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Table 4 Explanatory power of the AWS on the engagement dimensions

From: Areas of work-life in Spanish hostelry professionals: explanatory power on burnout dimensions

Models/variablesRy.123adj-R2y.123F (df1 / df2)paSe
Exhaustion0.490.2321.80 (6 / 418)< 0.0016.51
Cynicism0.310.087.1 (6 / 418)< 0.0016.84
Efficacy0.440.1816.9 (6 / 418)< 0.0015.10
 rRy3.12B (95% CI)Betapb
Exhaustion
 Workloadc−0.46−0.40−0.65 (−0.80 – −0.51)−0.41< 0.001
 Control−0.21− 0.06−0.17 (− 0.43–0.10)−0.060.217
 Reward−0.24− 0.01−0.02 (− 0.25–0.21)−0.010.887
 Community−0.21− 0.04−0.08 (− 0.27–0.11)−0.040.410
 Fairness−0.25− 0.07−0.13 (− 0.30–0.05)−0.080.159
 Values−0.24− 0.02−0.05 (− 0.28–0.17)−0.030.635
Cynicism
 Workloadc−0.22− 0.13−0.21 (− 0.36 – − 0.06)−0.140.007
 Control−0.15− 0.03−0.08 (− 0.36–0.20)− 0.030.571
 Reward−0.25− 0.10−0.25 (− 0.49 – − 0.01)−0.120.041
 Community−0.22− 0.08−0.17 (− 0.37–0.04)−0.090.106
 Fairness−0.19− 0.03−0.07 (− 0.25–0.12)−0.040.482
 Values−0.18− 0.01−0.01 (− 0.24–0.23)−0.010.947
Efficacy
 Workloadc−0.07−0.19− 0.23 (− 0.34 – − 0.12)− 0.19< 0.001
 Control0.250.130.28 (0.08 – 0.49)0.140.008
 Reward0.13−0.09− 0.16 (− 0.34 – 0.02)− 0.050.076
 Community0.290.220.35 (0.20 – 0.50)0.25< 0.001
 Fairness0.220.010.01 (− 0.13 – 0.14)0.010.953
 Values0.290.190.35 (0.17 – 0.52)0.24< 0.001
  1. Ry.123 multiple correlation coefficient, Adj-R2y.123 adjusted coefficient of multiple determination, pa p value for variance analysis associated with the regression, Se standard error, r raw correlation coefficient, Ry3.12 partial correlation coefficient, B regression slope, 95% CI 95% confidence interval, Beta standardised slope, pb p value of Wald test result
  2. cManageable workload