Bayesian ANOVA in JASP - how does it work?
my name is Jan and I'm currently working on my Bachelor's thesis. My task is to replicate a study. In the original study, four group means were analysed by an ANOVA with the hypothesis, that the means would not show any differences (i.e. the groups means being comparable). In a private mail, the authors stated that they didn't focus on NHST but simply analysed the data "in a loose way" by comparing means for each item.
Now, for the replication, I have identified an item which did show quite a statistically significant difference and effect size (see attached file) - so it seems suitable for a replication project. To determine, whether there actually exists a difference between groups, I'd like to use Bayes factors.
Now, here are my questions:
1) I wish to calculate the BF by hand from the rregular ANOVA output. Using the equation provided by Wagenmakers et al. (2007) I first calculate deltaBIC10 = n*ln(SSError/(SSError+SSEffect))+ (k1-k0)*ln n
So far, after consulting further literature, I still do not understand, what value to insert for k1 and k0 in my case. And what is the underlying routine in JASP for the BAYES ANOVA/Bayes factor calculation?
2) Running the Bayesian ANOVA in JASP for that item with the statistically significant differences and the large effect size, results in a Bayes Factor10 of 2.49e+15
Is this a plausible result?
Thank you for your much appreciated hints and help,