log(BF10) vs. BF10?
Hi,
I am trying to calculate the fit of data across H0 and H1 using a independent samples t-test. Here's the output:
May I know what is the raw value for the BF10? Given the extremely large BF10, should I report the log(BF10) instead? If so, how should I report and interpret the BF according to Jeffrey's guidelines?
I am trying to describe the results in this format: "A two-sided analysis revealed a Bayes factor (BF10) that the data were 442346 times more likely under the alternative than the null hypothesis."
Please help!
Thanks.
Comments
We are using the scientific E-notation for large numbers (https://en.wikipedia.org/wiki/Scientific_notation#E_notation). So 2.961 e+6 is shorthand for 2.961 * 10^6 = 2,961,000. If you use the log BF, you have to exponentiate, so compute exp(14.901).
Cheers,
E.J.