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Complex latent variable modeling in educational assessment

Fox,J.-P.
; 
Marsman,M.
; 
Mulder,J.
; 
Verhagen,J.A.
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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2016
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Tilburg University Research Output Collection
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Fox, J-P, Marsman, M, Mulder, J & Verhagen, J A 2016, 'Complex latent variable modeling in educational assessment', Communications in Statistics: Part B: Simulation and Computation, vol. 45, no. 5, pp. 1499-1510. https://doi.org/10.1080/03610918.2014.939518
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https://hdl.handle.net/20.500.14602/64143
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