PCA versus FAWhat are the main differences between a principal component analysis(PCA) and a factor analysis(FA)?

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Peter Samuels

Dear Aydin,

The main differences are:

PCA measures total variance whereas FA measures shared variance.

PCA will always converge whereas FA may not converge.

Daniel Gutiérrez Sánchez

I agree with Chalamala, the main difference is that PCA is a linear combination of variables and Factor Analysis is a measurement model of a latent variable.

http://www.theanalysisfactor.com/the-fundamental-difference-between-principal-component-analysis-and-factor-analysis/

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