TABLE 4.
Moderating effect of POS using process macro.
Model 1 |
Model 2 |
Model 3 |
|||||||
CSS |
Stress (St) |
CSS |
|||||||
Predictor | β | t | CI | β | t | CI | β | t | CI |
Age | 0.04 | 0.82 | −0.05, 0.1 | –0.05 | –0.94 | −0.1, 0.06 | 0.05 | 1.1 | −0.03, 0.1 |
WE | −0.1** | –2.0 | −0.1, −0.002 | 0.15 | 3.03 | 0.05, 0.25 | –0.06 | –1.5 | −0.1, 0.01 |
WPO | 0.39* | 6.18 | 0.21, 0.49 | 0.47* | 8.9 | 0.37, 0.58 | |||
Stress | 1.51* | 4.27 | 0.91, 2.3 | 0.88* | 3.61 | 0.39, 1.2 | |||
POS | 0.39** | 1.48 | 0.81, 0.95 | 0.21** | 4.5 | 0.09, 0.28 | |||
POS*St | −0.29* | –3.11 | −0.49, −0.13 | −0.18* | –2.3 | −0.3, −0.04 | |||
R2 | 0.41* | 0.17* | 0.50* | ||||||
F | 32.29 | 15.7 | 38.18 |
Each column is a regression model that predicts the criterion at the top of the column. **p < 0.005; *p < 0.001; bootstrapping at 5000; WE: work experience.