Skip to main content
. 2017 Dec 20;14(12):1606. doi: 10.3390/ijerph14121606

Table 5.

Results from multilevel analysis predicting recovery experiences during the weekend in the full sample (n = 575).

Parameter Detachment Relaxation Autonomy Mastery
Estimate SE t Estimate SE t Estimate SE t Estimate SE t
Intercept 3.72 0.09 42.72 3.22 0.08 39.72 3.67 0.09 40.45 2.84 0.08 33.89
Unfinished tasks (UT) −0.07 0.05 −1.24 0.05 0.06 0.84 −0.03 0.05 −0.64 −0.05 0.05 −1.04
SW—Preparing next week (SW prep) a −0.81 0.14 −5.88 *** −0.28 0.15 −1.83 −0.16 0.13 −1.21 0.08 0.15 0.53
SW—Finishing tasks (SW finish) a −0.82 0.24 −3.48 *** −0.36 0.26 −1.40 −0.07 0.22 −0.33 −0.24 0.25 −0.97
SW—Other reasons (SW other) a −0.95 0.15 −6.37 *** −0.24 0.17 −1.42 −0.03 0.14 −0.22 0.39 0.16 2.44 *
Regular work a −1.45 0.12 −11.65 *** −0.72 0.14 −5.23 *** −0.43 0.12 −3.61 *** −0.15 0.13 −1.15
Variance components
Level 2 intercept variance 0.66 0.56 0.71 0.60
Unfinished tasks slope variance 0.20 0.20 0.15 0.01
Level 1 intercept variance 0.78 0.89 0.73 0.86
Deviance (df) 1498.78 (10) 1571.47 (10) 1440.31 (10) 1615.25 (10)
AIC 1518.78 1591.47 1460.31 1635.25
BIC 1562.32 1635.02 1503.86 1678.80

SE = standard error. df = degrees of freedom. † p < 0.10. * p < 0.05. *** p < 0.001. Deviance = (−2 Residual Log Likelihood). Analyses refer to the full sample (n = 575). a dummy-coded variables: 0 = no. 1 = yes.