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. Author manuscript; available in PMC: 2018 Dec 1.
Published in final edited form as: J Sleep Res. 2017 Jun 2;26(6):709–717. doi: 10.1111/jsr.12550

Table 1.

Fit indexes and tests for class solutions, 1–10.

Class solution (#) Negative log likelihood Number of Estimated Parameters CAICa BICa VLMR-LRT p-valueb Relative entropyc
1 −13867.25 18 27883.54 27865.54 NA NA
2 −13577.52 33 27428.27 27395.27 <.01 0.713
3 −13462.27 48 27321.97 27273.97 <.01 0.615
4 −13388.7 63 27299.05 27236.05 0.32 0.646
5 −13332.27 78 27310.38 27232.38 0.24 0.622
6 −13279.57 93 27329.17 27236.17 0.14 0.646
7 −13234.76 108 27363.77 27255.77 0.25 0.659
8 −13200.98 123 27420.39 27297.39 0.86 0.667
9 −13167.7 138 27478.05 27340.04 0.80 0.692
10 −13142.07 153 27550.98 27397.98 0.37 0.694

CAIC: Consistent Akaike’s Information Criteria, BIC: Bayesian Information Criteria, LRT: Likelihood ratio test, VLMR: Vuong-Lo-Mendel-Rubin.

a

BIC and CAIC: lowest value indicates best fitting model.

b

VLMR-LRT: significant p-value indicates significant improvement in fit (k vs. k-1).

c

measure of class differentiation ranges from no differentiation (0) to perfect differentiation (1).