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Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach [Anglais] [Relié]

Andrew F. Hayes

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Introduction to Mediation, Moderation, and Conditional Process Analysis 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 Full description

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Amazon.com: 4.8 étoiles sur 5  9 commentaires
4 internautes sur 4 ont trouvé ce commentaire utile 
5.0 étoiles sur 5 Worth keeping within easy reach of my desk 8 octobre 2013
Par Stephen A. Spiller - Publié sur Amazon.com
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 internautes sur 7 ont trouvé ce commentaire utile 
4.0 étoiles sur 5 Good stuff but missing a good output explanation 31 juillet 2013
Par BizDoc - Publié sur Amazon.com
Format:Relié|Achat authentifié par Amazon
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 internautes sur 2 ont trouvé ce commentaire utile 
5.0 étoiles sur 5 Great book - a must have reference book for mediation analysis 27 novembre 2013
Par E. Minton - Publié sur Amazon.com
Format:Relié|Achat authentifié par Amazon
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 internautes sur 2 ont trouvé ce commentaire utile 
5.0 étoiles sur 5 Very clear and relevant text on mediation and moderation 6 novembre 2013
Par H. Bergsieker - Publié sur Amazon.com
Format:Relié|Achat authentifié par Amazon
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 internautes sur 2 ont trouvé ce commentaire utile 
5.0 étoiles sur 5 Must have book for researchers 4 septembre 2013
Par LA Cavanaugh - Publié sur Amazon.com
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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