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Modeling Dyadic and Interdependent Data in the Developmental and Behavioral Sciences [Mīkstie vāki]

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Edited by (University of Arizona), Edited by (University of Kansas, Lawrence, USA), Edited by (University of Kansas, USA)
  • Formāts: Paperback / softback, 451 pages, height x width: 229x152 mm, weight: 612 g
  • Izdošanas datums: 10-Jul-2008
  • Izdevniecība: Routledge
  • ISBN-10: 080585973X
  • ISBN-13: 9780805859737
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  • Cena: 85,92 €
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Modeling Dyadic and Interdependent Data in the Developmental and Behavioral SciencesPalielināt
  • Formāts: Paperback / softback, 451 pages, height x width: 229x152 mm, weight: 612 g
  • Izdošanas datums: 10-Jul-2008
  • Izdevniecība: Routledge
  • ISBN-10: 080585973X
  • ISBN-13: 9780805859737
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9780805859737.html
Keywords:

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.

Recenzijas

"There are relatively few guides for researchers who explore the interdependence of human functioning This book will clearly rectify that limitation This book... [ is] of great value to many psychologists [ and] for doctoral seminars in developmental psychology or biostatistics...I highly recommend this book." -Theresa Thorkildsen, University of Illinois, Chicago

"In its groundbreaking translation of multiple methods to its topic, this is a very important book for those who conduct developmental research on dyads and other interdependent groups. The book is essential for those planning to study development in dyadic or group relationships. As the authors cogently argue, to fail to account for change in the study of relationships is to misunderstand relationships, while the failure to account for relationships in the study of change just as reliably results in a failure to understand change. Thus, the book positions itself to guide researchers in a direction essential for the field of developmental psychology." - Clifton R. Emery, PsycCRITIQUES

Preface vii
Modeling Dyadic and Interdependent Data in Developmental Research: An Introduction
1(10)
Noel A. Card
Told D. Little
James P. Selig
Incorporating Interdependence Into Developmental Research: Example From the Study of Homphily and Homogeneity
11(28)
Brett Laursen Danielle Popp
William J. Burk
Margaret Kerr
Hakan Stattin
Application of the Social Relations Model Formulas to Developmental Research
39(22)
William L. Cook
Analyzic Social Networks in Adolesence
61(26)
Antonius H. N. Cillesen
Casey Borch
Dyadic Models Emerging From the Longitiudinal Structural Equation Modeling Tradition: Parallels With Ecological Models of Interspecific Interactions
87(20)
Nilam Ram
Amy B. Pedersen
Dynamic Factor Analysis of Dyadic Affective Procsses with Intergroup Differences
107(32)
Emilio Ferrer
Keith F. Widaman
It Takes: A Dyadic, SEM-Based Perspective on Personality Development
139(26)
Pamela Sadler
Erik Woody
Comparing MLM and SEM Approaches to Analyzing Developmental Dyadic lData: Growth Curve Models of Hostility in Families
165(26)
Deborah A. Kashy
M. Brent Donnellan
Techniques for Modeling Dependeling Dependency in Interchangeable Dyads
191(22)
James P. Selig
Kelly A. McNamara
Noel A. Card
Todd D. Little
Variance Component Analysis of Generalized and Dyadic Peer Perceptions in Adolescence
213(32)
Thomas E. Malloy
Antonius H. N. Cillessen
Using the Bivariate Social Relations Model to Study Dyadic Relationships: Early Adolescents' Perceptions of Friends' Aggression and Prosocial Behavior
245(32)
Noel A. Card
Todd D. Little
James P. Selig
Modeling Interdependence Using the Social Relations Model: The Investment Model in Family Relationships
277(32)
Susan J. T. Branje
C. Finkenauer
W. H. J. Meeus
Methods for Detecting Subgroups in Social Networks
309(26)
Jonathan Templin
Can We Make Causal Inferences About the Influence of Children's Naturally Existing Social Networks on Their School Motivation?
335(34)
Thomas A. Kindermann
A Multilevel p2 Model With Covariates for the Analysis of Binary Bully-Victim Betwork Data in Multiple Classrooms
369(18)
Bonne J. H. Zijlstra
Rene Veenstra
Maritje A. J. Van Duijn
Beyond the Dyad: Prospects for Social Development
387(24)
Charles F. Bond, Jr.
David Cross
Thinking About the Developmental Couuse of Relationships
411(20)
David A. Kenny
Author Index 431(14)
Subject Index 445
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. Johns 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.