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Table 7 Results summary for finish time and mean lateral position

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

  1. % Corr. Class, percentages of correct classification, Nag. R2, Nagelkerke R2
  2. *Indicates a significant change in χ2 from step 1 to step 2
  3. aPredictor is kept in the model despite p > 0.05, because the selection criteria was based on the AIC