I guess you can't 'predict' after factor. you can score. if that is the scenario, what you are seeing are regression scores of the unrotated coefficients you obtained in the first run. Check the eigen values to see how many factors you should retain. also, you mention 'predicting' three factors but your coefficients seem to fit two at max...
maybe I misunderstood something, if I did, give me more details and I'll try to help you.
Diego
Diego G. Bassani, M.Sc., Ph.D.
Centre for Addiction and Mental Health
Health Systems Research & Consulting Unit
33 Russell Street, Tower - T308
Toronto, ON - M5S 2S1
[email protected]
http://www.camh.net/hsrcu
Phone: +01 (416) 535 8501 # 6465
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-----Original Message-----
From: [email protected]
[mailto:[email protected]]On Behalf Of Paley, Irina
Sent: April 5, 2006 4:50 PM
To: [email protected]
Subject: st: coefficients in factor analysis
Dear Statalist,
I apologize in advance for probably a very uneducated question.
I am using factor analysis to create factors.
when I type: factor x1-x3, I get an output which looks like this:
Factor1 Factor2
x1 0.4 0.7
x2 0.9 0.2
x3 0.6 0.5
When I then type: predict f1 f2 f3, I get another output which has the same form but the actual "coefficients" are completely different. For example, they are not 0.4, 0.9 and 0.6 for xs contributing to Factor 1.
Could you explain the correspondence between the contributions of x1, x2 and x3 to, say, Factor 1, reported after "factor" and those reported after "predict"? again, my apologies but I couldn't find it in readily available factor analysis references.
Thank you so much,
Irina
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