Table 6 Information Criteria and Class Proportions for Determining the Number of Latent Profiles

Fit indices		Number of Profiles
Fit indices		3	4	5	6	7
Fit Indices	AIC	64170.415	61794.836	56592.065	53071.319	54356.405
	BIC	64446.708	62143.206	57012.510	53563.841	54921.004
	SABIC	64300.548	61958.917	56790.093	53303.295	54622.330
X² Significance	LMRT	.000	.037	.308	.379	.343
X² Significance	BLRT	.000	.000	.000	.000	NA
Entropy		.982	.995	1.000	.983	.974
Class Proportions	1	.2028	.6980	.0658	.6450	.0791
	2	.7690	.1130	.0790	.0843	.1904
	3	.0282	.7580	.0297	.0507	.0658
	4		.1132	.1196	.0817	.1197
	5			.7059	.1123	.0297
	6				.0260	.0499
						.4656

Note. AIC = Akaike Information Criterion; BIC = Bayesian Information Criterion; SABIC = Sample-Size Adjusted BIC; LMRT = Lo-Mendell-Rubin adjusted LRT; BLRT = Bootstrap Likelihood Ratio Test).