Table 1. Fit Indices for Latent Class Analysis.
1 | 2 | 3 | 4 | |
BIC | 13900.997 | 13419.045 | 13312.442 | 13256.482 |
Entropy | – | 0.950 | 0.838 | 0.837 |
Class >5% | No | No | No | No |
LMR-LRT | – | Sig | Sig | NS |
Note: BIC = Bayesian information criterion (smaller values indicate better model fit). Entropy at least.80 (higher values indicates well identified classes). Class >5% (any class smaller than 5% not sufficient). LMR-LRT = Lo-Mendell-Rubin Adjusted Likelihood Ratio Test, test of fit between the model of interest (e.g., three-class model) and the model with one less class (e.g., two-class model). Sig = significant. NS = non-significant.