Re: st: RE: non-parametric MANOVA

[Steven Samuels <sjhsamuels@earthlink.net>]

There is a literature on aligned ranks and MANOVA (try Google).   
Perhaps bootstrapping -manova-  will approximate the distribution of  
the the test statistics.

Steve

On Oct 28, 2008, at 10:01 AM, Nick Cox wrote:

> I find some inconsistency in this request. After all, what would a  
> non-parametric MANOVA look like except something like a MANOVA,  
> except that your data have been transformed to ranks? If you are  
> happy to reduce your data to ranks, why cavil at some other  
> transformation, which typically would lose less information?
>
> Further, my visceral instinct is that MANOVA is more robust to non- 
> normality than people fear.
>
> More positively, if this were my problem, I might do
>
> 1. MANOVA on original data
> 2. MANOVA on rank-transformed data
>
> If the conclusions were substantively similar, stop there.  
> Otherwise, consider what specific transformations were advisable.
>
> Nick
> n.j.cox@durham.ac.uk
>
> Jochen Späth
>
> I want to do a Manova (14 different dependent variables, 2 main  
> factors) and am stuck with the problem that most of my fourteen  
> variables are not normally distributed (and I do not want to  
> transform them in order to get them normal since I have only remote  
> access to the data which complicates things a lot). So, my question  
> is: is there a way to do such a MANOVA in STATA using non- 
> parametric techniques (the -kwallis- command allows only for one  
> factor and one dependent variable as far as I know)?
>
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