highly significantp < 0.001
Non-normality was suggested by histograms, Q-Q plots, and highly significant Kolmogorov–Smirnov tests [all D (89) > 0.21, all p < 0.001].
Non-normality was suggested by histograms, Q-Q plots, and highly significant Kolmogorov–Smirnov tests [all D (89) > 0.21, all p < 0.001].
We further calculated Bays Factors (BF) for these tests to find out whether the data favored the null hypotheses H0 for t -tests that failed to reach significance or for tests where we expected H0 to be true.