Bookmark and Share

Notice: On March 31, it was announced that Statalist is moving from an email list to a forum. The old list will shut down at the end of May, and its replacement, statalist.org is already up and running.


[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]

st: Multiple correspondence analysis & PCA with ordinal variables


From   Owen Corrigan <ocorrigan@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   st: Multiple correspondence analysis & PCA with ordinal variables
Date   Thu, 13 May 2010 17:33:39 +0100

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/


© Copyright 1996–2014 StataCorp LP   |   Terms of use   |   Privacy   |   Contact us   |   Site index