jamovi

Is there a non-parametric alternative for repeated measures anova with more than one factor in jamovi?

i'm not sure that such a thing exists ... so, no.

cheers

jonathon

Strictly speaking there is not - as you are dealing with 'ranked' as opposed to 'raw' scores then this would be problematic for the interaction of the two independent variables. I suppose you could analyse the main effects of each separate IV via the traditional non-parametric route, but you still wouldn't have the interaction effect. You could be sneaky and try to analyse what would be the post hoc tests non-parametrically (assuming the interaction would have been significant), but that would be frowned upon...

Thank you both
I thought it must be possible to run a non-parametric Version of this Design but it seems like there is no alternative that can also handle an interaction between two repeated measures factors

Would be great if there would be an option to use bootstrapping on repeated measures anova

Though not with jamovi, you could do a permutation-test analog of a multifactor ANOVA.

Matrix of Cell Means in a 3 by 3 design:

A1B1, A2B1, A3B1
A1B2, A2B2, A3B2
A1B3, A2B3, A3B3

The test would address the question:

Given many random permutations of the data (i.e., random reassignments of data points to condition labels), and given a statistic such as 'the across-row variance of the across-column variances, how often is the magnitude of the obtained statistic at least as large as the same statistic computed on the un-permuted data?