Series Editor: Barbara Entwisle, The University of North Carolina at Chapel Hill

Barbara Entwisle is Kenan Distinguished Professor of Sociology at the University of North Carolina at Chapel Hill. Her work is published in journals such as the American Sociological Review, American Journal of Sociology, Demography, Annals of the American Association of Geographers, American Journal of Epidemiology, and Proceedings of the National Academy of Sciences. Entwisle has taught research methods at the graduate and undergraduate levels for most of her career, and is teaching those courses again now that she has returned to the faculty after a six-year stint as Vice Chancellor for Research at the University of North Carolina. Her editing experience includes co-editing Demography and serving on the editorial boards of over a half dozen other journals.

Note from Barbara Entwisle:

"I am honored to serve as Series Editor for SAGE’s Quantitative Applications in the Social Sciences and to follow in the footsteps of the many distinguished editors before me. I am particularly privileged to serve as the Series celebrates its 40th anniversary. In my view, the 'little green books' serve two very valuable purposes. First, social science faculty use the more introductory volumes as supplements in their graduate and advanced undergraduate courses. Second, advanced graduate students, postdocs, and faculty use the more advanced volumes as routes into the technical literature. Thus far, SAGE has published 175 QASS volumes on a wide range of topics of interest to social science researchers at all levels, with well over a million copies sold. While Series Editor, I will work with authors to revise and update the more central of these, especially if the original volumes were published some time ago, but mainly I would like to recruit 'little green books' on new topics, including quantitatively oriented data collection. I welcome your inquiries. I also welcome your comments and suggestions about how to make the QASS Series even better."

QASS Editorial Board
Series Editor

Barbara Entwisle, Sociology, University of NorthCarolina, Chapel Hill

Editorial Board

Richard A. Berk, Sociology, University of California, Los Angeles

William D. Berry, Political Science, Florida State University

Kenneth A. Bollen, Sociology, University of North Carolina, Chapel Hill

Linda B. Bourque, Public Health, University of California, Los Angeles

John Fox, Sociology, McMaster University

Michael Friendly, Psychology, York University

Jacques A. Hagenaars, Social Sciences,Tilburg University

Ben B. Hansen, Statistics, University of Michigan

Sally Jackson, Communication, University of Illinois at Urbana-Champaign

William G. Jacoby, Political Science, Michigan State University

Gary King, Government, Harvard University

Roger E. Kirk, Psychology, Baylor University

Erin Leahey, Sociology, University of Arizona

Tim Liao, Sociology, University of Illinois at Urbana-Champaign

J. Scott Long, Sociology and Statistics, Indiana University

Peter Marsden, Sociology, Harvard University

Helmut Norpoth, Political Science, SUNY, Stony Brook

Michael D. Ornstein, Sociology, York University

Robert A. Stine, Statistics, University of Pennsylvania

Yu Xie, Sociology, Princeton University

Mediation Analysis

Dawn Iacobucci, Vanderbilt University, USA

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.