Bookmark and Share

Notice: On April 23, 2014, Statalist moved from an email list to a forum, based at statalist.org.


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

Re: st: PCA with Missing Values (or other factor analysis)


From   Stas Kolenikov <skolenik@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: PCA with Missing Values (or other factor analysis)
Date   Wed, 6 Jul 2011 11:18:41 -0500

Since you have binary data, PCA is totally inappropriate. You could
use -xtmelogit- or -gllamm- in the context of cross-classified data
(both programs are designed to work with nested data, so working with
the data like yours requires certain data management and estimation
tricks).

On Sat, Jul 2, 2011 at 11:13 PM, Nick Eubank <nickeubank@gmail.com> wrote:
> Hello All,
>
> I'm trying to do a PCA on legislator votes (1 or 0), where different
> legislators have overlapping but distinct terms. In other words,
> legislator A is in office periods 1 and 2, legislator B is in office 2
> and 3, so A has no votes in period 3 and B has no votes in period A. I
> want to map their "ideal points" (i.e. pca predicted value from votes)
> into the same space. But PCA obviously dislikes missing values.
>
> Suggestion? I'm really open to any factor analysis algorithm.
>
> Thanks!
>
> Nick
>
>
>
> --
> PhD Student, Political Economics
> Stanford University GSB
> nickeubank@gmail.com
> Cell: +1 (303) 918.6528
> *
> *   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/
>



-- 
Stas Kolenikov, also found at http://stas.kolenikov.name
Small print: I use this email account for mailing lists only.

*
*   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 1996–2018 StataCorp LLC   |   Terms of use   |   Privacy   |   Contact us   |   Site index