- Hardcover: 507 pages
- Publisher: Guilford Press; 1 edition (14 June 2013)
- Language: English
- ISBN-10: 1609182308
- ISBN-13: 978-1609182304
- Product Dimensions: 18.4 x 3.2 x 26 cm
- Average Customer Review: Be the first to review this item
- Amazon Bestsellers Rank: #2,74,656 in Books (See Top 100 in Books)
Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach (Methodology in the Social Sciences) Hardcover – 14 Jun 2013
There is a newer edition of this item:
Customers who bought this item also bought
Customers who viewed this item also viewed
Description for Introduction to Mediation, Moderation, and Conditional Process Analysis: A
"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, Department of Educational Psychology, University of Nebraska-Lincoln
"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, Department of Psychology, University of South Carolina
"This decidedly readable, informative book is perfectly suited for a range of audiences, from the novice graduate student not quite ready for SEM to the advanced statistics instructor. Even the seasoned quantitative methodologist will benefit from Hayes's years of accumulated wisdom as he expertly navigates this burgeoning--and at times inconsistent--literature. This book is particularly well suited for graduate-level courses. Hayes brings conditional process analysis to life with such passion that even the most 'stat-o-phobic' will become convinced that they too can master SPSS (or SAS) process. The thoughtful use of real-life examples, accompanied by SPSS and SAS syntax and output, makes the book highly accessible."--Shelley Brown, PhD, Department of Psychology, Carleton University, Canada
About the Author
Andrew F. Hayes, PhD, is Professor of Quantitative Psychology at The Ohio State University. His research and writing on data analysis has been published widely. Dr. Hayes is the author of Introduction to Mediation, Moderation, and Conditional Process Analysis and Statistical Methods for Communication Science, as well as coauthor, with Richard B. Darlington, of Regression Analysis and Linear Models. He teaches data analysis, primarily at the graduate level, and frequently conducts workshops on statistical analysis throughout the world. His website is www.afhayes.com.
Enter your mobile number or email address below and we'll send you a link to download the free Kindle App. Then you can start reading Kindle books on your smartphone, tablet, or computer - no Kindle device required.
To get the free app, enter mobile phone number.
What other items do customers buy after viewing this item?
|5 star (0%)|
|4 star (0%)|
|3 star (0%)|
|2 star (0%)|
|1 star (0%)|
Most helpful customer reviews on Amazon.com
This book was without a doubt a hit. The book was very easy to follow and understand, yet opened up a whole new realm of model testing for me. And his SPSS add-in is free to use, making it incredibly easy to jump right in to actual statistical analysis. Saved tons and tons of time and stress trying to develop my own. If I were looking for mediation or moderation for any of my current research projects, I'd definitely spend the same amount for just the SPSS macro with a quick and dirty how-to guide. And with this you get so much more.
Definitely worth purchasing, a reference that can prove invaluable information for analysis!
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.