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st: cluster analysis with missing data
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From |
"Data Analytics Corp." <[email protected]> |
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To |
Stata Listserve <[email protected]> |
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Subject |
st: cluster analysis with missing data |
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Date |
Wed, 29 Jul 2009 11:08:34 -0400 |
Hi Stata,
A client has a dataset from a survey in which consumers were shown a
randomly selected set of 25 needs statements from a total of 152
statements. Each consumer saw only 25. The client want to cluster the
152 needs statements (i.e., 152 variables). Since the 25 were selected
at random, this should be a Missing Completely at Random problem. But
with each consumer responding to only 25, each record will have 127
missing values. I assume that Stata's clustering routines will do
list-wise deletion so there should be no data available for clustering.
Does anyone have any ideas how to handle this? Any suggestions? Can a
similarity matrix still be created (how?) with so many missing data points?
Thanks,
Walt
--
________________________
Walter R. Paczkowski, Ph.D.
Data Analytics Corp.
44 Hamilton Lane
Plainsboro, NJ 08536
________________________
(V) 609-936-8999
(F) 609-936-3733
[email protected]
www.dataanalyticscorp.com
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