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Table 3 Latent class information criteria estimation

From: Does ‘local’ matter in restaurant choice? Results of a discrete choice experiment targeting German and Italian consumers

Model LL BIC(LL) AIC(LL) AIC3(LL) CAIC(LL) N. par
1–class − 12,093 24,235 24,201 24,208 24,242 7
2–class − 10,697 21,497 21,424 21,439 21,512 15
3–class − 9866 19,891 19,778 19,801 19,914 23
4–class − 9474 19,162 19,009 19,040 19,193 31
5–class − 9236 18,742 18,551 18,590 18,781 39
6–class − 9099 18,523 18,293 18,340 18,570 47
7–class − 8990 18,361 18,091 18,146 18,416 55
  1. Note: LL log likelihood, BIC Bayesian information criterion, AIC Akaike information criterion, AIC3 Akaike information criterion 3, CAIC consistent Akaike information criterion, N. Par number of parameters