Interpreting a Bayes Factor that favours the alternative hypothesis
I was wondering how to report/interpret a BF that supports the alternative hypothesis
Would something like this be correct, or can you only interpret the BF if it favours the null hypothesis?
Participants gave significantly more answers in Condition X than in Condition Y, t(50) = ..... (report statistics from classical t-test). A Bayes factor (BF10) of 76.0 indicates that the observed data are 76 times more likely under the alternative hypothesis that postulates a difference between the conditions, than under the null hypothesis. This can be considered strong evidence according to the guidelines by ....