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Bayesian measures of model complexity and fit
- Journal of the Royal Statistical Society, Series B
, 2002
"... [Read before The Royal Statistical Society at a meeting organized by the Research ..."
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Cited by 76 (1 self)
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[Read before The Royal Statistical Society at a meeting organized by the Research
The Covariance Between Level and Shape in the Latent Growth Curve Model With Estimated Basis Vector Coefficients
, 1998
"... A LISREL representation of the Latent Growth Curve Model is used to generate the set of equations for the expectation of the vector of means and the covariance matrix in terms of the unknown population parameters. A dependency between the covariance of the level and shape parameters and the scal ..."
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Cited by 2 (1 self)
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A LISREL representation of the Latent Growth Curve Model is used to generate the set of equations for the expectation of the vector of means and the covariance matrix in terms of the unknown population parameters. A dependency between the covariance of the level and shape parameters and the scalings of the shape basis vector is shown. A simulation is presented based on data presented by McArdle and Hamagami (1991) to show how the covariance changes as the basis vector coecients are rescaled. The relationship is explained in terms of the algebraic solution to a system of equations. Keywords: Latent growth curves, structural equation modeling, LISREL. 1 Introduction The latent growth curve model has become a popular method used to analyze repeatedly measured data (McArdle and Epstein, 1987; McArdle and Aber, 1990) when the interest is modeling "individual change as a function of time" (McArdle and Epstein, 1987, p. 110). As originally described the method combines ideas from bo...
