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Table 5 Regression coefficients for the BCSQ-36 and BCSQ-12 models with regard to theefficacydimension 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 0.62 0.38 0.37 26.73 (9/387) <0.001 0.81 1.98 0.151
  Ry3.12 Ry(3.12) T B (95% CI) Se Beta pc
Intercept     4.99 (4.11 – 5.88) 0.45   <0.001
Involvement 0.11 0.09 0.51 0.14 (0.01 – 0.28) 0.07 0.12 0.035
Ambition 0.18 0.14 0.80 0.14 (0.06 – 0.21) 0.04 0.16 <0.001
Overload −0.06 −0.05 0.70 −0.05 (−0.12 – 0.03) 0.04 −0.06 0.232
Indifference −0.15 −0.12 0.34 −0.17 (−0.29 – -0.06) 0.06 −0.20 0.003
L. Development 0.05 0.04 0.39 0.05 (−0.05 – 0.14) 0.05 0.06 0.346
Boredom 0.02 0.02 0.41 0.02 (−0.07 – 0.11) 0.05 0.03 0.690
Neglect −0.23 −0.18 0.40 −0.33 (−0.47 – -0.19) 0.07 −0.29 <0.001
L. Acknowledgement <−0.01 <−0.01 0.49 <−0.01 (−0.08 – 0.08) 0.04 <−0.01 0.974
L. Control −0.14 −0.11 0.57 −0.13 (−0.22 – -0.04) 0.05 −0.15 0.006
model/variable Ry.123 R2 y.123 adj-R2 y.123 F (df1/df2) pa Se DW pb
BCSQ-12 0.56 0.31 0.30 58.88 (3/393) <0.001 0.85 1.99 0.062
  Ry3.12 Ry(3.12) T B (95% CI) Se Beta pc
Intercept     6.21 (5.86 – 6.56) 0.18   <0.001
Overload −0.04 −0.03 0.97 −0.02 (−0.09 – 0.42) 0.03 −0.03 0.480
L. Development −0.07 −0.06 0.91 −0.05 (−0.11 – 0.02) 0.03 −0.06 0.145
Neglect −0.52 −0.51 0.92 −0.60 (−0.69 – -0.50) 0.05 −0.53 <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.