Bayesian Estimation of the Logistic Positive Exponent IRT Model

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 (I...

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Veröffentlicht in:	Journal of educational and behavioral statistics 2010-12, Vol.35 (6), p.693-713
Hauptverfasser:	Bolfarine, Heleno, Bazan, Jorge Luis
Format:	Artikel
Sprache:	eng
Schlagworte:	Achievement tests Bayesian analysis Bayesian Statistics Datasets Elementary Schools Estimating techniques Evaluation Methods Foreign Countries Inference Item Response Theory Logistics Markov Processes Mathematical data Mathematical independent variables Mathematical models Mathematics Mathematics Tests Modeling Monte Carlo Methods Multilevel models Parametric models Peru Public schools Rural Schools
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