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. 2023 Jan 10;10:1017410. doi: 10.3389/fpubh.2022.1017410

Table 1.

Model fit indices derived from latent class analysis on models with 1–5 classes.

Model k AIC BIC aBIC Entropy LMR BLRT Class probability
1 10 7,978.61 8,027.41 7,995.65
2 21 5,513.19 5,615.68 5,548.99 0.95 < 0.001 < 0.001 208/765 (0.21/0.79)
3 32 5,205.72 5,361.90 5,260.26 0.92 < 0.001 < 0.001 67/200/706 (0.07/0.20/0.73)
4 43 5,186.05 5,395.91 5,259.34 0.89 0.23 < 0.001 164/700/44/65 (0.17/0.72/0.05/0.07)
5 54 5,173.52 5,437.06 5,265.56 0.90 0.51 < 0.001 30/152/48/703/40 (0.03/0.16/0.05/0.72/0.04)

AIC, Akaike information criterion; BIC, Bayesian information criterion; aBIC. sample size adjusted BIC; LMR, Vuong-Lo-Mendell-Rubin likelihood ratio test; BLRT, bootstrapped likelihood ratio test. The three latent classes were regarded as the best model, highlighted in bold.