2.13. Statistical Analysis
Before comparing both conditions (TRE vs. non-TRE), data were tested for normality and homoscedasticity with the Kolmogorov–Smirnov and Mauchly’s test, respectively. Based on the results from a previous study [A one-way repeated measures ANOVA was used to determine baseline differences between conditions in terms of impact on strength and body composition. To analyze the differences between conditions after each intervention, an ANCOVA was computed for each dependent variable, entering the condition as a within factor and the baseline measures as covariates. To determine the effect of each diet on the evolution of the dependent variables from pre- to post-training, an ANOVA with repeated measures was performed (condition (TRE vs. non-TRE) by time (pre- vs. post-intervention)). When a significant interaction was detected, 