Discrepant results between JASP & BayesFactor - Repeated Measures ANOVA
subj = 1:10,
I am finding different results between the two when conducting a bayesian repeated measures anova, and I'm not sure if I'm mis-specifying it (in JASP or BayesFactor) or interpreting the output incorrectly.
Example experiment: Subjects are assigned conditions (treatment vs. control) and take two tests (science and math).
df <- data.frame( subj = 1:10 condition = sample(x=c("treatment", "control"), size = 10, replace = T) science.score = sample(x = 50:100,size =10, replace = T) math.score = sample(x = 25:75,size =10, replace = T)) df.long <- melt(df, variable.name = "test", value.name = "score", id.vars = c("subj", "condition"))
When I perform a frequentist repeated measures anova in JASP and BayesFactor, the results converge:
However, when I do a Bayesian Repeated Measures ANOVA, the results diverge (or, at least I think they do):
I specified both ANOVAs the same way in JASP, so I'm not sure what I'm doing wrong!
Any help would be much appreciated