Table 1.

Fit statistics for the latent profile analysis and the corresponding profile probability

Model	k	G2/LL	AIC	BIC	aBIC	Entropy	pLMR	pBLRT	Profile Probability (%)
1-profile	32	−126,823.65	253,711.29	253,912.69	253,811.00	–	–	–	–
2-profile	49	−116,475.04	233,048.08	233,356.47	233,200.77	0.912	<0.001	<0.001	41.07/58.93
3-profile	66	−112,781.78	225,695.57	226,110.94	225,901.22	0.909	<0.001	<0.001	23.11/50.15/26.74
4-profile	83	−111,398.87	222,963.75	223,486.11	223,222.37	0.885	<0.001	<0.001	14.68/28.61/41.42/15.28
5-profile	100	−110,392.76	220,985.53	221,614.88	221,297.13	0.886	<0.001	<0.001	13.78/13.33/17.88/40.37/14.63

Note: k = number of free parameters; AIC = the Akaike information criterion; BIC = the Bayesian information criterion; aBIC = the sample-size adjusted BIC; BLRT = the bootstrap likelihood ratio test; LMR = the Lo-Mendell-Rubin test.