Simple ways to interpret effects in modeling ordinal categorical data

DOI10.1111/stan.12130WikidataQ130021975 ScholiaQ130021975MaRDI QIDQ6089173

Claudia Tarantola, Alan Agresti

Publication date: 14 December 2023

Published in: Statistica Neerlandica (Search for Journal in Brave)

zbMATH Keywords

stochastic orderingproportional oddsmarginal effectsmultiple correlation\(R\)-squaredcumulative link modelscumulative logits

Mathematics Subject Classification ID

Linear inference, regression (62Jxx) Statistics (62-XX) Applications of statistics (62Pxx)

Related Items (3)

On some measures of ordinal variation ⋮ Modelling consumer perceptions of service quality for urban public transport systems using statistical models for ordinal data ⋮ The class of CUB models: statistical foundations, inferential issues and empirical evidence

Cites Work

• Regression, Discrimination and Measurement Models for Ordered Categorical Variables
• A statistical model for the analysis of ordinal level dependent variables
• Adjusted Coefficients of Determination for Logistic Regression
• Ordinal probability effect measures for group comparisons in multinomial cumulative link models
• Probabilistic Index Models
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