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

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

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

  1. 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
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BMC Public Health

ISSN: 1471-2458

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