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Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach (Methodology in the Social Sciences) Hardcover – 14 Jun 2013

4.7 out of 5 stars 3 customer reviews

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Product details

  • Hardcover: 507 pages
  • Publisher: Guilford Press; 1 edition (14 Jun. 2013)
  • Language: English
  • ISBN-10: 1609182308
  • ISBN-13: 978-1609182304
  • Product Dimensions: 3.2 x 18.4 x 26 cm
  • Average Customer Review: 4.7 out of 5 stars  See all reviews (3 customer reviews)
  • Amazon Bestsellers Rank: 251,767 in Books (See Top 100 in Books)
  • See Complete Table of Contents

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)

Product Description


"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 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, for 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.

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Customer Reviews

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Top Customer Reviews

Format: Hardcover Verified Purchase
This is a truly brilliant book for anyone interested in mediation, moderation, and moderated mediation. Mastering these types of analyses are a must for many clinical and health psychological scientists and professionals. The text is helpful, very well structured, easy to read, and very easy to understand conceptually. It makes it welcomingly easy to start to unpick interaction effects resulting from regression models. I have recommended this book to all my Masters and PhD students, and will probably buy a second copy!
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Format: Hardcover Verified Purchase
If you are doing a study that involves mediation, moderation or conditional process analysis- this book is perfect to use with Dr. Hayes PROCESS script for SPSS and SAS. It is written clearly and concisely and provides conceptual and statistical diagrams of his various models. I appreciate the extra syntax codes that are included.
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Format: Hardcover Verified Purchase
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Most Helpful Customer Reviews on Amazon.com (beta)

Amazon.com: HASH(0x8ff62ac8) out of 5 stars 25 reviews
13 of 14 people found the following review helpful
HASH(0x8ff48e34) 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.
6 of 6 people found the following review helpful
HASH(0x8fc98c3c) 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.
4 of 4 people found the following review helpful
HASH(0x8ff51ad4) 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.
3 of 3 people found the following review helpful
HASH(0x8fda2f9c) out of 5 stars Great book on mediation and moderation 12 Aug. 2013
By Kris Preacher - Published on Amazon.com
Format: Hardcover
Hayes is not only one of the world's leading experts on mediation and moderation; he is also a wonderful communicator and teacher (as anyone who has attended his occasional workshops will know). This really comes through in this volume on mediation, moderation, and their combination (conditional process analysis). The book is written with application in mind, but is not a cookbook -- you will understand these methods inside and out before putting it down. I recommend it to anyone wanting to learn how to specify and test complex regression models. Hayes' website provides easy-to-use syntax for SPSS and SAS to accompany the analyses in the book.
2 of 2 people found the following review helpful
HASH(0x8fc3e534) out of 5 stars This book will change your life. 24 April 2014
By Mountain Man - Published on Amazon.com
Format: Hardcover Verified Purchase
Well it can't get your kid to eat broccoli or your dog to stop pooping in the house, but if you do quantitative work and are concerned about causality, it will at least change your research.

This book is incredible. Incredibly well written and clear explanations. If you have a decent idea about how regressions work, you can probably skip the first few chapters, but I wouldn't recommend it. I thought I had a clear understanding of regression analysis, but the way Hayes explained it gave me a new appreciation for some of the subtleties. And that's not even the main text!

I have fundamentally shifted the way I think about data with an understanding of how these tools work. I was always a bit suspicious of the Baron & Kenny mediation; while it is useful, it has some flaws. Hayes explains the bootstrapping methodology in a manner that gave me insight into both what those flaws are, and why this methodology is more powerful and consistent.

The clear explanations are incredible, but the real piece that puts this over the top is the fact that Hayes provides the macros for free on his website. Instead of spending loads of time figuring out how to translate my statistical knowledge into code, I can implement these ideas immediately. I know some people prefer to have absolute control over these processes, but I am not one of them.

In short, you need this book.
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