Latent Variable Growth Modeling with Multilevel Data

  • Bengt Muthén
Part of the Lecture Notes in Statistics book series (LNS, volume 120)

Abstract

Growth modeling of multilevel data is presented within a latent variable framework that allows analysis with conventional structural equation modeling software. Latent variable modeling of growth considers a vector of observations over time for an individual, reducing the two-level problem to a one-level problem Analogous to this, three-level data on students, time points, and schools can be modeled by a two-level growth model. An interesting feature of this two-level model is that contrary to recent applications of multilevel latent variable modeling, a mean structure is imposed in addition to the covariance structure. An example using educational achievement data illustrates the methodology.

Keywords

Covariance 

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Copyright information

© Springer-Verlag New York, Inc. 1997

Authors and Affiliations

  • Bengt Muthén
    • 1
  1. 1.Graduate School of Education & Information StudiesUniversity of California, Los AngelesLos AngelesUSA

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