Ordinal Regression

This chapter contains sections titled: Aspects and assumptions of ordinal data models Latent scale and data augmentation Assessing model assumptions: non-parametric ordinal regression and assessing ordinality Location-scale ordinal regression Structural interpretations with aggregated ordinal data Log-linear models for contingency tables with ordered categories Multivariate ordered outcomes Exercises References