If all the cells in the correlation matrix are close, then that seems to
indicate that all the items are similar. I would then expect that there
would be only one factor.  If the people either rate everything high, or
everything low, then that would indicate two groups; I am not sure what
you are tyring to get at, but if that's the data, what else could you
expect from factor analysis?

OTOH, if all your correlations are roughly equal, I would suggest that
your QUESTIONS are poorly chosen, or, at least, that they are not
tapping into different things.  

If you give more details, we may be able to help you more

Peter

Peter L. Flom, PhD
Assistant Director, Statistics and Data Analysis Core
Center for Drug Use and HIV Research
National Development and Research Institutes
71 W. 23rd St
www.peterflom.com
New York, NY 10010
(212) 845-4485 (voice)
(917) 438-0894 (fax)



>>> [EMAIL PROTECTED] 5/7/2004 7:11:26 PM >>>
I am analyzing a survey dataset where respondents are asked to rate
the importance of 20+ statements for factor analysis that will be used
for segmentations. I just found that all ratings are highly correlated
with all else, examining the data I found respondents seem to be
pretty much rating everything either all important or all not
important, therefore the factor solutions I got was very crappy and
can not go on for segmentations, which is the key objective of the
study.

Is there anything I can do to the data to make up the correlation
problem, The ratings is on a 5 point scale. Please help!

Thanks
.
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