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The measure of residual error, or the root mean square of the covariance between the manifest variable residuals and the latent variable residuals (RMS Cov [E,U]) was . The fifth section, Models for Latent Variables, includes chapters on determining the number of factors in exploratory and confirmatory factor analysis; experimental, quasi-experimental, and nonexperimental design and analysis with latent variables; dynamic factor analysis; and latent variable growth mixture modeling for longitudinal data. An introduction to latent variable growth curve modeling: Concepts, issues, and applications. |
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