I am running a repeated measures ANOVA in r. The same group undergoes to
four different treatment conditions. So, all individuals are treated with
treatments A, B, C and D in four different occasions.
Once I get a significant ANOVA, I first run a paired samples t-test using
t.test(X1,X2,paired=TRUE) #being x1 the punctuation after treatment 1 and
x2 the punctuation after
After this, I run a Tukey posthoc test for repeated measures as stated in
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, not here.
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On Tue, Nov 28, 2017 at 6:00 AM, Francesc Pla Juncà <[hidden email]>
> Thanks in advance for your help.
> I am running a repeated measures ANOVA in r. The same group undergoes to
> four different treatment conditions. So, all individuals are treated with
> treatments A, B, C and D in four different occasions.
> Once I get a significant ANOVA, I first run a paired samples t-test using
> the code:
> t.test(X1,X2,paired=TRUE) #being x1 the punctuation after treatment 1 and
> x2 the punctuation after
> treatment 2.
> After this, I run a Tukey posthoc test for repeated measures as stated in
> The fact is that once I get both results, there are some occasions in which
> I get lower p values with Tukeys correction than in paired t-tests.
> How is it possible? Isn't Tukey more restrictive than paired t-tests?
> [[alternative HTML version deleted]]
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