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Table 3 Model fit statistics for latent profile analyses

From: Identifying and predicting food parenting practice profiles among Canadian parents

K LL BIC SABIC AIC CAIC AWE VLMR-LRTp BLRTp BF cmP Entropy
1 − 5095.77 10,265.06 10,230.13 10,213.54 10,234.47 10,239.97 0.00 0.00
2 − 4812.03 9777.77 9704.74 9670.06 9713.81 9725.31 0.314 < 0.001 0.00 0.00 0.621
3 − 4626.77 9487.46 9376.31 9323.54 9390.13 9407.63 0.005 < 0.001 0.11 0.04 0.713
4 − 4564.90 9443.91 9294.66 9223.79 9313.21 9336.71 0.409 < 0.001 1.24 0.39 0.683
5 − 4526.95 9448.22 9260.87 9171.90 9284.15 9313.65 0.029 < 0.001 1.49 0.31 0.737
6 −4490.83 9456.18 9230.71 9123.66 9258.74 9294.24 0.353 < 0.001 4.50 0.21 0.721
7 − 4465.76 9486.25 9222.68 9097.53 9255.44 9296.94 0.096 < 0.001 8.44 0.05 0.709
  1. K number of profiles, LL log-likelihood, BIC Bayesian information criterion, SABIC sample-size adjusted BIC, AIC Akaike information criterion, CAIC consistent AIC, AWE approximate weight of evidence criterion, p error probability, VLMR-LRT Vuong-Lo-Mendell-Rubin adjusted likelihood ratio test, BLRT bootstrapped likelihood ration test, BF Bayes factor, cmP correct model probability. Bolded values indicate best fit for each respective statistic