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Bayesian Psychometrics

Digital Module 06: Posterior Predictive Model Checking
​In this digital ITEMS module, Dr. Allison Ames and Aaron Myers ​discuss the most common Bayesian approach to model-data fit evaluation, which is called Posterior Predictive Model Checking (PPMC), for simple linear regression and item response theory models.
Module 27: Markov Chain Monte Carlo Methods for Item Response Theory Models
This ITEMS module provides an introduction to Markov chain Monte Carlo (MCMC) estimation for item response models.