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Longitudinal methods Handbook of psychological measurement: A multimethod perspective
- Publisher
- American Psychological Association
- Copyright
- Copyright © 2008 American Psychological Association
- ISSN
- 0090-5550
- eISSN
- 1939-1544
- DOI
- 10.1037/a0012765
- Publisher site
- See Article on Publisher Site
Abstract
Objective:The use and quality of longitudinal research designs has increased overthe past 2 decades, and new approaches for analyzing longitudinal data,including multilevel modeling (MLM) and latent growth modeling (LGM), have beendeveloped. The purpose of this article is to demonstrate the use of MLM and itsadvantages in analyzing longitudinal data. Research Method:Data from a sample of individuals with intra-articular fractures of thelower extremity from the University of Alabama at Birmingham's Injury ControlResearch Center are analyzed using both SAS PROC MIXED and SPSS MIXED. Results:The authors begin their presentation with a discussion of datapreparation for MLM analyses. The authors then provide example analyses ofdifferent growth models, including a simple linear growth model and a model witha time-invariant covariate, with interpretation for all the parameters in themodels. Implications:More complicated growth models with different between- andwithin-individual covariance structures and nonlinear models are discussed.Finally, information related to MLM analysis, such as online resources, isprovided at the end of the article.
Journal
Rehabilitation Psychology – American Psychological Association
Published: Aug 1, 2008