Introduction to mediation, moderation, and conditional process analysis a regression-based approach / Andrew F. Hayes, series editor's note by Todd D. Little.

Author/creator Hayes, Andrew F.
Format Electronic
EditionThird edition.
Publication InfoNew York ; London : The Guilford Press, [2022]
Descriptionxx, 732 pages : illustrations ; 26 cm.
Supplemental ContentFull text available from eBooks on EBSCOhost
Subjects

SeriesMethodology in the social sciences
Abstract "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"-- Provided by publisher.
Bibliography noteIncludes bibliographical references and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2021031108
ISBN9781462549030 (cloth)

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