“…Implementing multiple statistical tests enables researchers to identify and report any results that can be statistically supported (Friese & Frankenbach, 2019;Simmons et al, 2016;Wilson et al, 2022), a problem referred to as analytical flexibility (Dienes, 2023). Put simply, in studies using both approaches (Chen et al, 2022;Guo et al, 2021), the same statistical test is conducted twice, but with a different statistical approach, and provides an independent result for the frequentist test (i.e., p-value) and another independent result for the Bayesian test (i.e., BF). As such, the issue of analytical flexibility arises, which translates to increased researcher degrees of freedom, and consequently, bias.…”