Chapters in this book

1. Frontmatter i
2. Contents vii
3. Preface xi
4. Acknowledgments xv
5. 1. Review of Linear Regression Models 1
6. 2. Categorical Data and Generalized Linear Models 39
7. 3. Logistic and Probit Regression Models 63
8. 4. Ordered Logistic and Probit Regression Models 87
9. 5. Multinomial Logistic and Probit Regression Models 111
10. 6. Poisson and Negative Binomial Regression Models 131
11. 7. Event History Models 159
12. 8. Regression Models for Longitudinal Data 189
13. 9. Multilevel Regression Models 207
14. 10. Principal Components and Factor Analysis 243
15. Appendix A: SAS, SPSS, and R Code for Examples in Chapters 269
16. Appendix B: Using Simulations to Examine Assumptions of OLS Regression 383
17. Appendix C: Working with Missing Data 389
18. References 397
19. Index 403