ok - this makes sense to me -- thank you for the succint replies

I now have 5 imputed versions of each of my regression models

I would like to describe these models using standardized betas.

I plan to use MIANALYSIS to combine the 5 results.
The output from spss appears to write only the unstandardized betas
  (for input into MIANALYSIS).

Any ideas about how I can get the Standardized beta estimates?
 


Donald Rubin wrote:
Yup, wrong answer, unless the statistic is linear in all the missing data, 
i.e., this could only work in your case if the only varible with 
missingness is y.  ANd even then, all the standard errors and tests are 
wrong.  Not a very successful path to follow.


On Fri, 25 Jul 2003, Steve Peck wrote:

  
Assuming a set of 20 continuous variables,
are there specific reasons for *not* combining the
 results of 5 MI data sets before doing regression analyses
  (e.g., by computing value estimates by averaging across
 the 5 values per variable) instead of combing the parameter
  estimates that are generated from each of the 5 models run
  seperately)?

thanks,
Steve


    

  

-- 
Stephen C. Peck
Senior Research Associate Social Science
University of Michigan
204 S. State St. # 1239
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(734) 647-3683; fax (734) 936-7370
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