Table 2.

Model Fit Estimates from the CAGI-NA Exploratory Factor Analysis.

Model	χ2 (df)	CFI	TLI	RMSEA [90% CI]	SRMR	Δχ2 (df)	ΔCFI	Cumulative % of variance
1 factor	2037.530 (464)	0.666	0.643	.120 [0.102–0.112]	0.126			27.33%
2 factors	1063.620 (433)	0.886	0.847	0.070 [0.064–0.075]	0.052	973.910 (31)*	0.220	43.43%
3 factors	822.350 (403)	0.911	0.919	0.054 [0.053–0.065]	0.040	241.270 (30)*	0.025	48.55%
4 factors	639.370 (374)	0.921	0.924	0.043 [0.042–0.055]	0.032	182.980 (29)*	0.020	51.80%
5 factors	527.705 (346)	0.945	0.945	0.042 [0.035–0.049]	0.027	111.665 (28)*	0.016	54.81%
6 factors	444.365 (319)	0.957	0.959	0.036 [0.028–0.044]	0.024	83.34 (27)*	0.012	57.33%
7 factors	382.355 (293)	0.965	0.967	0.032 [0.022–0.040]	0.022	62.010 (26)*	0.008	59.77%

Note. CAGI-NA = Complicated and Adaptive Grief Inventory for Native Americans. The 7 factors had Eigenvalues ≥ 1. The four-factor solution was selected as the best fit for the CAGI-NA. However, factor one and factor two in this model were highly correlated and represented theoretically similar constructs; therefore, they were merged into a single factor.