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. Author manuscript; available in PMC: 2018 May 1.
Published in final edited form as: Prev Sci. 2017 May;18(4):416–427. doi: 10.1007/s11121-017-0780-6

Table 3.

Determining the number of classes in GGMM (N=8,800), ECLS-B

Model LL # of parameters BICa Entropyb
1 class model −71759.190 14 143645.474 1
2 class model −61631.708 19 123435.901 0.962
3 class model −57202.961 24 114623.799 0.886
4 class model −56158.689 29 112580.645 0.881
5 class model −55228.056 34 110764.769 0.861
6 class model −54462.962 39 109279.972 0.859
7 class model −54093.646 44 108586.732 0.863
8 class model −53863.760 49 108172.350 0.856
9 class model −53688.713 54 107867.648 0.857
a

Bayesian Information Criterion, lower values indicating better fit.

b

Entropy ranges from 0 to 1 and indicates a better classification of individuals as values approach 1.