Table 4.
Model | AIC | adjBIC | Entropy | BLRT | Classes: n, % |
---|---|---|---|---|---|
1 class | 3349 | 3361 | n/a | n/a | 1: n = 332, 100% |
2 class | 2878 | 2903 | 0.69 | 61.45, p < .001 | 1: n = 284, 75% |
2: n = 84, 25% | |||||
3 class | 2866 | 2903 | 0.72 | 52.34, p < .001 | 1: n = 157, 47% |
2: n = 135, 41% | |||||
3: n = 40, 12% | |||||
4 class | 2858 | 2907 | 0.80 | 48.15, p < .001 | 1: n = 154, 47% |
2: n = 109, 33% | |||||
3: n = 41, 12% | |||||
4: n = 28, 8% | |||||
5 class | 2870 | 2933 | 0.81 | 26.99, p = .43 | 1: n = 160, 48% |
2: n = 76, 23% | |||||
3: n = 38, 11% | |||||
4: n = 34, 10% | |||||
5: n = 24, 7% |
AIC = Akaike Information Criterion, adjBIC = Sample size adjusted Bayesian Information Criterion; BLRT = Bootstrapped Likelihood Ratio Test.
Note: Lower BIC and AIC values indicate better fit. Entropy should be greater than 0.7. Values closer to 1 are better.