, Volume 55, Issue 1, pp 107–122

Latent curve analysis


  • William Meredith
    • Department of PsychologyUniversity of California
  • John Tisak
    • Bowling Green State University

DOI: 10.1007/BF02294746

Cite this article as:
Meredith, W. & Tisak, J. Psychometrika (1990) 55: 107. doi:10.1007/BF02294746


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.

Key words

longitudinal analysisindividual growth curvesstructural equation modeling
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© The Psychometric Society 1990