The psychometric properties and measurement invariance of the Burnout Assessment Tool (BAT-23) in South Africa

BMC Public Health

Table 1 Results of the different model specifications

Model	χ²	df	CFI	TLI	RMSEA [90%CI]	SRMR	AIC	SSA-BIC
One-factor	2695.36	230	0.746	0.720	0.101 [0.098, 0.105]	0.080	60,860.656	60,983.306
Four-factor	1011.60	224	0.919	0.908	0.058 [0.054, 0.062]	0.056	58,401.589	58,534.904
Second-order factor	1030.47	226	0.917	0.907	0.058 [0.055, 0.062]	0.058	58,423.953	58,553.714
Bifactor CFA	651.72	207	0.954	0.944	0.045 [0.041, 0.049]	0.041	57,923.074	58,086.608
ESEM	498.16	167	0.966	0.948	0.044 [0.039, 0.048]	0.022	57,796.654	58,031.290
Bifactor ESEM	375.55	148	0.977	0.960	0.038 [0.034, 0.043]	0.016	57,638.998	57,907.407

χ2 Chi-square, df Degrees of freedom, CFI Comparative fit index, TLI Tucker-Lewis index, RMSEA Root mean square error of approximation, SRMR Standardised root mean square residual, AIC Akaike information criterion, SSA-BIC Sample-size adjusted Bayesian information criterion

ISSN: 1471-2458