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

Table 5 Regression coefficients for the BCSQ-36 and BCSQ-12 models with regard to the ‘efficacy’ dimension of the MBI-GS

Model/variable	R_y.123	R² _y.123	adj-R² _y.123	F (df₁/df₂) p^a	Se	DW	p^b
BCSQ-36	0.62	0.38	0.37	26.73 (9/387) <0.001	0.81	1.98	0.151
	R_y3.12	R_y(3.12)	T	B (95% CI)	Se	Beta	p^c
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	R_y.123	R² _y.123	adj-R² _y.123	F (df₁/df₂) p^a	Se	DW	p^b
BCSQ-12	0.56	0.31	0.30	58.88 (3/393) <0.001	0.85	1.99	0.062
	R_y3.12	R_y(3.12)	T	B (95% CI)	Se	Beta	p^c
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

R_y.123=multiple correlation coefficient. R² _y.123=coefficient of multiple determination. adj-R² _y.123=adjusted coefficient of multiple determination. p^a=p value for variance analysis associated with the regression. Se=standard error. DW=Dubin-Watson value. p^b=p value for K-S test for normality contrast on residuals. R_y3.12=partial correlation coefficient. R_y(3.12)=semi-partial correlation coefficient. T=tolerance value. B=regression slope. CI=confidence interval. Beta=standardized slope. p^c=p value of Wald test result. The sign < refers to absolute values.

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