Table 1.
Model | AIC | BIC | Entropy | LMR LRT |
---|---|---|---|---|
2 Classes | 84,127.039 | 84,289.546 | .959 | p < .001 |
3 Classes | 81,150.535 | 81,382.689 | .928 | p = .004 |
4 Classes | 78,627.923 | 78,929.723 | .965 | p = .011 |
5 Classes | 77,066.396 | 77,437.842 | .962 | p = .280 |
6 Classes | 76,297.706 | 76,738.798 | .931 | p = .417 |
7 Classes | 75,601.979 | 76,112.717 | .926 | p = .356 |
Note: AIC = Akaike information criterion (lower values indicate better fit); BIC = Bayesian information criterion (lower values indicate better fit); LMR LRT = Lo-Mendell-Rubin likelihood ratio test (significance indicates better fit compared with a solution with one fewer cluster).