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Table 2 Fit indices of latent class analysis on ADL subtypes

From: The activity of daily living (ADL) subgroups and health impairment among Chinese elderly: a latent profile analysis

Model K AIC BIC aBIC Entropy LMR BLRT Class Probability
1 28 182,235.96 182,431.98 182,343.02 1
2 43 120,223.44 120,524.47 120,387.83 0.97 0.023 <0.001 0.78/0.22
3 58 85,654.45 86,060.49 85,876.17 0.98 <0.001 <0.001 0.19/0.75/0.06
4 73 73,010.91 73,521.96 73,289.98 0.99 <0.001 <0.001 0.18/0.75/0.04/0.03
5 98 60,971.16 61,587.22 61,307.57 0.98 <0.556 <0.001 0.18/0.62/0.13/0.04/0.02
  1. K freedom of model, AIC Akaike Information Criterion, BIC Bayesian Information Criterion, aBIC adjusted Bayesian Information Criterion, LMR Lo-Mendell-Rubin likelihoodratio test; BLRT Bootstraplikelihood ratio test