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.
Weiterführende Informationen
Personen: Little, Todd D. Card, Noel A. Selig, James P.
CV 2000 C266-01
Card, Noel A.:
Modeling dyadic and interdependent data in the developmental and behavioral sciences / ed. by Noel A. Card, James P. Selig and Todd D. Little. - New York [u.a.] : Routledge, 2008. - IX, 450 S. : graph. Darst. - Includes indexes
ISBN 978-0-8058-5973-7 softcover
Sozialpsychologie - Buch