Re: st: compare effect size between dummys and metrics variables in logistic regression

["Michael N. Mitchell" <Michael.Norman.Mitchell@gmail.com>]

Greetings Joerg

  If you were doing an OLS regression, I would say that you could report the partial (or 
semi-partial) correlation associated with each of the variables. However, as you note, you 
are using binary logistic regression. While you could technically create z scores for the 
binary variables to try and put them on the same scale as the z-transformed variables, 
those results would not make much sense. You could take the z-transformed variables and 
convert them into 0/1 variables by cutting them into two arbitrary groups, but that would 
not make much sense. My thoughts are that there is not much you can do to compare the 
"apples" and "oranges" here in terms of the effect size.

Best regards,

Michael N. Mitchell
Data Management Using Stata      - http://www.stata.com/bookstore/dmus.html
A Visual Guide to Stata Graphics - http://www.stata.com/bookstore/vgsg.html
Stata tidbit of the week         - http://www.MichaelNormanMitchell.com



On 2010-09-26 11.23 AM, Jörg Eulenberger wrote:
> Dear Statalisters,
> a have an more statistical Question. I want to calculate an binary logistic regression. I
> have all metric variables z-transformed (mean = 0, std=1) to compare the effect size
> between the independent variable. But I have also dummys in my Regressionmodell. What can
> i do to compare the effect size of the dummy's with the effect size of the metric
> independent variables? Or is that completely impossible?
> Thanks,
> Joerg
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