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.
Cuprins
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
Despre autor
Dawn Iacobucci is the E. Bronson Ingram Professor of Marketing at the Owen Graduate School of Management, Vanderbilt University. Previously she was the Senior Associate Dean for Owen (2008-2010), Professor of Marketing at the Kellogg School of Management, Northwestern University (1987-2004), the Coca-Cola Distinguished Professor of Marketing, Professor of Psychology and Head of the Marketing Department of the University of Arizona (2001-2002), and the John Pomerantz Professor of Marketing at Wharton, of the University of Pennsylvania (2004 to 2007). She received her M.S. in Statistics, and M.A. and Ph.D. in Quantitative Psychology from the University of Illinois at Urbana-Champaign. Her research on models for social networks and other methodological research questions has been published in the Journal of Marketing, the Journal of Marketing Research, Harvard Business Review, Journal of Consumer Psychology, International Journal of Research in Marketing, Marketing Science, Journal of Service Research, Psychometrika, Psychological Bulletin, and Social Networks. Iacobucci teaches Marketing Management, Marketing Strategy, Marketing Research, Marketing Models, Services Marketing, and New Products to MBA and undergraduate students and multivariate statistics and methodological topics in Ph.D. seminars. She is recent editor of both the Journal of Consumer Research and Journal of Consumer Psychology. She edited Networks in Marketing, Handbook of Services Marketing and Management, Kellogg on Marketing, Kellogg on Integrated Marketing, she is author of Marketing Management (Thomson), the first new MBA text in years, Mediation Analysis, and she is co-author on Gilbert Churchill′s lead text on Marketing Research (Thomson).