Probably dumb question about Bayesian t tests in JASP
This is probably a really dumb question, but when I run a Bayesian t test on some data using the default scaled Cauchy prior (sigma=0.707) I get one BF, yet when I define a custom prior to be a Cauchy with the SAME scale, I get a different BF. Note that my data set is huge (~20,000 points). My first thought was that the scale in the default prior is really an irrational number and 0.707 is rounded simply for display purposes. Is this true?
Comments
EDIT: Rather than custom, I meant to say informed.
Good question! The .707 from the default test is really 1/2 * sqrt(2). What you can do to check is use the informed test with "0.7071068" instead -- the result should be closer. Also, we have a better routine for the informed t-test now (much faster too); we hope to implement this soon.
Cheers,
E.J.