jamovi

Hi, in a five factor EFA solution the uniqueness calculation seems a bit off, not sure why. Hand calc gives me a uniqueness of 0.66 for a promax rotated solution but the jamovi displayed value is 0.74. Hand calc of the unrotated solution is correct, so I'm not sure why rotated factor loadings don't add up to displayed uniqueness. Using jamovi 0.9.5.5.
David
ps omv attached

Hi David,
So by default we use "Minimal Residuals" as the factor extraction method (just like the R package "psych" that we use in the background). However, "factanal" uses maximum likelihood as the extraction method. If you change the extraction method to maximum likelihood, the uniqueness should be the same again.

Cheers,
Ravi

Hi Ravi, maximum likelihood also gives 0.66 uniqueness for a five factor promax rotated solution (hand calc) - but the displayes uniqueness is 0.74 (jamovi 0.9.5.

jamovi 0.9.5.8 ... not sure why the shades appeared!

jmv syntax shows nFactors = 2 but five are extracted using parallel method...could this be something to do with it? See attached.

..answering my own question, NFactors = 2 or NFactors = 5 in jmv syntax doesn't change things...

But it does match the R result you calculated using 'factanal' now right?

Using factanal handcalc uniqueness = 0.66 but displayed = 0.74, just like in psych. Probably something happening that I don't understand...I had thought that rotated factor loading should still sum to same communality / uniqueness as unrotated?

Further digging shows that with orthogonal rotation (varimax) factor loadings combine correctly to displayed uniqueness, but not for oblique rotation (promax). Extraction method doesn't seem to make a difference.

aah, pattern vs structure matrix!! Sorry I'm a bit rusty on fa