Bayes factors
To facilitate the interpretation of the results of the confirmatory analysis, we provide Bayes factors. A Bayes factor (BFWe compare several alternative hypotheses postulating small beneficial effects of creatine to the null hypothesis. For RAPM, the data was very insensitive, very weakly favouring the alternative hypotheses. For BDS, the data was more sensitive, providing weak to moderate support in favour of the alternative hypotheses. Two different approaches to calculating these Bayes factors were used (see statistical analysis) and the results were similar (Table Results of Bayesian analysisBayes factors (BFThere was strong evidence in favour of the null hypothesis compared to the alternative hypothesis postulating the effect size found by Rae et al. [The results were similar whether using normal or Cauchy distributions. For more details on this and the aforementioned calculations, see the In summary, this study provides weak to moderate evidence for a small cognitive benefit of creatine and strong evidence against the effect size by Rae et al. [