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.
New to This Edition
*Chapters on using each type of analysis with multicategorical antecedent variables.
*Example analyses using PROCESS v3, with annotated outputs throughout the book.
*More tips and advice, including new or revised discussions of formally testing moderation of a mechanism using the index of moderated mediation; effect size in mediation analysis; comparing conditional effects in models with more than one moderator; using R code for visualizing interactions; distinguishing between testing interaction and probing it; and more.
*Rewritten Appendix A, which provides the only documentation of PROCESS v3, including 13 new preprogrammed models that combine moderation with serial mediation or parallel and serial mediation.
*Appendix B, describing how to create customized models in PROCESS v3 or edit preprogrammed models.
Author(s): Andrew F. Hayes
Series: Methodology in the Social Sciences
Edition: 2nd
Publisher: Guilford Publications
Year: 2018
Language: English
Pages: xx+692
City: New York
""Cover""
""Half Title Page""
""Series Page""
""Title Page""
""Copyright""
""Series Editorâ#x80
#x99
s Note""
""Preface""
""Acknowledgments""
""Contents""
""Part I. Fundamentals""
""1. Introduction""
""1.1 A Scientist in Training""
""1.2 Questions of Whether, If, How, and When""
""1.3 Conditional Process Analysis""
""1.4 Correlation, Causality, and Statistical Modeling""
""1.5 Statistical and Conceptual Diagrams, and Antecedent and Consequent Variables""
""1.6 Statistical Software""
""1.7 Overview of This Book""
""1.8 Chapter Summary"" ""2. Fundamentals of Linear Regression Analysis""""2.1 Correlation and Prediction""
""2.2 The Simple Linear Regression Model""
""2.3 Alternative Explanations for Association""
""2.4 Multiple Linear Regression""
""2.5 Measures of Model Fit""
""2.6 Statistical Inference""
""2.7 Multicategorical Antecedent Variables""
""2.8 Assumptions for Interpretation and Statistical Inference""
""2.9 Chapter Summary""
""Part II. Mediation Analysis""
""3. The Simple Mediation Model""
""3.1 The Simple Mediation Model""
""3.2 Estimation of the Direct, Indirect, and Total Effects of X"" ""3.3 Example with Dichotomous X: The Influence of Presumed Media Influence""""3.4 Statistical Inference""
""3.5 An Example with Continuous X: Economic Stress among Small-Business Owners""
""3.6 Chapter Summary""
""4.1 What about Baron and Kenny?""
""4.2 Confounding and Causal Order""
""4.3 Effect Size""
""4.4 Statistical Power""
""4.5 Multiple Xs or Ys: Analyze Separately or Simultaneously?""
""4.6 Chapter Summary""
""4. Causal Steps, Confounding, and Causal Order""
""5. More Than One Mediator""
""5.1 The Parallel Multiple Mediator Model"" ""5.2 Example Using the Presumed Media Influence Study""""5.3 Statistical Inference""
""5.4 The Serial Multiple Mediator Model""
""5.5 Models with Parallel and Serial Mediation Properties""
""5.6 Complementarity and Competition among Mediators""
""5.7 Chapter Summary""
""6. Mediation Analysis with a Multicategorical Antecedent""
""6.1 Relative Total, Direct, and Indirect Effects""
""6.2 An Example: Sex Discrimination in the Workplace""
""6.3 Using a Different Group Coding System""
""6.4 Some Miscellaneous Issues""
""6.5 Chapter Summary""
""Part III. Moderation Analysis"" ""7. Fundamentals of Moderation Analysis""""7.1 Conditional and Unconditional Effects""
""7.2 An Example: Climate Change Disasters and Humanitarianism""
""7.3 Visualizing Moderation""
""7.4 Probing an Interaction""
""7.5 The Difference between Testing for Moderation and Probing It""
""7.6 Artificial Categorization and Subgroups Analysis""
""7.7 Chapter Summary""
""8. Extending the Fundamental Principles of Moderation Analysis""
""8.1 Moderation with a Dichotomous Moderator""
""8.2 Interaction between Two Quantitative Variables""
""8.3 Hierarchical versus Simultaneous Entry"" ""8.4 The Equivalence between Moderated Regression Analysis and a 2Ã#x97
2 Factorial Analysis of Variance""
