Table 3.

Fit Statistics for Confirmatory Factor Models (Overall ESI Development Sample; N = 1,787)

Models	K	ln(L)	AIC	BIC	CFI	TLI	RMSEA	SRMR
ESI Models
One General Factor	69	−41099	82337	82715	.71	.68	.150	.079
Higher-Order Two-Subfactor	70	−40015	80170	80554	.77	.75	.135	.072
Hierarchical Two-Subfactor	92	−38434	77052	77557	.85	.82	.114	.052
with modification	94	−37668	75524	76040	.90	.87	.096	.042
ESI-bf Models
One General Factor	69	−39637	79413	79791	.75	.72	.125	.079
Higher-Order Two-Subfactor	70	−38759	77657	78041	.81	.78	.110	.071
Hierarchical Two-Subfactor	92	−37607	75398	75903	.88	.85	.091	.052
with modification	94	−37149	74486	75002	.91	.89	.078	.045
Factor Scale Item Models
One General Factor	63	−27387	54899	55245	.76	.74	.104	.081
Higher-Order Two-Subfactor	64	−27139	54406	54758	.79	.76	.098	.079
Hierarchical Two-Subfactor	84	−26030	52227	52688	.92	.90	.064	.042

Note. k = number of free parameters; ln(L) = natural log likelihood; AIC = Akaike’s information criterion; BIC = Bayesian information criterion; CFI = comparative fit index; TLI = Tucker-Lewis index; RMSEA = root mean square error of approximation; SRMR = standardized root mean square residual. Lower criterion values indicate better fit; best-fitting model for each ESI version is highlighted in bold.