[FieldTrip] Effect size measure for cluster-based permutation tests
christine.blume at sbg.ac.at
Mon Sep 4 14:28:47 CEST 2017
Thanks a lot for your suggestion, which I hoped would prompt more answers. Does anyone have suggestions on how exactly to implement the calculation of an effect size measure?
Von: fieldtrip-bounces at science.ru.nl [mailto:fieldtrip-bounces at science.ru.nl] Im Auftrag von Alik Widge
Gesendet: Mittwoch, 23. August 2017 16:42
An: FieldTrip discussion list
Betreff: Re: [FieldTrip] Effect size measure for cluster-based permutation tests
My naive answer, which perhaps will provoke Eric to provide a better one: you have the actual cluster statistic and its permutation distribution under the null hypothesis. It seems as though that distribution could be assumed Gaussian and something like Cohen's d calculated.
On Aug 23, 2017 9:35 AM, "Blume Christine" <christine.blume at sbg.ac.at<mailto:christine.blume at sbg.ac.at>> wrote:
I came across a question posted by someone about a year ago, which concerned effect size measures for cluster-based permutation tests. Unfortunately, the question does not seem to have been answered…
Q: I am using cluster-based permutation tests (depsamplesT, on time-frequency data) and am wondering how to best calculate an effect size from that.
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