Table 2.
Model fit information and model selection criteria
| No. of classes | G2 | df | AIC | BIC | CAIC | aBIC | Entropy | Solution % | BLRT |
| 1 | 3,977.0 | 8,178.0 | 4,003.0 | 4,073.9 | 4,086.9 | 4,032.6 | 1.0 | 100.0 | – |
| 2 | 2,252.9 | 8,164.0 | 2,306.9 | 2,454.1 | 2,481.1 | 2,368.4 | 0.7 | 100.0 | 0.02 |
| 3 | 1,857.6 | 8,150.0 | 1,939.6 | 2,163.3 | 2,204.3 | 2,033.0 | 0.7 | 100.0 | 0.02 |
| 4 | 1,689.4 | 8,136.0 | 1,799.4 | 2,099.4 | 2,154.4a | 1,924.7 | 0.8 | 98.0 | 0.02 |
| 5 | 1,578.8 | 8,122.0 | 1,716.8 | 2,093.2a | 2,162.2 | 1,874.0 | 0.6 | 45.8 | 0.02 |
| 6 | 1,482.3 | 8,108.0 | 1,648.3 | 2,101.0 | 2,184.0 | 1,837.3 | 0.7 | 80.9 | 0.02 |
| 7 | 1,402.1 | 8,094.0 | 1,596.1 | 2,125.2 | 2,222.2 | 1,817.0“ | 0.7 | 56.4 | 0.02 |
| 8 | 1,348.8 | 8,080.0 | 1,570.8a | 2,176.3 | 2,287.3 | 1,823.7 | 0.7 | 12.7 | 0.02 |
Notes: Dash (—) indicates criterion was not applicable; bold font indicates selected model. No. = number; AIC = Akaike information criterion; BIC = Bayesian information criterion; CAIC = consistent AIC; aBIC = sample size-adjusted BIC; BLRT = bootstrapped likelihood ratio test. Solution % refers to the percentage of times the maximum likelihood solution was identified out of 1,000 sets of random starting values.
a
Optimal criterion value.