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Introduction to mediation, moderation, and conditional process analysis : a regression-based approach

Hayes, Andrew F., author.
New York, NY : The Guilford Press, [2022]

"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"--

Bibliographic Information

Format: Book
Author: Hayes, Andrew F.,
Subject: Social sciences
Mediation (Statistics)
Regression analysis
Publication Year:2022
Language:English
Published:New York, NY : The Guilford Press, [2022]
ISBN:9781462549030
1462549039
Series:Methodology in the social sciences
Notes:Includes bibliographical references (pages 671-703) and indexes.
Course: PSY213

Availability at HKSYU Library

Location Call number Status
English Book (4/F) 001.422 HAY 2022 Due Date:2026-08-01