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

ISBN-10: 1609182308
ISBN-13: 9781609182304
Edition: 2013
Authors: Andrew F. Hayes
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Book details

List price: $66.00
Copyright year: 2013
Publisher: Guilford Publications
Publication date: 5/6/2013
Binding: Hardcover
Pages: 507
Size: 7.25" wide x 10.25" long x 1.25" tall
Weight: 2.376
Language: English

Andrew Hayes (Ph.D., Cornell University; B.A., San Jose State University) holds joint appointments in Communication and Psychology at The Ohio State University. His training is in quantitative psychology and his specialties are research methodology, psychometrics, data analysis, and the application of psy�chological knowledge and theory to communication processes.� He has published in the statistical meth�odology, social psychology, and public opinion literatures and is author of the forthcoming book Statisti�cal Methods for Communication Science (LEA).

Fundamental Concepts
Introduction
A Scientist in Training
Questions of Whether, If, How, and When
Conditional Process Analysis
Correlation, Causality, and Statistical Modeling
Statistical Software
Overview of This Book
Chapter Summary
Simple Linear Regression
Correlation and Prediction
The Simple Linear Regression Equation
Statistical Inference
Assumptions for Interpretation and Statistical Inference
Chapter Summary
Multiple Linear Regression
The Multiple Linear Regression Equation
Partial Association and Statistical Control
Statistical Inference in Multiple Regression
Statistical and Conceptual Diagrams
Chapter Summary
Mediation Analysis
The Simple Mediation Model
The Simple Mediation Model
Estimation of the Direct, Indirect, and Total Effects of X
Example with Dichotomous X: The Influence of Presumed Media Influence
Statistical Inference
An Example with Continuous X: Economic Stress among Small-Business Owners
Chapter Summary
Multiple Mediator Models
The Parallel Multiple Mediator Model
Example Using the Presumed Media Influence Study
Statistical Inference
The Serial Multiple Mediator Model
Complementarity and Competition among Mediators
OLS Regression versus Structural Equation Modeling
Chapter Summary
Miscellaneous Topics in Mediation Analysis
What about Baron and Kenny?
Confounding and Causal Order
Effect Size
Multiple Xs or Ys: Analyze Separately or Simultaneously?
Reporting a Mediation Analysis
Chapter Summary
Moderation Analysis
Fundamentals of Moderation Analysis
Conditional and Unconditional Effects
An Example: Sex Discrimination in the Workplace
Visualizing Moderation
Probing an Interaction
Chapter Summary
Extending Moderation Analysis Principles
Moderation Involving a Dichotomous Moderator
Interaction between Two Quantitative Variables
Hierarchical versus Simultaneous Entry
The Equivalence between Moderated Regression Analysis and a 2 � 2 Factorial Analysis of Variance
Chapter Summary
Miscellaneous Topics in Moderation Analysis
Truths and Myths about Mean Centering
The Estimation and Interpretation of Standardized Regression Coefficients in a Moderation Analysis
Artificial Categorization and Subgroups Analysis
More Than One Moderator
Reporting a Moderation Analysis
Chapter Summary
Conditional Process Analysis
Fundamentals of Conditional Process Analysis
Examples of Conditional Process Models in the Literature
Conditional Direct and Indirect Effects
Example: Hiding Your Feelings from Your Work Team
Statistical Inference
Conditional Process Analysis in PROCESS
Chapter Summary
Further Examples of Conditional Process Analysis
Revisiting the Sexual Discrimination Study
Moderation of the Direct and Indirect Effects in a Conditional Process Model
Visualizing the Direct and Indirect Effects
Mediated Moderation
Chapter Summary
Miscellaneous Topics in Conditional Process Analysis
A Strategy for Approaching Your Analysis
Can a Variable Simultaneously Mediate and Moderate Another Variable's Effect?
Comparing Conditional Indirect Effects and a Formal Test of Moderated Mediation
The Pitfalls of Subgroups Analysis
Writing about Conditional Process Modeling
Chapter Summary
Appendices
Using PROCESS
Monte Carlo Confidence Intervals in SPSS and SAS
References
Author Index
Subject Index
About the Author

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