A nonparametric multidimensional latent class IRT model in a Bayesian framework

DOI10.1007/s11336-017-9576-7zbMath1402.62298OpenAlexW1656546070WikidataQ47689373 ScholiaQ47689373MaRDI QIDQ1695736

Alessio Farcomeni, Luisa Scaccia, Francesco Bartolucci

Publication date: 8 February 2018

Published in: Psychometrika (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/11393/169821

zbMATH Keywords

item response theoryMarkov chain Monte Carlocluster analysisunidimensionalityencompassing priorsstochastic partitionsreversible-jump algorithm

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Nonparametric estimation (62G05) Bayesian inference (62F15) Applications of statistics to psychology (62P15)

Related Items (2)

A Bayesian nonparametric approach for handling item and examinee heterogeneity in assessment data ⋮ A test to distinguish monotone homogeneity from monotone multifactor models

Uses Software

• R
• MultiLCIRT
• mirt

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
• Bayesian estimation and model selection in ordered latent class models for polytomous items
• Testing unidimensionality in polytomous Rasch models
• Bayesian inferences of latent class models with an unknown number of classes
• Multidimensional item reponse theory.
• Estimating the dimension of a model
• A multidimensional item response model: Constrained latent class analysis using the Gibbs sampler and posterior predictive checks
• Markov chains for exploring posterior distributions. (With discussion)
• Bayesian inference through encompassing priors and importance sampling for a class of marginal models for categorical data
• Likelihood inference on the underlying structure of IRT models
• MCMC estimation and some model-fit analysis of multidimensional IRT models
• A class of multidimensional IRT models for testing unidimensionality and clustering items
• A STATISTICAL PARADOX
• Regression and time series model selection in small samples
• Semiparametric Estimation in the Rasch Model and Related Exponential Response Models, Including a Simple Latent Class Model for Item Analysis
• Hidden Markov Models and Disease Mapping
• Exploratory latent structure analysis using both identifiable and unidentifiable models
• Bayes Factors
• Bayesian model selection using encompassing priors
• A Class of Multidimensional Latent Class IRT Models for Ordinal Polytomous Item Responses
• Posterior predictive arguments in favor of the Bayes-Laplace prior as the consensus prior for binomial and multinomial parameters

This page was built for publication: A nonparametric multidimensional latent class IRT model in a Bayesian framework