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st: MCA (multiple correspondence analysis), identifying groups


From   Anna Reimondos <areimondos@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   st: MCA (multiple correspondence analysis), identifying groups
Date   Fri, 8 May 2009 16:13:47 +1000

Hello,
I have a survey dataset consisting of individual respondents and I
would like to group them into different distinct groups.
 I have read an article where the researchers had a similar dataset
and they used MCA (multiple correspondence analysis) to identify
distinct groups of respondents. The main variables which distinguish
respondents are their age, sex, marital status and presence of
children.

I am using STATA 10 , and using the "mca" command I was plugged in my
variables (mca sex age_group marstatus children) and identified 3
dimensions on which I was able to identify 3 clear groupings of people
 (for example young unmarried people with no kids, older people with
non-resident kids , and single parents).
Now I would like to use these groupings in further analysis. So for
each respondent I would like a variable that says they are in group
1,2 or 3. I have tried reading the mca help files and looking online
but I cannot understand how to do this. Is there a special command
that is part of the mca command that does this, or do I need to do
this another way.
This is my first time using MCA so I hope this question is not too silly!

Thanks very much
Anna
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