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  • https://stats.libretexts.org/Courses/Cerritos_College/Introduction_to_Statistics_with_R/19%3A_Bayesian_Statistics/19.04%3A_Evidentiary_Standards_You_Can_Believe
    For example, Johnson (2013) presents a pretty compelling case that (for t-tests at least) the p<.05 threshold corresponds roughly to a Bayes factor of somewhere between 3:1 and 5:1 in favour of the al...For example, Johnson (2013) presents a pretty compelling case that (for t-tests at least) the p<.05 threshold corresponds roughly to a Bayes factor of somewhere between 3:1 and 5:1 in favour of the alternative. Let’s suppose that the null hypothesis is true about half the time (i.e., the prior probability of H 0 is 0.5), and we use those numbers to work out the posterior probability of the null hypothesis given that it has been rejected at p<.05.
  • https://stats.libretexts.org/Workbench/Learning_Statistics_with_SPSS_-_A_Tutorial_for_Psychology_Students_and_Other_Beginners/14%3A_Bayesian_Statistics/14.04%3A_Evidentiary_Standards_You_Can_Believe
    For example, Johnson (2013) presents a pretty compelling case that (for t-tests at least) the p<.05 threshold corresponds roughly to a Bayes factor of somewhere between 3:1 and 5:1 in favour of the al...For example, Johnson (2013) presents a pretty compelling case that (for t-tests at least) the p<.05 threshold corresponds roughly to a Bayes factor of somewhere between 3:1 and 5:1 in favour of the alternative. Let’s suppose that the null hypothesis is true about half the time (i.e., the prior probability of H 0 is 0.5), and we use those numbers to work out the posterior probability of the null hypothesis given that it has been rejected at p<.05.

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