I want to compare differences between two groups(n1=26, n2=18) regarding their performance on different tests but also explore how each group performed on different times of these tests. I am therefore inspecting my data for normality to see if I could use t-tests, one-way anova and repeated measures anova. Shapiro-Wilks testing showed that for some variables group1 responses met the normality criteria but group2 not whereas for some other variables it was the opposite. How should I proceed? Use parametric tests for some variables and non-parametric for those that do not meet criteria or non-parametric for all?