- 458 pages
- English
- PDF
- Available on iOS & Android
Dyadic Data Analysis
About This Book
Interpersonal phenomena such as attachment, conflict, person perception, learning, and influence have traditionally been studied by examining individuals in isolation, which falls short of capturing their truly interpersonal nature. This book offers state-of-the-art solutions to this age-old problem by presenting methodological and data-analytic approaches useful in investigating processes that take place among dyads: couples, coworkers, parent and child, teacher and student, or doctor and patient, to name just a few. Rich examples from psychology and across the behavioral and social sciences help build the researcher's ability to conceptualize relationship processes; model and test for actor effects, partner effects, and relationship effects; and model and control for the statistical interdependence that can exist between partners. The companion website provides clarifications, elaborations, corrections, and data and files for each chapter.
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Table of contents
- Cover
- Half title page
- Series page
- Title page
- Copyright page
- Dedication
- About the Authors
- Foreword
- Acknowledgments
- Contents
- 1. Basic Definitions and Overview
- 2. The Measurement of Nonindependence
- 3. Analyzing Between- and Within-Dyads Independent Variables
- 4. Using Multilevel Modeling to Study Dyads
- 5. Using Structural Equation Modeling to Study Dyads
- 6. Tests of Correlational Structure and Differential Variance
- 7. Analyzing Mixed Independent Variables: The ActorâPartner Interdependence Model
- 8. Social Relations Designs with Indistinguishable Members
- 9. Social Relations Designs with Roles
- 10. One-with-Many Designs
- 11. Social Network Analysis
- 12. Dyadic Indexes
- 13. Over-Time Analyses: Interval Outcomes
- 14. Over-Time Analyses: Dichotomous Outcomes
- 15. Concluding Comments
- References
- Index