Modeling dyadic and interdependent data in the developmental and behavioral sciences
By Noel A. Card and Todd D. Little
"Modeling dyadic and interdependent data in the developmental and behavioral sciences" was published by Routledge in 2008 - London, it has 450 pages and the language of the book is English.
“Modeling dyadic and interdependent data in the developmental and behavioral sciences” Metadata:
- Title: ➤ Modeling dyadic and interdependent data in the developmental and behavioral sciences
- Authors: Noel A. CardTodd D. Little
- Language: English
- Number of Pages: 450
- Publisher: Routledge
- Publish Date: 2008
- Publish Location: London
“Modeling dyadic and interdependent data in the developmental and behavioral sciences” Subjects and Themes:
- Subjects: ➤ Methodology - Psychology - Interpersonal relations - Research - Psychology, research - Behavioral Research - Methods - Psychological Models - Research Design - Psychologie - Recherche - Méthodologie - Méthodes de simulation - Research & Methodology - Interaktion - Methode - Interpersoonlijke interactie - Data-analyse
Edition Specifications:
- Pagination: p. cm.
Edition Identifiers:
- The Open Library ID: OL16752409M - OL18807886W
- Online Computer Library Center (OCLC) ID: 710992951 - 221663023
- Library of Congress Control Number (LCCN): 2008013699
- ISBN-13: 9780805859737 - 9780805859720
- All ISBNs: 9780805859737 - 9780805859720
AI-generated Review of “Modeling dyadic and interdependent data in the developmental and behavioral sciences”:
"Modeling dyadic and interdependent data in the developmental and behavioral sciences" Table Of Contents:
- 1- Modeling dyadic and interdependent data in developmental research : an introduction / Noel A. Card, Todd D. Little, and James P. Selig
- 2- Incorporating interdependence into developmental research : examples from the study of homophily and homogeneity / Brett Laursen, Danielle Popp, William J. Burk, Margaret Kerr and Haakan Stattin
- 3- Application of the social relations model formulas to developmental research / William I. Cook
- 4- Analyzing social networks in adolescence / Antonius H.N. Cillessen and Casey Borch
- 5- Dyadic models emerging from the longitudinal structural equation modeling tradition : parallels with ecological models of interspecific interactions / Nilam Ram and Amy B. Pedersen
- 6- Multilevel structural equation models for contextual factors with inter-group differences / Emilio Ferrer and Keith F. Widaman
- 7- It takes two : a dyadic, sem-based perspective on personality development / Pamela Sadler and Erik Woody
- 8- Comparing MLM and SEM approaches to analyzing developmental dyadic data : growth curve models of hostility in families / Deborah A. Kashy and M Brent Donnellan
- 9- Techniques for modeling dependency in interchangeable dyads / James P. Selig, Kelly A. McNamara, Noel A. Card, and Todd D. Little
- 10- Variance component analysis of generalized and dyadic peer perceptions in adolescence / Thomas E. Malloy and Antonius H.N. Cillessen
- 11- Using the bivariate social relations model to study dyadic relationships : early adolescents' perceptions of friends' aggression and prosocial behavior / Noel A. Card, Todd D. Little, and James P. Selig
- 12- Modeling interdependence using the social relations model : the investment model in family relationships / Susan J.T. Branje, C. Finkenauer and W.H.J. Meeus
- 13- Methods for detecting subgroups in social networks / Jonathan Templin
- 14- Can we make causal inferences about the influence of children's naturally-existing social networks on their school motivation? / Thomas A. Kindermann
- 15- An application of the multilevel p2 model for binary network data on bully-victim relationships / Bonne J.H. Zijlstra, Rene Veenstra, and Marijtje A.J. Van Duijn
- 16- Beyond the dyad : prospects for social development / Charles F. Bond, Jr. and David Cross
- 17- Thinking about the developmental course of relationships / David A. Kenny.
"Modeling dyadic and interdependent data in the developmental and behavioral sciences" Description:
The Open Library:
"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." "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."--Jacket.
Open Data:
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
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