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Pere J. Ferrando; David Navarro-González; Urbano Lorenzo-Seva – Educational and Psychological Measurement, 2024
Descriptive fit indices that do not require a formal statistical basis and do not specifically depend on a given estimation criterion are useful as auxiliary devices for judging the appropriateness of unrestricted or exploratory factor analytical (UFA) solutions, when the problem is to decide the most appropriate number of common factors. While…
Descriptors: Factor Analysis, Item Analysis, Effect Size, Goodness of Fit
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Gregory H. Peterson; Michael B. Kozlowski – Measurement and Evaluation in Counseling and Development, 2024
This study aimed to develop a scale to assess counselors' ability to provide counseling to address the mental health impacts of climate change. Over three studies, we provide reliability and validity evidence for a Climate Change Counseling Scale (3CS) in a large representative sample of counselors across the US. In study one and two, an…
Descriptors: Counselors, Mental Health, Climate, Test Construction
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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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Lawrence Scahill; Luc Lecavalier; Michael C. Edwards; Megan L. Wenzell; Leah M. Barto; Arielle Mulligan; Auscia T. Williams; Opal Ousley; Cynthia B. Sinha; Christopher A. Taylor; Soo Youn Kim; Laura M. Johnson; Scott E. Gillespie; Cynthia R. Johnson – Autism: The International Journal of Research and Practice, 2024
This report presents a new parent-rated outcome measure of insomnia for children with autism spectrum disorder. Parents of 1185 children with autism spectrum disorder (aged 3-12; 80.3% male) completed the first draft of the measure online. Factor and item response theory analyses reduced the set of 40 items to the final 21-item Pediatric Insomnia…
Descriptors: Autism Spectrum Disorders, Children, Sleep, Test Construction
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Stephanie M. Bell; R. Philip Chalmers; David B. Flora – Educational and Psychological Measurement, 2024
Coefficient omega indices are model-based composite reliability estimates that have become increasingly popular. A coefficient omega index estimates how reliably an observed composite score measures a target construct as represented by a factor in a factor-analysis model; as such, the accuracy of omega estimates is likely to depend on correct…
Descriptors: Influences, Models, Measurement Techniques, Reliability
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Hoang V. Nguyen; Niels G. Waller – Educational and Psychological Measurement, 2024
We conducted an extensive Monte Carlo study of factor-rotation local solutions (LS) in multidimensional, two-parameter logistic (M2PL) item response models. In this study, we simulated more than 19,200 data sets that were drawn from 96 model conditions and performed more than 7.6 million rotations to examine the influence of (a) slope parameter…
Descriptors: Monte Carlo Methods, Item Response Theory, Correlation, Error of Measurement
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Meike Akveld; George Kinnear – International Journal of Mathematical Education in Science and Technology, 2024
Many universities use diagnostic tests to assess incoming students' preparedness for mathematics courses. Diagnostic test results can help students to identify topics where they need more practice and give lecturers a summary of strengths and weaknesses in their class. We demonstrate a process that can be used to make improvements to a mathematics…
Descriptors: Mathematics Tests, Diagnostic Tests, Test Items, Item Analysis
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Mahdi Ghorbankhani; Keyvan Salehi – SAGE Open, 2025
Academic procrastination, the tendency to delay academic tasks without reasonable justification, has significant implications for students' academic performance and overall well-being. To measure this construct, numerous scales have been developed, among which the Academic Procrastination Scale (APS) has shown promise in assessing academic…
Descriptors: Psychometrics, Measures (Individuals), Time Management, Foreign Countries
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Markus T. Jansen; Ralf Schulze – Educational and Psychological Measurement, 2024
Thurstonian forced-choice modeling is considered to be a powerful new tool to estimate item and person parameters while simultaneously testing the model fit. This assessment approach is associated with the aim of reducing faking and other response tendencies that plague traditional self-report trait assessments. As a result of major recent…
Descriptors: Factor Analysis, Models, Item Analysis, Evaluation Methods
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Brahim Nehass; Jalal Ismaili; Ghizlane Merzaq; Abdelmounim Kiouach; Abderrahim Bounaissat; Benaissa Zarhbouch – Psychology in the Schools, 2025
The process of decision-making is a multifaceted cognitive endeavor encompassing various cognitive, emotional, psychological, and social processes. It empowers individuals to select from a range of alternatives. Its significance spans across age groups, impacting both adults and children, and the relevance of which goes beyond aiding learners in…
Descriptors: Decision Making, High School Students, Rating Scales, Psychometrics
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Kübra Yigit Tekel; Melike Sule Yildiz; Duygu Mutlu Bayraktar; Marilena Zinovia Leana Tascilar – International Journal of Assessment Tools in Education, 2024
This study aimed to develop a valid and reliable measurement tool to determine the anxiety levels of parents with gifted children. The participants were selected using a convenient sampling method. The sample of this study consisted of 550 parents of gifted middle school students attending 12 Science and Art Centers throughout Turkey in the…
Descriptors: Anxiety, Parent Attitudes, Rating Scales, Gifted
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Seyda Aydin-Karaca; Mustafa Serdar Köksal; Bilkay Bi – Journal of Psychoeducational Assessment, 2024
This study aimed to develop a parent rating scale (PRSG) for screening children for further identification process in terms of giftedness. The participants of the study were 255 parents of gifted and non-gifted students. The PRSG, consisting of 30 items, was created by consulting parents and reviewing instruments existent in the literature. As…
Descriptors: Rating Scales, Parent Attitudes, Scores, Comparative Analysis
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E. Damiano D'Urso; Jesper Tijmstra; Jeroen K. Vermunt; Kim De Roover – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Measurement invariance (MI) is required for validly comparing latent constructs measured by multiple ordinal self-report items. Non-invariances may occur when disregarding (group differences in) an acquiescence response style (ARS; an agreeing tendency regardless of item content). If non-invariance results solely from neglecting ARS, one should…
Descriptors: Error of Measurement, Structural Equation Models, Construct Validity, Measurement Techniques
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Shivam Kumar; Shridhar Patil; Anil Paswan; Swaraj Kumar Dutta; R. K. Sohane – Journal of Agricultural Education and Extension, 2024
Purpose: The study was aimed at measuring farmers' helpline services quality in India using a standardized multi-factor scale (HELPQUAL) developed as part of this study. Design/methodology/approach: The present study is based on 360 farmers' and 45 experts' responses gathered using telephonic interviews and mailed questionnaires during the year…
Descriptors: Agricultural Occupations, Help Seeking, Counseling Services, Rural Extension
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Yalalem Assefa; Bekalu Tadesse Moges; Shouket Ahmad Tilwani – Journal of Applied Research in Higher Education, 2024
Purpose: Lifelong learning has become one of the most interesting areas of research. Hence, the current study was aimed at developing and validating a tool that helps to study how well people working in higher education institutions are engaged in lifelong learning. Design/methodology/approach: A review of theories in the literature and experts'…
Descriptors: Lifelong Learning, Measures (Individuals), Likert Scales, Test Construction
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