Table 3.
Criteria of multiple-indicator latent class growth analyses for one- to four-class solutions
Latent classes | Loglikelihood | Parameters | AIC | BIC | SSABIC | Entropy | aLMR k-1 vs. k classes |
---|---|---|---|---|---|---|---|
1 | −18,851.053 | 75 | 37,852.106 | 38,268.994 | 38,030.719 | ||
2 | −17,714.372 | 82 | 35,592.744 | 36,048.543 | 35,788.028 | 0.902 | p = 0.26 (1 > 2) |
3 | −17,503.913 | 90 | 35,187.825 | 35,688.092 | 35,402.161 | 0.884 | p = 0.03 (2 < 3) |
4 | −17,525.317 | 98 | 35,246.635 | 35,791.369 | 35,480.022 | 0.868 | p = 0.65 (3 > 4) |
AIC, Akaike’s Information Criterion; BIC, Bayesian Information Criterion; SSABIC, sample size adjusted Bayesian Information Criterion; aLMR, Lo-Mendell-Rubin Adjusted Likelihood Ratio Test