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. 2023 Aug 1;2:16. doi: 10.1186/s44167-023-00025-5

Table 2.

Best fit and diagnostic criteria for latent class models of one to six class solutions

Class LL AIC BIC Adjusted BIC Entropy LMR (p-value) BLRT (p-value) Smallest class count (n) Smallest class size (%)
One-class -2401.0 4832.1 4890.2 4842.6  N/A N/A N/A 355 100
Two-class -2325.7 4713.5 4833.5 4735.2 0.61 148.9 (< 0.01) -2401.0 (< 0.01) 167/188 47.0/53.0
Three-class -2307.6 4709.2 4891.2 4742.1 0.69 35.9 (0.91) -2325.7 (0.09) 56/199/100 15.8/56.1/28.2
Four-class -2294.1 4714.2 4958.1 4758.3 0.82 27.1 (1.00) -2307.8 (0.67) 89/67/143/56 25.1/18.9/40.3/15.8
Five-class -2279.5 4717.0 5022.9 4772.2 0.76 29.6 (0.80) -2294.4 (1.00) 135/74/69/41/36 38.0/20.8/19.4/11.5/10.1
Six-class -2265.6 4721.3 5089.1 4787.7 0.76 40.3 (0.78) -2286.0 (0.33) 46/81/40/30/77/81 13.0/22.8/11.3/8.4/21.7/22.8

Bold values indicate the value corresponding to the “best” model according to each fit indicator.

LL: Log Likelihood; AIC: Akaike’s Information Criterion; BIC: Bayesian Information Criterion; LMR: Lo-Mendell-Rubin likelihood ratio test; BLRT: Bootstrapped likelihood ratio test.