Complex Latent Variable Modeling in Educational Assessment

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 o...

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Published inCommunications in statistics. Simulation and computation Vol. 45; no. 5; pp. 1499 - 1510
Main Authors Fox, Jean-Paul, Marsman, Maarten, Mulder, Joris, Verhagen, Josine
Format Journal Article
LanguageEnglish
Published Philadelphia Taylor & Francis 27.05.2016
Taylor & Francis Ltd
Subjects
6207
Accounting
Assessments
Bayes factor
Bayesian analysis
Bayesian modeling
Computer simulation
Construction
Economic models
Education
Educational evaluation
Latent variable models
Mathematical models
MCMC
Monte Carlo simulation
Sampling
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ISSN0361-0918
1532-4141
1532-4141
DOI10.1080/03610918.2014.939518

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Summary: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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ISSN:0361-0918
1532-4141
1532-4141
DOI:10.1080/03610918.2014.939518