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. 2022 Sep 24;12:15957. doi: 10.1038/s41598-022-20344-y

Table 4.

The model fit information for the GMM models for depression and anxiety (N = 178).

Classes AIC Adjusted BIC BIC Class counts (%) Entropy VLMR-LRT BLRT Parameters
1 979.409 979.529 1004.864 8
2 963.042 963.206 998.041 1: 45 (25.3); 2: 133 (74.7) .762 .174  < .001 11
3a 952.050 952.229 990.231 1: 5 (2.8); 2: 53 (29.8); 3: 120 (67.4) .854 .035  < .001 12
4a 945.881 946.104 993.607 1: 5 (2.8); 2: 24 (13.5); 3: 47 (26.4); 4: 102 (57.3) .763 .610 .040 15

GMM Growth Mixture Model, AIC Akaike Information Criterion, BIC  Bayesian Information Criterion, VLMR-LRT Vuong-Lo-Mendell-Rubin Likelihood Ratio Test, BLRT Bootstrap Likelihood Ratio Test.

aThe variance of the slope was fixed at zero for all classes.