Modeling Dyadic and Interdependent Data in the Developmental and Behavioral Sciences

by Card; Noel A.

• ISBN13: 9780805859720
• ISBN10: 0805859721
• Edition: 1st
• Format: Hardcover
• Copyright: 2008-07-09
• Publisher: Routledge

Summary

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 measurement, missing data, power and sample size, and the specific limitations of each method. Featuring a balance between analytic strategies and applications, the book addresses: The Actor-Partner Interdependence Model for analyzing influence between two individuals The Intraclass Correlational Approach for analyzing distinguishable roles (parent-child) or exchangeable (same-sex) dyadic data The Social Relations Model for analyzing group interdependency Social Network Analysis approaches for relationships between individuals This book is intended for graduate students and researchers across the developmental, social, behavioral, and educational sciences. It is an excellent research guide and a valuable resource for advanced methods courses.

Table of Contents

Preface	p. vii
Modeling Dyadic and Interdependent Data in Developmental Research: An Introduction	p. 1
Incorporating Interdependence Into Developmental Research: Examples From the Study of Homophily and Homogeneity	p. 11
Application of the Social Relations Model Formulas to Developmental Research	p. 39
Analyzing Social Networks in Adolescence	p. 61
Dyadic Models Emerging From the Longitudinal Structural Equation Modeling Tradition: Parallels With Ecological Models of Interspecific Interactions	p. 87
Dynamic Factor Analysis of Dyadic Affective Processes With Intergroup Differences	p. 107
It Takes Two: A Dyadic, SEM-Based Perspective on Personality Development	p. 139
Comparing MLM and SEM Approaches to Analyzing Developmental Dyadic Data: Growth Curve Models of Hostility in Families	p. 165
Techniques for Modeling Dependency in Interchangeable Dyads	p. 191
Variance Component Analysis of Generalized and Dyadic Peer Perceptions in Adolescence	p. 213
Using the Bivariate Social Relations Model to Study Dyadic Relationships: Early Adolescents' Perceptions of Friends' Aggression and Prosocial Behavior	p. 245
Modeling Interdependence Using the Social Relations Model: The Investment Model in Family Relationships	p. 277
Methods for Detecting Subgroups in Social Networks	p. 309
Can We Make Causal Inferences About the Influence of Children's Naturally Existing Social Networks on Their School Motivation?	p. 335
A Multilevel p[subscript 2] Model With Covariates for the Analysis of Binary Bully-Victim Network Data in Multiple Classrooms	p. 369
Beyond the Dyad: Prospects for Social Development	p. 387
Thinking About the Developmental Course of Relationships	p. 411
Author Index	p. 431
Subject Index	p. 445
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