Table 2.
Fit Statistics | No. of classes | |||
---|---|---|---|---|
2 | 3 | 4 | 5 | |
Degree of freedom | 19 | 29 | 39 | 49 |
Log likelihood | −27250.6 | −25497.5 | −24856.1 | −24675.2 |
Akaike (AIC) | 54539.2 | 51052.9 | 49790.2 | 49448.4 |
Bayesian (BIC) | 54670.8 | 51253.7 | 50060.3 | 49787.6 |
Sample-Size | ||||
Adjusted BIC | 54610.4 | 51161.5 | 49936.3 | 49631.9 |
Entropy | .789 | .862 | .844 | .810 |
VLMR LRT | < .0001 | < .0001 | .0003 | 0.145 a |
LMR adjusted LRT | < .0001 | < .0001 | .0004 | 0.148 a |
Note.
AIC = Akaike’s Information Criteria; BIC = Bayesian Information Criteria; VLMR LRT = Vuong-Lo-Mendell-Rubin Likelihood Ratio Test; LMR adjusted LRT: Lo-Mendell-Rubin Adjusted Likelihood Ratio Test.
The tests compares the 4-class model and the 5-class model. As the 5-class model didn’t significantly increase the model fit, the 4-class model was selected as the optimal model.