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Introduction to Mediation

Name: Introduction to Mediation
Brand: Guilford Publications
SKU: 9781462549030
Price: 403.17 PLN
Availability: InStock

A Regression-Based Approach

Autor: Andrew F. Hayes

Język:

Oprawa: Twarda

Wydawca: Guilford Publications

Dostępność: Dostępna u dostawcy

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403.17 zł

Acclaimed for its thorough presentation of mediation, moderation, and conditional process analysis,...

Informacje o książce

Autor

Andrew F. Hayes

Język

Angielski

Oprawa

Książka - Twarda

Data wydania

2022

strony

732

EAN

9781462549030

ISBN

1462549039

Enbook ID

36679517

Wydawca

Guilford Publications

Waga

1430

Wymiary

261 x 186 x 44

Pełny opis

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.

New to This Edition
*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.
*Expanded discussion of effect scaling and the difference between unstandardized, completely standardized, and partially standardized effects.
*Discussion of the meaning of and how to generate the correlation between mediator residuals in a multiple-mediator model, using a new PROCESS option.
*Discussion of a method for comparing the strength of two specific indirect effects that are different in sign.
*Introduction of a bootstrap-based JohnsonNeyman-like approach for probing moderation of mediation in a conditional process model.
*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.

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