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. 2021 Oct 28;144:389–396. doi: 10.1016/j.jpsychires.2021.10.043

Table 4.

Fit Indices for latent growth mixture models of anxiety and depression symptoms (n = 804).

Models for anxiety symptoms
Statistic One class Two class Three class Four class Five class
AIC 5287.21 5335.95 5304.14 5277.89 5269.19
BIC 5415.35 5378.16 5360.57 5348.26 5353.62
SSBIC 5396.30 5349.59 5322.47 5300.62 5296.46
Entropy .50 .70 .70 .72
A-LRT 54.54 35.87 30.85 14.00
A-LRT p-value

(<.01)
(<.05)
(<.05)
(.42)
Models for depression symptoms
Statistic One class Two class Three class Four class Five class Six class
AIC 5707.33 5590.60 5533.62 5474.98 5423.98 5407.72
BIC 5735.48 5632.82 5589.91 5535.35 5507.92 5506.22
SSBIC 5716.42 5604.24 5551.80 5497.71 5450.76 5439.53
Entropy .73 .77 .82 .81 .79
A-LRT 116.90 60.00 61.56 54.77 20.73
A-LRT p-value (<.001) (<.05) (<.05) (<.05) (p = 0.49)

Note: AIC = Akaike Information Criterion; BIC = Bayesian Information Criterion; SSBIC = Sample Size Adjusted Bayesian Information Criterion; A-LRT = Adjusted Lo-Mendell-Rubin Likelihood Ratio Test.