Table 1.
Three-way (Time × Sensor Scalp Location × Sensor Scalp Assessment Time) repeated-measures ANOVA assessing delta, theta, alpha, beta, and gamma waves brain waves using Muse™ biofeedback among a sample of 30 PCa survivors from the Maritimes, Canada.
| Delta Waves | Test Statistic 1 | p Value | η2 | Power |
|---|---|---|---|---|
| Time | F (1, 27) = 0.99 | 0.33 | 0.04 | 0.16 |
| Sensor Scalp Location | F (2.11, 57.05) = 19.28 | <0.001 | 0.42 | 1 |
| Sensor Scalp Assessment Time | F (4.38, 118.22) = 11.20 | <0.001 | 0.29 | 1 |
| Time × Sensor Scalp Location | F (2.15, 57.95) = 0.37 | 0.71 | 0.01 | 0.11 |
| Time × Sensor Scalp Assessment Time | F (4.67, 126.03) = 4.06 | 0.002 | 0.13 | 0.94 |
| Time × Sensor Scalp Location × Sensor Scalp Assessment Time | F (8.55, 230.84) = 1.25 | 0.27 | 0.04 | 0.59 |
| Sensor Scalp Location × Sensor Scalp Assessment Time | F (9.90, 267.20) = 0.56 | 0.84 | 0.02 | 0.29 |
| Theta Waves | Test Statistic | p Value | η2 | Power |
| Time | F (1, 27) = 1.94 | 0.18 | 0.07 | 0.27 |
| Sensor Scalp Location | F (1.97, 53.18) = 81.79 | <0.001 | 0.75 | 1 |
| Sensor Scalp Assessment Time | F (4.27, 115.15) = 6.74 | <0.001 | 0.20 | 0.99 |
| Time × Sensor Scalp Location | F (2.03, 54.80) = 0.57 | 0.57 | 0.02 | 0.14 |
| Time × Sensor Scalp Assessment Time | F (4.67, 126.15) = 4.14 | 0.002 | 0.13 | 0.94 |
| Time × Sensor Scalp Location × Sensor Scalp Assessment Time | F (7.35, 198.44) = 1.03 | 0.42 | 0.04 | 0.45 |
| Sensor Scalp Location × Sensor Scalp Assessment Time | F (8.86, 239.08) = 1.42 | 0.18 | 0.05 | 0.67 |
| Alpha Waves | Test Statistic | p Value | η2 | Power |
| Time | F (1, 27) = 1.68 | 0.21 | 0.06 | 0.24 |
| Sensor Scalp Location | F (2.07, 55.87) = 225.15 | <0.001 | 0.89 | 1 |
| Sensor Scalp Assessment Time | F (3.41, 92.17) = 0.90 | 0.45 | 0.03 | 0.26 |
| Time × Sensor Scalp Location | F (2.04, 55.11) = 0.62 | 0.55 | 0.02 | 0.15 |
| Time × Sensor Scalp Assessment Time | F (4.69, 126.60) = 2.44 | 0.04 | 0.08 | 0.74 |
| Time × Sensor Scalp Location × Sensor Scalp Assessment Time | F (7.62, 205.73) = 2.09 | 0.04 | 0.07 | 0.82 |
| Sensor Scalp Location × Sensor Scalp Assessment Time | F (7.65, 206.52) = 2.60 | 0.01 | 0.09 | 0.91 |
| Beta Waves | Test Statistic | p Value | η2 | Power |
| Time | F (1, 27) = 0.65 | 0.43 | 0.02 | 0.12 |
| Sensor Scalp Location | F (1.86, 50.11) = 39.72 | <0.001 | 0.60 | 1 |
| Sensor Scalp Assessment Time | F (2.81, 75.97) = 0.85 | 0.47 | 0.03 | 0.22 |
| Time × Sensor Scalp Location | F (1.94, 52.40) = 0.64 | 0.53 | 0.02 | 0.15 |
| Time × Sensor Scalp Assessment Time | F (4.83, 130.32) = 4.48 | <0.001 | 0.14 | 0.96 |
| Time × Sensor Scalp Location × Sensor Scalp Assessment Time | F (7.22, 194.92) = 1.77 | 0.09 | 0.06 | 0.72 |
| Sensor Scalp Location × Sensor Scalp Assessment Time | F (5.20, 140.30) = 1.33 | 0.25 | 0.05 | 0.47 |
| Gamma Waves | Test Statistic | p Value | η2 | Power |
| Time | F (1, 27) = 1.82 | 0.19 | 0.06 | 0.26 |
| Sensor Scalp Location | F (1.95, 52.65) = 4.49 | 0.02 | 0.14 | 0.74 |
| Sensor Scalp Assessment Time | F (2.88, 77.72) = 2.50 | 0.07 | 0.09 | 0.59 |
| Time × Sensor Scalp Location | F (1.70, 46.02) = 0.80 | 0.44 | 0.03 | 0.17 |
| Time × Sensor Scalp Assessment Time | F (3.43, 92.72) = 3.62 | 0.01 | 0.12 | 0.82 |
| Time × Sensor Scalp Location × Sensor Scalp Assessment Time | F (6.82, 184.26) = 0.99 | 0.44 | 0.04 | 0.41 |
| Sensor Scalp Location × Sensor Scalp Assessment Time | F (5.30, 143) = 2.37 | 0.04 | 0.08 | 0.76 |
1 Using the Greenhouse–Geisser adjustment to the degrees of freedom.