eBook - ePub
Interaction Effects in Linear and Generalized Linear Models
Examples and Applications Using Stata
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Interaction Effects in Linear and Generalized Linear Models
Examples and Applications Using Stata
About this book
"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."Ā Ā
āNicole Kalaf-Hughes, Bowling Green State UniversityĀ Ā
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.Ā Ā
The author's website provides a downloadable toolkit of StataĀ® routines to produce the calculations, tables, and graphics for each interpretive tool discussed. Also available are the StataĀ® dataset files to run the examples in the book.
āNicole Kalaf-Hughes, Bowling Green State UniversityĀ Ā
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.Ā Ā
The author's website provides a downloadable toolkit of StataĀ® routines to produce the calculations, tables, and graphics for each interpretive tool discussed. Also available are the StataĀ® dataset files to run the examples in the book.
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Yes, you can access Interaction Effects in Linear and Generalized Linear Models by Robert L. Kaufman in PDF and/or ePUB format, as well as other popular books in Social Sciences & Social Science Research & Methodology. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Cover
- Half Title
- Publisher Note
- Title Page
- Copyright Page
- Brief Contents
- Detailed Contents
- Series Editorās Introduction
- Preface
- Acknowledgments
- Acknowledgements
- About the Author
- Publisher Note
- 1 Introduction and Background
- Part I Principles
- 2 Basics of Interpreting the Focal Variableās Effect in the Modeling Component
- 3 The Varying Significance of the Focal Variableās Effect
- 4 Linear (Identity Link) Models Using the Predicted Outcome for Interpretation
- 5 Nonidentity Link Functions Challenges of Interpreting Interactions in Nonlinear Models
- Part II Applications
- 6 ICALC Toolkit Syntax, Options, and Examples
- 7 Linear Regression Model Applications
- 8 Logistic Regression and Probit Applications
- 9 Multinomial Logistic Regression Applications
- 10 Ordinal Regression Models
- 11 Count Models
- 12 Extensions and Final Thoughts
- Appendix: Data for Examples
- Resource Guide
- Index