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Direct linkBolfarine, Heleno; Bazan, Jorge Luis – Journal of Educational and Behavioral Statistics, 2010
A Bayesian inference approach using Markov Chain Monte Carlo (MCMC) is developed for the logistic positive exponent (LPE) model proposed by Samejima and for a new skewed Logistic Item Response Theory (IRT) model, named Reflection LPE model. Both models lead to asymmetric item characteristic curves (ICC) and can be appropriate because a symmetric…
Descriptors: Markov Processes, Item Response Theory, Bayesian Statistics, Monte Carlo Methods
