Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach (Record no. 49811)

MARC details
000 -LEADER
fixed length control field 02519 a2200241 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250320092734.0
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781462549030
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 001.422 HAY
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Hayes, Andrew F
245 ## - TITLE STATEMENT
Title Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach
250 ## - EDITION STATEMENT
Edition statement 3
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc Guilford Press
Date of publication, distribution, etc 2022
Place of publication, distribution, etc New York
300 ## - PHYSICAL DESCRIPTION
Extent 732
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE
Title Methodology in the Social Sciences
520 ## - SUMMARY, ETC.
Summary, etc Acclaimed for its thorough presentation of mediation, moderation, and conditional process analysis, this book has been updated to reflect the latest developments in PROCESS for SPSS, SAS, and, new to this edition, R. Using the principles of ordinary least squares regression, Andrew F. Hayes illustrates each step in an analysis using diverse examples from published studies, and displays SPSS, SAS, and R code for each example. Procedures are outlined for estimating and interpreting direct, indirect, and conditional effects; probing and visualizing interactions; testing hypotheses about the moderation of mechanisms; and reporting different types of analyses. Readers gain an understanding of the link between statistics and causality, as well as what the data are telling them. The companion website (www.afhayes.com) provides data for all the examples, plus the free PROCESS download.<br/> New to This Edition<br/>*Rewritten Appendix A, which provides the only documentation of PROCESS, including a discussion of the syntax structure of PROCESS for R compared to SPSS and SAS.<br/>*Expanded discussion of effect scaling and the difference between unstandardized, completely standardized, and partially standardized effects.<br/>*Discussion of the meaning of and how to generate the correlation between mediator residuals in a multiple-mediator model, using a new PROCESS option.<br/>*Discussion of a method for comparing the strength of two specific indirect effects that are different in sign.<br/>*Introduction of a bootstrap-based Johnson-Neyman-like approach for probing moderation of mediation in a conditional process model.<br/>*Discussion of testing for interaction between a causal antecedent variable [ital]X[/ital] and a mediator [ital]M[/ital] in a mediation analysis, and how to test this assumption in a new PROCESS feature.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Social Sciences-Statistical Methods
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Mediation
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Moderation
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Mediation (Statistics)
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Regression Analysis
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Little, Todd D (Series Editor)
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Book
Source of classification or shelving scheme Dewey Decimal Classification

No items available.