Table 4: Standard linear multiple regression analysis of demographic, work shift, and WAI variables.
|
Coefficientsa
|
| Model |
Unstandardized Coefficients |
Standardized Coefficients |
t |
Sig. |
| B |
Std. Error |
Beta |
| 1 |
(Constant) |
39.067 |
3.255 |
|
12.002 |
.000 |
| Age |
- .304 |
.125 |
-.234 |
- 2.436 |
.015* |
| Work experience (yrs.) |
- .045 |
.146 |
-.029 |
- .309 |
.757 |
| Marital status |
- .065 |
.703 |
-.005 |
-.092 |
.926 |
| Work setting |
- 1.722 |
.739 |
-.125 |
-2.330 |
.020* |
| Work shift |
- 1.223 |
.409 |
-.159 |
-2.991 |
.003* |
| Transportation |
- 2.004 |
.769 |
-.127 |
-2.605 |
.010* |
| Total MMJS score |
.101 |
.019 |
.260 |
5.213 |
.000* |
aDependent variable: Total WAI score
* Significant at the 0.05 level (2-tailed).