Satisfying a Simplex Structure is Simpler Than it Should Be: A Latent Curve Analysis Revisit

Multivariate Behavioral Research
T Raykov

Abstract

This article is concerned with the utility of the structural equation modeling (SEM) methodology for studying change. Two broad classes of models are considered, individual and group change models. The relationship between the constant rate of change and simplex models, as popular representatives of either class, is examined. Both models are shown to be special cases of the comprehensive latent curve analysis (Meredith & Tisak, 1990). Sensitivity of its models to differences in individual growth curves is demonstrated on data from Rogosa and Willett (1985a). Benefits of studying longitudinal change using SEM and related issues of model choice are discussed.

References

Jan 1, 1992·Experimental Aging Research·J J McArdle, F Hamagami
Jan 1, 1986·Behavior Genetics·J J McArdle
Feb 1, 1987·Child Development·J J McArdle, D Epstein
Jul 1, 1990·Multivariate Behavioral Research·S Lee, S Hershberger

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Citations

Jan 1, 2005·Multivariate Behavioral Research·Michael J Rovine, Peter C M Molenaar
Aug 28, 2012·Psychological Science·Monica Melby-LervågCharles Hulme
May 6, 2003·The Journals of Gerontology. Series B, Psychological Sciences and Social Sciences·Daniel K Mroczek, Avron Spiro
Oct 1, 2008·Multivariate Behavioral Research·Manuel C Voelkle

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