Table 5. Selection rates for the five mixture models for N=350 and N=700.
| AIC | BIC | saBIC | AIC | BIC | saBIC | |
|---|---|---|---|---|---|---|
| N=350 | ||||||
| 1class Model 1 | 0 | 0 | 0 .04 | 0 | 0 | 0.043 |
| 1class Model 2 | 0.19 | 1 | 0.64 | 0 | 1 | 0.13 |
| 2class Model 1 | 0.41 | 0 | 0.08 | 0.13 | 0 | 0.13 |
| 2class Model 2 | 0.36 | 0 | 0.16 | 0.696 | 0 | 0.348 |
| 2class Model 3 | 0.04 | 0 | 0.08 | 0.174 | 0 | 0.348 |
| N=700 | ||||||
| 1class Model 1 | 0 | 0 | 0 | 0 | 0 | 0 |
| 1class Model 2 | 0 | 1 | 0.36 | 0 | 1 | 0.36 |
| 2class Model 1 | 0.05 | 0 | 0.06 | 0.021 | 0 | 0.62 |
| 2class Model 2 | 0.9 | 0 | 0.36 | 0.928 | 0 | 0.371 |
| 2class Model 3 | 0.05 | 0 | 0.22 | 0.052 | 0 | 0.227 |
Note: the first 3 columns show results when comparing converged models in all 100 samples whereas columns 4-6 show results based on samples in which all models converged.