ou
Identifiez-vous pour activer la commande 1-Click.
ou
en essayant gratuitement Amazon Premium pendant 30 jours. Votre inscription aura lieu lors du passage de la commande. En savoir plus.
Amazon Rachète votre article
Recevez un chèque-cadeau de EUR 15,68
Amazon Rachète cet article
Plus de choix
Vous l'avez déjà ? Vendez votre exemplaire ici
Désolé, cet article n'est pas disponible en
Image non disponible pour la
couleur :
Image non disponible

 

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

Andrew F. Hayes

Prix : EUR 51,79 Livraison à EUR 0,01 En savoir plus.
  Tous les prix incluent la TVA
o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o
Il ne reste plus que 3 exemplaire(s) en stock (d'autres exemplaires sont en cours d'acheminement).
Expédié et vendu par Amazon. Emballage cadeau disponible.
Voulez-vous le faire livrer le jeudi 4 septembre ? Choisissez la livraison en 1 jour ouvré sur votre bon de commande. En savoir plus.

Formats

Prix Amazon Neuf à partir de Occasion à partir de
Format Kindle EUR 35,83  
Relié EUR 51,79  
Vendez cet article - Prix de rachat jusqu'à EUR 15,68
Vendez Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach contre un chèque-cadeau d'une valeur pouvant aller jusqu'à EUR 15,68, que vous pourrez ensuite utiliser sur tout le site Amazon.fr. Les valeurs de rachat peuvent varier (voir les critères d'éligibilité des produits). En savoir plus sur notre programme de reprise Amazon Rachète.

Offres spéciales et liens associés



Descriptions du produit

Présentation de l'éditeur

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.

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


En savoir plus sur l'auteur

Découvrez des livres, informez-vous sur les écrivains, lisez des blogs d'auteurs et bien plus encore.

Dans ce livre (En savoir plus)
Parcourir les pages échantillon
Couverture | Copyright | Table des matières | Extrait | Index
Rechercher dans ce livre:

Commentaires en ligne 

Il n'y a pas encore de commentaires clients sur Amazon.fr
5 étoiles
4 étoiles
3 étoiles
2 étoiles
1 étoiles
Commentaires client les plus utiles sur Amazon.com (beta)
Amazon.com: 4.9 étoiles sur 5  14 commentaires
8 internautes sur 9 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.
5 internautes sur 5 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.
2 internautes sur 2 ont trouvé ce commentaire utile 
5.0 étoiles sur 5 This book will change your life. 24 avril 2014
Par Mountain Man - Publié sur Amazon.com
Format:Relié|Achat vérifié
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.
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 vérifié
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 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.
Ces commentaires ont-ils été utiles ?   Dites-le-nous

Discussions entre clients

Le forum concernant ce produit
Discussion Réponses Message le plus récent
Pas de discussions pour l'instant

Posez des questions, partagez votre opinion, gagnez en compréhension
Démarrer une nouvelle discussion
Thème:
Première publication:
Aller s'identifier
 

Rechercher parmi les discussions des clients
Rechercher dans toutes les discussions Amazon
   


Rechercher des articles similaires par rubrique


Commentaires

Souhaitez-vous compléter ou améliorer les informations sur ce produit ? Ou faire modifier les images?