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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Otros Autores: | , |
Formato: | Libro electrónico |
Idioma: | Inglés |
Publicado: |
Mahwah, N.J. :
L. Erlbaum Associates
2002.
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Edición: | 1st edition |
Colección: | Multivariate applications book series.
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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