Table 11.
Regression analysis summary for predicting intrinsic job satisfaction.
| Model | Unstandardized coefficients | Standardized coefficients | t | Sig. (2-tailed) | 95% CI lower | 95% CI upper | Collinearity statistics | |||
|---|---|---|---|---|---|---|---|---|---|---|
| Β (constant) | Std. error | β | Tolerance | VIF | ||||||
| 1 | (Constant) | 4.112 | 0.038 | 107.457*** | 0.000 | 4.037 | 4.187 | |||
| Job autonomy stress | −0.303 | 0.020 | −0.559 | −15.074*** | 0.000 | −0.343 | −0.264 | 1 | 1 | |
| R = 0.559 | ||||||||||
| R2 Square = 0.313 | ||||||||||
| Adjusted R2 = 0.312 | ||||||||||
| df = (1, 499) | ||||||||||
| F = 227.217*** (p = 0.000) | ||||||||||
| Durbin-Watson Test = 1.847 | ||||||||||
Dependent variable: the intrinsic job satisfaction.
N = 501; ***p < 0.001.