Table 2.
Regression on total KAP scores.
| Variables | Demographic status | Coefficient | p-value |
|---|---|---|---|
| Constant | 21.2*** | 0.00 | |
| Gender | −0.2*** | 0.6 | |
| Age | 0.1** | 0.4 | |
| Education | (Base-No Schooling) | ||
| Primary | 7.5*** | 0.00 | |
| Higher Secondary | 6.8*** | 0.00 | |
| University | 7.5*** | 0.00 | |
| Technical Education | 6.6*** | 0.00 | |
| Experience | −0.6** | 0.01 | |
| Field of work | (Base- Production) | ||
| QA | −0.1 | 0.7 | |
| Store | −0.03 | 0.8 | |
| Maintenance | −0.004 | 0.8 | |
| HRM | −0.6*** | 0.3 | |
| R-Square = 81.4%; F-value = 155; Prob > F = 0.00 | |||
***significant at 1% level of confidence; **Significant at 5% level of confidence. p-value< 0.05 means we can reject the nulls, hence for both cases the central tendencies of both distributions differ.