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Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach (Methodology in the Social Sciences) [Hardcover]

Andrew F. Hayes

Price: 43.99 & FREE Delivery in the UK. Details
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Book Description

17 Jun 2013 1609182308 978-1609182304 1

This engaging book explains the fundamentals of mediation and moderation analysis and their integration as "conditional process analysis." Procedures are described for testing hypotheses about the mechanisms by which causal effects operate, the conditions under which they occur, and the moderation of mechanisms. Relying on the principles of ordinary least squares regression, Andrew Hayes carefully explains the estimation and interpretation of direct and indirect effects, probing and visualization of interactions, and testing of questions about moderated mediation. Examples using data from published studies illustrate how to conduct and report the analyses described in the book. Of special value, the book introduces and documents PROCESS, a macro for SPSS and SAS that does all the computations described in the book. The author's website (www.afhayes.com) offers free downloads of PROCESS plus data files for the book's examples.

Unique features include:
*Compelling examples (presumed media influence, sex discrimination in the workplace, and more) with real data; boxes with SAS, SPSS, and PROCESS code; and loads of tips, including how to report mediation, moderation and conditional process analyses.
*Appendix that presents documentation on use and features of PROCESS.
*Online supplement providing data, code, and syntax for the book's examples.


Frequently Bought Together

Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach (Methodology in the Social Sciences) + Doing Statistical Mediation and Moderation (Methodology in the Social Sciences) + Data Analysis with Mplus (Methodology in the Social Sciences)
Price For All Three: 104.45

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More About the Author

Andrew F. Hayes (Ph.D., Cornell University, 1996; B.A. San Jose State University, 1991) is currently on the faculty at The Ohio State University. His work on statistical methods, including moderation and mediation analysis, has been published in such journals as Psychological Methods, Behavior Research Methods, Multivariate Behavioral Research, Psychological Science, Journal of Educational and Behavioral Statistics, Human Communication Research, and Communication Monographs, as well as in various edited books. He is author of "Statistical Methods for Communication Science" (Routledge), "Introduction to Mediation, Moderation, and Conditional Process Analysis" (The Guilford Press) and he currently serves as editor-in-chief of Communication Methods and Measures (Taylor & Francis)

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Review

"Mediation and moderation are two of the most widely used statistical tools in the social sciences. Students and experienced researchers have been waiting for a clear, engaging, and comprehensive book on these topics for years, but the wait has been worth it--this book is an absolute winner. With his usual clarity, Hayes has written what will become the default resource on mediation and moderation for many years to come." - Andy Field, PhD, School of Psychology, University of Sussex, United Kingdom 

"Hayes provides an accessible, thorough introduction to the analysis of models containing mediators, moderators, or both. The text is easy to follow and written at a level appropriate for an introductory graduate course on mediation and moderation analysis. The book is also an extremely useful resource for applied researchers interested in analyzing conditional process models. One strength is the inclusion of numerous examples using real data, with step-by-step instructions for analysis of the data and interpretation of the results. This book's largest contribution to the field is its replacement of the confusing terminology of mediated moderation and moderated mediation with the clearer and broader term conditional process model." - Matthew Fritz, PhD, Virginia Polytechnic Institute and State University, USA

"A welcome contribution. This book's accessible language and diverse set of examples will appeal to a wide variety of substantive researchers looking to explore how or why, and under what conditions, relationships among variables exist. Hayes has a unique ability to effectively communicate technical material to nontechnical audiences. He facilitates application of several cutting-edge statistical models by providing practical, well-oiled machinery for conducting the analyses in practice. I can use this book to enhance my graduate-level mediation class by extending the course to include more coverage on differentiating mediation versus moderation and on conditional process models that simultaneously evaluate both effects together." - Amanda Jane Fairchild, PhD, University of South Carolina, USA

About the Author

Andrew F. Hayes, PhD, is Professor of Quantitative Psychology and Professor of Communication at The Ohio State University. He is the author of Statistical Methods for Communication Science and coeditor of the Sage Sourcebook on Advanced Data Analysis Methods for Communication Research, and has published many journal articles and book chapters in the areas of research methods, data analysis, public opinion, political communication, social psychology, and numerous other topics. Dr. Hayes is one of the founding editors of Communication Methods and Measures, of which he serves as Editor-in-Chief through 2015. He teaches research design and data analysis at the undergraduate and graduate levels and frequently conducts workshops on moderation and mediation analysis throughout the world. His website is www.afhayes.com.


Inside This Book (Learn More)
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Front Cover | Copyright | Table of Contents | Excerpt | Index
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Customer Reviews

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Amazon.com: 4.8 out of 5 stars  9 reviews
4 of 4 people found the following review helpful
5.0 out of 5 stars Worth keeping within easy reach of my desk 8 Oct 2013
By Stephen A. Spiller - Published on Amazon.com
Format:Hardcover
For those new to the topic, Hayes' book provides a great introduction to moderation and mediation analyses; for those already familiar with the basics (or more than the basics), it serves as an important reference and refresher. In my field (consumer behavior), the PROCESS macro introduced by this book is quickly becoming the gold standard for testing psychological processes. In addition to showing *how* to use PROCESS, Hayes also explains *why* and demystifies the "black box" in a quite readable manner. (I leisurely read it cover to cover over the last week or two, and could've done so much faster had I been in a rush.) Hayes uses lots of real examples, explained and interpreted in depth, and provides the sample data and code so that readers can replicate the analyses for themselves. He also precisely dispels long-held myths regarding mean-centering and testing the total effect, among others. I'll be keeping this book within easy reach of my desk.
6 of 7 people found the following review helpful
4.0 out of 5 stars Good stuff but missing a good output explanation 31 July 2013
By BizDoc - Published on Amazon.com
Format:Hardcover|Verified Purchase
I had been looking forward to this book for some time because I was interested in learning how to conduct these kinds of analyses but I found it hard to teach myself the process by reading the existing articles. It does a nice job of explaining the basics of the analyses and Process is a great macro for SPSS. However, I was also really hoping that the book would contain a detailed breakdown of what information is contained on the output and how to interpret it. Unfortunately, it doesn't have that. It has sample output but it doesn't really go through and explain everything that's contained in the output. It seems to just assume that you know how to read the output which is a little odd for a book that's meant to be an introduction.
2 of 2 people found the following review helpful
5.0 out of 5 stars Great book - a must have reference book for mediation analysis 27 Nov 2013
By E. Minton - Published on Amazon.com
Format:Hardcover|Verified Purchase
Great book. I have only two stats books that I frequently refer to. One of Hayes' book for mediation (and conditional process analysis) and the second is Andy Field's guide to SPSS. These two together tell you everything you need to know about basic stats in SPSS. Hayes' book is clear, uses great examples, and explains concepts well for those that know the basics of stats (but is not overwhelming with formulas). A must for anyone doing mediation analysis.
2 of 2 people found the following review helpful
5.0 out of 5 stars Very clear and relevant text on mediation and moderation 6 Nov 2013
By H. Bergsieker - Published on Amazon.com
Format:Hardcover|Verified Purchase
Excellent, accessible explanation of how to optimally test relationships between variables in regression. I teach Ph.D.-level statistics courses and am considering assigning this text in the future. Hayes has done a true service to science by writing this book and the associated macro tools.
2 of 2 people found the following review helpful
5.0 out of 5 stars Must have book for researchers 3 Sep 2013
By LA Cavanaugh - Published on Amazon.com
Format:Hardcover
Andrew Hayes has written a must have book for researchers who want to really understand and be able to competently analyze different moderation and mediation models, ranging from the very basic to highly complex. Hayes has a unique ability to communicate and teach statistical methods in a way that creates clarity for the reader. I was first exposed to his papers and helpful macros as a PhD student, and I now use his recommended techniques regularly as a faculty member. His style of writing and method of instruction (i.e., clear diagrams for the models and helpful sample output) make the content both highly accessible and useful on a day-to-day basis. This is a great book for researchers who need a definitive resource for models containing mediators, moderators, or both. I highly recommend it!
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