A Bayesian generalized explanatory item response model to account for learning during the test

DOI10.1007/s11336-021-09786-xzbMath1480.62237OpenAlexW3198124060MaRDI QIDQ2073745

Javier Revuelta, José H. Lozano

Publication date: 7 February 2022

Published in: Psychometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11336-021-09786-x

zbMATH Keywords

item response theoryBayesian estimationlearning modelscomponential models

Mathematics Subject Classification ID

Applications of statistics to psychology (62P15)

Uses Software

• R
• Stan
• BayesDA
• CDM
• loo
• GitHub
• NUTS

Cites Work

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• A multidimensional latent trait model for measuring learning and change
• A dynamic generalization of the Rasch model
• An improved acceptance procedure for the hybrid Monte Carlo algorithm
• Inference from iterative simulation using multiple sequences
• Posterior predictive \(p\)-values
• Logistic response models with item interactions
• Handbook of Markov Chain Monte Carlo
• Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
• Bayesian residual analysis for binary response regression models
• Equation of State Calculations by Fast Computing Machines

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