Re: Multiple Imputation

Posted by Alex Reutter on
URL: http://spssx-discussion.165.s1.nabble.com/Multiple-Imputation-tp4994372p4995137.html

This is an interesting idea.  I think I would be concerned about using the pooled correlations in much the same way I'd be concerned about using a single imputation method.  Even if the pooled estimates provide a superior point estimate of the correlations, we would then be using them as point estimate inputs to the factor analysis and lose information about the variability in the correlation estimates.  Still, it's better than nothing.

I just checked whether the pooled estimates are saved with MATRIX OUT; they are not, so one would need to use OMS to collect the correlations from the output table for a sizeable correlation matrix.

Alex




From:        Bruce Weaver <[hidden email]>
To:        [hidden email]
Date:        11/15/2011 09:12 AM
Subject:        Re: Multiple Imputation
Sent by:        "SPSSX(r) Discussion" <[hidden email]>

---

I see that "Bivariate Correlations" is in the list of supported procedures.
I assume that means that a correlation matrix is generated for each of the
multiply imputed data sets, and that those estimates are pooled.  So
couldn't one use that pooled correlation matrix as input for the exploratory
factor analysis?

Cheers,
Bruce



Alex Reutter wrote:
>
> Hi Alex,
>
> 1. There are 2 different imputation methods: Fully conditional
> specification (which uses MCMC) and Monotone.  See
> http://publib.boulder.ibm.com/infocenter/spssstat/v20r0m0/topic/com.ibm.spss.statistics.help/idh_idd_mi_method.htm
> for details.
>
> 2. I'm afraid Factor analysis does not currently support pooling of
> multiple imputation data: See
> http://publib.boulder.ibm.com/infocenter/spssstat/v20r0m0/topic/com.ibm.spss.statistics.help/mi_analysis.htm
> for a list of procedures that do.  Procedures that do support pooling
> automatically generate pooled output when run on multiply imputed
> datasets.
>
> Alex
>


-----
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Bruce Weaver
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