Date: Tue, 6 Sep 2005 15:04:55 -0400
Reply-To: "Frank J. Gallo" <fjgallo@verizon.net>
Sender: "SPSSX(r) Discussion" <SPSSX-L@LISTSERV.UGA.EDU>
From: "Frank J. Gallo" <fjgallo@verizon.net>
Subject: Re: Post-hoc Test for Kruskal-Wallis
In-Reply-To: <11021581312.20050906160533@terra.es>
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Thanks Marta, the macro worked well and saved me time.
Best,
Frank
-----Original Message-----
From: SPSSX(r) Discussion [mailto:SPSSX-L@LISTSERV.UGA.EDU] On Behalf Of
Marta García-Granero
Sent: Tuesday, September 06, 2005 10:06 AM
To: SPSSX-L@LISTSERV.UGA.EDU
Subject: Re: Post-hoc Test for Kruskal-Wallis
Hi Frank,
To simplify the task of running pairwise Mann-Whitney's U tests, you
can use the following macro:
http://www.spsstools.net/Syntax/T-Test/MultipleMann-WhitneyTests.txt
Also, instead of Bonferroni (too conservative), you can select other
methods of adjusting the p-values (more sensitive), while controlling
the experimentwise alpha level:
http://www.spsstools.net/Syntax/Unclassified/AdjustedP-ValuesAlgorithms.txt
As a matter of fact, if you had SPSS 12 (or newer), you could use OMS
to extract the p-values and combine both macros into one. But you tell
you have SPSS 10.1.
HTH
Marta
FJG> Can anyone suggest a post-hoc comparison test, using SPSS, as a
follow-up to
FJG> the Kruskall-Wallis Test? I am looking for a pairwise ranking post-hoc
test
FJG> that controls the significance level for the entire family of
comparisons.
FJG> Does SPSS offer this feature? I am using version 10.1.