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Bilge Bal-Sezerel; Deniz Arslan; Ugur Sak – Measurement: Interdisciplinary Research and Perspectives, 2025
In this study, the factorial invariance of the ASIS (Anadolu-Sak Intelligence Scale) was examined across time. Data were obtained from there groups of first-grade students who were administered the ASIS in 2020, 2021, and 2022. The analyses were conducted using multisample confirmatory factor analyses. Factorial invariance was tested with six…
Descriptors: Intelligence Tests, Grade 1, Factor Structure, Scores
Abdullah Faruk Kiliç; Meltem Acar Güvendir; Gül Güler; Tugay Kaçak – Measurement: Interdisciplinary Research and Perspectives, 2025
In this study, the extent to wording effects impact structure and factor loadings, internal consistency and measurement invariance was outlined. The modified form, which includes items that semantically reversed, explains %21.5 more variance than the original form. Also, reversed items' factor loadings are higher. As a result of CFA, indexes…
Descriptors: Test Items, Factor Structure, Test Reliability, Semantics
Timothy R. Konold; Elizabeth A. Sanders – Measurement: Interdisciplinary Research and Perspectives, 2024
Compared to traditional confirmatory factor analysis (CFA), exploratory structural equation modeling (ESEM) has been shown to result in less structural parameter bias when cross-loadings (CLs) are present. However, when model fit is reasonable for CFA (over ESEM), CFA should be preferred on the basis of parsimony. Using simulations, the current…
Descriptors: Structural Equation Models, Factor Analysis, Factor Structure, Goodness of Fit
Matthias Winfried Kleespies; Viktoria Feucht; Til Jonas Tille; Alina Miriam Bambach; Eva Gricar; Maximilian Claus; Michael Matthias Günther Konertz; Laura Kokott; Valentin Rupp; Valentin Bergmann; Volker Wenzel; Paul Wilhelm Dierkes – Measurement: Interdisciplinary Research and Perspectives, 2024
Human pro-environmental behavior in the private sphere is an important factor which influences nature and the environment and thus can contribute to the management of environmental problems. Although there are a variety of self-reported measurement tools for pro-environmental behavior, an established and validated measurement instrument for…
Descriptors: Ecology, Conservation (Environment), Test Construction, Behavior
Kim, Seohyun; Lu, Zhenqiu; Cohen, Allan S. – Measurement: Interdisciplinary Research and Perspectives, 2018
Bayesian algorithms have been used successfully in the social and behavioral sciences to analyze dichotomous data particularly with complex structural equation models. In this study, we investigate the use of the Polya-Gamma data augmentation method with Gibbs sampling to improve estimation of structural equation models with dichotomous variables.…
Descriptors: Bayesian Statistics, Structural Equation Models, Computation, Social Science Research
Weeks, Jonathan P. – Measurement: Interdisciplinary Research and Perspectives, 2018
Vertical scales are widely used in educational assessment as a basis for considering grade-to-grade changes in student performance. Typically, the underlying construct is assumed to be essentially unidimensional; however, if there is a change in the measured construct across grades, this assumption may be untenable. Developing a multidimensional…
Descriptors: Multidimensional Scaling, Reading Tests, Reading Skills, Basic Skills