[FieldTrip] Effect size measure for cluster-based permutation tests

[Alik Widge]

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>
wrote:

> Dear all,
>
>
>
> 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.
>
>
>
> Best,
>
> Christine
>
>
>
>
>
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