Statistics
RPE
The normality of the data was assessed by the Shapiro–Wilk test followed by a paired Student’s t-test to compare the Pt and the total time to complete the course between the groups. The RPE and internal charge at each lap were examined by two-way analysis of variance (ANOVA). Tukey’s post-hoc test for multiple comparisons was used whenever necessary. The Cohen d test was used to assess the effect size, adopting the cutoff points of 0.02–0.15 for a small effect, 0.16 to 0.35 as a medium effect, and greater than 0.35 as a large effect. Spearman’s correlation verified the link between RPE and tDCS. We performed a statistical power analysis a priori to estimate the appropriate number of participants required to generate these results. Using G Power program (3.1.9.7), we calculated an effect size (f = 1.5) with 95% confidence (power = 0.95) and α err prob (0.05) in ANOVA repeated measures and between factors. A 95% confidence interval was adopted with a significance value of p < 0.05. The statistical data were tabulated using JAMOVI v. 2.3 software.