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Factor Scores in a bifactor model |
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I have estimated a bifactor model using the following code: analysis: estimator=wlsmv; parameterization=theta; rotation=geomin; Model: 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; savedata: 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? Thanks. |
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