http://www.uk.sagepub.com/books/Book228216(簡介)
Social science data analysts have long considered the mediation of intermediate variables of primary importance in understanding individuals’ social, behavioural and other kinds of outcomes. In this book Dawn Iacobucci uses the method known as structural equation modeling (SEM) in modeling mediation in causal analysis. This approach offers the most flexibility and allows the researcher to deal with mediation in the presence of multiple measures, mediated moderation, and moderated mediation, among other variations on the mediation theme. The wide availability of software implementing SEM gives the reader necessary tools for modeling mediation so that a proper understanding of causal relationship is achieved.
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 |