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. Author manuscript; available in PMC: 2015 Oct 1.
Published in final edited form as: J Pain Symptom Manage. 2014 Apr 21;48(4):558–568. doi: 10.1016/j.jpainsymman.2013.10.025

Table 2.

Comparisons of Models with Different Numbers of Subgroups at Each Time Point

No. of
classes		 Likelihood
ratio G2 		AIC BIC (sample
size adjusted)		 Bootstrapped
Likelihood
Ratio Test		 Entropy
Time 1
2 6211.67 6127.86 6149.44 0.0000 .75
3 4537.80 6095.35 6123.67 0.01 .80
4 4537.80 6077.32 6112.38 0.6 .84
Time 2
2 6646.84 6766.84 6793.81 0.000 .60
3 4165.36 6729.39 6764.46 0.000 .73

Note. Likelihood Ratio G2 is – 2 times of loglikelihood value; Smaller Akaike’s information criterion (AIC) is preferable; Smaller Bayesian information criterion (BIC) is preferable; p < 0.05 in Bootstrap Likelihood Ratio Test indicates that at least the present number of classes exist in given data; A higher than 0.8 entropy value (i.e., the summary of the latent class probability for most likely latent class membership based on the estimated model) is preferred.