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. Author manuscript; available in PMC: 2019 Feb 1.
Published in final edited form as: Int J Geriatr Psychiatry. 2017 Jul 24;33(2):405–413. doi: 10.1002/gps.4761

Table 2.

Fit indices for 1- to 5-class unconditional latent growth mixture models of depressive and anxiety symptoms over the 6-year study period

Depressive symptoms

Class Log-likelihood AIC BIC SSABIC Entropy LMR adjusted LRT p % in smallest class
1 −3611.39 7242.77 7283.25 7251.51 100
2 −3567.91 7161.82 7214.44 7173.18 0.83 0.0042 18.9
3 −3554.23 7140.47 7205.23 7154.45 0.88 0.0656 0.4
4 −3531.35 7100.71 7177.61 7117.31 0.874 0.0863 0.5
5 −3523.16 7090.33 7179.37 7109.56 0.879 0.1974 0.5

Anxiety symptoms

Class Log-likelihood AIC BIC SSABIC Entropy LMR adjusted LRT p % in smallest class

1 −4046.79 8113.59 8154.06 8122.33 100
2 −4028.65 8083.3 8135.92 8094.67 0.688 0.0127 17
3 −4021.32 8074.64 8139.4 8088.62 0.731 0.57 3.4
4 −4017.15 8072.29 8149.19 8088.9 0.786 0.19 0.7
5 Failure of model convergence

Note. AIC=Akaike Information Criterion; BIC=Bayesian Information Criterion; SSABIC=Sample size-adjusted Bayesian Information Criterion; LMR LRT=Lo-Mendell-Rubin likelihood ratio test.