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Simulation & Estimation

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.
Module 42: Simulation Studies in Psychometrics
This ITEMS module provides a comprehensive introduction to the topic of simulation that can be easily understood by measurement specialists at all levels of training and experience.