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EDA stands for "Exploratory data analysis". Developed by Tukey to contrast with Confirmatory Data Analysis or CDA (the formal testing of hypotheses). EDA is typically concerned with describing data numerically and graphically to make the data easier to understand and to yield new insights.

1 vote

Difference between exploratory and confirmatory factor analysis in determining construct ind...

If I understand your question correctly it is a question about testing. Then simply testing requires a kind of confirmatory factor-analysis, the same as the question: "do the means in the subgroups re …
Gottfried Helms's user avatar
1 vote

Is there any good reason to use PCA instead of EFA? Also, can PCA be a substitute for factor...

In my view, the notions of "PCA" and "FA" are on a different dimension from that of notions of "exploratory", "confirmatory" or maybe "inferential". So each of the two mathematical/statistical meth …
Gottfried Helms's user avatar
3 votes

Is there any good reason to use PCA instead of EFA? Also, can PCA be a substitute for factor...

(This is really a comment to @ttnphns's second answer) As far as the different type of reproduction of covariance assuming error by PC and by FA is concerned, I've simply printed out the loadings/com …
Gottfried Helms's user avatar
1 vote

Is there any good reason to use PCA instead of EFA? Also, can PCA be a substitute for factor...

Just one additional remark for @amoebas's long (and really great) answer on the character of the $\Psi$-estimate. In your initial statements you have three $\Psi$: for PCA is $ \Psi = 0$, …
Gottfried Helms's user avatar