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Cumulative or adjacent logits: Which choice for an ordinal logistic latent variable model?

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Publication:5160198
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DOI10.1080/03610926.2015.1060342OpenAlexW2793773101MaRDI QIDQ5160198

Mounir Mesbah, Petan Dossar

Publication date: 28 October 2021

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2015.1060342

zbMATH Keywords

stochastic orderingmonotone likelihood ratioodds ratioRasch modelcumulative logitadjacent logit


Mathematics Subject Classification ID

Inequalities; stochastic orderings (60E15) Measurement theory in the social and behavioral sciences (91C05) Paired and multiple comparisons; multiple testing (62J15) Applications of statistics to psychology (62P15)


Related Items

Modelling ordinal assessments: fit is not sufficient



Cites Work

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  • Polytomous IRT models and monotone likelihood ratio of the total score
  • A rating formulation for ordered response categories
  • A Rasch model for partial credit scoring
  • Sufficient statistics and latent trait models
  • Conditional association, essential independence and monotone unidimensional item response models
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