Interaction effects in linear and generalized linear models : examples and applications using Stata /: examples and applications using Stata. (2018)
- Record Type:
- Book
- Title:
- Interaction effects in linear and generalized linear models : examples and applications using Stata /: examples and applications using Stata. (2018)
- Main Title:
- Interaction effects in linear and generalized linear models : examples and applications using Stata
- Further Information:
- Note: Robert L. Kaufman, Temple University.
- Authors:
- Kaufman, Robert L
- Contents:
- 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 andSeries 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; … (more)
- Publisher Details:
- Thousand Oaks : SAGE Publications, Inc
- Publication Date:
- 2018
- Extent:
- 1 online resource (608 pages)
- Subjects:
- 519.5/36
Regression analysis
Regression analysis -- Data processing
Mathematical statistics
Mathematical statistics -- Data processing
Linear models (Statistics) - Languages:
- English
- ISBNs:
- 9781506365367
1506365361 - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.337185
- Ingest File:
- 02_335.xml