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Latent Curve Analysis

Published online by Cambridge University Press:  01 January 2025

William Meredith and
John Tisak
William Meredith*
Affiliation:
University of California, Berkeley
John Tisak
Affiliation:
Bowling Green State University
*
Requests for reprints should be sent to William Meredith, Department of Psychology, University of California, Berkeley, California 94720.
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Abstract

As a method for representing development, latent trait theory is presented in terms of a statistical model containing individual parameters and a structure on both the first and second moments of the random variables reflecting growth. Maximum likelihood parameter estimates and associated asymptotic tests follow directly. These procedures may be viewed as an alternative to standard repeated measures ANOVA and to first-order auto-regressive methods. As formulated, the model encompasses cohort sequential designs and allow for period or practice effects. A numerical illustration using data initially collected by Nesselroade and Baltes is presented.

Keywords

longitudinal analysisindividual growth curvesstructural equation modeling

Information

Type
Original Paper
Information
Psychometrika , Volume 55 , Issue 1 , March 1990, pp. 107 - 122
Copyright
Copyright © 1990 The Psychometric Society

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Footnotes

The authors wish to thank John Nesselroade for providing us the data for our illustration and Karen Paul and Connie Tilse for assisting in the data analysis. This research was supported by a grant (No. AG03164) from the National Institute on Aging to the senior author.

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