Difference between classical one sample T-test and Bayesian T-test
As a new learner of Jasp and Bayes analyses, I re-analyzed some of my old data where the overall performance of my participants was slightly but significantly above chance (>50%; unilateral one sample t-test; t(23)=2.14,p=0.02).
Regarding unilateral Bayesian T-test, I have a Bayes Factor of 2.8 when using the default value of Cauchy prior width (and my Bayes Factor increases, reaching more than the value 3, when I decrease the prior).
I am a bit concerned regarding the conclusions I should draw on my data:
1/ is the Bayes Factor low enough so that I should re-interpret my data and do not conclude in favor of H1 ?
2/ About the manipulation of the prior, I wonder what are the consequences of increasing/decreasing this factor?
3/ I am not sure about the information in the Sequential Analysis plot, could someone give me hints about how to read it ?
Thanks a lot,