Table 1.
Fit indices and entropy for the LPA models
k | LL | #fp | AIC | BIC | SaBIC | CAIC | BLRT | Entropy | |
---|---|---|---|---|---|---|---|---|---|
1-Profile | 1 | -5098.494 | 20 | 10236.987 | 10320.957 | 10257.477 | 10340.958 | – | – |
2-Profile | 2 | -4956.566 | 31 | 9975.133 | 10105.285 | 10006.891 | 10136.285 | < .001 | .838 |
3-Profile | 3 | -4858.868 | 42 | 9801.735 | 9978.072 | 9844.764 | 10020.072 | < .001 | .832 |
4-Profile | 4 | -4782.074 | 53 | 9670.147 | 9892.666 | 9724.445 | 9945.667 | < .001 | .828 |
5-Profile | 5 | -4715.923 | 64 | 9559.847 | 9828.549 | 9625.414 | 9892.5486 | < .001 | .828 |
6-Profile | 6 | -4656.302 | 75 | 9462.605 | 9777.491 | 9539.441 | 9852.490 | < .001 | .852 |
7-Profile | 7 | -4614.016 | 86 | 9400.033 | 9761.102 | 9488.138 | 9847.101 | < .001 | .862 |
Note. k = number of profiles; #fp = number of free parameters; LL = mode log-likelihood; AIC = Akaike Information Criterion; BIC = Bayesian Information Criterion; SaBIC = sample-size adjusted BIC; CAIC = Consistent Akaike Information Criterion.