Examples Confirmatory Factor Analysis and Form

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hi guys in this video we are going to talk about the difference between exploratory factor analysis and confirmatory factor analysis so up until now we talked about factor analysis but we really only talked about exploratory factor analysis so EFA is a way to reduce dimensionality of the data or rather find a simple latent variable model that explains the complex data I'm going to do a short review for newcomers this is the EFA model we assume that the variables are actually a linear function of some latent factors called common factors plus some uniqueness which can be further broken down into specific factors in noise the coefficients that relate the factors to the variables are called loadings this is the graph of how it looks like we have in circles the factors and they actually manifest different observed variables depicted here in squares in EFA all factors affect all variables though we are trying to find some representation which groups the factors with the variables that they