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Not getting the possibility to perform post-hoc testing for Bayesian ANOVA #588

Open AugustOlsson opened 4 years ago

AugustOlsson commented 4 years ago

Hi, I can't seem to perform post-hoc testing for Bayesian ANOVAs even though that function has (as I understood it) been implemented.

Post-Hoc Between BANOVA Post-Hoc Mixed BANOVA

Best, August

vandenman commented 4 years ago

Posthoc tests are possible for individual variables but not for interactions. Implementing it for interactions will require some additional work, in particular to get the multiplicity correction right. I do think it's a good idea though.

AugustOlsson commented 4 years ago

Hi,

Ah, I am sorry, then I somehow missunderstood which types of post-hoc tests that had been implemented. Thanks for remarking this as enhancement! It would be a great addition :). Thanks for all your great work with JASP:

piolho-eefe commented 2 years ago

Hi, is there any news on the implementation of post hoc tests for interactions in Bayesian ANOVA? Thank you.

JohnnyDoorn commented 2 years ago

Hi @piolho-eefe ,

Unfortunately not, since we have had to focus on other issues for the next release. This will serve as a nice reminder though that it would be very nice feature! I will discuss with @vandenman about how best to tackle this for a future release.

Kind regards Johnny

tomtomme commented 8 months ago

Related: https://github.com/jasp-stats/jasp-issues/issues/670 Also I assigned vandenman here too, since he was assigned to one of the duplicates I closed.

tomtomme commented 7 months ago

@AugustOlsson Would you agree, that this one can be closed as a duplicate of https://github.com/jasp-stats/jasp-issues/issues/670 ?

AugustOlsson commented 7 months ago

@AugustOlsson Would you agree, that this one can be closed as a duplicate of #670 ?

I guess it is almost the same thing? But I am not entirely sure as I am not to knowledgeble about simple main effects analyses. Dosn't a simple main effect analyses only look at the effect of each main effect in isolation (holding the other main effect constant) whereas a post-hoc test of an interaction would also (for example in a 2x2 faktorial design) compare if there is a difference in the dependent variable between lvl1 of independent variable 1 and lvl2 of independent variable 2?

In practice when implementing one of these the other one might though naturally follow?

Best, August