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Table 3 Fit statistics: 2–7 class models with parameter restrictions specifying means of 0.5 and −0.5

From: A framework for characterizing heterogeneity in neurodevelopmental data using latent profile analysis in a sample of children with ADHD

No. of classes Parameters Modes Start values ending at top mode LL AIC BIC Entropy
2 8 1 100% −1112.56 2241.125 2263.425 0.90207
3 16 1 100% −1100.26 2232.511 2277.111 0.891765
4 24 2 77% −1087.21 2222.418 2289.317 0.898637
5 32 6 57% −1072.99 2209.973 2299.172 0.875514
6 40 17 80% −1064.48 2208.956 2320.455 0.789589
7 48 33 0.8% −1055.85 2207.702 2341.502 0.79027
  1. LL loglikelihood, AIC Akaike information criterion, BIC Bayesian information criterion