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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/variables

Ry.123

adj-R2y.123

F (df1 / df2)

pa

Se

Exhaustion

0.49

0.23

21.80 (6 / 418)

< 0.001

6.51

Cynicism

0.31

0.08

7.1 (6 / 418)

< 0.001

6.84

Efficacy

0.44

0.18

16.9 (6 / 418)

< 0.001

5.10

 

r

Ry3.12

B (95% CI)

Beta

pb

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)

−0.06

0.217

 Reward

−0.24

− 0.01

−0.02 (− 0.25–0.21)

−0.01

0.887

 Community

−0.21

− 0.04

−0.08 (− 0.27–0.11)

−0.04

0.410

 Fairness

−0.25

− 0.07

−0.13 (− 0.30–0.05)

−0.08

0.159

 Values

−0.24

− 0.02

−0.05 (− 0.28–0.17)

−0.03

0.635

Cynicism

 Workloadc

−0.22

− 0.13

−0.21 (− 0.36 – − 0.06)

−0.14

0.007

 Control

−0.15

− 0.03

−0.08 (− 0.36–0.20)

− 0.03

0.571

 Reward

−0.25

− 0.10

−0.25 (− 0.49 – − 0.01)

−0.12

0.041

 Community

−0.22

− 0.08

−0.17 (− 0.37–0.04)

−0.09

0.106

 Fairness

−0.19

− 0.03

−0.07 (− 0.25–0.12)

−0.04

0.482

 Values

−0.18

− 0.01

−0.01 (− 0.24–0.23)

−0.01

0.947

Efficacy

 Workloadc

−0.07

−0.19

− 0.23 (− 0.34 – − 0.12)

− 0.19

< 0.001

 Control

0.25

0.13

0.28 (0.08 – 0.49)

0.14

0.008

 Reward

0.13

−0.09

− 0.16 (− 0.34 – 0.02)

− 0.05

0.076

 Community

0.29

0.22

0.35 (0.20 – 0.50)

0.25

< 0.001

 Fairness

0.22

0.01

0.01 (− 0.13 – 0.14)

0.01

0.953

 Values

0.29

0.19

0.35 (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