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Mediation Analysis

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ISBN-10: 141292569X

ISBN-13: 9781412925693

Edition: 2008

Authors: Dawn Iacobucci

List price: $42.00
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Description:

This book covers mediation analysisthe 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…    
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Book details

List price: $42.00
Copyright year: 2008
Publisher: SAGE Publications, Incorporated
Publication date: 4/1/2008
Binding: Paperback
Pages: 104
Size: 5.50" wide x 8.50" long x 0.25" tall
Weight: 0.286
Language: English

Dawn Iacobucci is the E. Bronson Ingram Professor of Marketing at the Owen Graduate School of Management, Vanderbilt University.nbsp; 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…    

List of Figures and Tables
About the Author
Series Editor's Introduction
Acknowledgments
Introduction to Mediation
Mediation Analysis Basics
Mediation With Structural Equations Modeling: The Measurement Model
Mediation With Structural Equations Modeling: The Structural Model
Advanced Topics
Conclusions
Appendix: Commands for Fitting SEM Mediation Models via SAS, EQS, and AMOS
References
Index