Psychology Press

About the Book

This is the first comprehensive book that reviews the various methods of conceptualizing, measuring, and analyzing interdependent data. Noted quantitative experts describe best practices for modeling the interdependent data relevant to the behavioral sciences, with a focus on interactions within families, between parents and children, between siblings, and within peer groups. Analyzing longitudinal data is described as well as more complex longitudinal models such as growth curves and time series. Practical problems including issues of measurement, missing data, power and sample size, and heterogeneity in the form of subgroups are addressed. The book offers a balance between analytic strategies and applications of these methodologies. The book addresses a number of models including:

• The Actor-Partner Interdependence Model for analyzing influence between two individuals, including bi-directional influences.
• The Intraclass Correlational Approach for analyzing distinguishable roles (i.e. parent-child) or exchangeable (i.e. same-sex, same-age) dyadic data.
• The Social Relations Model for analyzing group interdependency.
• Social Network Analysis approaches for relationships between individuals that are widely used in fields such as sociology, economics, and political science.

The contributors are innovators of the methodological techniques presented and/or are noted for their ability to clearly explain their methodologies and apply these approaches to novel research questions. Each contributor provides clear and comprehensive descriptions of the methods including their limitations. Unique developmental questions that can be answered using these techniques are explored.

Intended for developmental and behavioral science graduate students and researchers including developmental, social, health, clinical, personality, political, and forensic psychologists, this book will also serve as a resource in advanced methods or applications courses where this technique is used.