Table 2.
Features | Group | Values (Mean +/– SD) | P-value | post-hoc | Effect size |
---|---|---|---|---|---|
CAP rate SWS (%) | HC DoA SHE |
30 +/– 8 65,9 +/– 17,3 76 +/−24 |
p < 0.001 | HC vs. DoA: p = 0.000 HC vs. SHE: p =0.000 DoA vs. SHE: p = 0.0792 |
Overall effect size Cohen's f = 10,607 |
HC vs. DoA: f = 0.7624 HC vs. SHE: f = 1.0440 DoA vs. SHE: f = 0.2427 |
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F(2, 90) = 45.618 eta squared = 0.503 |
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CAP rate N2 (%) | HC DoA SHE |
34 +/– 6 50,1 +/– 14,7 55 +/– 14 |
p < 0.001 | HC vs. DoA: p = 0.000 HC vs. SHE: p = 0.000 DoA vs. SHE: p = 0.2588 |
Overall effect size Cohen's f = 0.6993 |
HC vs. DoA: f = 0.4951 HC vs. SHE: f = 0.6902 DoA vs. SHE: f = 0.1705 |
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F(2, 90) = 21.045 eta squared = 0.319 |
DoA, disorder of arousal; SHE, sleep-related hypermotor epilepsy; HC, healthy controls; SWS, slow wave sleep. Significant results are marked in bold P-values from one-way Anova with Tukey HSD post-hoc test. Effect size: according to Jacob Cohen f values of 0.10, 0.25, and 0.40 represent small, medium, and large effect sizes, respectively; partial eta squared is a measure of the proportion of the total variance in a dependent variable that is associated with the membership to different groups. Values of eta-squared of 0.01, 0.06, and 0.14 represent small, medium, and large effect sizes, respectively.