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From |
Nick Cox <n.j.cox@stata.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: cluster analysis with missing data |

Date |
Tue, 04 Aug 2009 10:42:32 -0500 |

summary statistic list * statement list

Nick Walter R. Paczkowski, Ph.D. wrote on Wed 29 Jul 2009 11:08:34 -0400 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? * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

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