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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
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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
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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
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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
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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
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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
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Loken, Eric – Measurement: Interdisciplinary Research and Perspectives, 2012
Von Davier, Naemi, and Roberts (this issue) present a nice summary of the statistical ambiguity often encountered in making distinctions between qualitative and quantitative constructs. In this commentary, the author begins with two broad points. The first is that the mixture/factor arguments are most intriguing when firmly embedded in a…
Descriptors: Models, Statistical Analysis, Classification, Goodness of Fit
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Samuelsen, Karen – Measurement: Interdisciplinary Research and Perspectives, 2012
The notion that there is often no clear distinction between factorial and typological models (von Davier, Naemi, & Roberts, this issue) is sound. As von Davier et al. state, theory often indicates a preference between these models; however the statistical criteria by which these are delineated offer much less clarity. In many ways the procedure…
Descriptors: Models, Statistical Analysis, Classification, Factor Structure
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Widaman, Keith F.; Grimm, Kevin J. – Measurement: Interdisciplinary Research and Perspectives, 2009
Nesselroade, Gerstorf, Hardy, and Ram developed a new and interesting way to enforce invariance at the second-order level in P-technique models, while allowing first-order structure to stray from invariance. We discuss our concerns with this approach under the headings of falsifiability, the nature of manifest variables included in models, and…
Descriptors: Factor Structure, Models, Factor Analysis, Comparative Analysis
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Maraun, Michael D.; Halpin, Peter F. – Measurement: Interdisciplinary Research and Perspectives, 2008
The clue to what latent variable models are, and to a workable account of the basis for the traditional manifest/latent variable distinction, lies in a reconsideration of the indeterminacy property of linear factor structures. In this article, the authors contend that latent variable models are not detectors of unobservable latent structures,…
Descriptors: Measurement, Statistics, Factor Structure, Models
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Borsboom, Denny; Dolan, Conor V. – Measurement: Interdisciplinary Research and Perspectives, 2007
Nesselroade, Gerstorf, Hardy, and Ram (this issue) propose to "filter out" idiosyncrasies of dynamic processes at the level of the individual through the application of dynamic factor analysis. The problem that they deal with is that individuals may differ in the items that are "salient" for a given construct, so that the same measurement model…
Descriptors: Factor Structure, Factor Analysis, Individual Differences, Models
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Borkenau, Peter – Measurement: Interdisciplinary Research and Perspectives, 2007
In, "Idiographic Filters for Psychological Constructs," Nesselroade, Gerstorf, Hardy, and Ram study patterns of variation within individuals. In this context they make an important suggestion: to test for invariant relations among latent variables, but to allow the relations between these latent variables and their indicators to vary between…
Descriptors: Psychological Studies, Psychologists, Factor Analysis, Psychology