Hello All
I am currently running a segmentation using K means Cluster analysis. There
are 69 attitudinal questions on a 10 point rating scale ( strongly agree to
strongly disagree) and I have 800 people.
Having run this analysis I found the results quite difficult to interpret
and now want to reduce the 69 statements using Factor Analysis ( Principal
Components Method) to try and make the process a little easier!
Has anyone here done anything similar where they have run a cluster analysis
on Factors? I would appreciate any feed back on the best methods to use.
thanks in advance
Natalie
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