Table 2.
Fit Statistics for the Latent Class Analysis (N = 413)
| Class size (%) | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Classes | LL | AIC | BIC | Adj BIC | Entropy | LRT (p) | C1 | C2 | C3 | C4 | C5 | C6 |
| 2 | −9971.42 | 20006.84 | 20135.59 | 20034.05 | .88 | < .001 | 70.0% | 30.0% | ||||
| 3 | -9827.48 | 19744.95 | 19926.01 | 19783.21 | .86 | .04 | 57.5% | 32.0% | 10.6% | |||
| 4 | −9749.73 | 19615.46 | 19848.82 | 19664.78 | .88 | .45 | 54.3% | 24.6% | 10.9% | 10.3% | ||
| 5 | −9668.98 | 19479.96 | 19765.63 | 19540.33 | .92 | .22 | 53.0% | 21.3% | 12.1% | 11.3% | 2.2% | |
| 6 | −9626.69 | 19421.38 | 19759.35 | 19492.80 | .92 | .42 | 48.6% | 17.7% | 14.4% | 8.8% | 8.4% | 2.2% |
Note. LL = Loglikelihood; AIC = Akaike information criterion; BIC = Bayesian information criteria; LMR-LRT= Vuong-Lo-Mendell-Rubin Likelihood ratio test. Lower values of AIC and BIC and higher values of entropy indicate better model fit. The selected class is shown in bold.