Mediation analysis
Author(s)
Bibliographic Information
Mediation analysis
(Sage publications series, . Quantitative applications in the social sciences ; 07-156)
Sage, c2008
- : pbk
Available at 39 libraries
  Aomori
  Iwate
  Miyagi
  Akita
  Yamagata
  Fukushima
  Ibaraki
  Tochigi
  Gunma
  Saitama
  Chiba
  Tokyo
  Kanagawa
  Niigata
  Toyama
  Ishikawa
  Fukui
  Yamanashi
  Nagano
  Gifu
  Shizuoka
  Aichi
  Mie
  Shiga
  Kyoto
  Osaka
  Hyogo
  Nara
  Wakayama
  Tottori
  Shimane
  Okayama
  Hiroshima
  Yamaguchi
  Tokushima
  Kagawa
  Ehime
  Kochi
  Fukuoka
  Saga
  Nagasaki
  Kumamoto
  Oita
  Miyazaki
  Kagoshima
  Okinawa
  Korea
  China
  Thailand
  United Kingdom
  Germany
  Switzerland
  France
  Belgium
  Netherlands
  Sweden
  Norway
  United States of America
Note
Bibliography: p. 79-82
Includes index
Description and Table of Contents
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.
Table of 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
by "Nielsen BookData"