Bayesian Linear Regression - Discrepancies between SPSS and JASP Bayes Factor?
I have a problem with discrepancies in the Bayes Factor computed with SPSS and with JASP when running a Bayesian Linear Regression, and would be very thankful for some help.
So, here is what I did:
First, I have run Bayesian Linear Regressions with SPSS for several dependent variables. For this, I added metric covariates and sticked to the default options. The resulting BF10 range from 0.001 to 0.005.
Second, I have run the Bayesian Linear Regression again with JASP. Here again, I used the same metric covariates and sticked to default options. The resulting BF10 ranges now from 0.028 to 0.092. Therefore, there is a difference of about one decimal place when comparing the outputs of both programs...
I already checked whether there might be a difference in the data I used, but when I run a frequentist linear regression, both programs show exactly the same output - so, this is most likely not the problem. Additionally, I compared the default options of both SPSS and JASP and came to the conclusion that it should be generally the same (at least as far as I understand it with basic statistical knowledge), e.g. SPSS uses JZS as prior just like JASP.
Is anyone familiar with this problem? Is there maybe something I might have missed when either conducting the analysis with SPSS or JASP?
Thanking you very much for your help in advance!