Table 5 Predictors of work engagement...

Table 5

Predictors of work engagement across profiles

	Step 1			Step 2			Step 3
Profile	1	2	3	1	2	3	1	2	3
Control variables	B			B			B
Gender	−0.10	−0.08	0.02	−0.10	−0.08	0.02	−0.10	−0.08	0.02
Children	−0.04	0.05	0.07	−0.04	0.05	0.07	−0.04	0.05	0.07
RW				−0.01	−0.01	−0.11*	0.05	−0.03	−0.14
RW²							−0.01	0.01	0.01
R²	0.02	0.02	0.01	0.02	0.02	0.02	0.02	0.02	0.03
Adjusted R²	−0.01	0.01	0.01	−0.02	0.01	0.02	−0.03	0.01	0.02
Δ Adjusted R²				−0.01	–	0.01	−0.01	-	–

	Step 1			Step 2			Step 3
Profile	1	2	3	1	2	3	1	2	3
Control variables	B			B			B
Gender	−0.10	−0.08	0.02	−0.10	−0.08	0.02	−0.10	−0.08	0.02
Children	−0.04	0.05	0.07	−0.04	0.05	0.07	−0.04	0.05	0.07
RW				−0.01	−0.01	−0.11*	0.05	−0.03	−0.14
RW²							−0.01	0.01	0.01
R²	0.02	0.02	0.01	0.02	0.02	0.02	0.02	0.02	0.03
Adjusted R²	−0.01	0.01	0.01	−0.02	0.01	0.02	−0.03	0.01	0.02
Δ Adjusted R²				−0.01	–	0.01	−0.01	-	–

Note(s): Profile 1 “Challenged optimizers”, n = 79; Profile 2 “Dissatisfied reactive”, n = 256; Profile 3 “Satisfied proactive”, n = 392. For all variables we used the z-standardized scores. Unstandardized regression coefficients are reported. Gender: 1 = Female; 2 = Male. Children = Number of kids, with 0 indicating no kids and RW = number of remote-work days in the previous month

^***p ≤ 0.001; ^**p < 0.01; ^*p < 0.05

Source(s): Authors’ own creation

[ViewLarge]

Sharing Unavailable