Hi,
I'm trying to finish my dissertation and a person on my committee raised
the question of me having to do a Bonferroni correction. Here is the
situation. I have 5 subjects that I have tested at 5 different times
for 2 different conditions (cued and uncued). When I do a repeated
measures ANOVA, I get the the difference between the two conditions over
those 5 seperate times is statistically significant. Now, I also have a
baseline condition that I want to compare the cued and uncued conditions
to at each of the 5 times individually. For example, I want to compare
Baseline value to cued at time 1, then Baseline to cued at time 2, etc.
To do these comparisons, I use a paired t-test and a significance level
of 0.05. The person on my committee suggests that the p-value should be
adjusted to be 0.01 to correct for atleast 5 comparisons of cued, and
the same when uncued is compared to baseline.
I hope what I said makes sense. I'm not a statistician but I could use
help, because from my reading on Bonferroni, I don't think I have to
make those corrections. If you have suggestions, please e-mail me at
[EMAIL PROTECTED]
Thanks,
Jason
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