Longitudinal Modeling of Developmental Changes in Psychological Research

In this article we provide a review of recent advances in longitudinal models for multivariate change. We first claim the need for dynamic modeling approaches as a way to evaluate psychological theories. We then describe one such approach, latent change score (LCS) models, and illustrate their utili...

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Bibliographic Details
Published inCurrent Directions in Psychological Science Vol. 19; no. 3; pp. 149 - 154
Main Authors Ferrer, Emilio, McArdle, John J.
Format Journal Article Book Review
LanguageEnglish
Published Los Angeles, CA Sage Publications 01.06.2010
SAGE Publications
SAGE PUBLICATIONS, INC
Subjects
Childhood
Cognition
Cognitive models
Cognitive psychology
Dynamic modeling
Mathematical independent variables
Memory
Modeling
Observational research
Psychological research
dynamical systems
developmental processes
longitudinal modeling
multivariate analysis
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Summary:In this article we provide a review of recent advances in longitudinal models for multivariate change. We first claim the need for dynamic modeling approaches as a way to evaluate psychological theories. We then describe one such approach, latent change score (LCS) models, and illustrate their utility with a summary of research findings in various areas of psychological science. We then highlight the most prominent features of LCS models. We conclude the article with suggestions for future research on multivariate models of change that can enhance our understanding of psychological science.
ISSN:0963-7214
1467-8721
DOI:10.1177/0963721410370300