Table 1. Latent class growth analysis procedure and model fit.
Number of latent subgroups | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
---|---|---|---|---|---|---|---|---|
AIC* | 49727 | 49137 | 48957 | 48838 | 48787 | 48745 | 48722 | 48712 |
BIC* | 49774 | 49202 | 49040 | 48938 | 48905 | 48880 | 48875 | 48883 |
Adjusted BIC* | 49749 | 49167 | 48995 | 48885 | 48841 | 48807 | 48793 | 48790 |
Entropy | 74% | 74% | 71% | 75% | 76% | 75% | 68% | 69% |
Lo, Mendell, Rubin LRT* | 2 vs. 1 1782 P<0.00001 |
3 vs. 2 572 P<0.00001 |
4 vs. 3 178 P = 0.0010 |
5 vs. 4 120 P<0.00001 |
6 vs. 5 55 P = 0.0118 |
7 vs. 6 46 P = 0.0169 |
8 vs. 7 28 P = 0.3039 |
9 vs. 8 33 P = 0.3255 |
Bootstrapped LRT* | P<0.00001 | P<0.00001 | P<0.00001 | P<0.00001 | P<0.00001 | P<0.00001 | P<0.00001 | P<0.00001 |
N for each class | 1:N = 1792 (67%) 2:N = 868 (33%) |
1:N = 1105(42%) 2:N = 1292 (48%) 3:N = 263 (10%) |
1:N = 1234 (46%) 2:N = 110 (4%) 3:N = 562 (21%) 4:N = 754 (28%) |
1:N = 1247 (47%) 2:N = 52 (2%) 3:N = 108 (4%) 4:N = 739 (28%) 5:N = 514 (19%) |
1: N = 709 (27%) 2: N = 1208 (45%) 3: N = 116 (4%) 4: N = 42 (2%) 5: N = 528 (20%) 6: N = 57 (2%) |
1: N = 667 (25%) 2: N = 526 (20%) 3: N = 39 (1%) 4: N = 47 (2%) 5: N = 145 (5%) 6: N = 73 (3%) 7: N = 1163 (44%) |
1: N = 570 (21%) 2: N = 426 (16%) 3: N = 76 (3%) 4: N = 688 (26%) 5: N = 38 (1%) 6: N = 145 (5%) 7: N = 49 (2%) 8: N = 668 (25%) |
1: N = 553 (21%) 2: N = 583 (22%) 3: N = 40 (25%) 4: N = 661 (25%) 5: N = 47 (2%) 6: N = 14 (1%) 7: N = 89 (3%) 8: N = 514 (19%) 9: N = 159 (6%) |
* Performance measures: AIC: Akaike information criterion; BIC: Bayes information criterion; LRT: Likelihood Ratio Test