Dear John,
I checked for the uniquenesses from factanal() and found out that these
estimates need an a priori assumption about the number of latent factors
(and they depend strongly on that assumption). What I want is an estimate of
reliablity independent of such an assumption. Is it possible
Dear Jens,
One of the nice features of maximum-likelihood factor analysis, implemented
in factanal(), is that you can test for the number of common factors.
More generally, the estimated uniquenesses will depend upon the number of
common factors. Using sem() requires a stronger initial
Can someone point me to literature and/or R software to solve the following
problem:
Assume n true scores t measured as x with uncorrelated errors e , i.e.
x = t + e
and assume each true score to a have a certain amount of correlation with
some of the other true scores.
The correlation matrix
