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: [EMAIL PROTECTED] > [mailto:[EMAIL PROTECTED] On Behalf Of Ben Fairbank > Sent: Monday, June 20, 2005 4:10 PM > To: [email protected] > 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]] > > ______________________________________________ > [email protected] mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide! > http://www.R-project.org/posting-guide.html ______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
