Table S1. Correlation of confounding factors toward categorical data of variables.
|
Variable |
Df |
MF |
F |
Sig. |
| Game
Position |
ACC1 |
2 |
12.299 |
.379 |
.685 |
| RT1 |
2 |
4.507 |
1.495 |
.230 |
| HRV1 |
2 |
.350 |
.277 |
.759 |
| CPA1 |
2 |
80.090 |
1.150 |
.322 |
| SC1 |
2 |
26.173 |
1.367 |
.260 |
| MF1 |
2 |
1.350 |
.953 |
.390 |
| RPE1 |
2 |
1.011 |
.623 |
.539 |
| Sport
Level |
ACC1 |
2 |
20.055 |
.622 |
.539 |
| RT1 |
2 |
7.804 |
2.656 |
.076 |
| HRV1 |
2 |
2.080 |
1.699 |
.189 |
| CPA1 |
2 |
31.268 |
.442 |
.644 |
| SC1 |
2 |
6.467 |
.330 |
.720 |
| MF1 |
2 |
.338 |
.235 |
.791 |
| RPE1 |
2 |
2.602 |
1.641 |
.200 |
Moreover, Pearson correlation was recruited to determine whether the continuous
data (age, duration of training, motivation, and trait self-control) were correlated or not.
One moderate correlation (r = 0.324, p = 0.002) between pre-test motivation (MO1) and
pre-test cognitive and somatic anxiety (CSA) was found. Therefore, analyses were applied
to two-way repeated ANOVA, except for the variable of CSA, which was applied to
two-way repeated ANCOVA (Table S2)
