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Introduction to mediation, moderation, and conditional process analysis : a regression-based approach / Andrew F. Hayes ; Series Editor's Note by Todd D. Little

Series: Methodology in the social sciencesPublisher: New York ; London : Guilford Press, [2018]Edition: Second editionDescription: xx, 692 p. : il. ; 27 cmISBN: 9781462534654 Subject(s): Conciliación

| Mediación

Contents:

Introduction Fundamentals of Linear Regression Analysis The Simple Mediation Model Causal Steps, Scaling, Confounding, and Causal Order More Than One Mediator Mediation Analysis with a Multicategorical Antecedent Fundamentals of Moderation Analysis Extending the Fundamental Principles of Moderation Analysis Some Myths and Additional Extensions of Moderation Analysis Multicategorical Focal Antecedents and Moderators Fundamentals of Conditional Process Analysis Further Examples of Conditional Process Analysis Conditional Process Analysis with a Multicategorical Antecedent Miscellaneous Topics and Some Frequently Asked Questions

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 (www.afhayes.com), along with links to download PROCESS.

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Title notes

Item type	Current location	Collection	Call number	Status	Date due	Barcode	Course reserves
Libro	Biblioteca Universidad Europea del Atlántico Fondo General	No ficción	316.485 HAY int	Available		4160	Evaluación de Programas e Intervenciones en Diferentes Contextos

Contiene bibliografía e índices.

Introduction
Fundamentals of Linear Regression Analysis
The Simple Mediation Model
Causal Steps, Scaling, Confounding, and Causal Order
More Than One Mediator
Mediation Analysis with a Multicategorical Antecedent
Fundamentals of Moderation Analysis
Extending the Fundamental Principles of Moderation Analysis
Some Myths and Additional Extensions of Moderation Analysis
Multicategorical Focal Antecedents and Moderators
Fundamentals of Conditional Process Analysis
Further Examples of Conditional Process Analysis
Conditional Process Analysis with a Multicategorical Antecedent
Miscellaneous Topics and Some Frequently Asked Questions

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 (www.afhayes.com), along with links to download PROCESS.