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From |
Maarten buis <maartenbuis@yahoo.co.uk> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: Factor analysis(?) question - missing data |

Date |
Tue, 22 Apr 2008 19:36:06 +0100 (BST) |

The following post might prove helpful: http://www.stata.com/statalist/archive/2007-12/msg00504.html The short version: -findit ice- Hope this helps, Maarten --- Glenn Hoetker <ghoetker@uiuc.edu> wrote: > 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. ----------------------------------------- Maarten L. Buis Department of Social Research Methodology Vrije Universiteit Amsterdam Boelelaan 1081 1081 HV Amsterdam The Netherlands visiting address: Buitenveldertselaan 3 (Metropolitan), room Z434 +31 20 5986715 http://home.fsw.vu.nl/m.buis/ ----------------------------------------- __________________________________________________________ Sent from Yahoo! Mail. A Smarter Email http://uk.docs.yahoo.com/nowyoucan.html * * For searches and help try: * http://www.stata.com/support/faqs/res/findit.html * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**References**:**st: Factor analysis(?) question - missing data***From:*Glenn Hoetker <ghoetker@uiuc.edu>

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