Table 1.
Fit Indices and Class Membership Counts for One- to Four-Class Growth Mixture Models Tested
| One-class | Two-class | Three-class | Four-class | |
|---|---|---|---|---|
| Parameters | 20 | 41 | 62 | 83 |
| LL | −4168.30 | −4058.88 | −4005.41 | −3965.61 |
| AIC | 8376.60 | 8199.76 | 8134.83 | 8097.22 |
| AICc | 8383.21 | 8232.25 | 8226.73 | 8315.10 |
| BIC | 8436.54 | 8322.65 | 8320.66 | 8345.99 |
| aBIC | 8373.25 | 8192.90 | 8124.45 | 8083.33 |
| Entropy | 1.00 | 0.80 | 0.78 | 0.82 |
|
| ||||
| Count (%) in each class | ||||
| Class 1 | 148 (100.0) | 118 (79.7) | 102 (68.9) | 98 (66.2) |
| Class 2 | -- | 30 (20.3) | 26 (17.6) | 27 (18.2) |
| Class 3 | -- | -- | 20 (13.5) | 6 (4.1) |
| Class 4 | -- | -- | -- | 17 (11.5) |
Note. LL = log likelihood, AIC = Akaike information criterion, AICc = AIC with sample size corrections, BIC = Bayesian information criterion, aBIC = sample size adjusted BIC. A 5-class solution was also tested, but the model did not converge.