We then tested for differences in runners’ average speed, using a repeated-measures (within-participant) ANOVA, with run distance as a within-participant factor, which allows us to control for across-participant speed differences. We found no differences in runners’ speeds across this 3-...
For post hoc analysis, we utilized a paired two-sidedt-test for multiple comparisons with Holm–Bonferroni correction (significance level=0.05; Scikit–Learn, Python 3.6) in order to compare the spring coefficients with each other and find out which spring coefficient yields a significant change in...
Additionally, to assess whether the differences between conditions were statistically significant, we performed two-way repeated measures analyses of variance (ANOVA). Within subject factors were running condition and session. When appropriate, Greenhouse–Geisser corrections were performed in case of violati...
Additionally, to assess whether the differences between conditions were statistically significant, we performed two-way repeated measures analyses of variance (ANOVA). Within subject factors were running condition and session. When appropriate, Greenhouse–Geisser corrections were performed in case of violati...