03-30-2016 10:24 AM
I am trying to perform Exploratory Factor Analysis using
proc factor with
priors=smc, but am not sure which factor extraction method to use. O’Rourke and Hatcher (2013) suggest that Maximum Likelihood (ML) is the preferred method, but when I use that, I receive the "Communality greater than 1.0" error. Khattree and Naik (2000:150) say we can use the HEYWOOD or ULTRAHEYWOOD options to get past this error, but caution of improper solutions as a result.
Should I use ML with HEYWOOD, or should I rather use Principal Factor (PRIN) instead?
If I use ML with HEYWOOD, how will I know whether the resultant solution is valid or improper?
I'm using SAS release 3.4 University Edition.
03-30-2016 10:32 AM
It also indicates that some of the reasons for the error may be with the data.
Is that possible in your scenario? If so, is there anything you can do with the data to resolve this?
03-30-2016 02:47 PM