Hi Annette,

the name of the procedure you described is "Holm's method", sometimes also
referred to as "Bonferroni-Holm"-correction.

There also exists a sequential procedure which starts out with the largest
values of p and tests whether comparisons are not significant, called
Simes-Hochberg Method, which is even less popular than Bonferroni-Holm.

Regards, 
Rainer


Dr. Rainer Scheuchenpflug
Lehrstuhl fuer Psychologie III
Roentgenring 11
97070 Wuerzburg
Tel:   0931-312185
Fax:   0931-312616
Mail:  scheuchenpf...@psychologie.uni-wuerzburg.de




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Subject: Re: Cross-cultural scientific screw-up, big-time
From: <tay...@sandiego.edu>
Date: Wed,  7 Jan 2009 15:11:09 -0800 (PST)
X-Message-Number: 31

There are various bonferroni procedures you can use if you google them. In
one such procedure (darn, the name escapes me!) you simply do the number of
post-hoc tests you want as t-tests and then rank order by p-values. You then
divide alpha by the total number of comparisons and multiple times the rank
order for the critical p. As soon as you fair to exceed critical p you stop
and nothing else is considered significant.

For example, let's say you are interested in three specific comparisons, you
do the t-tests and get the following p-values: .010, .040, .045.

If .05 is normally the accepted critical p-value and it is the one you want
to use, then you would use the three critical values for comparison to the
obtained p-values as (.05/3)*1 = .017. OK, .010 is less than that so the
first comparison is considered significant. Next you'd go to (.05/3)*2 =
.033 and since you obtained .040 you now reject that one all subsequent
comparisons are nonsigificiant. So you don't need the last comparison, which
would have given you a comparison of .05. So by controlling for the
increased probabiilty of incorrectly finding a significant difference where
it is not likely to exist you have now rejected 2 out of the 3 comparisons
that you might otherwise have accepted.

There really is a name for this procedure but I'm having an old-timer's
moment....it will come to me eventually.

Of course, all of this presumes you are wedded to the theoretical ideas that
underlie traditional significance testing.

Annette

Annette Kujawski Taylor, Ph.D.
Professor of Psychology
University of San Diego
5998 Alcala Park
San Diego, CA 92110
619-260-4006
tay...@sandiego.edu



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