bayesian two way anova interaction
I analyzed the andy field’s beer goggles data set which is the effect of amount of alcohol consumed and sex on attractiveness of partner using Bayesian two-way anova. The model comparisons table below shows there is very large evidence for the interaction between alcohol and sex on attractiveness of partner.
Then, I tried to determine the simple effects of sex within each level of alcohol on attractiveness of partner using Bayesian independent t test. The table below shows that there is very large evidence for the alternative hypothesis at four beers.
I would like to know if there is a need to correct for multiplicity in the follow-up Bayesian independent samples t test. And if there is a need, how to correct for multiplicity.
Thanks and cheers