Health literacy disparities in South Korea: insights from a latent profile analysis

BMC Public Health

Table 1 Model fit indices for the latent profile analysis of health literacy

Number of profiles	LL	df	AIC	BIC	SSABIC	Entropy	LMRT	BLRT
1	-22,057.519	2	44,127.039	44,169.999	44,150.932	1.000	-	-
2	-17,203.982	5	34,427.963	34,499.563	34,467.785	0.808	< 0.001	< 0.0099
3	-12,510.624	8	25,049.248	25,149.488	25,104.998	0.918	< 0.001	< 0.0099
4	-10,740.276	11	21,516.551	21,645.431	21,588.230	0.893	< 0.001	< 0.0099
5	-9,566.504	14	19,177.008	19,334.528	19,264.615	0.891	< 0.001	< 0.0099
6	-8,994.366	17	18,040.732	18,226.892	18,144.268	0.896	< 0.001	< 0.0099

Note: LL, log likelihood; df, degree of freedom; AIC, Akaike information criterion; BIC, Bayesian information criterion; SSABIC, sample size-adjusted BIC; LMRT, Lo–Mendell–Rubin likelihood ratio test; BLRT, bootstrap likelihood ratio test

ISSN: 1471-2458