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Introduction to Mediation, Moderation, and Conditional Process Analysis [Print Replica] [Format Kindle]

Andrew F. Hayes

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  • ISBN-10 : 1609182308
  • ISBN-13 : 978-1609182304
  • Edition : 1
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Descriptions du produit

Présentation de l'éditeur

Explaining the fundamentals of mediation and moderation analysis, this engaging book also shows how to integrate the two using an innovative strategy known 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.

Biographie de l'auteur

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.


Détails sur le produit

  • Format : Format Kindle
  • Taille du fichier : 8242 KB
  • Nombre de pages de l'édition imprimée : 507 pages
  • Editeur : The Guilford Press; Édition : 1 (22 avril 2013)
  • Vendu par : Amazon Media EU S.à r.l.
  • Langue : Anglais
  • ASIN: B00F07L1VU
  • Synthèse vocale : Non activée
  • X-Ray :
  • Word Wise: Non activé
  • Composition améliorée: Non activé
  • Classement des meilleures ventes d'Amazon: n°183.060 dans la Boutique Kindle (Voir le Top 100 dans la Boutique Kindle)

Commentaires en ligne

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Commentaires client les plus utiles sur Amazon.com (beta)
Amazon.com: 4.7 étoiles sur 5  29 commentaires
13 internautes sur 14 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 vérifié
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 internautes sur 6 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
Format:Relié
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 internautes sur 4 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 vérifié
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 Turned me into a stats geek! 10 avril 2015
Par M Mac - Publié sur Amazon.com
Format:Relié|Achat vérifié
I wasn't a stats geek until now. Great writer and teacher. He also maintains a website with statistical package add-ons and scripts. If you have a question about mediation and/or moderation using regression, I bet there's an answer in this book.
1 internautes sur 1 ont trouvé ce commentaire utile 
5.0 étoiles sur 5 GREAT resource for statistical analysis 17 février 2016
Par Cat - Publié sur Amazon.com
Format:Relié|Achat vérifié
This is my go-to book for for analysis, at this point. It's written clearly, with great examples supporting the theories and methodologies described. When I need a refresher or am trying to plan the design/analysis of research, it is a book that can be relied on explicitly describe and differentiate between various data analytic approaches. The text is also very well laid-out, and has references to other articles that are very helpful. As a whole, it can't be beat.
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