Categorical Data Analysis for the Behavioral and Social Sciences

1. Introduction and Overview. 2. Probability Distributions. 3. Proportions, Estimation and Goodness-of-Fit. 4. Association Between Two Categorical Variables. 5. Association Between Three Categorical Variables. 6. Modeling and the Generalized Linear Model. 7. Log-Linear Models. 8. Logistic Regression with Continuous Predictors. 9. Logistic Regression with Categorical Predictors. 10. Logistic Regression for Multicategory Outcomes. Appendix.