Statistical methods
For each cognitive test, we conducted a mixed ANOVA with test score after supplementation as the dependent variable, supplement (creatine vs placebo) as the within-subjects factor and supplement order (creatine-first vs placebo-first) as the between-subjects factorWe conducted a frequentist analysis, because it is widely understood and it offers the insight of how likely the data is under the null hypothesis. However, we also wanted to know whether the data was more likely under the null or under the alternative hypotheses, i.e. in which direction to update our credence, and to what extent. We conducted a Bayesian analysis, because it answers this question. We were interested in comparing the null hypothesis to different alternative hypotheses—postulating a large effect like in the study we replicated [