This chapter reviews recent developments in the analysis of categorica
l and contingency-table data. The first portion examines developments
in model testing and selection. The second portion examines work on mo
dels for the structure of dependence. These include log-linear paramet
er models, models for latent classes, models for missing observations,
numerical-scale-based association and correlation models (such as cor
respondence analysis), the treatment of ordered categories, and models
for marginal distributions.