Re: [R] Factanal loadings as large as 1.2 with promax -- how unusual?

From: John Fox <jfox_at_mcmaster.ca>
Date: Tue 21 Jun 2005 - 11:00:12 EST


Dear Ben,

To get big factor loadings like this, I'd guess that you have large communalities (not a bad thing, of course, and probably less rather than more likely with crudely measured variables) and strong correlations between factors. I suppose that if the latter get too large that might suggest that you could get by with fewer factors.

I hope this helps,
 John



John Fox
Department of Sociology
McMaster University
Hamilton, Ontario
Canada L8S 4M4
905-525-9140x23604
http://socserv.mcmaster.ca/jfox

> -----Original Message-----
> From: r-help-bounces@stat.math.ethz.ch
> [mailto:r-help-bounces@stat.math.ethz.ch] On Behalf Of Ben Fairbank
> Sent: Monday, June 20, 2005 4:10 PM
> To: r-help@stat.math.ethz.ch
> Subject: [R] Factanal loadings as large as 1.2 with promax --
> how unusual?
>
> I am performing a large (105 variable) factor analysis with
> factanal, specifying promax rotation. I kow that some
> loadings over 1.0 are not unsual with that rotation, but I
> have some as large as 1.2, which seems extreme. I am
> skirting the assumptions of the model by using responses on a
> 7-point rating scale as data; I may have to go back and
> compute polychoric correlations instead of product moment,
> but before doing that I would like to know if others have had
> equally large factor loadings using data that are truly
> interval level data on continuous scales.
>
> Thanks for suggestions or information,
>
> Ben Fairbank
>
>
> [[alternative HTML version deleted]]
>
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R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html Received on Tue Jun 21 11:07:38 2005

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