Jackknifing & Bayesian rmANOVA
I am running an analysis on event-related-potential latency measures that were obtained using a jackknifing approach (see Kiesel et al., 2008, Psychophysiology). With a frequentist repeated-measures ANOVA, the analysis of such subsample scores requires the correction of the resulting F-values; that is because jackknifing artificially reduces the error variances in the ANOVA and consequentially, the F-values are too large (see Ulrich & Miller, 2001, Psychophysiology).
However, I now want to run a bayesian rmANOVA - is jackknifed data suitable for a bayesian analysis or does it require some kind of correction as well? I appreciate any thoughts on this.