Complex Latent Variable Modeling in Educational Assessment |
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| Authors: | Jean-Paul Fox Maarten Marsman Joris Mulder Josine Verhagen |
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| Institution: | 1. Department of Research Methodology, Measurement and Data Analysis, University of Twente, The Netherlands;2. Department of Methodology and Statistics, Tilburg University, The Netherlands;3. Department of Psychological Methods, University of Amsterdam, The Netherlands |
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| Abstract: | Bayesian item response theory models have been widely used in different research fields. They support measuring constructs and modeling relationships between constructs, while accounting for complex test situations (e.g., complex sampling designs, missing data, heterogenous population). Advantages of this flexible modeling framework together with powerful simulation-based estimation techniques are discussed. Furthermore, it is shown how the Bayes factor can be used to test relevant hypotheses in assessment using the College Basic Academic Subjects Examination (CBASE) data. |
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| Keywords: | Bayes factor Bayesian modeling Latent variable models MCMC |
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