TABLE 6.
Multiple regression analysis for variables predicting exhaustion and disengagement (N = 516).
Model for exhaustion
|
B | SE | Beta | t | p |
95% confidence interval of the B
|
Statistics of multicollinearity
|
|||
Variables | Lower | Upper | Tolerance | VIF | ||||||
Constant | 1.848 | 0.127 | 14.591 | <0.001 | 1.599 | 2.097 | ||||
ER | 0.243 | 0.024 | 0.501 | 10.307 | <0.001 | 0.197 | 0.290 | 0.645 | 1.551 | |
StS | –0.085 | 0.023 | –0.149 | –3.691 | <0.001 | –0.130 | –0.040 | 0.942 | 1.062 | |
OvSt | –0.031 | 0.021 | –0.073 | –1.463 | 0.144 | –0.072 | 0.011 | 0.620 | 1.612 | |
| ||||||||||
R = 0.468, R2 = 0.219, Adj. R2 = 0.214 | ||||||||||
Model for disengagement
|
B | SE | Beta | t | p |
95% confidence interval of the B
|
Statistics of multicollinearity
|
|||
Variables | Lower | Upper | Tolerance | VIF | ||||||
| ||||||||||
Constant | 2.157 | 0.139 | 15.552 | <0.001 | 1.885 | 2.430 | ||||
ER | 0.113 | 0.026 | 0.233 | 4.382 | <0.001 | 0.063 | 0.164 | 0.645 | 1.551 | |
StS | –0.073 | 0.025 | –0.127 | –2.901 | 0.004 | –0.123 | –0.024 | 0.942 | 1.062 | |
OvSt | 0.013 | 0.023 | 0.029 | 0.545 | 0.586 | –0.033 | 0.058 | 0.620 | 1.612 | |
| ||||||||||
R = 0.263, R2 = 0.69, Adj. R2 = 0.064 |
VIF, variance inflation factor.