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. Author manuscript; available in PMC: 2015 Jul 26.
Published in final edited form as: J Abnorm Psychol. 2013 May 6;122(3):672–683. doi: 10.1037/a0031823

Table 1.

Results of Latent Growth Mixture Modeling for 1526 Ecological Momentary Assessment Days

Number of
Classes
Number of
Parameters
LL BIC aBIC cAIC Entropy
1 13 −25304.2 50703.7 50662.4 50716.7 -
2 17 −25184.5 50493.7 50439.7 50510.7 0.790
3 21 −25083.9 50321.7 50255.0 50342.7 0.829
4 25 −24987.0 50157.3 50077.9 50182.3 0.807
5 29 −24925.6 50063.8 49971.7 50092.8 0.834
6 33 −24885.6 50013.1 49908.2 50046.1 0.841
7 37 −24868.6 50008.5 49891.0 50045.5 0.841
8 41 −24855.2 50011.0 49880.7 50052.0 0.793

Note. LL = log likelihood; BIC = Bayesian information criterion; aBIC = sample size-adjusted Bayesian information criterion; cAIC = consistent Akaike information criterion.