Longitudinal Analysis With Regressions Among Random Effects: A Latent Variable Modeling Approach

A didactic discussion of a latent variable modeling approach is presented that addresses frequent empirical concerns of social, behavioral, and educational researchers involved in longitudinal studies. The method is suitable when the purpose is to analyze repeated measure data along several interrel...

Full description

Saved in:
Bibliographic Details
Published inStructural equation modeling Vol. 14; no. 1; pp. 146 - 169
Main Author Raykov, Tenko
Format Journal Article
LanguageEnglish
Published Hove Lawrence Erlbaum Associates, Inc 01.01.2007
Psychology Press
Subjects
Behavioral Science Research
Cognition & reasoning
Data analysis
Educational Research
Intervention
Latent Variables
Longitudinal Studies
Measurement
Research Methodology
Social Science Research
Online AccessGet full text
ISSN1070-5511
1532-8007
DOI10.1207/s15328007sem1401_8

Cover

More Information
Summary:A didactic discussion of a latent variable modeling approach is presented that addresses frequent empirical concerns of social, behavioral, and educational researchers involved in longitudinal studies. The method is suitable when the purpose is to analyze repeated measure data along several interrelated dimensions and to explain some of the associated patterns of change in terms of other developmental patterns via regressions among random effects. The procedure utilizes the framework of latent variable modeling and in addition is readily applicable when not all subjects provide complete records on all assessments and variables. The approach is illustrated with data from a cognitive intervention study.
Bibliography:SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 14
ISSN:1070-5511
1532-8007
DOI:10.1207/s15328007sem1401_8