Table 4. Main effects fixed logit model.
ATTRIBUTE | Attribute level (Baseline) | Odds Ratio | Std. Error | P-value | 95% C.I. | |
---|---|---|---|---|---|---|
WORKLOAD | Heavy workload (vs manageable workload)** | 0.78 | 0.021 | <0.001 | 0.74 | 0.83 |
WORKPLACE CULTURE | Poor culture (vs enabling culture)** | 0.66 | 0.018 | <0.001 | 0.62 | 0.69 |
EQUIPMENT | Insufficient equipment (vs sufficient equipment)** | 0.67 | 0.018 | <0.001 | 0.63 | 0.70 |
TRAINING | Infrequent training (vs frequent training)** | 0.75 | 0.021 | <0.001 | 0.71 | 0.80 |
SECTOR/ FACILITY | Public hospital (vs public clinic)* | 0.91 | 0.043 | 0.042 | 0.83 | 0.99 |
Private clinic (vs public clinic)* | 0.89 | 0.049 | 0.036 | 0.80 | 0.99 | |
Private hospital (vs public clinic) | 0.99 | 0.050 | 0.878 | 0.90 | 1.09 | |
LOCATION | Urban with relocation (vs urban without relocation)** | 0.74 | 0.036 | <0.001 | 0.68 | 0.82 |
Rural without relocation (vs urban without relocation)* | 0.88 | 0.048 | 0.020 | 0.79 | 0.98 | |
Rural with relocation (vs urban without relocation)** | 0.64 | 0.030 | <0.001 | 0.58 | 0.70 | |
SALARY | Salary increase of 10% (vs salary increase of 5%) | 1.09 | 0.051 | 0.063 | 0.99 | 1.19 |
Salary increase of 20% (vs salary increase of 5%)** | 1.29 | 0.071 | <0.001 | 1.16 | 1.44 | |
Salary cut of 20% (vs salary increase of 5%)** | 0.55 | 0.028 | <0.001 | 0.49 | 0.60 | |
BENEFITS | Benefits–medical aid contribution of 7% of salary (vs none)** | 1.42 | 0.067 | <0.001 | 1.29 | 1.55 |
Benefits–pension and medical aid contribution of 20% of salary (vs none)** | 1.79 | 0.098 | <0.001 | 1.61 | 1.99 | |
Benefits–pension, medical aid and housing contribution of 40% of salary (vs none)** | 2.06 | 0.097 | <0.001 | 1.87 | 2.26 | |
Number of observations | 13 604 | |||||
Number of groups | 6 802 | |||||
Log Likelihood | -4012.8065 | |||||
LR Chi2(16) | 1403.96 | |||||
Pseudo R2 | 0.15 |
*: p<0.05 (Significant);
**: p<0.01 (Highly significant); C.I. = confidence interval; SE = standard error