基本説明
Uses the method known as structural equation modeling (SEM) in modeling mediation in causal analysis.
Full Description
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.
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
