Factor Scores in a bifactor model PreviousNext
Mplus Discussion > Confirmatory Factor Analysis >
 Abu Minhajuddin posted on Tuesday, January 21, 2020 - 5:20 am
I have estimated a bifactor model using the following code:

gen by V1-V20;
F1 by V1-V5;
F2 by V6-V10;
F3 by V11-V15;
F4 by V16-V20;

gen with F1-F4@0;
F1 with F2-F4@0;
F2 with F3-F4@0;
F3 with F4@0;
gen@1; F1-F4@1;

file is fs.dat;
save = fscores;
format is free;

output: stdyx svalues;

I have the following 3 questions:

1) In the saved output file, I get 10 new columns along with the data I used to build/estimate this model. With 1 general and 4 specific factors, shouldn't I get 5 new columns only? What are the additional 5 columns?

2) Since I specified the covariance between the general and specific factors to be 0, should I get factor scores that are uncorrelated or minimally correlated?

3) Are the factor loadings I get in the output from the original scale of the data or the rotated scale? How do I get the rotated factor loadings?

 Bengt O. Muthen posted on Wednesday, January 22, 2020 - 1:18 pm
Please send your output to Support along with your license number.
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