Table 7. Goodness-of-fit and classification accuracy of the binary logistic predictive models predicting adult performance level (professional vs. non-professional; N = 121).
Type of correction used in predictive motorperformance model
Omnibus test of model coefficients
Hosmer-Lemeshow test
Model fit
Correct classification
>2(8)
p
>2(8)
p
R2N
%
None (raw scores)
23.53
.003
6.02
.645
0.24
64.5
Mirwald
21.40
.006
4.84
.775
0.22
66.9
Moore-1
21.39
.006
12.11
.146
0.22
67.8
Moore-2
23.02
.003
6.12
.634
0.24
64.5
Fransen-1
21.53
.006
2.45
.964
0.22
65.3
Fransen-2
21.51
.006
4.24
.835
0.22
66.1
%PAH
18.40
.018
8.79
.361
0.19
68.6
%RAH
28.23
<.001
3.79
.876
0.28
66.1
%PAH = attained percentage of the predicted adult height, %RAH = attained percentage of the real adult height.