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From |
Steven Samuels <sjhsamuels@earthlink.net> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: RE: non-parametric MANOVA |

Date |
Tue, 28 Oct 2008 10:27:44 -0400 |

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

I find some inconsistency in this request. After all, what would anon-parametric MANOVA look like except something like a MANOVA,except that your data have been transformed to ranks? If you arehappy to reduce your data to ranks, why cavil at some othertransformation, 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 dataIf the conclusions were substantively similar, stop there.Otherwise, consider what specific transformations were advisable.Nick n.j.cox@durham.ac.uk Jochen SpäthI want to do a Manova (14 different dependent variables, 2 mainfactors) and am stuck with the problem that most of my fourteenvariables are not normally distributed (and I do not want totransform them in order to get them normal since I have only remoteaccess to the data which complicates things a lot). So, my questionis: is there a way to do such a MANOVA in STATA using non-parametric techniques (the -kwallis- command allows only for onefactor and one dependent variable as far as I know)?* * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

* * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**References**:**st: non-parametric MANOVA***From:*Jochen Späth <jochen.spaeth@iaw.edu>

**st: RE: non-parametric MANOVA***From:*"Nick Cox" <n.j.cox@durham.ac.uk>

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