Modeling intraindividual variability with repeated measures data methods and applications

<P>This book examines how individuals behave across time and to what degree that behavior changes, fluctuates, or remains stable.</P><P>It features the most current methods on modeling repeated measures data as reported by a distinguished group of experts in the field. The goal is...

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Detalles Bibliográficos
Autor Corporativo: American Psychological Association. Convention (-)
Otros Autores: Moskowitz, Debbie S. (-), Hershberger, Scott L.
Formato: Libro electrónico
Idioma:Inglés
Publicado: Mahwah, N.J. : L. Erlbaum Associates 2002.
Edición:1st edition
Colección:Multivariate applications book series.
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009627952806719
Tabla de Contenidos:
  • Cover; Modeling Intraindividual Variability with Repeated Measures Data: Methods and Applications; Copyright; List of Contributors; Contents; Preface; Chapter 1 Traditional Methods for Estimating Multilevel Models; Chapter 2 Alternative Covariance Structures for Polynomial Models of Individual Growth and Change; Chapter 3 Structural Equation Modeling of Repeated Measures Data: Latent Curve Analysis; Chapter 4 Multilevel Modeling of Longitudinal and Functional Data; Chapter 5 Analysis of Repeated Measures Designs with Linear Mixed Models
  • Chapter 6 Fitting Individual Growth Models Using SAS PROC MIXEDChapter 7 Multilevel Modeling of Longitudinal and Functional Data; Chapter 8 Times Series Regressions; Chapter 9 Dynamic Factor Analysis Models for Representing Process in Multivariate Time-Series; Author Index; Subject Index