Modeling Dyadic and Interdependent Data in the Developmental and Behavioral Sciences
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Modeling Dyadic and Interdependent Data in the Developmental and Behavioral Sciences by Noel A. Card
Book DescriptionThis 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.
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Book DetailsISBN: 9780805859720
(229mm x 152mm x 30mm)
Imprint: Routledge Academic
Publisher: Taylor & Francis Inc
Publish Date: 9-Jul-2008
Country of Publication: United States
Books By Author Noel A. Card
Journal of Research on Adolescence, Paperback (April 2011)
Includes a number of invited contributions by international leaders in the interdisciplinary field of adolescence development. This book reviews major subfields of study within the interdisciplinary field of adolescence studies. It also reviews scientific and scholarly research published during the first decade of the 21st century (2000-2010).
Modeling Contextual Effects in Longitudinal Studies, Paperback (February 2007)» View all books by Noel A. Card
Longitudinal data are critical for understanding how individuals change across time. Researchers face a complex task when modeling the contexts in which longitudinal processes unfold. This book reviews the challenges and approaches to modeling these influences and provides data analytic strategies for behavioral and social science researchers.
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Author Biography - Noel A. Card
Noel A. Card is Assistant Professor of Family Studies and Human Development at the University of Arizona. He received his PhD in Clinical Psychology from St. John's University. James P. Selig is a Doctoral Candidate in Quantitative Psychology at the University of Kansas. Todd D. Little is Director of the Research Design and Analysis Unit and Director of the Quantitative Psychology doctoral training program at the University of Kansas. He received his PhD in Developmental Psychology from the University of California at Riverside.
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