Introduction: Distributions and Inference for Categorical Data -- Describing Contingency Tables -- Inference for Contingency Tables -- Introduction to Generalized Linear Models -- Logistic Regression -- Building and Applying Logistic Regression Models -- Logit Models for Multinomial Responses -- Loglinear Models for Contingency Tables -- Building and Extending Loglinear/Logit Models -- Models for Matched Pairs -- Analyzing Repeated Categorical Response Data -- Random Effects: Generalized Linear Mixed Models for Categorical Responses -- Other Mixture Models for Categorical Data* -- Asymptotic Theory for Parametric Models -- Alternative Estimation Theory for Parametric Models -- Historical Tour of Categorical Data Analysis* -- Using Computer Software to Analyze Categorical Data -- Chi-Squared Distribution Values.