
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Mediation Analysis
About this book
This book covers mediation analysis—the examination of whether an effect of one variable on another is direct or indirect or both. Author Dawn Iacobucci offers thorough coverage of introductory and advanced material as well as conceptual and statistical information. The book begins by introducing arguments of causality, and proceeds to examine current options for analyzing data patterns purported to exhibit meditational structures. Iacobucci shows direct and indirect paths via causal paths, regression, and structural equations models. She also grounds readers in a popular structural equations modeling approach so they can implement the statistical methods discussed in testing for evidence of mediation in a variety of empirical contexts.
Intended Audience
This book is appropriate for any course in regression and correlation, sociological research methods, quantitative research methods, quantitative techniques in Business & Management, Psychology, Political Science, or Public Policy departments.
Intended Audience
This book is appropriate for any course in regression and correlation, sociological research methods, quantitative research methods, quantitative techniques in Business & Management, Psychology, Political Science, or Public Policy departments.
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Yes, you can access Mediation Analysis by Dawn Iacobucci in PDF and/or ePUB format, as well as other popular books in Sozialwissenschaften & Wissenschaftliche Forschung & Methodik. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Cover Page
- Title
- Copyright
- Contents
- List of Figures and Tables
- About the Author
- Series Editor’s Introduction
- Acknowledgments
- 1. Introduction to Mediation
- 2. Mediation Analysis Basics
- 3. Mediation With Structural Equations Modeling: The Measurement Model
- 4. Mediation With Structural Equations Modeling: The Structural Model
- 5. Advanced Topics
- 6. Conclusions
- Appendix: Commands for Fitting SEM Mediation Models via SAS, EQS, and AMOS
- References
- Index