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. 2020 Aug 26;122:103481. doi: 10.1016/j.jvb.2020.103481

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.