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st: Factor analysis for mixed type data


From   Mahbubeh Parsaeian <mahbobehparsaeian@yahoo.com>
To   "statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu>
Subject   st: Factor analysis for mixed type data
Date   Sat, 29 Dec 2012 07:52:03 -0800 (PST)

Hi every body 
I want to run a
factor analysis on a set of variables which consists of both continuous and
categorical variables.
I have found out
that mca (Multiple Correspondence Analysis) and pca (Principal Component Analysis)
are suitable for categorical and continuous data types respectively.  
I was wondering if
there is command in Stata which can consider mixed variables (continuous and
discrete).
It is noteworthy to
mention that R has a function called "AFDM" in package "FactoMiner"
which can run Factor analysis for mixed data. 
I would appreciate
if you could help me with this.

Regards,
MP    

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