Table 3.
Model | AIC | BIC | Entropy | LMRT | VLMRT |
---|---|---|---|---|---|
2-Profile | 14542.15 | 14611.96 | .94 | 835.70** | −7863.87** |
3-Profile | 13871.93 | 13967.1 | .94 | 591.45** | −7217.44** |
4-Profile | 13706.19 | 13828.36 | .91 | 173.21 | −6913.97 |
5-Profile | 13628.86 | 13777.20 | .92 | −122.64 | −6717.50 |
6-Profile | 13053.03 | 13227.55 | .94 | 147.52 | −6562.21 |
Note: AIC = Akaike information criterion; BIC = Bayesian information criterion; LMRT = Lo–Mendell–Rubin likelihood ratio test; VLMRT = Vuong-Lo-Mendell-Rubin likelihood ratio test.
p < .01.
The null hypotheses for the LMRT and VLMRT significance values indicate that a solution with the given number of classes provides the same fit to the data as a solution with one less class (i.e., adding an additional profile does not improve the model fit).