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st: Factor analysis(?) question - missing data


From   Glenn Hoetker <ghoetker@uiuc.edu>
To   statalist@hsphsun2.harvard.edu
Subject   st: Factor analysis(?) question - missing data
Date   Tue, 22 Apr 2008 13:06:31 -0500

Hi all.

This is perhaps more of a statistical questions than a Stata question. My situation is this. I have a large dataset in which there are 5-6 indicators each for a bunch of latent variables. Let me take as an example having 5 measures for innovative output, x1-x5. The problem is that very few observations have all 5 measures; some are missing x1, some x2, etc. Almost every observation has at least 3 measures and most 4.

Is there anyway to optimally combine these indicators to measure the underlying construct of innovative output that would use all available measures for a given observation, i.e., x1-x4 for one observation, [x1- x3,x5] for another, etc. If I thought these were equally weighted, I could just average over the available variables in each, setting aside issues of measurement error. However, I'm not convinced they are equally weighted and would like to do this in a more rigorous fashion.

Any suggestions would be most welcome. Thanks in advance.

GPH


Glenn Hoetker
Associate Professor (Business, Law, Institute for Genomic Biology)
Resident Associate, Center for Advanced Study, Science and Technology in the Pacific Century (STIP) initiative
Faculty Fellow, Academy for Entrepreneurial Leadership
University of Illinois
217-265-4081
ghoetker@uiuc.edu
Personal website: www.business.uiuc.edu/ghoetker
Science & Technology in the Pacific Century initiative website: www.business.uiuc.edu/stip

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