Table A2.
Model selection for latent class growth analysis.
| Degree | Latent Class | Loglik | AIC | BIC | SABIC | Entropy | ICL1 | ICL2 |
|---|---|---|---|---|---|---|---|---|
| 1 | 2 | −51,806.53 | 103,631.07 | 103,691.48 | 103,662.88 | 0.5824 | 105,451.83 | 105,832.83 |
| 1 | 3 | −50,764.96 | 101,555.93 | 101,643.20 | 101,601.89 | 0.5728 | 104,497.74 | 105,081.80 |
| 1 | 4 | −50,277.35 | 100,588.69 | 100,702.81 | 100,648.79 | 0.5935 | 104,130.57 | 104,869.58 |
| 1 | 5 | −50,075.70 | 100,193.39 | 100,334.37 | 100,267.64 | 0.5261 | 104,973.36 | 106,023.83 |
| 1 | 6 | −49,888.31 | 99,826.62 | 99,994.45 | 99,915.01 | 0.5213 | 105,211.34 | 106,664.46 |
| 2 | 2 | −51,665.24 | 103,352.47 | 103,426.32 | 103,391.36 | 0.6110 | 105,066.31 | 105,351.99 |
| 2 | 3 | −50,567.73 | 101,167.47 | 101,274.88 | 101,224.03 | 0.5997 | 103,949.67 | 104,395.96 |
| 2 | 4 | −50,010.27 | 100,062.54 | 100,203.51 | 100,136.78 | 0.6211 | 103,397.94 | 103,999.48 |
| 2 | 5 | −49,783.49 | 99,618.97 | 99,793.51 | 99,710.89 | 0.5559 | 104,140.50 | 105,005.20 |
| 2 | 6 | −49,544.62 | 99,151.24 | 99,359.35 | 99,260.84 | 0.5523 | 104,238.34 | 105,380.25 |
| 3 | 2 | −51,624.54 | 103,275.08 | 103,362.35 | 103,321.04 | 0.6237 | 104,948.61 | 105,182.78 |
| 3 | 3 | −50,512.55 | 101,063.11 | 101,190.66 | 101,130.28 | 0.6094 | 103,800.22 | 104,194.73 |
| 3 | 4 | −49,928.03 | 99,906.06 | 100,073.89 | 99,994.45 | 0.6328 | 103,169.95 | 103,700.50 |
| 3 | 5 | −49,703.54 | 99,469.08 | 99,677.19 | 99,578.68 | 0.5647 | 103,938.50 | 104,737.70 |
| 3 | 6 | −49,456.74 | 98,987.48 | 99,235.86 | 99,118.28 | 0.5637 | 103,990.45 | 105,011.03 |
AIC: Akaike Information Criterion; BIC: Bayesian Information Criterion; SABIC: Sample Size-Adjusted Bayesian Information Criterion; ICL1: Integrated Completed Likelihood 1; ICL2: Integrated Completed Likelihood 2.