Table 3.
Model fit of the latent class trajectory model.
| Number of groups | loglik | conv | npm | AIC | BIC | SABIC | Entropy | %class1 | %class2 | %class3 | %class4 | %class5 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| k = 1 | −3,651.75 | 1 | 6 | 7,315.50 | 7,341.81 | 7,322.76 | 1.00 | 100.00 | NA | NA | NA | NA |
| k = 2 | −3,630.92 | 1 | 9 | 7,279.85 | 7,319.31 | 7,290.74 | 0.68 | 82.97 | 17.03 | NA | NA | NA |
| k = 3 | −3,630.92 | 1 | 12 | 7,285.85 | 7,338.47 | 7,300.37 | 0.39 | 19.39 | 80.61 | 0.00 | NA | NA |
| k = 4 | −3,619.81 | 1 | 15 | 7,269.63 | 7,335.40 | 7,287.78 | 0.64 | 31.20 | 9.27 | 54.47 | 5.06 | NA |
| k = 5 | −3,615.78 | 1 | 18 | 7,267.56 | 7,346.49 | 7,289.35 | 0.57 | 28.50 | 9.44 | 4.38 | 32.04 | 25.63 |
| Further improvement | ||||||||||||
| k = 3 (standardized index + random slope) | −281.70 | 1 | 12 | 587.40 | 640.02 | 601.93 | 0.54 | 17.54 | 36.76 | 45.70 | NA | NA |
| k = 3 (squared root standardized index + random slope) | 927.00 | 1 | 12 | −1,829.99 | −1,777.37 | −1,815.46 | 0.68 | 32.72 | 17.88 | 49.41 | NA | NA |
| k = 4 (random slope + intercept) | −9,080.86 | 1 | 15 | 18,191.73 | 18,257.50 | 18,209.88 | 0.24 | 0.00 | 25.46 | 74.54 | 0.00 | NA |
| k = 4 (random intercept) | −9,109.59 | 1 | 13 | 18,245.18 | 18,302.18 | 18,260.91 | 0.81 | 48.57 | 24.45 | 15.51 | 11.47 | NA |
| k = 4 (squared root index + random intercept) | −3,480.83 | 1 | 15 | 6,991.67 | 7,057.44 | 7,009.82 | 0.71 | 14.50 | 17.54 | 38.45 | 29.51 | NA |
| k = 4 (squared root index + random intercept + slope) | −3,446.98 | 1 | 15 | 6,923.96 | 6,989.74 | 6,942.12 | 0.49 | 73.86 | 15.18 | 0.00 | 10.96 | NA |
| k = 4 (standardized index + random slope) | −260.87 | 1 | 15 | 551.75 | 617.53 | 569.91 | 0.76 | 44.18 | 34.91 | 3.20 | 17.71 | NA |
| k = 4 (squared root standardized index + random slope) | 976.75 | 2 | 15 | −1,923.50 | −1,857.72 | −1,905.34 | 0.84 | 0.00 | 75.89 | 10.12 | 14.00 | NA |