Table 2.
Fit indices for the LPAs.
| 1 profile | 2 profiles | 3 profiles | 4 profiles | 5 profiles | 6 profiles | |
|---|---|---|---|---|---|---|
| BIC | 3959.01 | 3763.20 | 3725.36 | 3685.07 | 3683.23 | 3664.94 |
| SABIC | 3933.63 | 3721.96 | 3668.26 | 3612.11 | 3594.40 | 3560.25 |
| CAIC | 3967.01 | 3776.20 | 3743.36 | 3708.07 | 3711.23 | 3697.94 |
| AWE | 4027.76 | 3876.18 | 3882.86 | 3886.77 | 3929.36 | 3955.28 |
| BLRT | 225.03 | 67.06 | 69.51 | 27.14 | 29.02 | |
| BF | 17866.81 | 16.63 | 7.50 | 1.10 | 2.50 | |
| cmP | 0.00 | 0.00 | 0.03 | 0.20 | 0.22 | 0.55 |
| Entropy | 0.99 | 0.84 | 0.85 | 0.74 | 0.75 | |
| LL | −1956.13 | −1843.62 | −1810.09 | −1775.33 | −1759.80 | −1736.05 |
| % smallest n | 4.05 | 4.05 | 1.15 | 1.15 | 1.15 |
Lower values indicate better model fit. Note. Bold values indicate the best-fitting model according to each fit index. For BIC, SABIC, CAIC, and AWE, lower values indicate better model fit. For BLRT and the Bayes Factor (BF), higher values indicate stronger support for the model compared with the model with one fewer profile. For the cmP (correct model probability), higher values indicate greater probability that the model is the correct one among the tested solutions.