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

Andrew F. Hayes.
Bok · Engelsk · 2022 · Electronic books.

Omfang	1 online resource (755 pages)
Utgave	Third edition.
Opplysninger	Part I. Fundamentals -- 1. Introduction -- 2. Fundamentals of Linear Regression Analysis -- Part II. Mediation Analysis -- 3. The Simple Mediation Model -- 4. Causal Steps, Scaling, Confounding, and Causal Order -- 5. More Than One Mediator -- 6. Mediation Analysis with a Multicategorical Antecedent -- Part III. Moderation Analysis -- 7. Fundamentals of Moderation Analysis -- 8. Extending the Fundamental Principles of Moderation Analysis -- 9. Some Myths and Additional Extensions of Moderation Analysis -- 10. Multicategorical Focal Antecedents and Moderators -- Part IV. Conditional Process Analysis -- 11. Fundamentals of Conditional Process Analysis -- 12. Further Examples of Conditional Process Analysis -- 13. Conditional Process Analysis with a Multicategorical Antecedent --Part V. Miscellane -- 14. Miscellaneous Topics and Some Frequently Asked Questions. - 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 Johnson-Neyman-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.
Emner	Mediation (Statistics) Regression analysis. Social sciences - Statistical methods.
Sjanger	Electronic books.
Dewey	001.422
ISBN	1-4625-4904-7. - 1-4625-4905-5