Table 4.
Class | LL | AIC | BIC | aBIC | BLRT | Entropy |
---|---|---|---|---|---|---|
2 | −2507.26 | 4587.05 | 4664.78 | 4595.05 | 0.000 | 0.848 |
3 | −2271.52 | 4438.50 | 4544.51 | 4449.40 | 0.000 | 0.851 |
4 | −2189.25 | 4379.09 | 4513.36 | 4392.90 | 0.000 | 0.898 |
5 | −2147.35 | 4304.21 | 4466.75 | 4320.92 | 0.000 | 0.971 |
Note. LL = Log Likelihood; AIC = Akaike Information Criteria; BIC = Bayesian Information Criterion; aBIC = sample size adjusted BIC; BLRT = Bootstrap Likelihood Ratio Test. Note that for the 5-class solution, the number of random starts was increased to 200 to allow for model convergence (replication of the best loglikelihood value); convergence difficulties are sometimes an indication that the data do not support this number of classes. One participant was missing data on all 7 items, and thus the total sample size for latent profile analyses was n = 253.