Testing unidimensionality in polytomous Rasch models

DOI10.1007/BF02295131zbMath1297.62228OpenAlexW2090413389MaRDI QIDQ463131

Jørgen Holm Petersen, Svend Kreiner, Jakob Bue Bjorner, Karl Bang Christensen

Publication date: 15 October 2014

Published in: Psychometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf02295131

zbMATH Keywords

Martin-Löf testpolytomous Rasch modelunidimensionality assumption

Mathematics Subject Classification ID

Applications of statistics to psychology (62P15)

Related Items (8)

Analysis of Local Dependence and Multidimensionality in Graphical Loglinear Rasch Models ⋮ MultiLCIRT: an R package for multidimensional latent class item response models ⋮ Multidimensional latent Markov models in a developmental study of inhibitory control and attentional flexibility in early childhood ⋮ A multilevel finite mixture item response model to cluster examinees and schools ⋮ A nonparametric multidimensional latent class IRT model in a Bayesian framework ⋮ A test to distinguish monotone homogeneity from monotone multifactor models ⋮ A Class of Multidimensional Latent Class IRT Models for Ordinal Polytomous Item Responses ⋮ A class of multidimensional IRT models for testing unidimensionality and clustering items

Uses Software

• ConQuest
• MULTIRA
• OPLM
• bootstrap

Cites Work

• Characterizing the manifest probabilities of latent trait models
• A rating formulation for ordered response categories
• Two new test statistics for the Rasch model
• A Rasch model for partial credit scoring
• A goodness of fit test for the Rasch model
• Loglinear multidimensional IRT models for polytomously scored items
• Asymptotic Properties of Maximum Likelihood Estimators and Likelihood Ratio Tests Under Nonstandard Conditions
• Consistent Estimates Based on Partially Consistent Observations
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