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Modeling intraindividual variability with repeated measures data : methods and applications / edited by D.S. Moskowitz, Scott L. Hershberger.

O'Reilly Online Learning: Academic/Public Library Edition Available online

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Format:
Book
Contributor:
Moskowitz, Debbie S.
Hershberger, Scott L.
American Psychological Association. Convention (1997)
Series:
Multivariate applications book series.
Multivariate applications book series
Language:
English
Subjects (All):
Psychometrics--Congresses.
Psychometrics.
Physical Description:
1 online resource (293 p.)
Edition:
1st edition
Place of Publication:
Mahwah, N.J. : L. Erlbaum Associates, 2002.
Language Note:
English
System Details:
text file
Summary:
<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 to make the latest techniques used to assess intraindividual variability accessible to a wide range of researchers. Each chapter is written in a ""user-friendly"" style such that even the ""novice"" data analyst can easily apply the techniques.</P><P>Each chapter features:</P><UL><LI>a minimum discussion of mathemati
Contents:
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
Notes:
Based on 2 symposia presented at the 1997 meeting of the American Psychological Association.
Includes bibliographical references and indexes.
ISBN:
1-138-01256-4
1-4106-0447-0
1-283-29384-6
9786613293848
0-8058-3125-8
1-135-67321-7
9781410604477
OCLC:
191036482

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