Bayesian Frequentists: Examining the Paradox Between What Researchers Can Conclude Versus What They Want to Conclude From Statistical Results

A majority of statistically educated scientists draw incorrect conclusions based on the most commonly used statistical technique: null hypothesis significance testing (NHST). Frequentist techniques are often claimed to be incorrectly interpreted as Bayesian outcomes, which suggests that a framework may fit better inferences researchers frequently want make (Briggs, 2012). The current study set out test this proposition. Firstly, we investigated whether there is discrepancy between what think they can conclude and able from NHST. Secondly, extent incorporate prior results their personal beliefs in inference. Results show expected NHST conclude. Furthermore, were interested incorporating results, but not beliefs, into