The use of predicted values for item parameters in item response theory models: an application in intelligence tests

DOI10.1080/02664763.2012.725034OpenAlexW1972750458MaRDI QIDQ5127129

Bernard P. Veldkamp, Mariagiulia Matteucci, Stefania Mignani

Publication date: 21 October 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: http://amsacta.unibo.it/3241/1/matteucci_mignani_veldkamp_2012.pdf

zbMATH Keywords

Bayesian estimationadaptive testingitem calibrationitem response theory modelsmultivariate regression treesintelligence tests

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• Matlab
• boa

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Elements of adaptive testing
• Bayesian estimation of a multilevel IRT model using Gibbs sampling
• MCMC estimation and some model-fit analysis of multidimensional IRT models
• Markov Chain Monte Carlo Convergence Diagnostics: A Comparative Review
• Prior Distributions for Item Parameters in IRT Models
• Diagnostics of prior-data agreement in applied Bayesian analysis
• Multivariate Regression Trees for Analysis of Abundance Data
• Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
• Prior distribution for item response curves
• Statistical Test Theory for the Behavioral Sciences

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