Table 2.

Goodness-of-fit statistics for the multi-group invariance testing.

Model	Comparison	χ2	df	Δχ2	Δdf	p for Δχ2	RMSEA	ΔRMSEA	CFI	ΔCFI	SRMR	ΔSRMR
Sample: community (n = 171 ), student (n = 375)
1. Unconstrained	–	828.67	338	–	–	–	.052 [CI .047, .056]	–	.906	–	.085	–
2. Measurement weights	1	894.58	372	65.91	34	.001	.051 [CI .047, .055]	.001	.899	.007	.097	.012
3. Structural covariances	2	921.14	380	26.56	8	.000	.051 [CI .047, .055]	.000	.896	.003	.102	.005
4. Measurement residuals	3	1,015.60	400	94.46	20	< .001	.053 [CI .049, .057]	.002	.882	.014	.104	.002
Age: 18-34 (n = 390), 35+(n = 153)
5. Unconstrained	–	838.75	340	–	–	–	.052 [CI .048, .057]	–	.904	–	.056	–
6. Measurement weights	5	892.73	373	54.02		.012	.051 [CI .046, .055]	.001	.900	.004	.061	.005
7. Structural covariances	6	915.21	381	22.48		.004	.051 [CI .047, .057]	.000	.897	.003	.062	.001
8. Measurement residuals	7	1,031.42	401	116.22		< .001	.054 [CI .050, .058]	.003	.878	.019	.063	.001
Gender: male (n = 184), female (n = 362)
9. Unconstrained	–	850.96	338	–	–	–	.053 [CI .048, .057]	–	.903	–	.078
10. Measurement weights	9	923.22	372	72.24	34	< .001	.052 [CI .048, .056]	.001	.896	.007	.089	.012
11. Structural covariances	10	931.92	380	8.70	8	.369	.052 [CI .047, .056]	.000	.896	.000	.090	.001
12. Measurement residuals	11	985.25	400	53.33	20	< .001	.052 [CI .048, .056]	.000	.889	.006	.092	.002

Note: Δ refers to change in the respective statistic.