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. 2019 Nov 26;11(12):2881. doi: 10.3390/nu11122881

Table 6.

Information criteria to select the number of classes for SAFA and SANA LC models *.

SAFA LC Models SANA LC Models
Number of classes Npar LL BIC CAIC Npar LL BIC CAIC
1 10 −1289.44 2631.70 2641.70 10 −3190.41 6440.84 6450.84
2 23 −1190.75 2503.02 2526.02 28 −2848.49 5865.01 5893.01
3 36 −1153.23 2496.65 2532.65 46 −2671.54 5619.14 5665.14
4 49 −1116.25 2491.38 2540.38 64 −2560.59 5505.26 5569.26
5 62 −1086.41 2500.38 2562.38 82 −2490.60 5473.32 5555.32
6 75 −1067.68 2531.60 2606.60 100 −2439.32 5478.78 5578.78

* Npar = Number of estimated parameters.; LC = Latent class; LL = Log-likelihood; BIC (LL) = Bayesian information criterion based on the log-likelihood; CAIC (LL) = Consistent Akaike information criterion, based on the log-likelihood; SAFA = stated attribute full attendance; SANA = stated non-attendance.