Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach

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. 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 Process ; Constructing And Customizing Models In Process ; Monte Carlo Confidence Intervals In Spss And Sas. Andrew F. Hayes ; Series Editor's Note By Todd D. Little. Includes Bibliographical References And Indexes.