Table 3.

Model fit statistics of latent profile analysis on adolescent’s symptomatology.

Model	AICa	BICb	SABICc	Entropy	Smaller class (%)	VLMRd	LMRe
1-profile	20,863.34	20,927.83	20,889.71	—f	—	—	—
2-profiles	16,956.69	17,074.91	17,005.02	.91	31	<.001	<.001
3-profiles	15,902.69	16,074.66	15,973.00	.86	17	<.001	<.001
4-profilesg	15,581.35	15,807.05	15,673.63	.81	12	<.001	<.001
5-profiles	15,465.09	15,744.53	15,579.34	.79	5	<.05	<.05
6-profiles	15,342.05	15,657.24	15,460.28	.81	4	.14	.15
7-profiles	15,259.88	15,646.81	15,418.08	.81	2	.85	.85

^aAIC: Akaike information criterion.

^bBIC: Bayesian information criterion.

^cSABIC: Sample-size adjusted Bayesian information.

^dVLMR: Vuong-Lo-Mendell-Rubin adjusted likelihood ratio test.

^eLMR: Lo-Mendell-Rubin adjusted likelihood ratio test.

^fNot applicable.

^gLatent profile analysis (LPA) model.