Patz, Richard J.; Junker, Brian W. - In: Journal of Educational and Behavioral Statistics 24 (1999) 4, pp. 342-366
Patz and Junker (1999) describe a general Markov chain Monte Carlo (MCMC) strategy, based on Metropolis-Hastings sampling, for Bayesian inference in complex item response theory (IRT) settings. They demonstrate the basic methodology using the two-parameter logistic (2PL) model. In this paper we...
