Date: Fri, 10 Apr 1998 07:41:24 -0600
Sender: "SPSSX(r) Discussion" <SPSSX-L@UGA.CC.UGA.EDU>
Organization: Deja News - The Leader in Internet Discussion
Subject: Q: replacement for ANOVA when DV is a small integer?
I have to analyse the results of an experiment
with 3 factors: 1 between-subjects factor (group)
and two within-subjects factors (S & L).
The data presents itself as follow (it's only a short excerpt):
Group Subj S1L1 S1L2 S2L1 S2L2
1 1 5 0 4 0
1 2 3 0 2 1
1 3 1 2 0 0
2 1 1 0 1 2
These data represent numbers of mistakes (of which there are 4 types)
made in conversation by different groups of people.
I would like to compared the counts in the differents
conditions yielded by the three factors.
Because the data consists of small integers
with a exponentially decreasing pdf, I believe
that I cannot run a repeated measure ANOVA.
I think of running non-parametric tests, that is,
Wilcoxon paired sample tests for the within-subject comparisons
and Mann-Whitney for the between-group comparisons
(within each variable).
Is this correct? Are there any other types of analysis
I should consider? I have been told to consider logistic regression
but I do not see how it applies (the data, consisting of counts, belong
to a ratio-scale; it's not categorical, even if it is discrete).
But I maybe be missing something here.
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