Table 1.

Fit indices of the CFA, LPA, and LTA models for suicidal ideation in 2018 and 2019

Model	#	loglikelihood	AIC	BIC	Entropy
2018: (N = 1269)
1-factor CFA	15	− 12,724.3	25,479	25,556	–
1-class LPA	10	− 14,577.8	29,176	29,227	–
2-class LPA	16	− 12,857.9	25,748	25,830	0.958
3-class LPA	22	− 12,343.9	24,732	24,845	0.935
4-class LPA	28	− 12,036.6	24,129	24,273	0.961
2019: (N = 822)
1-factor CFA	15	− 7676.8	15,384	15,454	–
1-class LPA	10	− 8735.0	17,490	17,537	–
2-class LPA	16	− 7689.4	15,411	15,486	0.968
3-class LPA	22	− 7314.9	14,674	14,778	0.968
4-class LPA	28	− 6989.1	14,034	14,166	0.974
2018–2019: (N = 1269)
1-factor CFA without MI	36	− 20,200.0	40,472	40,657	–
1-factor CFA with MI	28	− 20,244.4	40,544	40,689	–
3–3 class LTA without MI	48	− 19,592.7	39,282	39,529	0.843
3–3 class LTA with MI	33	− 19,649.6	39,365	39,535	0.850

CFA confirmatory factor analysis, LPA latent profile analysis, LTA latent transition analysis, # number of free parameters, AIC Akaike information criterion, BIC Bayesian information criterion, MI measurement invariance