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"The way to get those is to standardize all variables in your model prior to estimating the regression command."
Catherine can find technical details in this thread: http://www.stata.com/statalist/archive/2009-03/msg00115.html
HTH
Martin
-------- Original-Nachricht --------
> Datum: Thu, 31 Dec 2009 10:04:51 +0000 (GMT)
> Von: Maarten buis <[email protected]>
> An: [email protected]
> Betreff: Re: st: Standardized Beta and Multiple Imputation in Stata 11
> --- On Wed, 30/12/09, McDonald, Catherine wrote:
> > There is an option in the Linear Regression
> > estimation to check off 'standardized beta coefficients' in
> > reporting. But when I do this, nothing changes in my
> > coefficients. I don't see any beta coefficients reported-the
> > coefficients are the same as if I did not check it off. Can
> > someone give me advice on this?
>
> The reason is probably that the -mi estimate- dialog box
> "inherrited" that option from the normal -regress- dialog box.
> I am not that surprised that it doesn't work, because -mi estimate-
> seems to work with the returned coefficients as stored in e(b),
> and the -standardize- option does not change that matrix.
>
> The way to get those is to standardize all variables in your
> model prior to estimating the regression command. The question
> now becomes which mean and standard devation do I use, and I
> am not sure, though I guess it doesn't matter that much.
>
> Hope this helps,
> Maarten
>
> --------------------------
> Maarten L. Buis
> Institut fuer Soziologie
> Universitaet Tuebingen
> Wilhelmstrasse 36
> 72074 Tuebingen
> Germany
>
> http://www.maartenbuis.nl
> --------------------------
>
>
>
>
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