Multiplying Bayes Factors?
I recently conducted an experiment and followed it with a replication. Both experiments include 2 within-subject conditions. I conducted a Bayesian dependent sample t-test using JASP on each one of them separately and found the for the first experiment BF10 = 0.505 and for the second experiment BF10 = 0.603. I saw in a recent paper that in order to update the BF after the replication I should just multiply the two BF (which would give me BF10 = 0.505*0.642 = 0.304). At the same article it was mentioned that the same result should be observed if I combine the two data sets to a single data set. When I tried that, I found a BF10 of 1.131. Perhaps I'm missing something very trivial?
Thanks a lot for all your help!