A multidimensional item response model: Constrained latent class analysis using the Gibbs sampler and posterior predictive checks
type: Item
instance of: scholarly article
title: A multidimensional item response model: Constrained latent class analysis using the Gibbs sampler and posterior predictive checks
zbMATH Open document ID: 1003.62548
DOI: 10.1007/BF02295273
author: Herbert Hoijtink
author: Ivo W. Molenaar
published in: Psychometrika
publication date: 2003-01-15T00:00:00Z
Mathematics Subject Classification ID: 62P15
Mathematics Subject Classification ID: 62G05
zbMATH DE Number: 1042771
zbMATH Keywords: Gibbs sampler
zbMATH Keywords: posterior predictive checks
zbMATH Keywords: nonparametric item response theory
zbMATH Keywords: multi-dimensional
zbMATH Keywords: manifest monotonicity
zbMATH Keywords: local homogeneity
zbMATH Keywords: conditional association
describes a project that uses: NAG
describes a project that uses: BayesDA
MaRDI profile type: Publication
cites work: Local homogeneity in latent trait models. A characterization of the homogeneous monotone IRT model
cites work: Sampling-Based Approaches to Calculating Marginal Densities
cites work: Bayesian data analysis.
cites work: Q4715945
cites work: Inference from iterative simulation using multiple sequences
cites work: Two-group classification in latent trait theory: Scores with monotone likelihood ratio
cites work: When are item response models consistent with observed data?
cites work: Conditional association and unidimensionality in monotone latent variable models
cites work: Q4187195
cites work: Essential independence and likelihood-based ability estimation for polytomous items
cites work: Conditional association, essential independence and monotone unidimensional item response models
cites work: Semiparametric Estimation in the Rasch Model and Related Exponential Response Models, Including a Simple Latent Class Model for Item Analysis
cites work: Q5580837
cites work: Posterior predictive \(p\)-values
cites work: Computer generation of dirichlet random vectors
cites work: Q4720653
cites work: Testing the conditional independence and monotonicity assumptions of item response theory
cites work: Bayesianly justifiable and relevant frequency calculations for the applied statistician
cites work: A model-based standardization approach that separates true bias/DIF from group ability differences and detects test bias/DTF as well as item bias/DIF
cites work: Reliability of test scores in nonparametric item response theory
cites work: Q4272782
cites work: A nonparametric approach for assessing latent trait unidimensionality
cites work: A new item response theory modeling approach with applications to unidimensionality assessment and ability estimation
cites work: Tools for statistical inference. Methods for the exploration of posterior distributions and likelihood functions.
cites work: Markov chains for exploring posterior distributions. (With discussion)
cites work: Gibbs Sampler Convergence Criteria
full work available at URL: https://doi.org/10.1007/bf02295273
OpenAlex ID: W2060088199
description: scientific article; zbMATH DE number 1042771