R help - Jan 2011 - Retrieve "raw scores" in factor analysis

I'm working with a data collected through complex survey design. My goal is
to conduct a factor analysis to extract two a priori, known factors, and to get
factor scores for these factors. Unfortunately, the "svyfactanal"
procedure from the Survey package does not allow for the calculation of either
Thompson regression scores or Bartlett scores.

So, I found several sources that say one can simply sum "raw scores."
I found this quote from this pdf file (http://pareonline.net/pdf/v14n20.pdf):

"One of the simplest ways to estimate factor scores for each individual
involves summing raw scores corresponding to all items loading on a factor
(Comrey & Lee, 1992). If an item yields a negative factor loading, the raw
score of the item is subtracted rather than added in the computations because
the item is negatively related to the factor. For this method (as well as for
the following non-refined methods) average scores could be computed to retain
the scale metric, which may allow for easier interpretation."

I know that the SPSS factor analysis procedure gives you raw scores. Is there a
way to obtain these from either the factanal or svyfactanal function?

Thanks

In case anyone is interested in this issue, I found a solution. The
"psych"
package has a function named "score.items" which will calculate raw
scores.
You need to know the survey item loadings and the raw responses to each
item, but it will do it. See Grice's 2001 paper on factor scores for more
info.
-Roni




On Mon, Jan 17, 2011 at 5:24 PM, Roni Kobrosly <slyron84@gmail.com> wrote:
> I'm working with a data collected through complex survey design. My
goal is
> to conduct a factor analysis ti extract two a priori known factors, and to
> get factor scores for these factors. Unfortunately, the
"svyfactanal"
> procedure from the Survey package does not allow for the calculation of
> either Thompson regression scores or Bartlett scores.
>
> So, I found several sources that say one can simply sum "raw
scores." I
> found this quote from this pdf file (http://pareonline.net/pdf/v14n20.pdf
>
> "One of the simplest ways to estimate factor scores for each
individual
> involves summing raw scores corresponding to all items loading on a factor
> (Comrey & Lee, 1992). If an item yields a negative factor loading, the
raw
> score of the item is subtracted rather than added in the computations
> because the item is negatively related to the factor. For this method (as
> well as for the following non-refined methods) average scores could be
> computed to retain the scale metric, which may allow for easier
> interpretation."
>
> I know that the SPSS factor analysis procedure gives you raw scores. Is
> there a way to obtain these from either the factanal or svyfactanal
> function?
>
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