Complex Latent Variable Modeling in Educational Assessment

DOI10.1080/03610918.2014.939518zbMath1383.62320OpenAlexW2320037963MaRDI QIDQ2816674

Joris Mulder, Jean-Paul Fox, Maarten Marsman, Josine Verhagen

Publication date: 25 August 2016

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2014.939518

zbMATH Keywords

Bayes factorMCMClatent variable modelsBayesian modeling

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Bayesian inference (62F15) Applications of statistics to psychology (62P15)

Cites Work

• Bayesianly justifiable and relevant frequency calculations for the applied statistician
• Bayesian item response modeling. Theory and applications.
• Random item IRT models
• Prior adjusted default Bayes factors for testing (in)equality constrained hypotheses
• A Bayesian generalized multiple group IRT model with model-fit assessment tools
• Bayesian analysis of dynamic item response models in educational testing
• Bayesian estimation of a multilevel IRT model using Gibbs sampling
• Bayesian model selection of informative hypotheses for repeated measurements
• Prior Distributions for Item Parameters in IRT Models
• The Weighted Likelihood Ratio, Linear Hypotheses on Normal Location Parameters
• Bayesian Inference for Logistic Models Using Pólya–Gamma Latent Variables

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