Bayes ANOVA - Any chance to adjust prior probabilities?
finally I analysed my own data for a study, that I'm supposed to replicate. Remeber the orignal effect was really huge (p< .001, ηp^2 = .136; BF10 =800000...)?
Now, in the replication data, the ANOVA shows no evidence for anything: p = .075, np^2 =.057; BF01=1.66 with a power of 60% (N=122).
Now, what would be a sensible answer to the question, whether the replication was successful? On the first glance, the previously set criteria (significant p value; CI of Eta to include original effect size) were not met. But what if I took into account the huge effect that showed in the original study and altered the prior probability of H1 accordingly? Actually, everybody expected the effect to replicate with a 90% probability. Is there any way to do that with JASP?
Thanks so much,