A likelihood-based functional SEM with Gaussian process latent variables is developed, with EM estimation, penalized smoothing, and goodness-of-fit indices for sparse longitudinal data.
Item parceling issues in structural equation modeling.Advanced structural equation modeling: New developments and techniques/Lawrence Erlbaum Associates
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Functional structural equation modeling with latent variables
A likelihood-based functional SEM with Gaussian process latent variables is developed, with EM estimation, penalized smoothing, and goodness-of-fit indices for sparse longitudinal data.