Table 4. Linear stepwise regression models–predicting disengagement (n = 57).
Model 1 | Model 2 | Model 3 | Model 4 | Model 5 | |
---|---|---|---|---|---|
Variables | ß (S.E.) | ß (S.E.) | ß (S.E.) | ß (S.E.) | ß (S.E.) |
Constant | 3.16*** (.22) | 3.11*** (.22) | 3.08*** (.25) | 3.12*** (.20) | 3.08*** (.22) |
Step 1: Control Variables | |||||
Age | .26** (.11) | .26** (.12) | .23* (.13) | .23** (.11) | .20 (.13) |
Gender | -.21 (.22) | -.24 (.40) | -.03 (.28) | -.19 (.23) | -.15 (.32) |
Executive Hierarchical Level | -.84 (.61) | -.79* (.46) | -.83 (.59) | -.07 (.47) | .14 (.66) |
Staff Member Hierarchical Level | -.32 (.29) | -.31 (.30) | -.23 (.41) | -.34 (.27) | -.29(.36) |
Step 2: Volume Variables | |||||
E-mails Sent | -.24 (.16) | .11(.26) | |||
Step 3: Position Variables | |||||
Degree | -.20 (.17) | -.16 (.18) | |||
Constraint | -.13 (.18) | -.09 (.16) | |||
Step 4: Behavior Variables | |||||
E-mails Sent During Out-of-office Hours | -.43*** (.13) | -.47** (.24) | |||
R2 | .15 | .20 | .18 | .29 | .31 |
Adjusted R2 | .08 | .12 | .08 | .22 | .19 |
ΔR2 | .05 | .03 | .14 | .16 | |
F | 2.28* | 2.55** | 1.82 | 4.16*** | 2.63** |
The table presents linear regressions models predicting the variance of disengagement. Model 1 is the base model with controls. Models 2–4 include controls and each predictor in a stepwise procedure. Model 5 is the final model including all variables.
Standard errors are robust. Two-tailed tests for all variables.
*p < .1
**p < .05
***p < .01