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Analyzing Multivariate Generalizability Theory Designs within Structural Equation Modeling Frameworks
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Walter P. Vispoel; Hyeryung Lee; Hyeri Hong – Structural Equation Modeling: A Multidisciplinary Journal, 2024
We demonstrate how to analyze complete multivariate generalizability theory (GT) designs within structural equation modeling frameworks that encompass both individual subscale scores and composites formed from those scores. Results from numerous analyses of observed scores obtained from respondents who completed the recently updated form of the…
Descriptors: Structural Equation Models, Multivariate Analysis, Generalizability Theory, College Students
Latent Variable Analysis in Person-Oriented Research--Serial Dependence
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Alexander von Eye; Wolfgang Wiedermann – Merrill-Palmer Quarterly: A Peer Relations Journal, 2024
In this article, we pursue two points of discussion. First, a new illustration is presented of the person-oriented tenet according to which it can be hazardous to generalize to the individual results that are based on the analysis of aggregated data. Second, it is illustrated that taking into account serial dependence information can result in not…
Descriptors: Research Methodology, Generalizability Theory, Generalization, Multivariate Analysis
Benefits of Doing Generalizability Theory Analyses within Structural Equation Modeling Frameworks: Illustrations Using the Rosenberg Self-Esteem Scale
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Walter P. Vispoel; Hyeri Hong; Hyeryung Lee – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Although generalizability theory (GT) designs typically are analyzed using analysis of variance (ANOVA) procedures, they also can be integrated into structural equation models (SEMs). In this tutorial, we review basic concepts for conducting univariate and multivariate GT analyses and demonstrate advantages of doing such analyses within SEM…
Descriptors: Structural Equation Models, Self Concept Measures, Self Esteem, Generalizability Theory