Data structure | Type of test | Power (95% C.I.) |
---|---|---|
Memory accuracy (beta distribution) | ||
• Double vs single | Mixed-model ANOVA, Bonferroni’s test | CI: 1.712, 10.260 |
• Sham vs single | CI: −2.924, 5.765 | |
• Double vs sham | CI: 0.221, 8.910 | |
Mathematical accuracy (beta distribution) | ||
| Mixed-model ANOVA, Bonferroni’s test | CI: −2.316, 1.836 |
| CI: −3.674, 0.547 | |
| CI: −0.787, 3.434 | |
Time of memorizing and calculation (gamma distribution) | ||
| Mixed-model ANOVA, Bonferroni’s test | CI: −1.468, −0.544 |
| CI: −0.338, 0.586 | |
| CI: −1.336, −0.428 | |
Recall response time (gamma distribution) | ||
| Mixed-model ANOVA, Bonferroni’s test | CI: −0.960, 1.710 |
| CI: 0.877, 3.591 | |
| CI: −0.502, 3.216 |
C.I. indicates confidence interval. Detailed information about assumption testing of mixed-model ANOVA are presented in Extended Data Table 1-1.