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PCA and dichotomous variables in PROC FACTOR

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PCA and dichotomous variables in PROC FACTOR

I'm working on doing a principle component analysis and using the PROC FACTOR to do this. My issue is that I have all dichotomous variables. How does PROC FACTOR handle this?

Would it be better to first calculate the tetrachoric correlations in PROC FREQ?

Thanks.
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Re: PCA and dichotomous variables in PROC FACTOR

Posted in reply to deleted_user
if no one can answer the question, could someone at least tell me other places I could look for the answer?

thanks !!
SAS Super FREQ
Posts: 8,864

Re: PCA and dichotomous variables in PROC FACTOR

Posted in reply to deleted_user
Hi:
In the SAS/Stat manual, there is a discussion of PROC PRINCOMP (principal component analysis) versus PROC FACTOR:
http://support.sas.com/documentation/cdl/en/statug/59654/HTML/default/statug_intromult_sect002.htm

Overview on Multivariate Procedures:
http://support.sas.com/documentation/cdl/en/statug/59654/HTML/default/statug_intromult_sect001.htm

Tech Support note:
http://support.sas.com/kb/22/558.html

For immediate or urgent help, you might consider opening a track with Tech Support.

cynthia
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Re: PCA and dichotomous variables in PROC FACTOR

Posted in reply to deleted_user
This is really more of an academic question than a technical one. I've used PROC FACTOR with dichotomous variables, but the question is, should it be done? I tried to find research on this topic a few years ago, but didn't have any success.
Super Contributor
Posts: 281

Re: PCA and dichotomous variables in PROC FACTOR

Posted in reply to deleted_user
There's no way to answer "should it be done" unless you tell us more about what your data is, and what you are hoping to learn from your data. Usually, I see no point in performing PCA on dichotomous variables. But unless I know more about what you are trying to accomplish, I can't point you in any particular direction.
Occasional Contributor
Posts: 8

Re: PCA and dichotomous variables in PROC FACTOR

Posted in reply to deleted_user

see thread

Super User
Posts: 10,023

Re: PCA and dichotomous variables in PROC FACTOR

Posted in reply to deleted_user

It looks like your data is catagory data .How about using  Correspondence Analysis.

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