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This book reviews methods of conceptualizing, measuring, and analyzing interdependent data in developmental and behavioral sciences. Quantitative and developmental experts describe best practices for modeling interdependent data that stem from interactions within families, relationships, and peer groups, for example. Complex models for analyzing longitudinal data, such as growth curves and time series, are also presented.

Many contributors are innovators of the techniques and all are able to clearly explain the methodologies and their practical problems including issues of...

Reviews methods of conceptualizing, measuring, and analyzing interdependent data in developmental and behavioral sciences. This book addresses The Actor-Partner Interdependence Model for analyzing influence between two individuals; and The Intraclass Correlational Approach for analyzing distinguishable roles (parent-child) dyadic data.