Confirmatory Factor Analysis (CFA) in R with lavaan.This seminar is the second in a three-part series on latent variable modeling. The first seminar of this seminar introduces CFA: The assumption is that all variables are continuous and normally distributed. Topics such as estimation, multiple groups, measurement invariance and latent growth modeling will not be covered in this seminar. Since SEM is a broad topic, only the most fundamental topics such as matrix notation, identification and model fit will be introduced in this seminar. Its emphasis is on identifying various manifestations of SEM models and interpreting the output rather than a thorough mathematical treatment or a comprehensive list of syntax options in lavaan. This seminar will introduce basic concepts of structural equation modeling using lavaan in the R statistical programming language.
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