, SD 13.3) participated. Analysis of the SEPI-35 identified 7 exercise preference factors (Supervision-support, Confidence-challenge, Health-wellbeing, Exercise context, Home-alone, Similar others, Music-TV). Item reduction processes yielded a 13-item version (SEPI-13); in analysis of this version, the original factor structure was maintained. Lower scores on Confidence-challenge were significantly associated with disability (p = 0.002), depression (p = 0.001) and fatigue (p = 0.001). Self-reported barriers to exercise were particularly prevalent in those experiencing fatigue and anxiety. Conclusions The SEPI-13 is a brief instrument that allows assessment of exercise preferences and barriers in the stroke population. This new tool can be employed by health professionals to inform the development of individually tailored exercise interventions. PMID:27711242

RNA-Seq workflow: gene-level exploratory analysis and differential expression

PubMed Central

Love, Michael I.; Anders, Simon; Kim, Vladislav; Huber, Wolfgang

2015-01-01

Here we walk through an end-to-end gene-level RNA-Seq differential expression workflow using Bioconductor packages. We will start from the FASTQ files, show how these were aligned to the reference genome, and prepare a count matrix which tallies the number of RNA-seq reads/fragments within each gene for each sample. We will perform exploratory data analysis (EDA) for quality assessment and to explore the relationship between samples, perform differential gene expression analysis, and visually explore the results. PMID:26674615

Existential Measurement: A Factor Analytic Study of Some Current Psychometric Instruments.

ERIC Educational Resources Information Center

Thauberger, Patrick C.; And Others

1982-01-01

Research in existentialism and ontology has given rise to several psychometric instruments. Used both exploratory and confirmatory principal-factor analyses to study relationships among 16 existential scales. Exploratory factor analysis provided some support of the theory that the avoidance of existential confrontation is a central function of…

The Interpretative Phenomenological Analysis (IPA): A Guide to a Good Qualitative Research Approach

ERIC Educational Resources Information Center

Alase, Abayomi

2017-01-01

As a research methodology, qualitative research method infuses an added advantage to the exploratory capability that researchers need to explore and investigate their research studies. Qualitative methodology allows researchers to advance and apply their interpersonal and subjectivity skills to their research exploratory processes. However, in a…

An Exploratory Study of Student Satisfaction with University Web Page Design

ERIC Educational Resources Information Center

Gundersen, David E.; Ballenger, Joe K.; Crocker, Robert M.; Scifres, Elton L.; Strader, Robert

2013-01-01

This exploratory study evaluates the satisfaction of students with a web-based information system at a medium-sized regional university. The analysis provides a process for simplifying data interpretation in captured student user feedback. Findings indicate that student classifications, as measured by demographic and other factors, determine…

Caring Leadership in Schools: Findings from Exploratory Analyses

ERIC Educational Resources Information Center

Louis, Karen Seashore; Murphy, Joseph; Smylie, Mark

2016-01-01

Purpose: This article (1) analyzes and synthesizes literatures from philosophy and education to propose a conceptual framework for caring in schools and caring school leadership and (2) reports the results of an exploratory analysis of the relationship of caring principal leadership to school-level supports for student academic learning.…

The Effects of Mobile Collaborative Activities in a Second Language Course

ERIC Educational Resources Information Center

Ilic, Peter

2015-01-01

This research is designed to explore the areas of collaborative learning and the use of smartphones as a support for collaborative learning through a year-long exploratory multiple case study approach integrating both qualitative and quantitative data analysis. Qualitative exploratory interviews are combined with Multidimensional Scaling Analysis…

Exploratory Honors Students: Academic Major and Career Decision Making

ERIC Educational Resources Information Center

Carduner, Jessie; Padak, Gary M.; Reynolds, Jamie

2011-01-01

In this qualitative study, we investigated the academic major and career decision-making processes of honors college students who were declared as "exploratory" students in their freshman year at a large, public, midwestern university. We used semistandardized interviews and document analysis as primary data collection methods to answer…

EXPLORATORY ANALYSIS OF THE EFFECTS OF PARTICULATE CHARACTERISTICS ON THE VARIATION IN PARTITIONING OF NONPOLAR ORGANIC CONTAMINANTS TO MARINE SEDIMENTS

EPA Science Inventory

The partitioning of nonpolar organic contaminants to marine sediments is considered to be controlled by the amount of organic carbon present. However, several studies propose that other characteristics of sediments may affect the partitioning of contaminants. For this exploratory...

Pedagogical monitoring as a tool to reduce dropout in distance learning in family health.

PubMed

de Castro E Lima Baesse, Deborah; Grisolia, Alexandra Monteiro; de Oliveira, Ana Emilia Figueiredo

2016-08-22

This paper presents the results of a study of the Monsys monitoring system, an educational support tool designed to prevent and control the dropout rate in a distance learning course in family health. Developed by UNA-SUS/UFMA, Monsys was created to enable data mining in the virtual learning environment known as Moodle. This is an exploratory study using documentary and bibliographic research and analysis of the Monsys database. Two classes (2010 and 2011) were selected as research subjects, one with Monsys intervention and the other without. The samples were matched (using a ration of 1:1) by gender, age, marital status, graduation year, previous graduation status, location and profession. Statistical analysis was performed using the chi-square test and a multivariate logistic regression model with a 5 % significance level. The findings show that the dropout rate in the class in which Monsys was not employed (2010) was 43.2 %. However, the dropout rate in the class of 2011, in which the tool was employed as a pedagogical team aid, was 30.6 %. After statistical adjustment, the Monsys monitoring system remained in correlation with the course completion variable (adjusted OR = 1.74, IC95% = 1.17-2.59; p = 0.005), suggesting that the use of the Monsys tool, isolated to the adjusted variables, can enhance the likelihood that students will complete the course. Using the chi-square test, a profile analysis of students revealed a higher completion rate among women (67.7 %) than men (52.2 %). Analysis of age demonstrated that students between 40 and 49 years dropped out the least (32.1 %) and, with regard to professional training, nurses have the lowest dropout rates (36.3 %). The use of Monsys significantly reduced the dropout, with results showing greater association between the variables denoting presence of the monitoring system and female gender.

Exploring high school science students' perceptions of parental involvement in their education.

PubMed

Mji, Andile; Mbinda, Zoleka

2005-08-01

This exploratory study describes high school students' perceptions of their parents' involvement in their education and in relation to school achievement. A new 12-item Parental Involvement Scale was used to measure parents' involvement in curricular and extracurricular activities and using exploratory analyses to estimate the scale's properties. Exploratory analysis resulted in the reduction of the 12 items to 8, with an internal consistency (Cronbach alpha) .82. Grade 12 science students indicated that their less educated parents were involved in activities pertaining to their learning; however, high perceived parental involvement in curricular activities was related to low achievement. It is recommended that further exploratory analyses be undertaken to examine the reported two-dimensional model of the Parental Involvement Scale.

Exploratory factor analysis in Rehabilitation Psychology: a content analysis.

PubMed

Roberson, Richard B; Elliott, Timothy R; Chang, Jessica E; Hill, Jessica N

2014-11-01

Our objective was to examine the use and quality of exploratory factor analysis (EFA) in articles published in Rehabilitation Psychology. Trained raters examined 66 separate exploratory factor analyses in 47 articles published between 1999 and April 2014. The raters recorded the aim of the EFAs, the distributional statistics, sample size, factor retention method(s), extraction and rotation method(s), and whether the pattern coefficients, structure coefficients, and the matrix of association were reported. The primary use of the EFAs was scale development, but the most widely used extraction and rotation method was principle component analysis, with varimax rotation. When determining how many factors to retain, multiple methods (e.g., scree plot, parallel analysis) were used most often. Many articles did not report enough information to allow for the duplication of their results. EFA relies on authors' choices (e.g., factor retention rules extraction, rotation methods), and few articles adhered to all of the best practices. The current findings are compared to other empirical investigations into the use of EFA in published research. Recommendations for improving EFA reporting practices in rehabilitation psychology research are provided.

Haystack, a web-based tool for metabolomics research

PubMed Central

2014-01-01

Background Liquid chromatography coupled to mass spectrometry (LCMS) has become a widely used technique in metabolomics research for differential profiling, the broad screening of biomolecular constituents across multiple samples to diagnose phenotypic differences and elucidate relevant features. However, a significant limitation in LCMS-based metabolomics is the high-throughput data processing required for robust statistical analysis and data modeling for large numbers of samples with hundreds of unique chemical species. Results To address this problem, we developed Haystack, a web-based tool designed to visualize, parse, filter, and extract significant features from LCMS datasets rapidly and efficiently. Haystack runs in a browser environment with an intuitive graphical user interface that provides both display and data processing options. Total ion chromatograms (TICs) and base peak chromatograms (BPCs) are automatically displayed, along with time-resolved mass spectra and extracted ion chromatograms (EICs) over any mass range. Output files in the common .csv format can be saved for further statistical analysis or customized graphing. Haystack's core function is a flexible binning procedure that converts the mass dimension of the chromatogram into a set of interval variables that can uniquely identify a sample. Binned mass data can be analyzed by exploratory methods such as principal component analysis (PCA) to model class assignment and identify discriminatory features. The validity of this approach is demonstrated by comparison of a dataset from plants grown at two light conditions with manual and automated peak detection methods. Haystack successfully predicted class assignment based on PCA and cluster analysis, and identified discriminatory features based on analysis of EICs of significant bins. Conclusion Haystack, a new online tool for rapid processing and analysis of LCMS-based metabolomics data is described. It offers users a range of data visualization options and supports non-biased differential profiling studies through a unique and flexible binning function that provides an alternative to conventional peak deconvolution analysis methods. PMID:25350247

Haystack, a web-based tool for metabolomics research.

PubMed

Grace, Stephen C; Embry, Stephen; Luo, Heng

2014-01-01

Liquid chromatography coupled to mass spectrometry (LCMS) has become a widely used technique in metabolomics research for differential profiling, the broad screening of biomolecular constituents across multiple samples to diagnose phenotypic differences and elucidate relevant features. However, a significant limitation in LCMS-based metabolomics is the high-throughput data processing required for robust statistical analysis and data modeling for large numbers of samples with hundreds of unique chemical species. To address this problem, we developed Haystack, a web-based tool designed to visualize, parse, filter, and extract significant features from LCMS datasets rapidly and efficiently. Haystack runs in a browser environment with an intuitive graphical user interface that provides both display and data processing options. Total ion chromatograms (TICs) and base peak chromatograms (BPCs) are automatically displayed, along with time-resolved mass spectra and extracted ion chromatograms (EICs) over any mass range. Output files in the common .csv format can be saved for further statistical analysis or customized graphing. Haystack's core function is a flexible binning procedure that converts the mass dimension of the chromatogram into a set of interval variables that can uniquely identify a sample. Binned mass data can be analyzed by exploratory methods such as principal component analysis (PCA) to model class assignment and identify discriminatory features. The validity of this approach is demonstrated by comparison of a dataset from plants grown at two light conditions with manual and automated peak detection methods. Haystack successfully predicted class assignment based on PCA and cluster analysis, and identified discriminatory features based on analysis of EICs of significant bins. Haystack, a new online tool for rapid processing and analysis of LCMS-based metabolomics data is described. It offers users a range of data visualization options and supports non-biased differential profiling studies through a unique and flexible binning function that provides an alternative to conventional peak deconvolution analysis methods.

Development of a new multimedia instrument to measure cancer-specific quality of life in Portuguese-speaking patients with varying literacy skills.

PubMed

Paiva, Carlos Eduardo; Siquelli, Felipe Augusto Ferreira; Zaia, Gabriela Rossi; de Andrade, Diocésio Alves Pinto; Borges, Marcos Aristoteles; Jácome, Alexandre A; Giroldo, Gisele Augusta Sousa Nascimento; Santos, Henrique Amorim; Hahn, Elizabeth A; Uemura, Gilberto; Paiva, Bianca Sakamoto Ribeiro

2016-01-01

To develop and validate a new multimedia instrument to measure health-related quality of life (HRQOL) in Portuguese-speaking patients with cancer. A mixed-methods study conducted in a large Brazilian Cancer Hospital. The instrument was developed along the following sequential phases: identification of HRQOL issues through qualitative content analysis of individual interviews, evaluation of the most important items according to the patients, review of the literature, evaluation by an expert committee, and pretesting. In sequence, an exploratory factor analysis was conducted (pilot testing, n = 149) to reduce the number of items and to define domains and scores. The psychometric properties of the IQualiV-OG-21 were measured in a large multicentre Brazilian study (n = 323). A software containing multimedia resources were developed to facilitate self-administration of IQualiV-OG-21; its feasibility and patients' preferences ("paper and pencil" vs. software) were further tested (n = 54). An exploratory factor analysis reduced the 30-item instrument to 21 items. The IQualiV-OG-21 was divided into 6 domains: emotional, physical, existential, interpersonal relationships, functional and financial. The multicentre study confirmed that it was valid and reliable. The electronic multimedia instrument was easy to complete and acceptable to patients. Regarding preferences, 61.1 % of them preferred the electronic format in comparison with the paper and pencil format. The IQualiV-OG-21 is a new valid and reliable multimedia HRQOL instrument that is well-understood, even by patients with low literacy skills, and can be answered quickly. It is a useful new tool that can be translated and tested in other cultures and languages.

The Consequences of Employee Commitment, Turnover, and Absenteeism: An Exploratory Analysis.

DTIC Science & Technology

1981-08-01

and Absenteeism : An Exploratory Analysis Gt. PERFORMING ORG. REPORT NUMBER 7. AUTHOR(a) S. CONTRACT OR GRANT NUMBER(e) Richard T. Mowday N00014-81-K... Absenteeism therefore provides organizations with the opportunity to train employees to perform a number of different tasks. -35- Negative consequences...AD-A103 359 OREGON UNIV EUGENE GRADUATE SCHOOL OF MANAGEMENT AND-ETC Ft6 S/1 THE CONSEQUENCES OF EMPLOYEE COMMITMENT, TURNOVER, AND ABSENTEE -ETC(U

Validating a tool to measure auxiliary nurse midwife and nurse motivation in rural Nepal.

PubMed

Morrison, Joanna; Batura, Neha; Thapa, Rita; Basnyat, Regina; Skordis-Worrall, Jolene

2015-05-12

A global shortage of health workers in rural areas increases the salience of motivating and supporting existing health workers. Understandings of motivation may vary in different settings, and it is important to use measurement methods that are contextually appropriate. We identified a measurement tool, previously used in Kenya, and explored its validity and reliability to measure the motivation of auxiliary nurse midwives (ANM) and staff nurses (SN) in rural Nepal. Qualitative and quantitative methods were used to assess the content validity, the construct validity, the internal consistency and the reliability of the tool. We translated the tool into Nepali and it was administered to 137 ANMs and SNs in three districts. We collected qualitative data from 78 nursing personnel and district- and central-level stakeholders using interviews and focus group discussions. We calculated motivation scores for ANMs and SNs using the quantitative data and conducted statistical tests for validity and reliability. Motivation scores were compared with qualitative data. Descriptive exploratory analysis compared mean motivation scores by ANM and SN sociodemographic characteristics. The concept of self-efficacy was added to the tool before data collection. Motivation was revealed through conscientiousness. Teamwork and the exertion of extra effort were not adequately captured by the tool, but important in illustrating motivation. The statement on punctuality was problematic in quantitative analysis, and attendance was more expressive of motivation. The calculated motivation scores usually reflected ANM and SN interview data, with some variation in other stakeholder responses. The tool scored within acceptable limits in validity and reliability testing and was able to distinguish motivation of nursing personnel with different sociodemographic characteristics. We found that with minor modifications, the tool provided valid and internally consistent measures of motivation among ANMs and SNs in this context. We recommend the use of this tool in similar contexts, with the addition of statements about self-efficacy, teamwork and exertion of extra effort. Absenteeism should replace the punctuality statement, and statements should be worded both positively and negatively to mitigate positive response bias. Collection of qualitative data on motivation creates a more nuanced understanding of quantitative scores.

Emergency nurses' evaluation of observational pain assessment tools for older people with cognitive impairment.

PubMed

Fry, Margaret; Arendts, Glenn; Chenoweth, Lynn

2017-05-01

To explore emergency nurses' perceptions of the feasibility and utility of Pain Assessment in Advanced Dementia tool in people over 65 with cognitive impairment. The Pain Assessment in Advanced Dementia tool was then compared with The Abbey Pain Scale, Doloplus-2 and PACSLAC. The objective was to determine which observational pain assessment tool was the most appropriate for the emergency department context and the cognitively impaired older person. The number of older people with cognitive impairment conditions, such as dementia, presenting to the emergency department is increasing. Approximately 28% of people over 65 years who present will have cognitive impairment. Older people with cognitive impairment often receive suboptimal pain management in the ED. There is limited evidence of the use and/or appropriateness of dementia-specific pain observation assessment tools in the ED. This was a multicentre exploratory qualitative study, which was conducted within a constructivist paradigm. Focus group interviews were conducted with nurses across three hospital emergency departments. Data were subject to thematic analysis. Six focus groups were conducted with 36 nurses over a 12-week period. Four themes emerged from the analysis: 1) cognitive impairment is a barrier to pain management; 2) PAINAD gives structure to pain assessment; 3) PAINAD assists to convey pain intensity; and 4) selection of an appropriate observational pain assessment tool. This study identified that emergency nurses find it challenging to detect, assess and manage pain in cognitively impaired people. While the use of the PAINAD helped to address these challenges compared to other tools, nurses also identified the important role that family and carers can play in pain assessment and management for older people with cognitive impairment. This study has generated new knowledge that has broad application across clinical settings, which can assist to transform pain management practice and reduce human suffering. The use of an observational pain assessment tool can provide for greater practice consistency for patients with communication difficulties. Pain management for older people with cognitive impairment is best achieved by the use an appropriate observational pain assessment tool and with a multidisciplinary approach that includes the person and their family/carer. © 2016 John Wiley & Sons Ltd.

The development of the Problematic Online Gaming Questionnaire (POGQ).

PubMed

Demetrovics, Zsolt; Urbán, Róbert; Nagygyörgy, Katalin; Farkas, Judit; Griffiths, Mark D; Pápay, Orsolya; Kökönyei, Gyöngyi; Felvinczi, Katalin; Oláh, Attila

2012-01-01

Online gaming has become increasingly popular. However, this has led to concerns that these games might induce serious problems and/or lead to dependence for a minority of players. The aim of this study was to uncover and operationalize the components of problematic online gaming. A total of 3415 gamers (90% males; mean age 21 years), were recruited through online gaming websites. A combined method of exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) was applied. Latent profile analysis was applied to identify persons at-risk. EFA revealed a six-factor structure in the background of problematic online gaming that was also confirmed by a CFA. For the assessment of the identified six dimensions--preoccupation, overuse, immersion, social isolation, interpersonal conflicts, and withdrawal--the 18-item Problematic Online Gaming Questionnaire (POGQ) proved to be exceedingly suitable. Based on the latent profile analysis, 3.4% of the gamer population was considered to be at high risk, while another 15.2% was moderately problematic. The POGQ seems to be an adequate measurement tool for the differentiated assessment of gaming related problems on six subscales.

A tool to assess sex-gender when selecting health research projects.

PubMed

Tomás, Concepción; Yago, Teresa; Eguiluz, Mercedes; Samitier, M A Luisa; Oliveros, Teresa; Palacios, Gemma

2015-04-01

To validate the questionnaire "Gender Perspective in Health Research" (GPIHR) to assess the inclusion of gender perspective in research projects. Validation study in two stages. Feasibility was analysed in the first, and reliability, internal consistence and validity in the second. Aragón Institute of Health Science, Aragón, Spain. GPIHR was applied to 118 research projects funded in national and international competitive tenders from 2003 to 2012. Analysis of inter- and intra-observer reliability with Kappa index and internal consistency with Cronbach's alpha. Content validity analysed through literature review and construct validity with an exploratory factor analysis. Validated GPIHR has 10 questions: 3 in the introduction, 1 for objectives, 3 for methodology and 3 for research purpose. Average time of application was 13min Inter-observer reliability (Kappa) varied between 0.35 and 0.94 and intra-observer between 0.40 and 0.94. Theoretical construct is supported in the literature. Factor analysis identifies three levels of GP inclusion: "difference by sex", "gender sensitive" and "feminist research" with an internal consistency of 0.64, 0.87 and 0.81, respectively, which explain 74.78% of variance. GPIHR questionnaire is a valid tool to assess GP and useful for those researchers who would like to include GP in their projects. Copyright © 2014 Elsevier España, S.L.U. All rights reserved.

Adaption and Validation of the Picker Employee Questionnaire With Hospital Midwives.

PubMed

Stahl, Katja; Schirmer, Claudia; Kaiser, Laura

To describe the adaption and psychometric testing of the Picker Employee Questionnaire to measure work environment, work experience, and employee engagement with midwives. Expert interviews, cognitive testing, and online survey for data collection. Obstetric departments in Germany. Midwives employed in German obstetric departments: 3,867 were invited to take part, and 1,692 (44%) responded to the survey. Questionnaire adaption involved expert interviews and cognitive testing. Psychometric evaluation was done via exploratory factor analysis, reliability analysis, and construct validity assessment. The adaption of the Picker Employee Questionnaire resulted in a tool with 75 closed questions referring to central aspects of work environment, experience, and engagement. Factor analysis yielded 10 factors explaining 51% of the variance. Themes covered were Support from Management (Immediate Superior and Hospital Management), Workload, Overtime, Scheduling, Education and Training, Interaction with Colleagues (Midwives, Physicians, and Nurses), and Engagement. Eight scales had a Cronbach's alpha coefficient of 0.7 or greater; the remaining two were 0.6 or less. The questionnaire distinguished between different subgroups of midwives and hospitals. The questionnaire is well suited for the measurement of midwives' work experience, environment, and engagement. It is a useful tool that supports employers and human resource managers in shaping and motivating an efficient work environment for midwives. Copyright © 2017 AWHONN, the Association of Women’s Health, Obstetric and Neonatal Nurses. Published by Elsevier Inc. All rights reserved.

Validation of the Neonatal Satisfaction Survey (NSS-8) in six Norwegian neonatal intensive care units: a quantitative cross-sectional study.

PubMed

Hagen, Inger Hilde; Svindseth, Marit Følsvik; Nesset, Erik; Orner, Roderick; Iversen, Valentina Cabral

2018-03-27

The experience of having their new-borns admitted to an intensive care unit (NICU) can be extremely distressing. Subsequent risk of post-incident-adjustment difficulties are increased for parents, siblings, and affected families. Patient and next of kin satisfaction surveys provide key indicators of quality in health care. Methodically constructed and validated survey tools are in short supply and parents' experiences of care in Neonatal Intensive Care Units is under-researched. This paper reports a validation of the Neonatal Satisfaction Survey (NSS-8) in six Norwegian NICUs. Parents' survey returns were collected using the Neonatal Satisfaction Survey (NSS-13). Data quality and psychometric properties were systematically assessed using exploratory factor analysis, tests of internal consistency, reliability, construct, convergent and discriminant validity. Each set of hospital returns were subjected to an apostasy analysis before an overall satisfaction rate was calculated. The survey sample of 568 parents represents 45% of total eligible population for the period of the study. Missing data accounted for 1,1% of all returns. Attrition analysis shows congruence between sample and total population. Exploratory factor analysis identified eight factors of concern to parents,"Care and Treatment", "Doctors", "Visits", "Information", "Facilities", "Parents' Anxiety", "Discharge" and "Sibling Visits". All factors showed satisfactory internal consistency, good reliability (Cronbach's alpha ranged from 0.70-0.94). For the whole scale of 51 items α 0.95. Convergent validity using Spearman's rank between the eight factors and question measuring overall satisfaction was significant on all factors. Discriminant validity was established for all factors. Overall satisfaction rates ranged from 86 to 90% while for each of the eight factors measures of satisfaction varied between 64 and 86%. The NSS-8 questionnaire is a valid and reliable scale for measuring parents' assessment of quality of care in NICU. Statistical analysis confirms the instrument's capacity to gauge parents' experiences of NICU. Further research is indicated to validate the survey questionnaire in other Nordic countries and beyond.

Validation of the Chinese version of public attitudes toward epilepsy scale in Mainland China.

PubMed

Yue, Zongwei; Ma, Chanthia; Lim, Kheng-Seang; Xiao, Bo; Wu, Qian; Shu, Yi; Yue, Zhiping; Wang, Yelan; Feng, Li

2017-07-01

Epilepsy is a significant yet seriously underappreciated public health issue in Mainland China. The stigma and discrimination toward people with epilepsy (PWE) and their families are especially severe in China based on cultural misconceptions which cause tremendous psychological, economic and social burdens. It is imperative to formulate a targeted public intervention to eliminate knowledge gaps and correct these misconceptions of epilepsy. However, to date, the essential tools that may drive such an intervention by measuring the public perspective on PWEs is lacking in China. The goal of this study is to test the reliability and validity of a Simplified Chinese version of the "Public Attitude Toward Epilepsy" scale (PATE) in Mainland China which can be used to understand the content and identify the possible sources of stigma to better inform the design and focus of future stigma reduction interventions. The standard procedure of cross-cultural adaptation was used in the translation process. Subjects from different economic and social backgrounds were enrolled by convenience sampling in central China. Exploratory factor analysis and confirmatory factor analysis were used to check the underlying factor structure of the items. Furthermore, Cronbach's alpha was utilized to assess internal consistency. 199 respondents were included in the final analysis. Content validity of this Chinese PATE was assessed to be adequate for assessing public attitudes toward epilepsy among the mainland Chinese. Two factors were extracted from the data by exploratory factor analysis; confirmatory factor analysis further confirmed good consistency of theoretical constructs between the original Public Attitudes Toward Epilepsy scale and our Chinese PATE. Our Chinese PATE presented excellent internal consistency (α=0.853-0.909). This version of the Chinese PATE showed acceptable psychometric properties, indicating that it can be implemented in surveying public attitudes toward epilepsy in Mainland China. Copyright © 2017 Elsevier Inc. All rights reserved.

Exploratory factor analysis of self-reported symptoms in a large, population-based military cohort

PubMed Central

2010-01-01

Background US military engagements have consistently raised concern over the array of health outcomes experienced by service members postdeployment. Exploratory factor analysis has been used in studies of 1991 Gulf War-related illnesses, and may increase understanding of symptoms and health outcomes associated with current military conflicts in Iraq and Afghanistan. The objective of this study was to use exploratory factor analysis to describe the correlations among numerous physical and psychological symptoms in terms of a smaller number of unobserved variables or factors. Methods The Millennium Cohort Study collects extensive self-reported health data from a large, population-based military cohort, providing a unique opportunity to investigate the interrelationships of numerous physical and psychological symptoms among US military personnel. This study used data from the Millennium Cohort Study, a large, population-based military cohort. Exploratory factor analysis was used to examine the covariance structure of symptoms reported by approximately 50,000 cohort members during 2004-2006. Analyses incorporated 89 symptoms, including responses to several validated instruments embedded in the questionnaire. Techniques accommodated the categorical and sometimes incomplete nature of the survey data. Results A 14-factor model accounted for 60 percent of the total variance in symptoms data and included factors related to several physical, psychological, and behavioral constructs. A notable finding was that many factors appeared to load in accordance with symptom co-location within the survey instrument, highlighting the difficulty in disassociating the effects of question content, location, and response format on factor structure. Conclusions This study demonstrates the potential strengths and weaknesses of exploratory factor analysis to heighten understanding of the complex associations among symptoms. Further research is needed to investigate the relationship between factor analytic results and survey structure, as well as to assess the relationship between factor scores and key exposure variables. PMID:20950474

An Exploratory Study of Intrinsic & Extrinsic Motivators and Student Performance in an Auditing Course

ERIC Educational Resources Information Center

Mo, Songtao

2011-01-01

The objective of this study is to investigate the association of intrinsic and extrinsic motivators and student performance. This study performs an exploratory analysis and presents evidence to demonstrate that intrinsic motivators affect the connection between external motivators and student performance. The empirical tests follow the framework…

Situated Analysis of Team Handball Players' Decisions: An Exploratory Study

ERIC Educational Resources Information Center

Lenzen, Benoit; Theunissen, Catherine; Cloes, Marc

2009-01-01

This exploratory study aimed to investigate elements involved in decision making in team handball live situations and to provide coaches and educators with teaching recommendations. The study was positioned within the framework of the situated-action paradigm of which two aspects were of particular interest for this project: (a) the relationship…

Therapeutic Writing: An Exploratory Speech-Language Pathology Counseling Technique

ERIC Educational Resources Information Center

Isaki, Emi; Brown, Betty G.; Alemán, Sara; Hackstaff, Karla

2015-01-01

This exploratory qualitative study investigated the use of therapeutic writing for counseling long-term caregivers of spouses with brain injury and neurogenic communication disorders. Three participants wrote an average of six single-spaced pages of text. After analysis of the written text, the common themes of onset of diagnosis, anger, grief,…

A Study of the Exploratory Behavior of Legally Blind and Sighted Preschoolers.

ERIC Educational Resources Information Center

Olson, Myrna R.

1983-01-01

Fifteen legally blind preschoolers and 15 sighted controls matched for age, sex, and socioeconomic status were observed with novel and non-novel toys. Analysis of the exploratory behavior revealed no significant differences between the interaction of each group with either toy except in patterns of sensory utilization. (CL)

An Exploratory Investigation of the Factor Structure of the Reynolds Intellectual Assessment Scales (RIAS)

ERIC Educational Resources Information Center

Dombrowski, Stefan C.; Watkins, Marley W.; Brogan, Michael J.

2009-01-01

This study investigated the factor structure of the Reynolds Intellectual Assessment Scales (RIAS) using rigorous exploratory factor analytic and factor extraction procedures. The results of this study indicate that the RIAS is a single factor test. Despite these results, higher order factor analysis using the Schmid-Leiman procedure indicates…

An Exploratory Study of Animal-Assisted Interventions Utilized by Mental Health Professionals

ERIC Educational Resources Information Center

O'Callaghan, Dana M.; Chandler, Cynthia K.

2011-01-01

This study implemented an exploratory analysis to examine how a sample of mental health professionals incorporates specific animal-assisted techniques into the therapeutic process. An extensive review of literature related to animal-assisted therapy (AAT) resulted in the identification of 18 techniques and 10 intentions for the practice of AAT in…

Examining Metacognitive Processes in Exploratory Computer-Based Learning Environments Using Activity Log Analysis

ERIC Educational Resources Information Center

Chang, Yoo Kyung

2010-01-01

Metacognition is widely studied for its influence on the effectiveness of learning. With Exploratory Computer-Based Learning Environments (ECBLE), metacognition is found to be especially important because these environments require adaptive metacognitive control by the learners due to their open-ended structure that allows for multiple learning…

Development of PAOT tool kit for work improvements in clinical nursing.

PubMed

Jung, Moon-Hee

2014-01-01

The aim of this study was to develop an action checklist for educational training of clinical nurses. The study used qualitative and quantitative methods. Questionnaire items were extracted through in-depth interviews and a questionnaire survey. PASW version 19 and AMOS version 19 were used for data analyses. Reliability and validity were tested with both exploratory and confirmative factor analysis. The levels of the indicators related to goodness-of-fit were acceptable. Thus, a model kit of work improvements in clinical nursing was developed. It comprises 5 domains (16 action points): health promotion (5 action points), work management (3 action points), ergonomic work methods (3 action points), managerial policies and mutual support among staff members (3 action points), and welfare in the work area (2 action points).

Coping with child violencein primary care: how do professionals perceive it?

PubMed

Egry, Emiko Yoshikawa; Apostólico, Maíra Rosa; Morais, Teresa Christine Pereira; Lisboa, Caroline Carapiá Ribas

2017-01-01

to know the perception of health professionals working in primary care about child violence, since this has increased progressively in the world, requiring every effort to intervene. this is a qualitative, descriptive and exploratory study performed through interviews with professionals in primary care in a health district of São Paulo. The Alceste tool was used for analysis of data from the speeches. perceptions of professionals point to the limits and difficulties of the care network with coping; need for intersectoral action; violence situations identified within the caresetting; and causes and effects of violence on child development. there is need for qualified training of workers, health network organization for the provision of quantity and quality of care services, and financial resources for coping with child violence.

Seeing Tornado: How Video Traces Mediate Visitor Understandings of (Natural?) Phenomena in a Science Museum.

ERIC Educational Resources Information Center

Stevens, Reed; Hall, Rogers

1997-01-01

Reports on an exploratory study of how people see and explain a prominent exhibit (Tornado) at an interactive science museum (the Exploratorium). Data was assembled using a novel, technically mediated activity system (Video Traces). Argues that Video Traces is an effective tool and discusses an expanded Video Traces system. (Author/DKM)

Assessing Text Readability Using Cognitively Based Indices

ERIC Educational Resources Information Center

Crossley, Scott A.; Greenfield, Jerry; McNamara, Danielle S.

2008-01-01

Many programs designed to compute the readability of texts are narrowly based on surface-level linguistic features and take too little account of the processes which a reader brings to the text. This study is an exploratory examination of the use of Coh-Metrix, a computational tool that measures cohesion and text difficulty at various levels of…

Towards Individualized Instruction with Technology-Enabled Tools and Methods: An Exploratory Study. CRESST Report 854

ERIC Educational Resources Information Center

Chung, Gregory K. W. K.; Delacruz, Girlie C.; Dionne, Gary B.; Baker, Eva L.; Lee, John J.; Osmundson, Ellen

2016-01-01

This report addresses a renewed interest in individualized instruction, driven in part by advances in technology and assessment as well as a persistent desire to increase the access, efficiency, and cost effectiveness of training and education. Using computer-based instruction we delivered extremely efficient instruction targeted to low knowledge…

Developing a Scale for Innovation Management at Schools: A Study of Validity and Reliability

ERIC Educational Resources Information Center

Bulbul, Tuncer

2012-01-01

The purpose of this study is to develop a valid and reliable assessment tool for use in determining the competency beliefs of school administrators about innovation management. The scale applied to a study group of 216 school administrators, after work Centered on assessing intelligibility and specialized opinion. Exploratory and confirmatory…

Values and Actions: An Exploratory Study of School Principals in the Mainland of China

ERIC Educational Resources Information Center

Pisapia, John R.; Lin, Ying

2011-01-01

This paper explores the relationship between leader values and actions in the Chinese context. The Chinese Value Instrument (CVI) and the Strategic Leadership Questionnaire (SLQ) were used as the primary data collection tools. The CVI was used to measure the presence of ten values: (1) social harmony, (2) benevolence and honesty, (3) initiative…

Encountering the Past in the Present: An Exploratory Study of Educational Heritage Tourism

ERIC Educational Resources Information Center

Gross, Magdalena H.; Kelman, Ari Y.

2017-01-01

This article presents an educational programme designed to explore the multicultural history of Poland. Targeting Jewish and non-Jewish students of Polish heritage, the "Polonia Programme" (PP) was conceptualised with the aim of applying the tools of experiential education to initiate a new approach to examining one of the world's most…

Logic of Sherlock Holmes in Technology Enhanced Learning

ERIC Educational Resources Information Center

Patokorpi, Erkki

2007-01-01

Abduction is a method of reasoning that people use under uncertainty in a context in order to come up with new ideas. The use of abduction in this exploratory study is twofold: (i) abduction is a cross-disciplinary analytic tool that can be used to explain certain key aspects of human-computer interaction in advanced Information Society Technology…

Exploring Links between Empowerment and Community-Based Arts and Cultural Practices: Perspectives from Barcelona Practitioners

ERIC Educational Resources Information Center

Carrasco, Ruben David Fernández; Monferrer, Moisés Carmona; Tarditi, Andrés Di Masso

2016-01-01

In this paper, we reflect on the development of community-based arts and cultural (CBAC) practices to promote psychosocial, group/organisational and community changes from the perspective of empowerment. We draw on findings from an initial exploratory phase of an ongoing action-research project in Spain about creative tools that empower artists…

User and System-Based Quality Criteria for Evaluating Information Resources and Services Available from Federal Websites: Final Report.

ERIC Educational Resources Information Center

Wyman, Steven K.; And Others

This exploratory study establishes analytical tools (based on both technical criteria and user feedback) by which federal Web site administrators may assess the quality of their websites. The study combined qualitative and quantitative data collection techniques to achieve the following objectives: (1) identify and define key issues regarding…

Developing Attitude Scale, Reliability and Validity for Pre-Service Teachers towards Drama Lesson

ERIC Educational Resources Information Center

Çelik, Özkan; Bozdemir, Hafife; Uyanik, Gökhan

2016-01-01

The purpose of this study is to develop an attitude scale for pre-service teachers towards drama lesson. Survey model was used in study. The sample of study consisted of 258 pre-service teachers. "Attitude scale towards drama lesson for pre-service teachers" was developed and used as data collection tool. Exploratory and confirmatory…

Implementing Service Learning into a Graduate Social Work Course: A Step-by-Step Guide

ERIC Educational Resources Information Center

Campbell, Evelyn Marie

2012-01-01

Service learning is a powerful pedagogical tool linking community service to academic learning. Several steps are necessary to implement service learning effectively into the curriculum. This study uses a case example as an exploratory study to pilot-test data on how service learning impacts student outcomes. The paper will (1) provide an overview…

Forging; Heat Treating and Testing; Technically Oriented Industrial Materials and Process 1: 5898.05.

ERIC Educational Resources Information Center

Dade County Public Schools, Miami, FL.

The course provides students with advanced and exploratory experience in the area of plastic deformation of metals and in the changing of the physical characteristics of metals by the controlled application and timed removal of heat. Course content includes goals, specific objectives, safety in forge work, forging tools and equipment, industrial…

Issues in the Multi-Cultural Assessment of Parent-Child Interaction: An Exploratory Study from the Starting Early Starting Smart Collaboration

ERIC Educational Resources Information Center

Bernstein, V.J.; Harris, E.J.; Long, C.W.; Iida, E.; Hans, S.L.

2005-01-01

A national, multi-site study of behavioral health services integration developed a parent-child interaction assessment tool and culturally anchored videotape protocol. Representatives from programs serving Chinese, Native American, Latin-American, African-American, and Anglo-American families discussed cross-cultural issues in parenting and…

Serious Play in Education for Social Justice--An Exploratory Study

ERIC Educational Resources Information Center

Wartenweiler, Thomas

2018-01-01

Fair Battles is a 12-week Swiss education for social justice program with the goal of sensitizing high school students about the impact of their consumer habits on society. The pedagogical concept of Fair Battles is to employ the tool of serious play to enhance students' social empathy, which then leads to service learning projects. This…

Developing and Verifying a Business-Creativity Assessment Tool: A Nationwide Study in Taiwan

ERIC Educational Resources Information Center

Cheng, Kai-Wen; Chen, Yu-Fen

2010-01-01

This study was designed to assess business creativity of students in Taiwan. A questionnaire was developed and administered to students in business-related departments of 16 vocational schools during November 2006. Of the 1,420 administered questionnaires, 1,052 were valid, resulting in a valid response rate of 70.48%. Exploratory factor analysis…

Aeroshell Design Techniques for Aerocapture Entry Vehicles

NASA Technical Reports Server (NTRS)

Dyke, R. Eric; Hrinda, Glenn A.

2004-01-01

A major goal of NASA s In-Space Propulsion Program is to shorten trip times for scientific planetary missions. To meet this challenge arrival speeds will increase, requiring significant braking for orbit insertion, and thus increased deceleration propellant mass that may exceed launch lift capabilities. A technology called aerocapture has been developed to expand the mission potential of exploratory probes destined for planets with suitable atmospheres. Aerocapture inserts a probe into planetary orbit via a single pass through the atmosphere using the probe s aeroshell drag to reduce velocity. The benefit of an aerocapture maneuver is a large reduction in propellant mass that may result in smaller, less costly missions and reduced mission cruise times. The methodology used to design rigid aerocapture aeroshells will be presented with an emphasis on a new systems tool under development. Current methods for fast, efficient evaluations of structural systems for exploratory vehicles to planets and moons within our solar system have been under development within NASA having limited success. Many systems tools that have been attempted applied structural mass estimation techniques based on historical data and curve fitting techniques that are difficult and cumbersome to apply to new vehicle concepts and missions. The resulting vehicle aeroshell mass may be incorrectly estimated or have high margins included to account for uncertainty. This new tool will reduce the guesswork previously found in conceptual aeroshell mass estimations.

An exploratory spatial analysis of social vulnerability and smoke plum dispersion in the U.S

Treesearch

Cassandra Johnson Gaither; Scott Goodrick; Bryn Elise Murphy; Neelam Poudyal

2015-01-01

This study explores the spatial association between social vulnerability and smoke plume dispersion at the census block group level for the 13 southern states in the USDA Forest Service’s Region 8. Using environmental justice as a conceptual basis, we use Exploratory Spatial Data Analysis to identify clusters or “hot spots” for the incidence of both higher than average...

Improving skill development: an exploratory study comparing a philosophical and an applied ethical analysis technique

NASA Astrophysics Data System (ADS)

Al-Saggaf, Yeslam; Burmeister, Oliver K.

2012-09-01

This exploratory study compares and contrasts two types of critical thinking techniques; one is a philosophical and the other an applied ethical analysis technique. The two techniques analyse an ethically challenging situation involving ICT that a recent media article raised to demonstrate their ability to develop the ethical analysis skills of ICT students and professionals. In particular the skill development focused on includes: being able to recognise ethical challenges and formulate coherent responses; distancing oneself from subjective judgements; developing ethical literacy; identifying stakeholders; and communicating ethical decisions made, to name a few.

Validation of an instrument to assess toddler feeding practices of Latino mothers.

PubMed

Chaidez, Virginia; Kaiser, Lucia L

2011-08-01

This paper describes qualitative and quantitative aspects of testing a 34-item Toddler-Feeding Questionnaire (TFQ), designed for use in Latino families, and the associations between feeding practices and toddler dietary outcomes. Qualitative methods included review by an expert panel for content validity and cognitive testing of the tool to assess face validity. Quantitative analyses included use of exploratory factor analysis for construct validity; Pearson's correlations for test-retest reliability; Cronbach's alpha (α) for internal reliability; and multivariate regression for investigating relationships between feeding practices and toddler diet and anthropometry. Interviews were conducted using a convenience sample of 94 Latino mother and toddler dyads obtained largely through the Supplemental Nutrition Program for Women, Infants and Children (WIC). Data collection included household characteristics, self-reported early-infant feeding practices, the toddler's dietary intake, and anthropometric measurements. Factor analysis suggests the TFQ contains three subscales: indulgent; authoritative; and environmental influences. The TFQ demonstrated acceptable reliability for most measures. As hypothesized, indulgent practices in Latino toddlers were associated with increased energy consumption and higher intakes of total fat, saturated fat, and sweetened beverages. This tool may be useful in future research exploring the relationship of toddler feeding practices to nutritional outcomes in Latino families. Copyright © 2011 Elsevier Ltd. All rights reserved.

Evidence assessing the diagnostic performance of medical smartphone apps: a systematic review and exploratory meta-analysis

PubMed Central

Buechi, Rahel; Faes, Livia; Bachmann, Lucas M; Thiel, Michael A; Bodmer, Nicolas S; Schmid, Martin K; Job, Oliver; Lienhard, Kenny R

2017-01-01

Objective The number of mobile applications addressing health topics is increasing. Whether these apps underwent scientific evaluation is unclear. We comprehensively assessed papers investigating the diagnostic value of available diagnostic health applications using inbuilt smartphone sensors. Methods Systematic Review—MEDLINE, Scopus, Web of Science inclusive Medical Informatics and Business Source Premier (by citation of reference) were searched from inception until 15 December 2016. Checking of reference lists of review articles and of included articles complemented electronic searches. We included all studies investigating a health application that used inbuilt sensors of a smartphone for diagnosis of disease. The methodological quality of 11 studies used in an exploratory meta-analysis was assessed with the Quality Assessment of Diagnostic Accuracy Studies 2 tool and the reporting quality with the ’STAndards for the Reporting of Diagnostic accuracy studies' (STARD) statement. Sensitivity and specificity of studies reporting two-by-two tables were calculated and summarised. Results We screened 3296 references for eligibility. Eleven studies, most of them assessing melanoma screening apps, reported 17 two-by-two tables. Quality assessment revealed high risk of bias in all studies. Included papers studied 1048 subjects (758 with the target conditions and 290 healthy volunteers). Overall, the summary estimate for sensitivity was 0.82 (95 % CI 0.56 to 0.94) and 0.89 (95 %CI 0.70 to 0.97) for specificity. Conclusions The diagnostic evidence of available health apps on Apple’s and Google’s app stores is scarce. Consumers and healthcare professionals should be aware of this when using or recommending them. PROSPERO registration number 42016033049. PMID:29247099

Primary Care Outcomes Questionnaire: psychometric testing of a new instrument.

PubMed

Murphy, Mairead; Hollinghurst, Sandra; Cowlishaw, Sean; Salisbury, Chris

2018-06-01

Patients attend primary care for many reasons and to achieve a range of possible outcomes. There is currently no Patient Reported Outcome Measure (PROM) designed to capture these diverse outcomes, and trials of interventions in primary care may thus fail to detect beneficial effects. This study describes the psychometric testing of the Primary Care Outcomes Questionnaire (PCOQ), which was designed to capture a broad range of outcomes relevant to primary care. Questionnaires were administered in primary care in South West England. Patients completed the PCOQ in GP waiting rooms before a consultation, and a second questionnaire, including the PCOQ and seven comparator PROMs, after 1 week. Psychometric testing included exploratory factor analysis on the PCOQ, internal consistency, correlation coefficients between domain scores and comparator measures, and repeated measures effect sizes indicating change across 1 week. In total, 602 patients completed the PCOQ at baseline, and 264 (44%) returned the follow-up questionnaire. Exploratory factor analysis suggested four dimensions underlying the PCOQ items: health and wellbeing, health knowledge and self-care, confidence in health provision, and confidence in health plan. Each dimension was internally consistent and correlated as expected with comparator PROMs, providing evidence of construct validity. Patients reporting an improvement in their main problem exhibited small to moderate improvements in relevant domain scores on the PCOQ. The PCOQ was acceptable, feasible, showed strong psychometric properties, and was responsive to change. It is a promising new tool for assessment of outcomes of primary care interventions from a patient perspective. © British Journal of General Practice 2018.

The 7-item generalized anxiety disorder scale as a tool for measuring generalized anxiety in multiple sclerosis.

PubMed

Terrill, Alexandra L; Hartoonian, Narineh; Beier, Meghan; Salem, Rana; Alschuler, Kevin

2015-01-01

Generalized anxiety disorder (GAD) is common in multiple sclerosis (MS) but understudied. Reliable and valid measures are needed to advance clinical care and expand research in this area. The objectives of this study were to examine the psychometric properties of the 7-item Generalized Anxiety Disorder Scale (GAD-7) in individuals with MS and to analyze correlates of GAD. Participants (N = 513) completed the anxiety module of the Patient Health Questionnaire (GAD-7). To evaluate psychometric properties of the GAD-7, the sample was randomly split to conduct exploratory and confirmatory factor analyses. Based on the exploratory factor analysis, a one-factor structure was specified for the confirmatory factor analysis, which showed excellent global fit to the data (χ(2) 12 = 15.17, P = .23, comparative fit index = 0.99, root mean square error of approximation = 0.03, standardized root mean square residual = 0.03). The Cronbach alpha (0.75) indicated acceptable internal consistency for the scale. Furthermore, the GAD-7 was highly correlated with the Hospital Anxiety and Depression Scale-Anxiety (r = 0.70). Age and duration of MS were both negatively associated with GAD. Higher GAD-7 scores were observed in women and individuals with secondary progressive MS. Individuals with higher GAD-7 scores also endorsed more depressive symptoms. These findings support the reliability and internal validity of the GAD-7 for use in MS. Correlational analyses revealed important relationships with demographics, disease course, and depressive symptoms, which suggest the need for further anxiety research.

The 7-Item Generalized Anxiety Disorder Scale as a Tool for Measuring Generalized Anxiety in Multiple Sclerosis

PubMed Central

Hartoonian, Narineh; Beier, Meghan; Salem, Rana; Alschuler, Kevin

2015-01-01

Background: Generalized anxiety disorder (GAD) is common in multiple sclerosis (MS) but understudied. Reliable and valid measures are needed to advance clinical care and expand research in this area. The objectives of this study were to examine the psychometric properties of the 7-item Generalized Anxiety Disorder Scale (GAD-7) in individuals with MS and to analyze correlates of GAD. Methods: Participants (N = 513) completed the anxiety module of the Patient Health Questionnaire (GAD-7). To evaluate psychometric properties of the GAD-7, the sample was randomly split to conduct exploratory and confirmatory factor analyses. Results: Based on the exploratory factor analysis, a one-factor structure was specified for the confirmatory factor analysis, which showed excellent global fit to the data (χ212 = 15.17, P = .23, comparative fit index = 0.99, root mean square error of approximation = 0.03, standardized root mean square residual = 0.03). The Cronbach alpha (0.75) indicated acceptable internal consistency for the scale. Furthermore, the GAD-7 was highly correlated with the Hospital Anxiety and Depression Scale–Anxiety (r = 0.70). Age and duration of MS were both negatively associated with GAD. Higher GAD-7 scores were observed in women and individuals with secondary progressive MS. Individuals with higher GAD-7 scores also endorsed more depressive symptoms. Conclusions: These findings support the reliability and internal validity of the GAD-7 for use in MS. Correlational analyses revealed important relationships with demographics, disease course, and depressive symptoms, which suggest the need for further anxiety research. PMID:25892974

Tailoring Systems Engineering Processes in a Conceptual Design Environment: A Case Study at NASA Marshall Spaceflight Center's ACO

NASA Technical Reports Server (NTRS)

Mulqueen, John; Maples, C. Dauphne; Fabisinski, Leo, III

2012-01-01

This paper provides an overview of Systems Engineering as it is applied in a conceptual design space systems department at the National Aeronautics and Space Administration (NASA) Marshall Spaceflight Center (MSFC) Advanced Concepts Office (ACO). Engineering work performed in the NASA MFSC's ACO is targeted toward the Exploratory Research and Concepts Development life cycle stages, as defined in the International Council on Systems Engineering (INCOSE) System Engineering Handbook. This paper addresses three ACO Systems Engineering tools that correspond to three INCOSE Technical Processes: Stakeholder Requirements Definition, Requirements Analysis, and Integration, as well as one Project Process Risk Management. These processes are used to facilitate, streamline, and manage systems engineering processes tailored for the earliest two life cycle stages, which is the environment in which ACO engineers work. The role of systems engineers and systems engineering as performed in ACO is explored in this paper. The need for tailoring Systems Engineering processes, tools, and products in the ever-changing engineering services ACO provides to its customers is addressed.

Relationship between location and activity in injurious falls: an exploratory study

PubMed Central

2010-01-01

Background Knowledge about the circumstances under which injurious falls occur could provide healthcare workers with better tools to prevent falls and fall-related injuries. Therefore, we assessed whether older persons who sustain an injurious fall can be classified into specific fall types, based on a combination of fall location and activity up to the moment of the fall. In addition, we assessed whether specific injurious fall types are related to causes of the fall, consequences of the fall, socio-demographic characteristics, and health-related characteristics. Methods An exploratory, cross-sectional study design was used to identify injurious fall types. The study population comprised 333 community-dwelling Dutch elderly people aged 65 years or over who attended an accident and emergency department after a fall. All participants received a self-administered questionnaire after being discharged home. The questionnaire comprised items concerning circumstances of the injurious fall, causes of the fall, consequences of the fall, socio-demographic characteristics and health-related characteristics. Injurious fall types were distinguished by analyzing data by means of HOMALS (homogeneity analysis by means of alternating least squares). Results We identified 4 injurious fall types: 1) Indoor falls related to lavatory visits (hall and bathroom); 2) Indoor falls during other activities of daily living; 3) Outdoor falls near the home during instrumental activities of daily living; 4) Outdoor falls away from home, occurring during walking, cycling, and shopping for groceries. These injurious fall types were significantly related to age, cause of the fall, activity avoidance and daily functioning. Conclusion The face validity of the injurious fall typology is obvious. However, we found no relationship between the injurious fall types and severity of the consequences of the fall. Nevertheless, there appears to be a difference between the prevalence of fractures and the cause of the fall between the injurious fall types. Our data suggests that with regard to prevention of serious injuries, we should pay special attention to outdoor fallers and indoor fallers during lavatory visits. In addition, we should have special attention for causes of the fall. However, the conclusions reached in this exploratory analysis are tentative and need to be validated in a separate dataset. PMID:20565871

Development and psychometric testing of Holistic Clinical Assessment Tool (HCAT) for undergraduate nursing students.

PubMed

Wu, Xi Vivien; Enskär, Karin; Pua, Lay Hoon; Heng, Doreen Gek Noi; Wang, Wenru

2016-09-22

A major focus in nursing education is on the judgement of clinical performance, and it is a complex process due to the diverse nature of nursing practice. A holistic approach in assessment of competency is advocated. Difficulties in the development of valid and reliable assessment measures in nursing competency have resulted in the development of assessment instruments with an increase in face and content validity, but few studies have tested these instruments psychometrically. It is essential to develop a holistic assessment tool to meet the needs of the clinical education. The study aims to develop a Holistic Clinical Assessment Tool (HCAT) and test its psychometric properties. The HCAT was developed based on the systematic literature review and the findings of qualitative studies. An expert panel was invited to evaluate the content validity of the tool. A total of 130 final-year nursing undergraduate students were recruited to evaluate the psychometric properties (i.e. factor structure, internal consistency and test-retest reliability) of the tool. The HCAT has good content validity with content validity index of .979. The exploratory factor analysis reveals a four-factor structure of the tool. The internal consistency and test-retest reliability of the HCAT are satisfactory with Cronbach alpha ranging from .789 to .965 and Intraclass Correlation Coefficient ranging from .881 to .979 for the four subscales and total scale. HCAT has the potential to be used as a valid measure to evaluate clinical competence in nursing students, and provide specific and ongoing feedback to enhance the holistic clinical learning experience. In addition, HCAT functions as a tool for self-reflection, peer-assessment and guides preceptors in clinical teaching and assessment.

Exploratory Factor Analysis and Psychometric Evaluation of the Teacher Reporting Attitude Scale for Child Sexual Abuse

ERIC Educational Resources Information Center

Walsh, Kerryann; Rassafiani, Mehdi; Mathews, Ben; Farrell, Ann; Butler, Des

2012-01-01

This paper presents an evaluation of an instrument to measure teachers' attitudes toward reporting child sexual abuse and discusses the instrument's merit for research into reporting practice. Based on responses from 444 Australian teachers, the Teachers' Reporting Attitude Scale for Child Sexual Abuse was evaluated using exploratory factor…

Development and Validation of the Personal Strengths Inventory Using Exploratory and Confirmatory Factor Analyses

ERIC Educational Resources Information Center

Liau, Albert Kienfie; Chow, Daryl; Tan, Teck Kiang; Senf, Konrad

2011-01-01

The purpose of this study was to establish the reliability and validity of the scores on a brief strengths-based assessment, the 22-item Personal Strengths Inventory (PSI). In Study 1, findings from exploratory factor analysis of 410 adolescents provided evidence for a five-factor solution--social competence (four items), emotional awareness (five…

An Exploratory Analysis of American Indian Children's Cultural Engagement, Fluid Cognitive Skills, and Standardized Verbal IQ Scores

ERIC Educational Resources Information Center

Tsethlikai, Monica

2011-01-01

This exploratory cross-sectional study examined fluid cognitive skills and standardized verbal IQ scores in relation to cultural engagement amongst Tohono O'odham children (N = 99; ages 7 to 12 years). Guardians with higher socioeconomic status engaged their children in more cultural activities, and participation in more cultural activities…

An Exploratory Analysis of Job and Life Satisfaction among Entrepreneurs.

ERIC Educational Resources Information Center

Lyons, Paul R.; DeCarlo, James F.

An exploratory study examined the job and life satisfaction of a sample of 32 female entrepreneurs residing in the tri-state area of Maryland, Pennsylvania, and West Virginia. To compare the entrepreneurs' concepts of life and job satisfaction to those of women in more traditional occupations, researchers also studied a sample of 32 female nursing…

Adoption of online health management tools among healthy older adults: An exploratory study.

PubMed

Zettel-Watson, Laura; Tsukerman, Dmitry

2016-06-01

As the population ages and chronic diseases abound, overburdened healthcare systems will increasingly require individuals to manage their own health. Online health management tools, quickly increasing in popularity, have the potential to diminish or even replace in-person contact with health professionals, but overall efficacy and usage trends are unknown. The current study explored perceptions and usage patterns among users of online health management tools, and identified barriers and barrier-breakers among non-users. An online survey was completed by 169 computer users (aged 50+). Analyses revealed that a sizable minority (37%) of participants use online health management tools and most users (89%) are satisfied with these tools, but a limited range of tools are being used and usage occurs in relatively limited domains. Improved awareness and education for online health management tools could enhance people's abilities to remain at home as they age, reducing the financial burden on formal assistance programs. © The Author(s) 2014.

Development and Validation of a Social Capital Questionnaire for Adolescent Students (SCQ-AS)

PubMed Central

Paiva, Paula Cristina Pelli; de Paiva, Haroldo Neves; de Oliveira Filho, Paulo Messias; Lamounier, Joel Alves; Ferreira, Efigênia Ferreira e; Ferreira, Raquel Conceição; Kawachi, Ichiro; Zarzar, Patrícia Maria

2014-01-01

Objectives Social capital has been studied due to its contextual influence on health. However, no specific assessment tool has been developed and validated for the measurement of social capital among 12-year-old adolescent students. The aim of the present study was to develop and validate a quick, simple assessment tool to measure social capital among adolescent students. Methods A questionnaire was developed based on a review of relevant literature. For such, searches were made of the Scientific Electronic Library Online, Latin American and Caribbean Health Sciences, The Cochrane Library, ISI Web of Knowledge, International Database for Medical Literature and PubMed Central bibliographical databases from September 2011 to January 2014 for papers addressing assessment tools for the evaluation of social capital. Focus groups were also formed by adolescent students as well as health, educational and social professionals. The final assessment tool was administered to a convenience sample from two public schools (79 students) and one private school (22 students), comprising a final sample of 101 students. Reliability and internal consistency were evaluated using the Kappa coefficient and Cronbach's alpha coefficient, respectively. Content validity was determined by expert consensus as well as exploratory and confirmatory factor analysis. Results The final version of the questionnaire was made up of 12 items. The total scale demonstrated very good internal consistency (Cronbach's alpha: 0.71). Reproducibility was also very good, as the Kappa coefficient was higher than 0.72 for the majority of items (range: 0.63 to 0.97). Factor analysis grouped the 12 items into four subscales: School Social Cohesion, School Friendships, Neighborhood Social Cohesion and Trust (school and neighborhood). Conclusions The present findings indicate the validity and reliability of the Social Capital Questionnaire for Adolescent Students. PMID:25093409

Multivariate Analysis and Modeling of Sediment Pollution Using Neural Network Models and Geostatistics

NASA Astrophysics Data System (ADS)

Golay, Jean; Kanevski, Mikhaïl

2013-04-01

The present research deals with the exploration and modeling of a complex dataset of 200 measurement points of sediment pollution by heavy metals in Lake Geneva. The fundamental idea was to use multivariate Artificial Neural Networks (ANN) along with geostatistical models and tools in order to improve the accuracy and the interpretability of data modeling. The results obtained with ANN were compared to those of traditional geostatistical algorithms like ordinary (co)kriging and (co)kriging with an external drift. Exploratory data analysis highlighted a great variety of relationships (i.e. linear, non-linear, independence) between the 11 variables of the dataset (i.e. Cadmium, Mercury, Zinc, Copper, Titanium, Chromium, Vanadium and Nickel as well as the spatial coordinates of the measurement points and their depth). Then, exploratory spatial data analysis (i.e. anisotropic variography, local spatial correlations and moving window statistics) was carried out. It was shown that the different phenomena to be modeled were characterized by high spatial anisotropies, complex spatial correlation structures and heteroscedasticity. A feature selection procedure based on General Regression Neural Networks (GRNN) was also applied to create subsets of variables enabling to improve the predictions during the modeling phase. The basic modeling was conducted using a Multilayer Perceptron (MLP) which is a workhorse of ANN. MLP models are robust and highly flexible tools which can incorporate in a nonlinear manner different kind of high-dimensional information. In the present research, the input layer was made of either two (spatial coordinates) or three neurons (when depth as auxiliary information could possibly capture an underlying trend) and the output layer was composed of one (univariate MLP) to eight neurons corresponding to the heavy metals of the dataset (multivariate MLP). MLP models with three input neurons can be referred to as Artificial Neural Networks with EXternal drift (ANNEX). Moreover, the exact number of output neurons and the selection of the corresponding variables were based on the subsets created during the exploratory phase. Concerning hidden layers, no restriction were made and multiple architectures were tested. For each MLP model, the quality of the modeling procedure was assessed by variograms: if the variogram of the residuals demonstrates pure nugget effect and if the level of the nugget exactly corresponds to the nugget value of the theoretical variogram of the corresponding variable, all the structured information has been correctly extracted without overfitting. Finally, it is worth mentioning that simple MLP models are not always able to remove all the spatial correlation structure from the data. In that case, Neural Network Residual Kriging (NNRK) can be carried out and risk assessment can be conducted with Neural Network Residual Simulations (NNRS). Finally, the results of the ANNEX models were compared to those of ordinary (co)kriging and (co)kriging with an external drift. It was shown that the ANNEX models performed better than traditional geostatistical algorithms when the relationship between the variable of interest and the auxiliary predictor was not linear. References Kanevski, M. and Maignan, M. (2004). Analysis and Modelling of Spatial Environmental Data. Lausanne: EPFL Press.

Decision Support and the Effectiveness of Web-based Delivery and Information Tailoring for Bowel Cancer Screening: An Exploratory Study

PubMed Central

Wilson, Carlene J; Zajac, Ian T; Hart, Elizabeth; McGillivray, Jane A

2012-01-01

Background Colorectal cancer (CRC) is the third most commonly diagnosed cancer in males and the second in females throughout the developed world. Population screening using fecal occult blood tests (FOBTs) facilitates early detection and greater chance of survival, but participation rates are low. We developed a Web-based decision tool to provide information tailored to an individual’s decision stage for CRC screening and attitude toward screening utilizing the Preventive Health Model (PHM) and Precaution Adoption Process Model (PAPM) as theoretical frameworks for screening behavior. We describe the practical steps employed in the tool’s design and the subsequent conduct of an exploratory study. Objective To design a decision tool for CRC screening and conduct an exploratory study among average-risk men and women to (1) test the impact of message type (tailored vs non-tailored) and message delivery modality (Web-based vs paper-based) on attitudes toward screening and screening uptake, and (2) investigate the acceptability of the decision tool and relevance of materials. Methods Participants (n = 100), recruited from a population sample of men and women aged 50-76 residing in urban Adelaide, Australia, were randomly assigned to a control group or one of 4 interventions: (1) Web-based and tailored information, (2) paper-based and tailored information, (3) Web-based and non-tailored (generic) information, or (4) paper-based and non-tailored information. Participation was augmented by snowball recruitment (n = 19). Questionnaires based on PHM variables were administered pre- and post-intervention. Participants were given the opportunity to request an FOBT. Following the intervention, participants discussed the acceptability of the tool. Results Full data were available for 87.4% (104/119) of participants. Post-intervention, perceived susceptibility scores for individuals receiving tailored information increased from mean 10.6 (SD 2.1) to mean 11.8 (SD 2.2). Scores on self-efficacy increased in the tailored group from mean 11.7 (SD 2.0) to mean 12.6 (SD 1.8). There were significant time x modality x message effects for social influence and salience and coherence, reflecting an increase in these scores for tailored Web-based participants only; social influence scores increased from mean 11.7 (SD 2.6) to mean 14.9 (SD 2.3), and salience and coherence scores increased from mean 16.0 (SD 2.2) to mean 17.7 (SD 2.1). There was no greater influence of modality or message type on movement toward a decision to screen or screening uptake, indicating that neither tailored messages nor a Web modality had superior effect. Overall, participants regarded tailored messages positively, but thought that the Web tool lacked “media richness.” Conclusions This exploratory study confirms that tailoring on PHM predictors of CRC screening has the potential to positively address attitudes toward screening. However, tailoring on these variables did not result in significantly increased screening uptake. Future research should consider other possible psychosocial influences. Mode of delivery did not affect outcomes, but as a delivery medium, the Web has economic and logistical advantages over paper. PMID:23611950

Lessons learned in Liberia: preliminary examination of the psychometric properties of trust and teamwork among maternal healthcare workers.

PubMed

Lori, Jody R; Munro, Michelle L; Moore, Jennifer E; Fladger, Jessica

2013-04-11

Post-conflict Liberia has one of the fastest growing populations on the continent and one of the highest maternal mortality rates among the world. However, in the rural regions, less than half of all births are attended by a skilled birth attendant. There is a need to evaluate the relationship between trained traditional healthcare providers and skilled birth attendants to improve maternal health outcomes. This evaluation must also take into consideration the needs and desires of the patients. The purpose of this pilot study was to establish the validity and reliability of a survey tool to evaluate trust and teamwork in the working relationships between trained traditional midwives and certified midwives in a post-conflict country. A previously established scale, the Trust and Teambuilding Scale, was used with non- and low-literate trained traditional midwives (n=48) in rural Liberia to evaluate trust and teamwork with certified midwives in their communities. Initial results indicated that the scale and response keys were culturally inadequate for this population. A revised version of the scale, the Trust and Teamwork Scale - Liberia, was created and administered to an additional group of non- and low-literate, trained traditional midwives (n=42). Exploratory factor analysis using Mplus for dichotomous variables was used to determine the psychometric properties of the revised scale and was then confirmed with the full sample (n=90). Additional analyses included contrast validity, convergent validity, and Kuder-Richardson reliability. Exploratory factor analysis revealed two factors in the revised Trust and Teamwork Scale - Liberia. These two factors, labeled trust and teamwork, included eleven of the original eighteen items used in the Trust and Teamwork Scale and demonstrated contrast and convergent validity and adequate reliability. The revised scale is suitable for use with non- and low-literate, trained traditional midwives in rural Liberia. Continued cross-cultural validation of tools is essential to ensure scale adequacy across populations. Future work should continue to evaluate the use of the Trust and Teamwork Scale - Liberia across cultures and additional work is needed to confirm the factor structure.

Seeking unique and common biological themes in multiple gene lists or datasets: pathway pattern extraction pipeline for pathway-level comparative analysis.

PubMed

Yi, Ming; Mudunuri, Uma; Che, Anney; Stephens, Robert M

2009-06-29

One of the challenges in the analysis of microarray data is to integrate and compare the selected (e.g., differential) gene lists from multiple experiments for common or unique underlying biological themes. A common way to approach this problem is to extract common genes from these gene lists and then subject these genes to enrichment analysis to reveal the underlying biology. However, the capacity of this approach is largely restricted by the limited number of common genes shared by datasets from multiple experiments, which could be caused by the complexity of the biological system itself. We now introduce a new Pathway Pattern Extraction Pipeline (PPEP), which extends the existing WPS application by providing a new pathway-level comparative analysis scheme. To facilitate comparing and correlating results from different studies and sources, PPEP contains new interfaces that allow evaluation of the pathway-level enrichment patterns across multiple gene lists. As an exploratory tool, this analysis pipeline may help reveal the underlying biological themes at both the pathway and gene levels. The analysis scheme provided by PPEP begins with multiple gene lists, which may be derived from different studies in terms of the biological contexts, applied technologies, or methodologies. These lists are then subjected to pathway-level comparative analysis for extraction of pathway-level patterns. This analysis pipeline helps to explore the commonality or uniqueness of these lists at the level of pathways or biological processes from different but relevant biological systems using a combination of statistical enrichment measurements, pathway-level pattern extraction, and graphical display of the relationships of genes and their associated pathways as Gene-Term Association Networks (GTANs) within the WPS platform. As a proof of concept, we have used the new method to analyze many datasets from our collaborators as well as some public microarray datasets. This tool provides a new pathway-level analysis scheme for integrative and comparative analysis of data derived from different but relevant systems. The tool is freely available as a Pathway Pattern Extraction Pipeline implemented in our existing software package WPS, which can be obtained at http://www.abcc.ncifcrf.gov/wps/wps_index.php.