Table 2. Fit statistics for different size latent class models of delinquency using inverse propensity weights.
Number of classes | df | G2 | AIC | BIC | CAIC | a-BIC | Entropy | Solution %a |
---|---|---|---|---|---|---|---|---|
1 | 121 | 1,946.2 | 1,958.2 | 1,991.5 | 1,997.5 | 1,972.4 | 1.00 | 100 |
2 | 113 | 558.7 | 586.7 | 664.3 | 678.3 | 619.8 | 0.78 | 100 |
3 | 105 | 294.6 | 338.6 | 460.6 | 482.6 | 390.7 | 0.70 | 100 |
4 | 97 | 216.5 | 276.5 | 442.9 | 472.9 | 347.6 | 0.72 | 35 |
5 | 89 | 152.3 | 228.3 | 439.0 | 477.0 | 318.3 | 0.72 | 1 |
6 | 81 | 119.3 | 211.3 | 466.3 | 512.3 | 320.2 | 0.72 | 11 |
Note. The bold solution indicates the selected model
Solution % is the percentage of times the solution was selected out of 100 random sets of starting values