Patz, Richard J.; Junker, Brian W. - In: Journal of Educational and Behavioral Statistics 24 (1999) 2, pp. 146-178
This paper demonstrates Markov chain Monte Carlo (MCMC) techniques that are particularly well-suited to complex models with item response theory (IRT) assumptions. MCMC may be thought of as a successor to the standard practice of first calibrating the items using E-M methods and then taking the...