Table 2.

OASIS and ODSIS measurement invariance models (Sample 1, n = 1393).

Model	× 2	df	p-Value	CFI	TLI	RMSEA	RMSEA 90%CI lb	RMSEA 90%CI ub	SRMR
OASIS
Overall model	38.276	4	p < 0.001	0.999	0.997	0.078	0.057	0.102	0.027
Male model	26.276	4	p < 0.001	0.999	0.997	0.089	0.059	0.123	0.031
Female model	11.251	4	p = 0.024	0.999	0.999	0.051	0.017	0.088	0.022
Configural model	37.527	8	p < 0.001	0.999	0.998	0.073	0.05	0.097	0.027
Metric model	40.716	12	p < 0.001	0.999	0.999	0.059	0.039	0.079	0.028
Scalar model	74.638	26	p < 0.001	0.999	0.999	0.052	0.038	0.066	0.027
Strict model	74.638	26	p < 0.001	0.999	0.999	0.052	0.038	0.066	0.027
ODSIS
Overall model	36.538	4	p < 0.001	0.999	0.999	0.076	0.055	0.1	0.021
Male model	28.207	4	p < 0.001	0.999	0.998	0.093	0.062	0.127	0.026
Female model	10.107	4	p = 0.039	1	1	0.047	0.01	0.084	0.016
Configural model	38.314	8	p < 0.001	0.999	0.999	0.074	0.051	0.098	0.021
Metric model	49.469	12	p < 0.001	0.999	0.999	0.067	0.048	0.087	0.023
Scalar model	52.548	26	p = 0.002	1	1	0.038	0.023	0.053	0.022
Strict model	52.548	26	p = 0.002	1	1	0.038	0.023	0.053	0.022

Note. ×2 = Chi-Square, df = degrees of freedom, CFI = Comparative Fit Index, TLI = Tucker–Lewis Index, RMSEA = Root Mean Square Error of Approximation, CI = Confidence Interval, lb = lower bound of the 90% confidence interval, ub = upper bound of the 90% confidence interval, SRMR = Standardized Root Mean Square Residual.