Statistical tables
| Lines | Data structure | Type of test | Power1 |
|---|---|---|---|
| a | Normal distribution | RM-MANOVA | 0.021 |
| b (FFH far) | Normal distribution | Paired t test | 7.95; 4.20, 11.69 |
| c (FFH near) | Normal distribution | Paired t test | 4.23; 0.75, 7.70 |
| d (HHH far) | Normal distribution | Paired t test | 10.07; 5.97, 14.18 |
| e (HHH near) | Normal distribution | Paired t test | 6.68; 3.22, 10.14 |
| f | Normal distribution | RM-ANOVA | 0.236 |
| g | Normal distribution | RM-ANOVA | 0.336 |
| h | Normal distribution | Paired t test | −0.84; −1.67, 0.0082 |
| i | Normal distribution | Paired t test | −3.86; −5.59, −2.14 |
| j | Normal distribution | Paired t test | −0.16; −0.25, 0.56 |
| k | Normal distribution | Paired t test | −1.14; −2.58, 0.30 |
| l | Normal distribution | RM-ANOVA | 0.214 |
| m | Normal distribution | RM-MANOVA | 0.129 |
| n | Normal distribution | Paired t test | 0.26; 0.10, 0.43 |
| o (FFF) | Non-normal distribution | Wilcoxon signed rank test | 0.98 |
| p (FFH) | Non-normal distribution | Wilcoxon signed rank test | 0.88 |
| q (HHF) | Normal distribution | Paired t test | 11.61; 6.26, 16.97 |
| r (HHH) | Normal distribution | Paired t test | 12.57; 7.78, 17.36 |
| s | Normal distribution | RM-ANOVA | 0.515 |
| t | Approximate normal distribution2 | RM-ANOVA | 0.017 |
| u | Normal distribution | Paired t test | −3.4; −4.99, 1.88 |
| v | Normal distribution | Paired t test | 0.12; −0.83, 1.1 |
| w | Normal distribution | RM-MANOVA | 0.034 |
| x (FFH far) | Normal distribution | Paired t test | 7.42; 1.11, 13.75 |
| y (FFH near) | Normal distribution | Paired t test | 9.02; 3.35, 14.69 |
| z (HHH far) | Normal distribution | Paired t test | 8.23; 1.93, 14.52 |
| aa (HHH near) | Normal distribution | Paired t test | 13.57; 3.99, 23.16 |
| bb | Normal distribution | RM-ANOVA | 0.168 |
| cc | Normal distribution | Paired t test | −2.88; −5.22, −0.55 |
| dd | Normal distribution | Paired t test | −4.88; −7.69, −2.07 |
| ee | Normal distribution | RM-ANOVA | 0.009 |
↵1 Power for t tests is shown as: mean difference, lower bound of 95% confidence interval, upper bound of 95% confidence interval; Power for RM-ANOVA is partial η2 of interaction of interest; Power for Wilcoxon signed rank test is test statistic/rank (W/S).
↵2 RM-ANOVA is robust against normality violations, and thus only requires approximate normal distribution. Only the P2 HHH condition violated the normality assumption based on the Shapiro–Wilks test.