Markov chain Monte Carlo estimation of a mixture item response theory model

DOI10.1080/00949655.2011.603090zbMath1348.62263OpenAlexW2052992871MaRDI QIDQ4922630

Seock-Ho Kim, Allan S. Cohen, Sun-Joo Cho

Publication date: 3 June 2013

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2011.603090

zbMATH Keywords

model selectionBayesian estimationlabel switchingmixture item response theory modeluse of priors

Mathematics Subject Classification ID

Computational methods in Markov chains (60J22) Applications of statistics to psychology (62P15)

Related Items (1)

Detecting intervention effects using a multilevel latent transition analysis with a mixture IRT model

Uses Software

• WinBUGS
• Latent GOLD

Cites Work

• Unnamed Item
• Consistent estimation of a mixing distribution
• Inference from iterative simulation using multiple sequences
• Bayesian estimation of a multilevel IRT model using Gibbs sampling
• Dealing With Label Switching in Mixture Models
• Applied Bayesian Modelling
• Bayesian Models for Categorical Data
• Parameterization and Bayesian Modeling
• Prior distributions for variance parameters in hierarchical models (Comment on article by Browne and Draper)

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