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Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach

Contributor(s): Hayes, Andrew F (Author)

ISBN: 9781462549030

Publisher: Guilford Publications

Hardcover
$92.00
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Pub Date: January 24, 2022

Dewey: 001.422

LCCN: 2021031108

Lexile Code: 0000

Features: Annotated, Bibliography, Illustrated, Index, Price on Product

Target Age Group: NA to NA

Physical Info: 1.50" H x 10.10" L x 7.10" W ( 3.00 lbs) 732 pages

Series: Methodology in the Social Sciences

Descriptions, Reviews, etc.

Description: "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"--

Review Quotes: "A very nice book that is readable enough for the intermediate statistics user but with enough technical detail to appeal to advanced users as well....This book would make an excellent textbook for an advanced graduate-level multiple regression course, or just a great resource for the interested reader." (on the first edition)-- "Journal of Educational Measurement" (8/1/2014 12:00:00 AM)

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