Table 4.
LL | AIC (LL) | BIC(LL) | Npar | L² | df | p-value | Classification Error | ||
---|---|---|---|---|---|---|---|---|---|
Model1 | 1-Cluster | −1498.9955 | 3013.9911 | 3047.4972 | 8 | 231.6546 | 160 | 0.00018 | 0.0000 |
Model2 | 2-Cluster | −1454.0972 | 2934.8982 | 2982.4536 | 12 | 141.8579 | 156 | 0.79 | 0.1388 |
Model3 | 3-Cluster | −1447.7773 | 2931.1513 | 2994.5668 | 16 | 129.2180 | 152 | 0.91 | 0.2034 |
Model4 | 4-Cluster | −1445.9286 | 2928.5462 | 3015.6225 | 20 | 125.5207 | 148 | 0.91 | 0.2175 |
Model5 | 5-Cluster | −1443.6928 | 2931.8951 | 3035.9039 | 24 | 121.0490 | 144 | 0.92 | 0.2909 |
Model6 | 6-Cluster | −1436.5159 | 2937.4476 | 3046.3031 | 28 | 106.6952 | 140 | 0.98 | 0.1690 |
Model7 | 7-Cluster | −1435.1497 | 2939.0511 | 3068.3239 | 32 | 103.9629 | 136 | 0.98 | 0.2565 |
Model8 | 8-Cluster | −1429.2613 | 2949.3790 | 3081.3002 | 36 | 92.1862 | 132 | 1.00 | 0.2214 |
Model9 | 9-Cluster | −1421.0062 | 2950.6253 | 3089.5430 | 40 | 75.6759 | 128 | 1.00 | 0.1400 |
Model10 | 10-Cluster | −1419.8665 | 2956.4855 | 3112.0166 | 44 | 73.3965 | 124 | 1.00 | 0.1789 |
Note. Bold text indicates the preferred model. BIC = Bayesian information criterion, AIC = Akaike information criterion, LL = log likelihood, L2 = likelihood ratio Chi square statistic, df = degrees of freedom, Npar = Number of parameters