Table 1.
Comparison of latent class model fit statistics
Number of classes | Log likelihood | AIC | BIC | aBIC | LMR-A | Entropy |
---|---|---|---|---|---|---|
1 | −23,702.65 | 47,609.30 | 48,113.99 | 47,790.02 | - | - |
2 | −20,200.32 | 40,810.65 | 41,824.98 | 41,173.87 | 6984.935**** | .97 |
3 | −18,997.31 | 38,610.61 | 40,134.58 | 39,156.33 | 2401.869**** | .97 |
4 | −18,125.72 | 37,073.44 | 39,107.04 | 37,801.65 | 1,742.54 | .95 |
5 | −18,090.39 | 37,208.79 | 39,752.03 | 38,119.49 | 1,735.15 | .96 |
When comparing models, lower AIC, BIC, and aBIC values and significant LMR-A p values indicate improved model fit.
aBIC = sample-size adjusted BIC; AIC = Akaike Information Criterion; BIC = Bayesian Information Criterion; LMR-A = Lo-Mendell-Rubin-Adjusted Likelihood Ratio Test.
p < .0001.