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Table 1 Fit indices for one- to three-class models

From: Differentiating people who use cannabis heavily through latent class analysis

Number of classes

AIC

cAIC

BIC

aBIC

AWE

Entropy

LMR statistic

(p-value)

Proportion in smallest class

1

4968.70

4996.30

4996.28

4974.07

5057.86

--

--

--

2

4836.35

4883.66

4883.63

4883.63

4990.91

0.88

117.92 (p < 0.001)

13.41%

3

4504.68

4571.71

4571.66

4517.73

4723.65

0.93

283.05 (p < 0.001)

10.71%

  1. AIC: Akaike Information Criterion; cAIC: consistent AIC; BIC: Bayesian Information Criterion: aBIC: sample size adjusted BIC; AWE: Approximate Weight of Evidence criterion. LMR: Lo–Mendell–Rubin test