Robustness checks
We checked the robustness of our confirmatory analysis (the normal ANOVA) by performing an ANOVA on 20%-trimmed data, an ANOVA on 5%- and 20%-winsorised data, and an ANOVA which uses bootstrapping and 20% trimming.For RAPM, all of these methods gave overall similar results to that of the normal ANOVA (Table Results of robustness checksCreatine effect For BDS, whose skewness statistic was slightly further from 0 than that of RAPM, these methods gave results that differ from each other and from the normal ANOVA to a relevant extent (Table Thus, the result for RAPM was robust and for BDS much less so.