[R] "save scores" from sem

[Steve Powell]

Dear Joris,
thanks for your reply - it is the sem case which interests me. Suppose
for example I use sem to construct a CFA for a set of variables, with
a single latent variable, then this could be equivalent to a PCA with
a single component, couldn't it? From the PCA I could "save" the
scores as new variables; is there an equivalent with sem? This would
be particularly useful if e.g. in sem I let some of the errors covary
and then wanted to use the "saved scores" in some subsequent analysis.

By the way, lavaan is at cran.r-project.org/web/packages/lavaan/index.html

Best Wishes
Steve

www.promente.org | skype stevepowell99 | +387 61 215 997




On Tue, Jun 22, 2010 at 7:08 PM, Joris Meys <jorismeys at gmail.com> wrote:
> 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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