Table 2:
Class | N. of parameters |
AIC | BIC | Entropy | VLMRa | BLRTa |
---|---|---|---|---|---|---|
2 | 15 | 1182.173 | 1228.671 | 0.910 | p < .001 | p < .001 |
3b | 23 | 1141.716 | 1213.013 | 0.908 | p < .001 | p < .001 |
4 | 31 | 1148.395 | 1244.491 | 0.798 | p = 0.2757 | p = 0.6150 |
AIC, Akaike information criterion; BIC, Bayesian information criterion; VLMR, Vuong-Lo-Mendell-Rubin; BLRT, Bootstrapped likelihood ratio test.
Chi-square statistic for the VLMR and the BLRT. When non-significant (p > .05), the VLMR and the BLRT test provide evidence that K-1 class model fits the data better than the K-class model.
3-class model was selected, based on its having smaller BIC than the 2-class and 4-class model, and non-significant VLBR and BLRT in the 4-class model.