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Showing 1 to 15 of 27 results Save | Export
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Riana Nurhayati; Suranto Aw; Siti Irene Astuti Dwiningrum; Mami Hajaroh; Herwin Herwin – International Journal of Educational Methodology, 2024
Evaluation of child-friendly school (CFS) policies is essential to determine the achievements of school efforts in reducing violence cases. This research aims to proving the reliability and validity of CFS policy evaluation instruments in elementary schools with different locations. This investigation uses the Context Input Process Product (CIPP)…
Descriptors: Validity, Reliability, School Policy, Program Evaluation
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Ryan M. Cook; Stefanie A. Wind – Measurement and Evaluation in Counseling and Development, 2024
The purpose of this article is to discuss reliability and precision through the lens of a modern measurement approach, item response theory (IRT). Reliability evidence in the field of counseling is primarily generated using Classical Test Theory (CTT) approaches, although recent studies in the field of counseling have shown the benefits of using…
Descriptors: Item Response Theory, Measurement, Reliability, Accuracy
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Timothy R. Konold; Elizabeth A. Sanders – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Within the frequentist structural equation modeling (SEM) framework, adjudicating model quality through measures of fit has been an active area of methodological research. Complicating this conversation is research revealing that a higher quality measurement portion of a SEM can result in poorer estimates of overall model fit than lower quality…
Descriptors: Structural Equation Models, Reliability, Bayesian Statistics, Goodness of Fit
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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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Xijuan Zhang; Hao Wu – Structural Equation Modeling: A Multidisciplinary Journal, 2024
A full structural equation model (SEM) typically consists of both a measurement model (describing relationships between latent variables and observed scale items) and a structural model (describing relationships among latent variables). However, often researchers are primarily interested in testing hypotheses related to the structural model while…
Descriptors: Structural Equation Models, Goodness of Fit, Robustness (Statistics), Factor Structure
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Joseph A. Rios; Jiayi Deng – Educational and Psychological Measurement, 2025
To mitigate the potential damaging consequences of rapid guessing (RG), a form of noneffortful responding, researchers have proposed a number of scoring approaches. The present simulation study examines the robustness of the most popular of these approaches, the unidimensional effort-moderated (EM) scoring procedure, to multidimensional RG (i.e.,…
Descriptors: Scoring, Guessing (Tests), Reaction Time, Item Response Theory
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Tenko Raykov – Educational and Psychological Measurement, 2024
This note is concerned with the benefits that can result from the use of the maximal reliability and optimal linear combination concepts in educational and psychological research. Within the widely used framework of unidimensional multi-component measuring instruments, it is demonstrated that the linear combination of their components that…
Descriptors: Educational Research, Behavioral Science Research, Reliability, Error of Measurement
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Cátia Marques; Íris M. Oliveira; Jaisso Vautero; Ana Daniela Silva – International Journal for Educational and Vocational Guidance, 2024
This study examined the psychometric properties of the Career Adapt-Abilities Scale in a Lebanese sample. The study includes 236 Lebanese citizens (54.2% women; M[subscript age] = 30.14). Confirmatory factor analyses indicated that a hierarchical model yielded a good fit, with the CAAS measuring four distinct dimensions that can be combined in a…
Descriptors: Psychometrics, Career Development, Factor Analysis, Goodness of Fit
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Daniel McNeish; Melissa G. Wolf – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Despite the popularity of traditional fit index cutoffs like RMSEA [less than or equal to] 0.06 and CFI [greater than or equal to] 0.95, several studies have noted issues with overgeneralizing traditional cutoffs. Computational methods have been proposed to avoid overgeneralization by deriving cutoffs specifically tailored to the characteristics…
Descriptors: Structural Equation Models, Cutting Scores, Generalizability Theory, Error of Measurement
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Raven Bureau; Marie Riebel; Luisa Weiner; Romain Coutelle; Julie Dachez; Céline Clément – Journal of Autism and Developmental Disorders, 2024
Purpose: Autistic camouflaging is a collection of strategies used to hide autistic characteristics. It can have serious consequences on autistic people's mental health and needs to be addressed and measured in clinical practice. The purpose of this study is to evaluate the psychometric properties of the French adaptation of the Camouflaging…
Descriptors: Autism Spectrum Disorders, Symptoms (Individual Disorders), Mental Health, Psychometrics
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Bang Quan Zheng; Peter M. Bentler – Structural Equation Modeling: A Multidisciplinary Journal, 2025
This paper aims to advocate for a balanced approach to model fit evaluation in structural equation modeling (SEM). The ongoing debate surrounding chi-square test statistics and fit indices has been characterized by ambiguity and controversy. Despite the acknowledged limitations of relying solely on the chi-square test, its careful application can…
Descriptors: Monte Carlo Methods, Structural Equation Models, Goodness of Fit, Robustness (Statistics)
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Elizabeth B. Vaughan; A. Montoya-Cowan; Jack Barbera – Chemistry Education Research and Practice, 2024
The Meaningful Learning in the Laboratory Instrument (MLLI) was designed to measure students' expectations before and after their laboratory courses and experiences. Although the MLLI has been used in various studies and laboratory environments to investigate students' cognitive and affective laboratory expectations, the authors of the instrument…
Descriptors: Test Validity, Test Reliability, Expectation, Measures (Individuals)
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Osman Soner; Olcay Yilmaz – International Journal of Psychology and Educational Studies, 2024
The aim of this study was to develop a novel assessment tool utilizing Schlossberg's 4S model (Situation, Self, Support, and Strategies), with a specific focus on assessing the career transition of high school senior students to university. The study group consisted of high school students from five different high schools. The pilot and trial…
Descriptors: High School Seniors, College Freshmen, Factor Analysis, Measures (Individuals)
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Achmad Rante Suparman; Eli Rohaeti; Sri Wening – Journal on Efficiency and Responsibility in Education and Science, 2024
This study focuses on developing a five-tier chemical diagnostic test based on a computer-based test with 11 assessment categories with an assessment score from 0 to 10. A total of 20 items produced were validated by education experts, material experts, measurement experts, and media experts, and an average index of the Aiken test > 0.70 was…
Descriptors: Chemistry, Diagnostic Tests, Computer Assisted Testing, Credits
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Anders Holm; Anders Hjorth-Trolle; Robert Andersen – Sociological Methods & Research, 2025
Lagged dependent variables (LDVs) are often used as predictors in ordinary least squares (OLS) models in the social sciences. Although several estimators are commonly employed, little is known about their relative merits in the presence of classical measurement error and different longitudinal processes. We assess the performance of four commonly…
Descriptors: Elementary Education, Scores, Error of Measurement, Predictor Variables
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