TABLE 2.

Model fit indices for sample one and two.

Sample	Model	χ2	df	RMSEA (90% CI)	SRMR	TLI	CFI	AIC	BIC
One (N = 894)	ESEM (one factor)	2145.654	241	0.069 (0.064–0.071)	0.063	0.821	0.847	95325.854	98627.523
	ESEM (three factor)	1846.631	215	0.058 (0.054–0.060)	0.054	0.905	0.917	95174.681	97853.143
	Bifactor-ESEM	1325.927	194	0.047 (0.044–0.051)	0.043	0.928	0.945	94784.621	97153.232
	Gender configural	1897.582	425	0.058 (0.055–0.060)	0.054	0.912	0.924	94812.628	97329.674
	Gender metric	1748.603	512	0.056 (0.053–0.059)	0.052	0.909	0.919	94531.654	97214.971
	Gender scalar	1658.935	547	0.054 (0.051–0.056)	0.051	0.902	0.913	94413.369	97028.147
	Expertise configural	1987.267	628	0.058 (0.055–0.061)	0.057	0.917	0.924	93528.289	96107.927
	Expertise metric	2517.057	738	0.059 (0.056–0.062)	0.059	0.910	0.918	93824.317	96389.829
	Expertise scalar	2923.742	791	0.060 (0.057–0.063)	0.058	0.905	0.913	94153.974	96745.282
	Type configural	1954.923	451	0.057 (0.055–0.060)	0.053	0.913	0.922	94233.748	97592.382
	Type metric	1867.328	518	0.055 (0.052–0.058)	0.052	0.909	0.916	94117.825	97381.537
	Type scalar	1726.628	554	0.052 (0.050–0.055)	0.051	0.901	0.907	93924.743	97106.581
	Injury configural	2097.965	508	0.057 (0.054–0.059)	0.055	0.917	0.928	94344.627	97157.319
	Injury metric	2031.836	574	0.056 (0.054–0.059)	0.052	0.912	0.917	94187.323	96543.253
	Injury scalar	1974.434	632	0.058 (0.055–0.060)	0.051	0.904	0.911	93821.652	96204.826
Two (N = 589)	ESEM (three factor)	1745.358	215	0.056 (0.051–0.059)	0.055	0.914	0.926	95028.921	97641.638
	Bifactor-ESEM	1307.139	194	0.046 (0.046–0.052)	0.042	0.932	0.949	94121.347	97008.391

χ² = Chi-Square, RMSEA, Root Mean Square Error of Approximation; CI, Confidence Interval; SRMR, Standardized Root Mean Residual; TLI, Tucker Lewis Index; CFI, comparative fit index; AIC, Akaike Information Criterion; BIC, Bayesian Information Criterion.