TABLE 3.
Mediating effect of stress between WPO and CSS using process macro.
Model 1 (path c) |
Model 2 (path a) |
Model 3 (path b and c′) |
|||||||
CSS |
Stress |
CSS |
|||||||
Predictor | β | t | CI | β | t | CI | β | t | CI |
Age | 0.03 | 0.62 | −0.07, 0.1 | –0.08 | –1.2 | −0.2, 0.05 | 0.06 | 1.3 | −0.03, 0.1 |
WE | 0.007 | 0.16 | −0.08, 0.1 | 0.16** | 2.6 | 0.04, 0.28 | –0.05 | –1.1 | −0.1, 0.03 |
WPO | 0.58* | 10.9 | 0.17, 0.67 | 0.27* | 7.58 | 0.13, 0.40 | 0.47* | 9.85 | 0.38, 0.57 |
Stress | 0.36* | 7.62 | 0.26, 0.45 | ||||||
R2 | 0.36* | 0.10* | 0.49* | ||||||
F | 39.99 | 7.52 | 52.54 |
Each column is a regression model that predicts the criterion at the top of the column. *p < 0.001; **p < 0.01; bootstrapping at 5000; WE: work experience.