Introduction to Mediation, Moderation, and Conditional Process Analysis : A Regression-Based Approach

Hayes, Andrew F.

ISBN 10: 1609182308 / ISBN 13: 9781609182304

Edité par Taylor & Francis Group, 2013

A propos de cet article

Used book that is in clean, average condition without any missing pages.

N° de réf. du vendeur 18687055-6

Détails bibliographiques

• Titre: Introduction to Mediation, Moderation, and Conditional Process Analysis : A Regression-Based Approach
• Éditeur: Taylor & Francis Group
• Date de parution: 2013
• Langue: anglais
• ISBN à 10 chiffres: 1609182308
• ISBN à 13 chiffres: 9781609182304
• Reliure: Couverture rigide
• Édition: 1st Edition.
• État de l'article: Good

A propos de ce titre

Synopsis

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 companion 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.

À propos de l?auteur

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.