Table 6 Model comparisons for measurement invariance testing across sex, age, and clinical status.

Model	χ²(df)	Δχ²(Δdf)	CFI	TLI	SRMR	RMSEA	ΔCFI	ΔTLI	ΔRMSEA
Invariance across sex groups
Model 1	317.514 (68)		0.933	0.911	0.051	0.085
Model 2	328.447(76)	10.933(8), p = 0.205	0.932	0.919	0.054	0.081	0.001	0.008	0.004
Model 3	338.969(84)	10.521(8), p = .1617	0.931	0.926	0.038	0.055	0.001	0.007	0.026
Invariance across age groups
Model 1	148.424 (56)		0.948	0.916	0.076	0.090
Model 2	150.739(64)	2.314(8), p = 0.9698	0.951	0.931	0.079	0.081	0.003	0.015	0.009
Model 3	161.902(72)	10.521(8), p = .1926	0.949	0.936	0.084	0.078	0.002	0.005	0.003
Invariance across clinical status groups
Model 1	184.282(56)		0.971	.953	.048	.067
Model 2	196.297(64)	12.015(8), p = 0.15	0.970	.958	.053	.064	0.001	0.003	0.003
Model 3	260.461(72)	64.163(8), p < .001	0.957	.947	.061	.071	0.013	0.011	0.007
Invariance across four groups (adult nonclinical, adult clinical, older adults nonclinical, and older adult clinical samples)
Model 1	247.066(112)		0.970	.952	.054	.069
Model 2	274.431(136)	27.365(24), p = 0.2877	0.969	.959	.062	.063	0.001	0.007	0.006
Model 3	397.984(160)	123.553(24), p < .001	0.947	.941	.073	.076	0.022	0.018	0.013

Model 1, configural invariance; Model 2, metric invariance; Model 3, scalar invariance; Model 4, residual invariance. χ2, chi-squared test; df, degrees of freedom; CFI, comparative fit index; TLI, Tucker-Lewis index; SRMR, standardized root mean square residual; RMSEA, root mean square error of approximation.

Quick links

Search