Introduction to mediation, moderation, and conditional process analysis:
Other Title Information
a regression-based approach/
First Statement of Responsibility
Andrew F. Hayes.
EDITION STATEMENT
Edition Statement
Third edition.
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
New York, NY:
Name of Publisher, Distributor, etc.
The Guilford Press,
Date of Publication, Distribution, etc.
2022
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
xx, 732 pages.
SERIES
Series Title
Methodology in the social sciences.
INTERNAL BIBLIOGRAPHIES/INDEXES NOTE
Text of Note
Includes bibliographical references and index.
SUMMARY OR ABSTRACT
Text of Note
"Lauded for its easy-to-understand, conversational discussion of the fundamentals of mediation, moderation, and conditional process analysis, this book has been fully revised with 50% new content, including sections on working with multicategorical antecedent variables, the use of PROCESS version 3 for SPSS and SAS for model estimation, and annotated PROCESS v3 outputs. Using the principles of ordinary least squares regression, Andrew F. Hayes carefully explains procedures for testing hypotheses about the conditions under and the mechanisms by which causal effects operate, as well as the moderation of such mechanisms. Hayes shows how to estimate and interpret direct, indirect, and conditional effects; probe and visualize interactions; test questions about moderated mediation; and report different types of analyses. Data for all the examples are available on the companion website ([ital]www.afhayes.com[/ital]), along with links to download PROCESS"--