turn on suggestions

Auto-suggest helps you quickly narrow down your search results by suggesting possible matches as you type.

Showing results for

Find a Community

- Home
- /
- Analytics
- /
- Stat Procs
- /
- Factor Analysis N iteration

Topic Options

- Subscribe to RSS Feed
- Mark Topic as New
- Mark Topic as Read
- Float this Topic for Current User
- Bookmark
- Subscribe
- Printer Friendly Page

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Highlight
- Email to a Friend
- Report Inappropriate Content

03-02-2012 01:52 PM

Dear I have around 77 factors and I used factor analysis to reduce them. I also need to get scores for further analysis.

I used the following command..

proc factor data=correl score outstat=fact;

run;

proc score data=raw score=fact out=scores;

run;

After running this command I got 31 factors, but I want to reduce between 10~15 factors.

I used N=15, NFACT=10 but both commands does not work.

Please give me Idea how I can reduce these factors more that also do not reduce the effect of Eigen value.

Will be thankful for your nice comments & suggestions

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Highlight
- Email to a Friend
- Report Inappropriate Content

03-05-2012 10:00 AM

What you say "should work" does work.

proc factor data=correl score NFACT=15 outstat=fact;

run;

proc score data=raw score=fact out=scores;

run;

If you use NFACT=15, the FACT data set contains scoring coefficients for the first 15 factors.

PROC SCORE projects the raw data onto the first 15 factors. The variables are FACTOR1-FACTOR15.

Those variables are the first 15 principal components: the linear combinations that best explain the variation in the data.