Introduction to Statistical Mediation Analysis

1. Auflage 2008
ISBN: 978-0-8058-3974-6
Verlag: Taylor & Francis Inc

Buch, Englisch, 488 Seiten, Format (B × H): 237 mm x 159 mm, Gewicht: 808 g

Reihe: Multivariate Applications Series

This volume introduces the statistical, methodological, and conceptual aspects of mediation analysis. Applications from health, social, and developmental psychology, sociology, communication, exercise science, and epidemiology are emphasized throughout.

There are five parts to the book. Part 1 covers definitions, history, and applications for the mediation model. In Part II the conceptual model described in the first part of the book is quantified in the estimation of mediation in traditional single mediator models. This part of the book describes the estimation of mediation effects including assumptions of the methods, statistical tests, and construction of confidence limits for the mediated effect. Part III describes advanced mediation models with new chapters describing collider, confounder, and mediator third-variable models,the potential outcomes causal mediation model, and Bayesian mediation methods. Part IV describes the traditonal and then the potential outcomes approach for two or more mediators, categorical variables, structural equation modeling, measurement, multilvel models, and longitudinal mediation models. Part V, discusses general issues in the investigation of mediation including experimental designs, additional approaches to identifying mediating variable, guidelines for planning and conducting a mediation study, and possible future directions.

The primary audiences for this book are advanced undergraduate students, graduate students, and researchers from many substantive areas. The first type of reader will consist of persons skilled in a substantive area but less experienced with statistical methods. Researchers planning a study where mediating mechanisms are investigated also fall in this group. The second type of reader is sophisticated statistically but without much exposure to mediation analysis.

Autoren/Hrsg.

MacKinnon, David

Fachgebiete

• Sozialwissenschaften Psychologie Psychologie / Allgemeines & Theorie Psychologie: Allgemeines
• Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
• Mathematik | Informatik Mathematik Stochastik Wahrscheinlichkeitsrechnung

Inhaltsverzeichnis

Preface to First Edition. Preface to Second Edition. Chapter 1: Introduction. Chapter 2: Applications of the Mediation Model. Chapter 3: Single mediator model. Chapter 4: Single mediator model details. Chapter 5: XM Interaction. Chapter 6: Confounding, colliders and mediation. Chapter 7: Potential Outcomes Framework for the Single Mediator Model. Chapter 8: Resampling Methods. Chapter 9: Bayesian Mediation Methods. Chapter 10: Multiple Mediator Models. Chapter 11: Mediation with Categorical Data old Categorical Outcomes Models. Chapter 12: Path Analysis Mediation Models. Chapter 13: Measurement and Mediation. Chapter 14: General Mediation and Moderation Models. Chapter 15: Multilevel Mediation Regression Models. Chapter 16: Longitudinal Mediation Models. Chapter 17: Experimental Designs to Assess Mediating Processes. Chapter 18: Additional approaches to identifying mediating variables. Chapter 19: Conclusions and future directions. References. Appendix A: Notation.

Über Autor(innen)

David P. MacKinnon is a Foundation and Regents Professor of psychology at Arizona State University. He is a globally recognized leader in quantitative psychology with primary substantive interest in prevention science and methodology for understanding how interventions achieve effects.