How the Bayesia paired t-test is applied
Hi, recently I received a question from a reviewer asking how the Bayesian paired t-test is applied. I assume the question refers to the assumption behind the testing. So what are the assumptions? I am not sure if the ones described in the JASP refer to the NHST or Bayesian approach (continuous difference score; The difference scores are a random sample from the population; The difference scores are normally distributed in the population).
I found that the Bayesian t-test was developed by Kruschke (Bayesian estimation alternative to the t-test - Bayesian Estimation Supersedes the T-test; BEST). However, the assumptions behind the BEST are different (e.g. t-distribution rather than normal) from the NHST t-test ones.
Would anyone be able to assist? (have to submit the rebuttal letter in a few days).