Correcting for multiple comparisons in a within subjects / repeated measures ANOVA; excessively conservative? It strikes me that the available corrections for multiple comparisons in the context of a repeated measures ANOVA are excessively conservative.  Is this actually the case?  If so, what are some citations I can use to support this point and learn more?
 A: To the best of my knowledge, the joint distribution of linear contrasts has been derived in the simple ANOVA case (see the documentation of the multcomp R package), but there is are no closed forms for the repeated measures setup. Nevertheless, you can always Bootstrap the joint distribution of these linear contrasts under the null,and look at the minimal t-statistic (or maximal p-value) for setting the significance threshold with FWE control.
As you also suggested, you can use methods which only require some qualitative condition on the joint distribution of the test statistics. Bonferroni is a good option if you have few contrasts. Otherwise, have a look at Holm's. 
If you are looking into many linear contrasts, you should definitely ask yourself you  want protection from any false discovery or only a proportion of false discoveries. In the latter case, use the BH procedure for FDR control. 
A: Here's a collection of links to a SPSS forum. Hope you find it relevant to you to some degree: this, this, this, this.
