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Table 4 Regression coefficients for the BCSQ-36 and BCSQ-12 models with regard to thecynicismdimension 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 0.77 0.60 0.59 64.43 (9/387) <0.001 1.02 2.04 0.211
  Ry3.12 Ry(3.12) T B (95% CI) Se Beta pc
Intercept     −1.21 (−2.33 – -0.08) 0.57   0.036
Involvement −0.10 −0.06 0.51 −0.16 (−0.33 – 0.01) 0.09 −0.08 0.059
Ambition −0.03 −0.02 0.80 −0.03 (−0.12 – 0.07) 0.05 −0.02 0.560
Overload 0.03 0.02 0.70 0.03 (−0.07 – 0.12) 0.05 0.02 0.549
Indifference 0.34 0.23 0.34 0.53 (0.39 – 0.68) 0.07 0.40 <0.001
L. Development 0.17 0.11 0.39 0.20 (0.08 – 0.32) 0.06 0.17 0.001
Boredom −0.03 −0.02 0.41 −0.04 (−0.15 – 0.08) 0.06 −0.03 0.501
Neglect −0.04 −0.02 0.40 −0.07 (−0.24 – 0.11) 0.09 −0.04 0.465
L. Acknowledgement 0.24 0.16 0.49 0.25 (0.15 – 0.36) 0.05 0.22 <0.001
L. Control 0.22 0.14 0.57 0.26 (0.14 – 0.37) 0.06 0.19 <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 0.44 106.12 (3/393) <0.001 1.19 2.00 0.048
  Ry3.12 Ry(3.12) T B (95% CI) Se Beta pc
Intercept     −1.83 (−2.33 – -1.34) 0.25   <0.001
Overload 0.14 0.11 0.97 0.13 (0.04 – 0.22) 0.05 0.11 0.005
L. Development 0.55 0.48 0.91 0.59 (0.50 – 0.68) 0.05 0.51 <0.001
Neglect 0.34 0.27 0.92 0.49 (0.35 – 0.63) 0.07 0.28 <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.