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

From   Maarten buis <>
Subject   Re: st: Factor analysis(?) question - missing data
Date   Tue, 22 Apr 2008 19:36:06 +0100 (BST)

The following post might prove helpful:

The short version: -findit ice-

Hope this helps,

--- Glenn Hoetker <> 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

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