From: The Relationship Between Visual Function and Performance in Para Swimming
Performance measures | Main outcomes | ||||||
---|---|---|---|---|---|---|---|
Decision tree split | Performance difference | Trees with at least one split (%) | Frequency of first split | Splitting performance | Logistic regression included at step 1 | Logistic regression included at step 2 | |
Finish time | Single split at 2.6 logMAR | > 2.6 logMAR n = 12 M = 0.939 ≤ 2.6 logMAR n = 29 M = − 0.364 t(26.83) = 5.07, p < 0.001, d = 1.6 | 83.92 | 2.6 logMAR 41.6% 2.1 logMAR 24.4% 2.5 logMAR 10.7% 1.9 logMAR 9.3% Others 14.0% | Youden’s J 0.398 Sensitivity 0.86 Specificity 0.83 | Intercept p < 0.001 Visual acuity p < 0.002 χ2 = 15.10 Nag. R2 = 0.43 % Cor. Class. = 85.4 | Intercept p = 0.079 Visual acuity p = 0.283 Visual search p = 0.102 Motion perception p = 0.060 Light sensitivity p = 0.095 Depth perception p = 0.141 χ2 = 30.03* Nag. R2 = 0.72 % Cor. Class. = 87.8 |
Mean lateral position | Single split at 2.6 logMAR | > 2.6 logMAR n = 12 M = 0.689 ≤ 2.6 logMAR n = 26 M = 0.277 t(23.79) = 7.37, p < 0.001, d = 2.5 | 99.97 | 2.6 logMAR 44.6% 2.5 logMAR 27.4% 2.2 logMAR 17.8% Others 10.2% | Youden’s J 0.505 Sensitivity 0.85 Specificity 0.91 | Intercept p < 0.001 Visual acuity p < 0.001 χ2 = 22.59 Nag. R2 = 0.61 % Cor. Class. = 89.5 | Intercept p = 0.997 Visual acuity p = 0.009 Depth perception a p = 0.070 χ2 = 27.70* Nag. R2 = 0.71 % Cor. Class. = 86.8 |