Evaluating manifest monotonicity using Bayes factors

DOI10.1007/S11336-015-9475-8zbMath1329.62467OpenAlexW1927942830WikidataQ36278154 ScholiaQ36278154MaRDI QIDQ906041

Klaas Sijtsma, Jesper Tijmstra, Herbert Hoijtink

Publication date: 29 January 2016

Published in: Psychometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11336-015-9475-8

zbMATH Keywords

item response theoryBayes factoressential monotonicitylatent monotonicitymanifest monotonicity

Mathematics Subject Classification ID

Bayesian inference (62F15) Applications of statistics to psychology (62P15)

Related Items (2)

Bayes factors for evaluating latent monotonicity in polytomous item response theory models ⋮ Incomplete tests of conditional association for the assessment of model assumptions

Uses Software

• R
• BayesDA
• MSP5

Cites Work

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• Testing the conditional independence and monotonicity assumptions of item response theory
• Kernel smoothing approaches to nonparametric item characteristic curve estimation
• Stochastic ordering using the latent trait and the sum score in polytomous IRT models
• Testing manifest monotonicity using order-constrained statistical inference
• Nonparametric IRT: testing the bi-isotonicity of isotonic probabilistic models (ISOP)
• Stochastic ordering of the latent trait by the sum score under various polytomous IRT models
• Two-group classification in latent trait theory: Scores with monotone likelihood ratio
• Introduction to applied Bayesian statistics and estimation for social scientists.
• Bayesian model selection of informative hypotheses for repeated measurements
• Constrained Statistical Inference
• Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
• Bayes Factors

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