Table 4.
Univariate logistic regression to isolate gender differences in factors influencing career choice
| |
Female vs Male |
|||
|---|---|---|---|---|
| |
Univariate |
|||
| OR | 95 % CI | p-value | ||
| ‘Lack of specialists in that area’ |
|
|
|
|
| Neutral |
1.0 |
|
|
|
| Contributory |
0.7 |
0.3 - |
1.8 |
0.4465 |
| Not Contributory |
0.2 |
0.0 - |
0.7 |
0.0178* |
| ‘Mentor emulation’ |
|
|
|
|
| Neutral |
1.0 |
|
|
|
| Contributory |
0.4 |
0.2 - |
0.9 |
0.0292* |
| Not Contributory |
1.0 |
0.3 - |
4.3 |
1.0000 |
| ‘Duration of residency’ |
|
|
|
|
| Neutral |
1.0 |
|
|
|
| Contributory |
0.5 |
0.2 - |
1.2 |
0.1201 |
| Not Contributory | 2.0 | 0.7 - | 6.4 | 0.2051 |
Statistical analysis used: nominal logistic regression.