Table 4.
Summary of hierarchical regression analysis for variables predicting job satisfaction (n = 3028).
| Model 1 | Model 2 | Model 3 | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Variable | B | SE B | β | sr 2 | B | SE B | β | sr 2 | B | SE B | β | sr 2 |
| Gender | 0.06 | 0.05 | 0.02 | 0.00 | 0.01 | 0.04 | 0.00 | 0.00 | 0.01 | 0.04 | 0.00 | 0.00 |
| Age | 0.10 | 0.01 | 0.15 ** | 0.02 | 0.04 | 0.01 | 0.06 ** | 0.00 | 0.03 | 0.01 | 0.05 ** | 0.00 |
| Role Overload | −0.15 | 0.02 | −0.13 ** | 0.01 | −0.14 | 0.02 | −0.12 ** | 0.01 | ||||
| Job Control | 0.59 | 0.02 | 0.47 ** | 0.21 | 0.56 | 0.02 | 0.45 ** | 0.16 | ||||
| Bullying | −0.02 | 0.01 | −0.06 ** | 0.00 | ||||||||
| R 2 | 0.02 | 0.26 | 0.27 | |||||||||
| ∆R2 | 0.24 | 0.01 | ||||||||||
| F for change in R2 | 36.93 ** | 491.58 ** | 13.58 ** | |||||||||
* p < 0.05. ** p < 0.01.