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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. [print]

By: Contributor(s): Material type: TextTextSeries: Methodology in the social sciencesPublication details: New York : The Guilford Press, [(c)2018.Edition: Second editionDescription: xx, 692 pages : illustrations ; 27 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781462534654
  • 1462534651
Other title:
  • Mediation, moderation, and conditional process analysis
Subject(s): LOC classification:
  • HA31.3.I587 2018
  • HA31.3.L778.I587 2018
Online resources:
Available additional physical forms:
  • COPYRIGHT NOT covered - Click this link to request copyright permission:
Contents:
Fundamentals. Introduction ; Fundamentals of linear regression analysis Mediation Analysis. The simple mediation model ; Casual steps, confounding, and casual order ; More than one mediator ; Mediation analysis with a multicategorical antecedent Moderation Analysis. Fundamentals of moderation analysis ; Extending the fundamental principles of moderation analysis ; Some myths and additional extensions of moderation analysis ; Multicategorical focal antecedents and moderators Conditional Process Analysis. Fundamentals of conditional process analysis ; Further examples of conditional process analysis ; Conditional process analysis with a multicategorical antecedent Miscellanea. Miscellaneous topics and some frequently asked questions Appendices: Using Puerto RicoOCESS ; Constructing and customizing models in Puerto RicoOCESS ; Monte Carlo confidence intervals in SPSS and SAS.
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"--Back cover.
Item type: Circulating Book (checkout times vary with patron status) List(s) this item appears in: Cilla
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Item type Current library Collection Call number Status Date due Barcode
Circulating Book (checkout times vary with patron status) G. Allen Fleece Library Circulating Collection - First Floor Non-fiction HA31.3.H39 2018 (Browse shelf(Opens below)) Available 31923001719216

Fundamentals. Introduction ; Fundamentals of linear regression analysis Mediation Analysis. The simple mediation model ; Casual steps, confounding, and casual order ; More than one mediator ; Mediation analysis with a multicategorical antecedent Moderation Analysis. Fundamentals of moderation analysis ; Extending the fundamental principles of moderation analysis ; Some myths and additional extensions of moderation analysis ; Multicategorical focal antecedents and moderators Conditional Process Analysis. Fundamentals of conditional process analysis ; Further examples of conditional process analysis ; Conditional process analysis with a multicategorical antecedent Miscellanea. Miscellaneous topics and some frequently asked questions Appendices: Using Puerto RicoOCESS ; Constructing and customizing models in Puerto RicoOCESS ; Monte Carlo confidence intervals in SPSS and SAS.

"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"--Back cover.

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