Table 5. Logistic regression analyses: Predicting pass rates for screen, basic and advanced courses based on K-PAT total score
종속변수
B
SE
Wald
p
df
OR
OR 95% 신뢰구간
하한
상한
입문과정 수료
0.041
***
.009
19.908
<.001
1
1.042
1.023
1.061
χ
2
(1) = 20.733 (
p
<.001), Nagelkerke
R
2
= .057, 분류정확도 = 91.2%
기본과정 수료
0.060
***
.007
77.911
<.001
1
1.061
1.047
1.075
χ
2
(1) = 92.398 (
p
<.001), Nagelkerke
R
2
= .154, 분류정확도 = 73.6%
고등과정 수료
0.081
***
.021
15.498
<.001
1
1.084
1.041
1.129
χ
2
(1) = 16.829 (
p
<.001), Nagelkerke
R
2
= .116, 분류정확도 = 96.0%
주:
p
<.05,
p
<.01,
p
<.001.