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. 2018 Mar 8;13(3):e0193966. doi: 10.1371/journal.pone.0193966

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