An edition of Interaction Effects in Linear and Generalized Linear Models (2018)

Interaction Effects in Linear and Generalized Linear Models

Examples and Applications Using Stata

First edition

by Robert L. Kaufman

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An edition of Interaction Effects in Linear and Generalized Linear Models (2018)

Interaction Effects in Linear and Generalized Linear Models

Examples and Applications Using Stata

First edition

by Robert L. Kaufman

0 Ratings
2 Want to read
0 Currently reading
0 Have read

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.

Publish Date

October 17, 2018; 2019

Publisher

SAGE Publications, Incorporated

Language

English

Pages

610

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1 Interaction Effects in Linear and Generalized Linear Models: Examples and Applications Using Stata October 17, 2018; 2019, SAGE Publications, Incorporated Hardcover in English - First edition 150636537X 9781506365374	aaaa Not in Library Libraries near you: WorldCat

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Book Details

- 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

Edition Notes

The author’s website at www.icalcrlk.com provides a downloadable toolkit of Stata® routines to produce the calculations, tables, and graphics for each interpretive tool discussed. Also available are the Stata® dataset files to run the examples in the book.

Includes bibliographical references (pages 573-576) and index.

Published in: California, USA
Series: Advanced Quantitative Techniques in the Social Sciences : Book 12

Classifications

Dewey Decimal Class: 519.5/36
Library of Congress: QA278.2.K38 2019

The Physical Object

Format: Hardcover
Pagination: xxiii, 584 pages : illustrations ; 26 cm
Number of pages: 610
Dimensions: 7 x 1 x 10 inches
Weight: 3 pounds

ID Numbers

Open Library: OL28691926M
ISBN 10: 150636537X
ISBN 13: 9781506365374
LCCN: 2018015288
OCLC/WorldCat: 1100474200
Goodreads: 40277215

Source records

Better World Books record

Work Description

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. The book develops the statistical basis for the general principles of interpretive tools and applies them to a variety of examples, introduces the ICALC Toolkit for Stata, and offers a series of start-to-finish application examples to show students how to interpret interaction effects for a variety of different techniques of analysis, beginning with OLS regression.

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Interaction Effects in Linear and Generalized Linear Models

Examples and Applications Using Stata

by Robert L. Kaufman