Table 3.
Model Description |
Log-likelihood (L2) |
BICL2 | AICL2 | Npar/DF | P-value | CEa | %ERb | L2/df |
---|---|---|---|---|---|---|---|---|
1-class | 12445.92 | 8473.08 | 11215.92 | 24/615 | 4.6 e-2171 | .0000 | 0.0 | 20.24 |
2-class | 10201.52 | 6428.94 | 9033.52 | 55/584 | 3.0 e-1729 | .0385 | 81.97 | 17.46 |
3-class | 9628.81 | 6056.48 | 8522.81 | 86/553 | 3.0 e-1631 | .0632 | 77.37 | 17.41 |
4-class | 9348.56 | 5976.49 | 8304.56 | 117/522 | 3.6 e-1593 | .0724 | 75.12 | 17.91 |
5-class | 9150.80 | 5978.98 | 8168.80 | 148/491 | 3.8 e-1572 | .0820 | 73.53 | 18.64 |
6-class | 9036.55 | 6064.99 | 8116.55 | 179/460 | 1.7 e-1568 | .0812 | 72.61 | 19.64 |
7-class | 8845.52 | 6074.23 | 7987.52 | 210/429 | 2.7 e-1549 | .0726 | 71.08 | 20.62 |
Note. CE = Classification Error is the proportion of cases expected to be misclassified values closer to zero are better).
%ER = percent error reduction in L2 when model is pitted against the null model of complete independence. Model is conditioned for gender (male), age group (< 21 years of age), race (white), marital status (married), education (high school graduate), and site.