Prior Distributions for Item Parameters in IRT Models

DOI10.1080/03610926.2011.639973zbMath1296.62019OpenAlexW2050993361MaRDI QIDQ3167833

Mariagiulia Matteucci, Stefania Mignani, Bernard P. Veldkamp

Publication date: 29 October 2012

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

Full work available at URL: https://doi.org/10.1080/03610926.2011.639973

zbMATH Keywords

regression treesprior distributionsMCMC estimationitem response theory models

Mathematics Subject Classification ID

Empirical decision procedures; empirical Bayes procedures (62C12) Applications of statistics to psychology (62P15)

Related Items (5)

Expert knowledge elicitation using item response theory ⋮ Unnamed Item ⋮ The use of predicted values for item parameters in item response theory models: an application in intelligence tests ⋮ An Investigation of Parameter Recovery in MCMC Estimation for the Additive IRT Model ⋮ Complex Latent Variable Modeling in Educational Assessment

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Boosting and instability for regression trees
• Multivariate data analysis and modeling through classification and regression trees
• Bayesian estimation of a multilevel IRT model using Gibbs sampling
• MCMC estimation and some model-fit analysis of multidimensional IRT models
• Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
• Bayesian estimation of multidimensional item response theory model using gibbs sampling

This page was built for publication: Prior Distributions for Item Parameters in IRT Models