Re: st: REML with non-normally distributed dependent Variable

[John Antonakis <john.antonakis@unil.ch>]

Hi:

You have a simple random-effects model; in this case, consider using 
xtreg with robust SE.

HTH,
J.

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On 03.06.2009 13:23, Christian Weiss wrote:
> Thank you for your answer!
>
> I already log-transformed the variable, yielding the following result:
>
> http://yfrog.com/11graphpp
>
>
> ...looks relatively normally distributed to me.
>
> Unfortunately, swilk and swfrancia still tell me that it's not
> normally distributed...
>
>
>
> On Tue, Jun 2, 2009 at 10:04 PM, Dan MacNulty <macn0007@umn.edu> wrote:
>   
> > Why not transform your dependent variable (e.g, log-transform) to
> > approximate a normal distribution? Dan
> >
> > Christian Weiss wrote:
> >     
> > > Dear Statalisters,
> > >
> > > I am working with a random-intercept model using REML. As it turned
> > > out my dependent variable is not normally distributed.
> > > If I recall it correctly, one of the assumptions of ML is multivariate
> > > normality. Do you have any advice what to do or to consider?
> > >
> > > Best regards
> > > Christian
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