Table 3. Linear stepwise regression models–predicting exhaustion (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 | 3.40*** (.22) | 3.40*** (.22) | 3.25*** (.24) | 3.6*** (.19) | 3.54*** (.21) |
| Step 1: Control Variables | |||||
| Age | .32** (.13) | .32** (.14) | .30** (.14) | .30** (.13) | .21 (.13) |
| Gender | -.14 (.38) | -.24 (.40) | .01 (.40) | -.44 (.30) | -.30 (.31) |
| Executive Hierarchical Level | -.97 (.96) | -1.13* (.11) | -.94* (.97) | -.01 (.86) | -.31 (.93) |
| Staff Member hierarchical level | -.24 (.31) | -.19 (.32) | -.01 (.39) | -.70** (.29) | -.56 (.40) |
| Step 2: Volume Variables | |||||
| E-mails Received | .11 (.20) | .30 (.21) | |||
| Step 3: Position Variables | |||||
| Degree | -.22* (.15) | -.38*** (.16) | |||
| Constraint | -.26* (.15) | -.08 (.14) | |||
| Step 4: Behavior Variables | |||||
| E-mails Sent During Out-of-office Hours | -.45*** (.12) | -.51*** (.14) | |||
| Higher Hierarchical Level Reciprocity | .51*** (.14) | .50** (.18) | |||
| R2 | .15 | .16 | .21 | .39 | .47 |
| Adjusted R2 | .09 | .08 | .11 | .32 | .37 |
| ΔR2 | .01 | .06 | .24 | .32 | |
| F | 2.37* | 1.98* | 2.16* | 5.42*** | 4.69*** |
The table presents linear regressions models predicting the variance of exhaustion. 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