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Eugenia L. Weiss; Stewart I. Donaldson; Adrian Reece – Journal of American College Health, 2025
Objective: The study sought to test whether well-being predicts academic performance for student service members/veterans (SSM/Vs) and to assess the factor structure of the PERMA + 4 measurement scale for use in this student population. Participants: Post-9/11 SSM/Vs (N = 199) from seven colleges and universities in the U.S. completed an online…
Descriptors: Well Being, Predictor Variables, Academic Achievement, Veterans
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Ishfaq Majid; Y. Vijaya Lakshmi – Online Submission, 2024
The models of E-learning Readiness (ELR) are basically designed to understand the process of obtaining the basic information necessary for measuring ELR among participants. They help organizations to identify the requirements for designing, developing and implementing E-learning. These models not only help the organizations to identify the degree…
Descriptors: Electronic Learning, Models, Readiness, Content Analysis
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Turhan, A.; Roest, J. J.; Delforterie, M. J.; Van der Helm, G. H. P.; Neimeijer, E. G.; Didden, R. – Journal of Applied Research in Intellectual Disabilities, 2024
Background: In secure residential facilities, group climate perceptions of clients with mild intellectual disability or borderline intellectual functioning are systematically assessed for quality improvement. A valid and reliable measure may ensure that this process is consistent. The Group Climate Inventory--Revised (GCI-R) is a new measure to…
Descriptors: Psychometrics, Adults, Test Construction, Mild Intellectual Disability
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Christine E. Pacewicz; Christopher R. Hill; Haeyong Chun; Nicholas D. Myers – Measurement in Physical Education and Exercise Science, 2024
Confirmatory factor analysis (CFA) is a commonly used statistical technique. Recommendations for evaluating CFA highlight scholars should outline the expected model, conduct data screening, report model estimation and evaluation, and report key information about results to provide evidence for latent variables. The purpose of the current study was…
Descriptors: Factor Analysis, Physical Education, Exercise, Kinesiology
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Jingwen Wang; Xiaohong Yang; Dujuan Liu – International Journal of Web-Based Learning and Teaching Technologies, 2024
The large scale expansion of online courses has led to the crisis of course quality issues. In this study, we first established an evaluation index system for online courses using factor analysis, encompassing three key constructs: course resource construction, course implementation, and teaching effectiveness. Subsequently, we employed factor…
Descriptors: Educational Quality, Online Courses, Course Evaluation, Models
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Jerry Dixon; Joan Tiernan – British Journal of Guidance & Counselling, 2024
This field research was designed to establish what components contribute to the construct of job-seeking self-efficacy (JSSE). 430 active job seekers (219 males, 204 females, 7 non-disclosed) in Ireland volunteered to participate in a survey compiled from previously published sources. A 15-item scale for JSSE was reduced to 8 items (2 factors)…
Descriptors: Foreign Countries, Job Applicants, Self Efficacy, Factor Analysis
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Karl Schweizer; Andreas Gold; Dorothea Krampen; Stefan Troche – Educational and Psychological Measurement, 2024
Conceptualizing two-variable disturbances preventing good model fit in confirmatory factor analysis as item-level method effects instead of correlated residuals avoids violating the principle that residual variation is unique for each item. The possibility of representing such a disturbance by a method factor of a bifactor measurement model was…
Descriptors: Correlation, Factor Analysis, Measurement Techniques, Item Analysis
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Sara Dhaene; Yves Rosseel – Structural Equation Modeling: A Multidisciplinary Journal, 2024
In confirmatory factor analysis (CFA), model parameters are usually estimated by iteratively minimizing the Maximum Likelihood (ML) fit function. In optimal circumstances, the ML estimator yields the desirable statistical properties of asymptotic unbiasedness, efficiency, normality, and consistency. In practice, however, real-life data tend to be…
Descriptors: Factor Analysis, Factor Structure, Maximum Likelihood Statistics, Computation
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Liu, Xiaoling; Cao, Pei; Lai, Xinzhen; Wen, Jianbing; Yang, Yanyun – Educational and Psychological Measurement, 2023
Percentage of uncontaminated correlations (PUC), explained common variance (ECV), and omega hierarchical ([omega]H) have been used to assess the degree to which a scale is essentially unidimensional and to predict structural coefficient bias when a unidimensional measurement model is fit to multidimensional data. The usefulness of these indices…
Descriptors: Correlation, Measurement Techniques, Prediction, Regression (Statistics)
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Proudfoot, Kevin – Journal of Mixed Methods Research, 2023
Inductive/deductive hybrid thematic analysis offers significant opportunities for researchers, but its application within integrative mixed methods research has yet to be fully explored. Firstly, this article contributes by demonstrating the compatibility of inductive/deductive hybrid thematic analysis with quantitative work in a mixed methods…
Descriptors: Mixed Methods Research, Research Methodology, Logical Thinking, Philosophy
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Kiliç, Abdullah Faruk; Koyuncu, Ilhan; Uysal, Ibrahim – International Journal of Psychology and Educational Studies, 2023
Classical test theory (CTT) and item response theory (IRT) are two fundamental approaches used in scale development research. Although CTT is the preferred methodology in scale development research in the Republic of Turkey, the IRT methodology has started to gain traction in recent years. In this study, we used the systematic review methodology…
Descriptors: Test Construction, Item Response Theory, Literature Reviews, Foreign Countries
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Myers, Nicholas D.; Pacewicz, Christine E.; Hill, Christopher R; Chun, Haeyong – Measurement in Physical Education and Exercise Science, 2023
Factor analysis of ordered categorical indicators in kinesiology is pervasive. However, some assumptions made regarding the indicators within methods commonly used in this research may increase analytic errors. Methods that relax these assumptions have been available for decades, but uptake has been slow. Therefore, the methodological focus of…
Descriptors: Factor Analysis, Self Efficacy, Measurement, Physical Activities
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Marcusson-Clavertz, David; Persson, Stefan D.; Cardeña, Etzel; Terhune, Devin B.; Gort, Cassandra; Kuehner, Christine – Cognitive Research: Principles and Implications, 2022
Accumulating evidence suggests that individuals with greater executive resources spend less time mind wandering. Independent strands of research further suggest that this association depends on concentration and a guilty-dysphoric daydreaming style. However, it remains unclear whether this association is specific to particular features of…
Descriptors: Executive Function, Attention Control, Factor Analysis, Cognitive Processes
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Lingbo Tong; Wen Qu; Zhiyong Zhang – Grantee Submission, 2025
Factor analysis is widely utilized to identify latent factors underlying the observed variables. This paper presents a comprehensive comparative study of two widely used methods for determining the optimal number of factors in factor analysis, the K1 rule, and parallel analysis, along with a more recently developed method, the bass-ackward method.…
Descriptors: Factor Analysis, Monte Carlo Methods, Statistical Analysis, Sample Size
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Behçet Oral; Nese Dokumaci-Sütçü – Journal of Theoretical Educational Science, 2025
The aim of this study is to develop a valid and reliable scale to measure the time traps teachers fall into during the teaching-learning process. The sample consists of 234 final-year students continuing their education at the Faculty of Education in the first implementation and 233 pedagogical formation students in the second implementation.…
Descriptors: Test Construction, Time Management, Test Validity, Test Reliability
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