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. Author manuscript; available in PMC: 2020 Aug 1.
Published in final edited form as: Appetite. 2019 Apr 6;139:8–18. doi: 10.1016/j.appet.2019.04.001

Table 2.

Model Fit Statistics for Latent Profile Analyses (LCA)

LCA Log L Parameters AIC cAIC BIC aBIC BF BLRT p VLMR-LRT p Entropy
1 −2773.71 14 5575.43 5631.48 5617.48 5573.18 0.00 – – –
2 −2734.78 22 5513.56 5601.64 5579.64 5510.02 8.94 <.001 .004 .833
3 −2716.95 30 5493.89 5614.01 5584.01 5489.07 >15.00 <.001 .51 .739
4 −2706.92 38 5489.84 5641.99 5603.99 5483.73 >15.00 .25 .68 .701
5 −2694.77 46 5481.53 5665.72 5619.72 5474.14 >15.00 .04 .03 .786
6 −2684.74 54 5477.49 5693.69 5639.69 5468.80 – .60 .51 .831

Note: AIC = Akaike Information Criterion; aBIC = adjusted BIC; BIC = Bayesian Information Criterion; BF = Bayes factor; BLRT = bootstrap likelihood ratio test; cAIC = consistent AIC; p = p-value; VLMR-LRT = Vuong-Lo-Mendell-Rubin adjusted likelihood ratio test. Bold values indicate “best” fit for each respective statistic.