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Table 3 Regression coefficients for the BCSQ-36 and BCSQ-12 models with regard to the 'exhaustion' dimension of the MBI-GS

From: Understanding burnout according to individual differences: ongoing explanatory power evaluation of two models for measuring burnout types

Model/variable Ry.123 R2 y.123 adj-R2 y.123 F (df1/df2) pa Se DW pb
BCSQ-36 0.74 0.54 0.53 51.01 (9/387) <0.001 0.98 1.82 0.604
  Ry3.12 Ry(3.12) T B (95% CI) Se Beta pc
Intercept     −1.83 (−2.91 – -0.76) 0.55   0.001
Involvement <0.01 <0.01 0.51 <0.01 (−0.16 – 0.16) 0.08 <0.01 0.971
Ambition −0.04 −0.03 0.80 −0.03 (−0.12 – 0.06) 0.05 −0.03 0.475
Overload 0.44 0.34 0.70 0.44 (0.35 – 0.53) 0.05 0.40 <0.001
Indifference 0.18 0.12 0.34 0.25 (0.11 – 0.39) 0.07 0.21 <0.001
L. Development 0.04 0.03 0.39 0.04 (−0.07 – 0.15) 0.06 0.04 0.459
Boredom −0.06 −0.04 0.41 −0.06 (−0.17 – 0.05) 0.06 −0.06 0.249
Neglect 0.05 0.03 0.40 0.09 (−0.08 – 0.26) 0.09 0.06 0.317
L. Acknowledgement 0.12 0.08 0.49 0.12 (0.02 – 0.21) 0.05 0.12 0.020
L. Control 0.29 0.20 0.57 0.33 (0.22 – 0.44) 0.06 0.27 <0.001
model/variable Ry.123 R2 y.123 adj-R2 y.123 F (df1/df2) pa Se DW pb
BCSQ-12 0,67 0.45 0.44 105.96 (3/393) <0.001 1.06 1.87 0.177
  Ry3.12 Ry(3.12) T B (95% CI) Se Beta pc
Intercept     −1.34 (−1.78 – -0.89) 0.23   <0.001
Overload 0.56 0.51 0.97 0.57 (0.48 – 0.65) 0.04 0.51 <0.001
L. Development 0.29 0.23 0.91 0.25 (0.17 – 0.33) 0.04 0.24 <0.001
Neglect 0.25 0.20 0.92 0.32 (0.20 – 0.44) 0.06 0.20 <0.001
  1. Ry.123=multiple correlation coefficient. R2 y.123=coefficient of multiple determination. adj-R2 y.123=adjusted coefficient of multiple determination. pa=p value for variance analysis associated with the regression. Se=standard error. DW=Dubin-Watson value. pb=p value for K-S test for normality contrast on residuals. Ry3.12=partial correlation coefficient. Ry(3.12)=semi-partial correlation coefficient. T=tolerance value. B=regression slope. CI=confidence interval. Beta=standardized slope. pc=p value of Wald test result. The sign < refers to absolute values.