Table 2.
Model | Log-likelihood | BIC | Adj. BIC | AIC | Entropy | LMR |
---|---|---|---|---|---|---|
1 class | −7838.821 | 15791.493 | 15737.508 | 15711.643 | n/a | n/a |
2 class | −6298.084 | 12830.564 | 12719.419 | 12666.168 | 0.909 | < 0.001 |
3 class | −6063.940 | 12482.823 | 12314.517 | 12233.880 | 0.870 | < 0.001 |
4 class | −5977.273 | 12430.035 | 12204.568 | 12096.545 | 0.802 | 0.016 |
5 class | −5918.096 | 12432.228 | 12149.601 | 12014.192 | 0.809 | 0.046 |
6 class | −5887.244 | 12491.071 | 12151.283 | 11988.488 | 0.819 | 0.280 |
a7 class | −5862.419 | 12561.968 | 12165.020 | 11974.839 | 0.836 | 0.205 |
Note. The bolded solution was determined to be the final model. BIC = Bayesian information criterion; Adj. BIC = Sample size adjusted Bayesian information criterion; AIC = Akaike information criterion; LMR = Lo-Mendell-Rubin adjusted likelihood ration test; BLRT = bootstrap likelihood ratio test;
best log-likelihood value could not be replicated despite increasing the number of random starts.