Bayesian Repeated Measures ANOVA
In a frequentist repeated measure ANOVA I found a significant main effect of difficulty (p < .001) and no significant main effect of drink type (p = .798) or interaction between difficulty and drink type (p = .973). I'd like to further this by conducting Bayesian analyses, can someone double check my interpretation of the output below?
Extremely (?) strong evidence in favour of a main effect of difficulty (p <.001; BF10 = 723439.24). Anecdotal evidence in favour of the non-significant main effect of drink type (p = .798; BF10 = 0.15). Inconclusive evidence to support the non-significant interaction effect between difficulty and drink type (p = .973; BF10 = 0.09).
The BF10 for the interaction was calculated by: 9518.224 / 108820.390 = 0.08746728 (and then I rounded this to two decimal places).
Thanks very much for any advice!
To finish: Out of curiosity, what difference does it make to under 'order' select 'compare to null model' versus 'compare to best model' - is there a gold standard option to select here? For now I have compared to null model.