Offering a clear set of workable examples with data and explanations, Interaction Effects in Linear and Generalized Linear Models is a comprehensive and accessible text that provides a unified approach to interpreting interaction effects. 

Series Editor’s Introduction Preface Acknowledgments About the Author 1. Introduction and Background Overview: Why Should You Read This Book? The Logic of Interaction Effects in Linear Regression Models The Logic of Interaction Effects in GLMs Diagnostic Testing and Consequences of Model Misspecification Roadmap for the Rest of the Book Chapter 1 Notes PART I. PRINCIPLES 2. Basics of Interpreting the Focal Variable’s Effect in the Modeling Component Mathematical (Geometric) Foundation for GFI GFI Basics: Algebraic Regrouping, Point Estimates, and Sign Changes Plotting Effects Summary Special Topics Chapter 2 Notes 3. The Varying Significance of the Focal Variable’s Effect Test Statistics and Significance Levels JN Mathematically Derived Significance Region Empirically Defined Significance Region Confidence Bounds and Error Bar Plots Summary and Recommendations Chapter 3 Notes 4. Linear (Identity Link) Models: Using the Predicted Outcome for Interpretation Options for Display and Reference Values Reference Values for the Other Predictors (Z) Constructing Tables of Predicted Outcome Values Charts and Plots of the Expected Value of the Outcome Conclusion Special Topics Chapter 4 Notes 5. Nonidentity Link Functions: Challenges of Interpreting Interactions in Nonlinear Models Identifying the Issues Mathematically Defining the Confounded Sources of Nonlinearity Revisiting Options for Display and Reference Values Solutions Summary and Recommendations Derivations and Calculations Chapter 5 Notes PART II. APPLICATIONS 6. ICALC Toolkit: Syntax, Options, and Examples Overview INTSPEC: Syntax and Options GFI Tool: Syntax and Options SIGREG Tool: Syntax and Options EFFDISP Tool: Syntax and Options OUTDISP Tool: Syntax and Options Next Steps Chapter 6 Notes 7. Linear Regression Model Applications Overview Single-Moderator Example Two-Moderator Example Special Topics Chapter 7 Notes 8. Logistic Regression and Probit Applications Overview One-Moderator Example (Nominal by Nominal) Three-Way Interaction Example (Interval by Interval by Nominal) Special Topics Chapter 8 Notes 9. Multinomial Logistic Regression Applications Overview One-Moderator Example (Interval by Interval) Two-Moderator Example (Interval by Two Nominal) Special Topics Chapter 9 Notes 10. Ordinal Regression Models Overview One-Moderator Example (Interval by Nominal) Two-Moderator Interaction Example (Nominal by Two Interval) Special Topics Chapter 10 Notes 11. Count Models Overview One-Moderator Example (Interval by Nominal) Three-Way Interaction Example (Interval by Interval by Nominal) Special Topics Chapter 11 Notes 12. Extensions and Final Thoughts Extensions Final Thoughts: Dos, Don’ts, and Cautions Chapter 12 Notes Appendix: Data for Examples Chapter 2: One-Moderator Example Chapter 2: Two-Moderator Mixed Example Chapter 2: Two-Moderator Interval Example Chapter 2: Three-Way Interaction Example Chapter 3: One-Moderator Example Chapter 3: Two-Moderator Example Chapter 3: Three-Way Interaction Example Chapter 4: Tables One-Moderator Example and Figures Example 3 Chapter 4: Tables Two-Moderator Example Chapter 4: Figures Examples 1 and 2 Chapter 4: Figures Example 4 Chapter 4: Tables Three-Way Interaction Example and Figures Example 5 Chapter 5: Examples 1 and 2 Chapter 5: Example 3 Chapter 5: Example 4 Chapter 6: One-Moderator Example Chapter 6: Two-Moderator Example Chapter 6: Three-Way Interaction Example Chapter 7: One-Moderator Example Chapter 7: Two-Moderator Example Chapter 8: One-Moderator Example Chapter 8: Three-Way Interaction Example Chapter 9: One-Moderator Example Chapter 9: Two-Moderator Example Chapter 10: One-Moderator Example Chapter 10: Two-Moderator Example Chapter 11: One-Moderator Example Chapter 11: Three-Way Interaction Example Chapter 12: Polynomial Example Chapter 12: Heckman Example Chapter 12: Survival Analysis Example References Data Sources Index

"This book is remarkable in its accessible treatment of interaction effects. Although this concept can be challenging for students (even those with some background in statistics), this book presents the material in a very accessible manner, with plenty of examples to help the reader understand how to interpret their results."