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st: Difference between factor score and linear prediction of latent variables after sem
From
Guillermo Montes <[email protected]>
To
"[email protected]" <[email protected]>
Subject
st: Difference between factor score and linear prediction of latent variables after sem
Date
Mon, 14 Oct 2013 18:05:41 +0000
I estimated a sem model that regresses many observable predictors on two latent variables (SOC1 SOC2), each measured by 4 observable indicators. Then, I used the post estimation commands to calculate both the factor scores and the linear predictions of the latent variables using the commands below.
Predict Lat*, xblatent(SOC1 SOC2)
Predict Fac*, latent(SOC1 SOC2)
http://www.stata.com/manuals13/sempredictaftersem.pdf The manual says factor scores are predicted values of latent variables.
What is the difference between a factor score and a linear prediction of a latent variable? The numbers are only correlated .7 or so in my case.
Thanks
Guillermo Montes Ph.D.
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