Hi Dear all,
I'using factor analysis with Maximum Likelihood as an extraction method. A professor told me that ML would be better when we want to perform CFA after EFA.
I would like to know if somesone can post references on the use of ML in factor analysis. In what case ML is better than PCA according to you?
NB : Data are normally distributed. However, kurtosis and skewness values are in recommanded interval [-1.5 +1.5]
Your help is appreciated.
Best,
Mbaye,