Contents Preface vi About the Author xiii Chapter 1.Introduction: Linear Regression and Logistic Regression 1 Chapter 2.Log-Linear Analysis, Logit Analysis, and Logistic Regression 19 Chapter 3.Quantitative Approaches to Model Fit and Explained Variation 42 Chapter 4. Prediction Tables and Qualitative Approaches to Explained Variation 63 Chapter 5.Logistic Regression Coefficients 83 Chapter 6. Model Specification, Variable Selection, and Model Building 105 Chapter 7.Logistic Regression Diagnostics and Problems of Inference 125 Chapter 8.Path Analysis With Logistic Regression (PALR) 145 Chapter 9.Polytomous Logistic Regression for Unordered Categorical Variables 171 Chapter 10. Ordinal Logistic Regression 193 Chapter 11. Clusters, Contexts, and Dependent Data: Logistic Regression for Clustered Sample Survey Data 222 Chapter 12. Conditional Logistic Regression Models for Related Samples 245 Chapter 13. Longitudinal Panel Analysis With Logistic Regression 261 Chapter 14. Logistic Regression for Historical and Developmental Change Models: Multilevel Logistic Regression and Discrete Time Event History Analysis 292 Chapter 15. Comparisons: Logistic Regression and Alternative Models 318 Appendix A: Estimation for Logistic Regression Models 334 Appendix B: Proofs Related to Indices of Predictive Efficiency 344 Appendix C: Ordinal Measures of Explained Variation 352 References 358 Author Index 369 Subject Index 373