An Investigation of Parameter Recovery in MCMC Estimation for the Additive IRT Model

DOI10.1080/03610926.2013.800884zbMath1462.62062OpenAlexW1972725511MaRDI QIDQ5419322

Mariagiulia Matteucci

Publication date: 6 June 2014

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2013.800884

zbMATH Keywords

parameter recoveryadditive modelmultidimensional IRT modelsMCMC estimation

Mathematics Subject Classification ID

Applications of statistics to social sciences (62P25) Bayesian problems; characterization of Bayes procedures (62C10)

Related Items (1)

Bayesian Estimation of a Multidimensional Additive Graded Response Model for Correlated Traits

Cites Work

• Unnamed Item
• A Markov chain Monte Carlo approach to confirmatory item factor analysis
• Exploratory bi-factor analysis
• Multidimensional item reponse theory.
• Bayesian item response modeling. Theory and applications.
• Full-information item bi-factor analysis
• Posterior predictive model checking in hierarchical models
• A Gibbs sampler for the multidimensional item response model
• Bayesian estimation of a multilevel IRT model using Gibbs sampling
• MCMC estimation and some model-fit analysis of multidimensional IRT models
• Bayesian Irt Models Incorporating General and Specific Abilities
• Prior Distributions for Item Parameters in IRT Models
• Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
• Bayesian Measures of Model Complexity and Fit

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