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Latent variables refer to variables that cannot be directly observed. These variable are defined in terms of observable variables. In narrow sense, "latent variable" is seen/modeled as what generates the observed variables in an implied data generation process. Also called hidden or lurking variables.

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Trying to understand a latent curve model in terms of mixed effects regression

I'm trying to understand exactly what the following model is trying to represent: (taken from Beaujean's Latent Variable Modeling Using R book) The text indicates that this is a random intercept/r …
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