[EMAIL PROTECTED] (MMMM) wrote in message 
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> 
> I'm looking for methods of testing differences in distributions
> between groups scored on an ordinal scale.
> 
> I have 4 groups of subjects scored daily for 72 days on a 1-7 scale. 
> I would like to see whether there is a difference between groups in
> terms of the maximum score achieved over these 72 days.  I have taken
> the maximum score for each subject and created a crosstab table. 
> (Counts of max. score by group.)
> 
> Since the data are ordinal, I used Mantel-Haenszel measurements for
> general association as opposed to simply the Chi-Square value.  I
> found that there is an association between maximum score achieved and
> group membership.
> 
> I would now like to determine which groups are statistically
> different, and which are not.  I'm looking for a way to compare these
> groups in a method similar to a multiple comparisons method that you
> would do for an ANOVA.  E.G. I found they're different, now which ones
> are different?  However, I'm having difficulty finding any way to do
> this.

If your're looking for location differences then the current best
ordinal comparison of two independent groups is given by eq 5.12, p 140,
in Norm Cliff's 1996 book Ordinal Methods for Behavioral Data Analysis.
For a corroborating opinion, see the comments re FPC3 on p 500 of
H.Delaney & A.Vargha, Comparing several robust tests of stochastic
equality with ordinally scaled variables and small to moderate sized
samples, Psychological Methods, 7 (2002), 485-503.

Use Bonferroni-based critical-p adjustments to deal with multiple tests.
.
.
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