Agricultural and Food Economics

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

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

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