
Message/Author 

Reem Saeed posted on Thursday, November 07, 2013  2:08 pm



Dear Muthens, I have done an EFA on a set of continous variables, and have attempted to replicate these using latent profile analysis. However, the factor loadings for the variables are somewhat different than the class membership for the latent profile analysis. So, in other words, the interpretation of the latent structure differs slightly between the 2 methods when both are applied using the exact same dataset. Is this appropriate? And how would I explain such differences? If I were put in a situation where eigenvalues in an EFA were above 1 for two variables, and the LFA model for say a 3 or 4 class model was a good fit. Which one should I choose and why? Thank you, Reem 


EFA focuses on grouping variables and LPA grouping people, so the solutions can be quite different. You can choose between factor analysis models and latent profile models using BIC. 

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