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
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).