Table 2.
Comparison of GMMs with different numbers of latent trajectory classes
| 2 classes | 3 classes | 4 classes1 | 5 classes1 | |
|---|---|---|---|---|
| Entropy | 0.874 | 0.782 | 0.802 | 0.821 |
| LCPP | 0.865 | 0.833 | 0.757 | 0.739 |
| BIC | 56592.488 | 56456.164 | 56377.519 | 56316.237 |
| AIC | 56495.632 | 56332.404 | 56226.855 | 56138.668 |
| VLMR p-value | < 0.001 | 0.009 | 0.245 | 0.674 |
| Class sizes |
219 (14%) 1,386 (86%) |
192 (12%) 1,251 (78%) 162 (10%) |
63 (4%) 159 (10%) 160 (10%) 1,223 (76%) |
73 (5%) 150 (9%) 1,207 (75%) 144 (9%) 31 (2%) |
Note. LCPP = lowest average latent class posterior probability. BIC = Bayesian Information Criterion. AIC = Akaike Information Criterion. VLMR = Vuong-Lo-Mendell-Rubin Likelihood Ratio Test. 1 For the GMMs with 4 and 5 latent trajectory classes, the best loglikelihood values could not be replicated