Table II.
Loglikelihood, Information Criteria, and Entropy Tests for Latent Class Growth Analysis and Growth Mixture Models
| Measure | Intercept | Linear | 1 Class | 2 Classes | 3 Classes | 4 Classes | 5 Classes | 6 Classes |
|---|---|---|---|---|---|---|---|---|
| LGCM | ||||||||
| CFI | 0.89 | 1.00 | ||||||
| TLI | 0.92 | 1.03 | ||||||
| RMSEA | 0.10 | 0.00 | ||||||
| SRMR | 0.11 | 0.02 | ||||||
| χ2 | 9.01 | 0.52 | ||||||
| df | 4 | 1 | ||||||
| χ2/df | 2.25 | 0.52 | ||||||
| AIC | 1,822.53 | 1,812.45 | ||||||
| BIC | 1,836.46 | 1,834.75 | ||||||
| SSA-BIC | 1,820.66 | 1,809.45 | ||||||
| LCGA | ||||||||
| Loglikelihood | −945.49 | −885.95 | −878.44 | −859.57 | −855.34 | −855.34 | ||
| AIC | 1,900.99 | 1,787.89 | 1,778.87 | 1,747.14 | 1,744.69 | 1,750.69 | ||
| BIC | 1,914.92 | 1,810.19 | 1,809.53 | 1,786.17 | 1,792.08 | 1,806.44 | ||
| SSA-BIC | 1,899.12 | 1,784.90 | 1,774.76 | 1,741.91 | 1,738.33 | 1,743.21 | ||
| Entropy | — | 0.91 | 0.80 | 0.88 | 0.82 | 0.83 | ||
| LMR test | — | 111.34 | 14.04 | 19.72 | 7.91 | −0.66 | ||
| LMR, p-value | — | .11 | .46 | .13 | .83 | .77 | ||
| GMM | ||||||||
| Loglikelihood | −901.78 | −881.00 | −867.25 | −856.58 | −849.92 | — | ||
| AIC | 1,815.57 | 1,780.00 | 1,758.50 | 1,743.15 | 1,735.85 | — | ||
| BIC | 1,832.29 | 1,805.09 | 1,791.95 | 1,784.96 | 1,786.03 | — | ||
| SSA-BIC | 1,813.32 | 1,776.63 | 1,754.02 | 1,737.54 | 1,729.12 | — | ||
| Entropy | — | 0.90 | 0.93 | 0.89 | 0.87 | — | ||
| LMR test | — | 38.86 | 25.71 | 19.96 | 12.43 | — | ||
| LMR, p-value | — | 0.28 | 0.29 | 0.12 | 0.38 | — | ||
Note. AIC = Akaike Information Criteria; BIC = Bayesian information criteria; LGCM = latent growth curve model.