Table 2.
Class | k | G2/LL | df | χ2 | AIC | BIC | aBIC | Entropy | LMR | BLRT | Probabilities |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | 10 | 898.58 | 1025 | 2283.87 | 14,279.64 | 14,331.84 | 14,300.08 | 1.000 | |||
2 | 21 | 659.88 | 976 | 1187.43 | 13,863.59 | 13,973.22 | 13,906.51 | 0.616 | < 0.0001 | < 0.0001 | 0.644/0.356 |
3 a. | 32 | 595.86 | 969 | 1125.13 | 13,786.73 | 13,953.78 | 13,852.13 | 0.688 | < 0.01 | < 0.0001 | 0.078/0.301/0.621 |
4 | 43 | 530.44 | 958 | 1086.72 | 13,742.33 | 13,966.81 | 13,830.21 | 0.588 | 0.1079 | < 0.0001 | 0.072/0.223/0.500/0.206 |
5 | 54 | 484.87 | 947 | 926.48 | 13,717.77 | 13,999.67 | 13,828.13 | 0.635 | 0.3604 | < 0.0001 | 0.153/0.096/0.112/0.609/0.030 |
Note.a. Bold indicates the final choice for the number of clusters. AIC Akaike information criterion, BIC Bayesian information criterion, aBIC adjusted Bayesian information criterion. Entropy indicates classification quality. LMR = P value of likelihood ratio test. BLRT = P value of bootstrap likelihood ratio test