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From | Laura Gibbons <gibbonsl@u.washington.edu> |
To | statalist@hsphsun2.harvard.edu |
Subject | Re: st: Multiple correspondence analysis & PCA with ordinal variables |
Date | Thu, 13 May 2010 11:32:00 -0700 (PDT) |
The other options I know of involve purchasing a separate program, like Mplus, Parscale, etc.
-Laura On Thu, 13 May 2010, Owen Corrigan wrote:
I am trying to extract a single index from a set of 7/8 ordinal variables measured over three categories (low, med, high). I understand that MCA (multiple correspondence analysis) is an analogue of PCA (principal components analysis) for categorical/ordinal data, and so have been using that in Stata 10. My concern is that I am not properly 'telling' Stata that the data is ordinal, and thus Stata may not be taking into account that category 3 > category 2 > category 1. I have read through the help file and options, but see no way to 'force ordinality' on the program; so I am worried that the analysis is merely treating each of the categories of the variables as independent, and not related. Is there a way to force ordinality? Should I be using a different method? All assistance greatly appreciated. Owen. * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Laura E. Gibbons, PhD General Internal Medicine, University of Washington Box 359780, Harborview Medical Center, 325 Ninth Ave, Seattle, WA 98104 phone: 206-744-1842, fax: 206-744-9917, Office address: 401 Broadway, Suite 5122 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/