Categorical data analysis.
This chapter reviews recent developments in the analysis of categorical and contingency-table data. The first portion examines developments in model testing and selection. The second portion examines work on models for the structure of dependence. These include log-linear parameter models, models for latent classes, models for missing observations, numerical-scale-based association and correlation models (such as correspondence analysis), the treatment of ordered categories, and models for marginal distributions.
Wickens
T D
TD
Department of Psychology, University of California, Los Angeles, California 90095, USA. twickens@psych.ucla.edu