Table 1.
Fit statistics and classification precision across models.
| Model | # parameters | LL | BIC | Entropy |
|---|---|---|---|---|
| LGC | 13 | −22700.5 | 45494.3 | 1.00 |
|
| ||||
| LGMM (2-class) | 14 | −22251.8 | 44603.9 | 0.97 |
| LGMM (3-class) | 18 | −21907.1 | 43943.2 | 0.98 |
| LGMM (4-class) | 22 | −21717.0 | 43591.7 | 0.95 |
| LGMM (5-class) | 26 | −21599.0 | 43384.4 | 0.95 |
|
| ||||
| LMM (3-classes each time) | 27 | −20468.7 | 41130.9 | 0.95 |
Note. LGC = latent growth curve model; LGMM = latent growth mixture model; LMM = latent Markov model; LL = log likelihood; BIC = Bayes Information Criteria.