Bayesian Mixed ANOVA and power analysis
I searched this forum in the hopes for an answer to the following question:
How do I calculate a-priori power, or my required sample size to obtain a certain effect size, for Bayesian ANOVAs, particularly for a mixed ANOVA where the effect of interest is the interaction term between the between- and the within-subject factor?
I found this app (https://www.bayesianspectacles.org/an-interactive-app-for-designing-informative-experiments/) which only does t-tests, and this one-year old conversation (https://forum.cogsci.nl/discussion/5478/bayesian-power-analysis-for-calculating-sample-size-with-fixed-n) with regards to the alternative approach that suggests using G*Power (i.e. the frequentist approach) while reducing the alpha to .005.
I haven't found anything in JASP so I assume the power analysis functionality has still not been implemented in JASP? Does then the same suggested alternative approach also hold for my specific problem (i.e. reduce the alpha)?
Additionally, say if I wanna answer the question of whether there is evidence for the H0 instead of H1 in this specific case, would I still calculate the power in the same way (i.e. treat it as if I am looking for evidence in favor of the H1)?
Any help is appreciated - thank you!