Bayes factors for evaluating latent monotonicity in polytomous item response theory models

DOI10.1007/s11336-019-09661-wzbMath1431.62562OpenAlexW2918122284WikidataQ91821174 ScholiaQ91821174MaRDI QIDQ2331202

Maria Bolsinova, Jesper Tijmstra

Publication date: 25 October 2019

Published in: Psychometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11336-019-09661-w

zbMATH Keywords

item response theoryBayes factornonparametric IRTlatent monotonicitymanifest monotonicitypolytomous IRT

Mathematics Subject Classification ID

Order statistics; empirical distribution functions (62G30) Applications of statistics to psychology (62P15)

Related Items (1)

A test to distinguish monotone homogeneity from monotone multifactor models

Uses Software

• R

Cites Work

• Unnamed Item
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• Latent class models for testing monotonicity and invariant item ordering for polytomous items
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• Sequential item response models with an ordered response

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