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…mehr
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.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
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.
Inhaltsangabe
N.A. Card T.D. Little J.P. Selig Modeling Dyadic and Interdependent Data in Developmental Research: An Introduction. B. Laursen D. Popp W.J. Burk M. Kerr H. Stattin Incorporating Interdependence into Developmental Research: Examples from the Study of Homophily and Homogeneity. W.L. Cook Application of the Social Relations Model Formulas to Developmental Research. A.H.N. Cillessen C. Borch Analyzing Social Networks in Adolescence. N. Ram A.B. Pedersen Dyadic Models Emerging from the Longitudinal Structural Equation Modeling Tradition: Parallels with Ecological Models of Interspecific Interactions. E. Ferrer K.F. Widaman Multilevel Structural Equation Models for Contextual Factors with Inter-Group Differences. P. Sadler E. Woody It Takes Two: A Dyadic SEM-Based Perspective on Personality Development. D.A. Kashy M.B. Donnellan Comparing MLM and SEM Approaches to Analyzing Developmental Dyadic Data: Growth Curve Models of Hostility in Families. J.P. Selig K.A. McNamara N.A. Card T.D. Little Techniques for Modeling Dependency in Interchangeable Dyads. T.E. Malloy A.H.N. Cillessen Variance Component Analysis of Generalized and Dyadic Peer Perceptions in Adolescence. N.A. Card T.D. Little J.P. Selig Using the Bivariate Social Relations Model to Study Dyadic Relationships: Early Adolescents' Perceptions of Friends' Aggression and Prosocial Behavior. S.J.T. Branje C. Finkenauer W.H.J. Meeus Modeling Interdependence Using the Social Relations Model: The Investment Model in Family Relationships. J. Templin Methods for Detecting Subgroups in Social Networks. T.A. Kindermann Can We Use Causal Inferences about the Influence of Children's Naturally-Existing Social Networks on their School Motivation? B.J.H. Zijlstra R. Veenstra M.A.J. Van Duijn An Application of the Multilevel Model for Binary Network Data on Bully-Victim Relationships. C.F. Bond Jr. D. Cross Beyond the Dyad: Prospects for Social Development. D.A. Kenny Thinking about the Developmental Course of Relationships.
N.A. Card T.D. Little J.P. Selig Modeling Dyadic and Interdependent Data in Developmental Research: An Introduction. B. Laursen D. Popp W.J. Burk M. Kerr H. Stattin Incorporating Interdependence into Developmental Research: Examples from the Study of Homophily and Homogeneity. W.L. Cook Application of the Social Relations Model Formulas to Developmental Research. A.H.N. Cillessen C. Borch Analyzing Social Networks in Adolescence. N. Ram A.B. Pedersen Dyadic Models Emerging from the Longitudinal Structural Equation Modeling Tradition: Parallels with Ecological Models of Interspecific Interactions. E. Ferrer K.F. Widaman Multilevel Structural Equation Models for Contextual Factors with Inter-Group Differences. P. Sadler E. Woody It Takes Two: A Dyadic SEM-Based Perspective on Personality Development. D.A. Kashy M.B. Donnellan Comparing MLM and SEM Approaches to Analyzing Developmental Dyadic Data: Growth Curve Models of Hostility in Families. J.P. Selig K.A. McNamara N.A. Card T.D. Little Techniques for Modeling Dependency in Interchangeable Dyads. T.E. Malloy A.H.N. Cillessen Variance Component Analysis of Generalized and Dyadic Peer Perceptions in Adolescence. N.A. Card T.D. Little J.P. Selig Using the Bivariate Social Relations Model to Study Dyadic Relationships: Early Adolescents' Perceptions of Friends' Aggression and Prosocial Behavior. S.J.T. Branje C. Finkenauer W.H.J. Meeus Modeling Interdependence Using the Social Relations Model: The Investment Model in Family Relationships. J. Templin Methods for Detecting Subgroups in Social Networks. T.A. Kindermann Can We Use Causal Inferences about the Influence of Children's Naturally-Existing Social Networks on their School Motivation? B.J.H. Zijlstra R. Veenstra M.A.J. Van Duijn An Application of the Multilevel Model for Binary Network Data on Bully-Victim Relationships. C.F. Bond Jr. D. Cross Beyond the Dyad: Prospects for Social Development. D.A. Kenny Thinking about the Developmental Course of Relationships.
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