Table 7.

Model fit indices of the measurement invariance analyses regarding sex and age groups.

#	LL	BIC	AIC	Npar	VLMR	p	CE	R 2	AWE	ICL-BIC
MI models regarding sex groups (N = 1,628)
A	−13766.30	27843.19	27616.60	42	–	–	0.12	0.74	29282.63	28846.04
B	−13798.42	27840.87	27662.83	33	64.24	<0.001	0.12	0.74	29151.41	28808.37
C	−13820.01	27861.87	27700.02	30	43.18	<0.001	0.11	0.75	29110.32	28798.46
D	−13883.63	27966.93	27821.26	27	127.25	<0.001	0.11	0.75	29178.93	28898.26
MI models regarding age groups (N = 1,628)
A	−14044.53	28621.51	28233.07	72	–	–	0.18	0.65	30784.14	30035.69
B	−13841.12	28015.01	27772.23	45	406.83	<0.001	0.11	0.76	29394.25	28926.47
C	−14074.63	28415.48	28221.26	36	467.02	<0.001	0.18	0.65	30171.59	29797.36
D	−13883.63	27966.93	27821.26	27	381.99	<0.001	0.11	0.76	29178.93	28898.26

#, model denomination; LL, LogLikelihood; BIC, Bayes Information Criterion; AIC, Akaike Information Criterion; Npar, number of parameters; VLMR, Vuong-Lo–Mendell–Rubin Likelihood Ratio test value; p, type I error probability of VLMR; CE, classification error; R², Entropy; AWE, approximate weight of evidence; ICL-BIC, integrated completed likelihood; we created four age categories (age groups range from 16 to 30; from 31 to 40; from 41 to 50; from 51 to 99). The fit indices of the final MI model are bold.