Introduction to mediation, moderation, and conditional process analysis : a regression-based approach / Andrew F. Hayes.

By:

Hayes, Andrew F [author.]

Material type: Text

TextSeries: Methodology in the social sciencesPublisher: New York, NY : The Guilford Press, [2022]Edition: Third editionDescription: pages cmContent type:

text

Media type:

unmediated

Carrier type:

volume

ISBN:

9781462549030

Subject(s):

DDC classification:

001.4/22 23 HAY

LOC classification:

HA31.3 .H39 2022

Summary: "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.

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Holdings
Item type	Current library	Call number	Status	Date due	Barcode
Book	Indian Institute of Management Visakhapatnam	001.4/22 HAY (Browse shelf(Opens below))	Checked out	03/21/2024	001610

Includes bibliographical references and index.

"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.

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