PCA and factor analysis is implemented in the core R distribution, no
extra packages needed. When using princomp, they're in the object.
pr.c <- princomp(USArrests,scale=T)
pr.c$scores # gives you the scores
see ?princomp
When using factanal, you can ask for regression scores or Bartlett
scorse. See ?factanal.
Mind you, you will get different -i.e. more correct- results than
those obtained by SPSS.
I don't understand what you mean with scores in the context of
structural equation modelling. Lavaan is unknown to me.
Cheers
Joris
On Tue, Jun 22, 2010 at 3:11 PM, Steve Powell <steve at promente.net>
wrote:> ?Dear expeRts,
> sorry for such a newbie question -
> in PCA/factor analysis e.g. in SPSS it is possible to save scores from the
> factors. Is it analogously possible to "save" the implied scores
from the
> latent variables in a measurement model or structural model e.g. using the
> sem or lavaan packages, to use in further analyses?
> Best wishes
> Steve Powell
>
> www.promente.org | skype stevepowell99 | +387 61 215 997
>
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--
Joris Meys
Statistical consultant
Ghent University
Faculty of Bioscience Engineering
Department of Applied mathematics, biometrics and process control
tel : +32 9 264 59 87
Joris.Meys at Ugent.be
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