Learn about Bayesian psychometric methods for data analysis.
Learn about MCMC methods and data augmentation for estimating Bayesian psychometric models.Learn about different psychometric designs (incomplete designs and missing data).
Learn about software tools in R for Bayesian psychometric data analysis
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Introduction to Bayesian psychometric methods (theory and applications in Bayesian latent variable modeling).
Computational Bayesian psychometric methods (Markov chain Monte Carlo methods, R-software, data augmentation).
Advanced Bayesian methods for large-scale assessments (measurement invariance testing, longitudinal psychometric research, missing data).
Multivariate models for high-dimensional data (process data, multidimensionality, network models).
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