Table 4.
A hierarchical regression showing predictors of job stress
| Step 1 | B | Std error | β | p | R | R2 | ΔR2 |
|---|---|---|---|---|---|---|---|
| (Constant) | 42.738 | 3.163 | .000 | .280 | .078 | .078 | |
| Age | 1.609 | .962 | .170 | .096 | |||
| WE | .976 | .725 | .132 | .179 | |||
| WH | -2.229 | 1.171 | -.133 | .058 | |||
| Step 2 | |||||||
| (Constant) | 41.733 | 2.994 | .000 | .426 | .182 | .104 | |
| Age | 1.636 | .909 | .172 | .073 | |||
| WE | .437 | .692 | .059 | .529 | |||
| WH | -1.244 | 1.122 | -.074 | .269 | |||
| WL | 1.102 | .213 | .333 | .000 | |||
| Step 3 | |||||||
| (Constant) | 42.587 | 3.189 | .000 | .429 | .184 | .002 | |
| Age | 1.626 | .910 | .171 | .075 | |||
| WE | .380 | .697 | .051 | .586 | |||
| WH | -1.497 | 1.169 | -.089 | .202 | |||
| WL | 1.117 | .214 | .338 | .000 | |||
| CWS | .076 | .098 | .052 | .434 | |||
| Step 4 | |||||||
| (Constant) | 44.768 | 3.075 | .000 | .512 | .262 | .078 | |
| Age | 1.009 | .877 | .106 | .251 | |||
| WE | .932 | .675 | .126 | .168 | |||
| WH | -2.318 | 1.128 | -.138 | .041 | |||
| WL | 1.301 | .208 | .393 | .000 | |||
| CWS | .037 | .094 | .025 | .693 | |||
| WL*CWS | .129 | .028 | .301 | .000 | |||
a. Dependent variable: Job stress.
B, unstandardized beta; std. Error, standard error; β, standardized beta; R2, R square; ΔR2, R square change; p, significance level; WE, work experience; WH, work hour; WL, workload; CWS, coworker support.