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

By:

Hayes, Andrew F [author.]

Series: Methodology in the social sciencesPublisher: New York, NY : The Guilford Press, [2022]Edition: Third editionDescription: xix, 732 pages ; illustrations : 26cmContent type:

text

Media type:

unmediated

Carrier type:

volume

ISBN:

9781462549030

Subject(s):

DDC classification:

001.4/22 23

LOC classification:

HA31.3 .H39 2022

Online resources:

Francis Light Digital Collection

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.

List(s) this item appears in: Business (2022) | Academic Resources

Average rating: 0.0 (0 votes)

Holdings
Item type	Current library	Shelving location	Call number	URL	Status	Date due	Barcode
ACADEMIC	FRANCIS LIGHT LIBRARY	SHELVES 1	001.422 HAY (Browse shelf(Opens below))		Available		00001683
BOOK GPS	FRANCIS LIGHT LIBRARY			Link to resource	Not for loan

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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