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deleted_user
Not applicable
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.
6 REPLIES 6
deleted_user
Not applicable
if no one can answer the question, could someone at least tell me other places I could look for the answer?

thanks !!
Cynthia_sas
SAS Super FREQ
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
deleted_user
Not applicable
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.
Paige
Quartz | Level 8
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.
AA1973
Calcite | Level 5

see thread

Ksharp
Super User

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

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