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. 2017 Aug 8;7(8):e1200. doi: 10.1038/tp.2017.166

Table 3. Goodness-of-fit statistics for cross-sectional latent class analysis of symptoms of anxiety and depression at baseline and 12-month follow-up.

Model tested FP LR × 2 BIC SSA-BIC AIC Entropy VLMR P LMR P
Time 1 (2014)
 1 Class 25 −16 718.95 33 616.66 33 537.25 33 487.89
 2 Class 51 −13 957.47 28 279.62 28 117.62 28 016.94 0.93 −16 718.95 <0.001 5493.41 <0.001
3 Class 77 13 251.653 27 053.91 26 809.32 26 657.31 0.90 13 957.57 <0.001 1404.08 <0.001
 4 Class 103 −12 740.41 26 217.34 25 890.16 25 686.81 0.90 −13 251.65 <0.001 1017.02 <0.001
                     
Time 2 (2015)
 1 Class 25 −17 657.63 35 494.03 35 414.62 35 365.26
 2 Class 51 −13 268.45 26 901.58 26 739.58 26 638.89 0.96 −17 657.63 <0.001 8731.41 <0.001
3 Class 77 12 278.75 25 108.11 24 863.52 24 711.51 0.94 13 268.45 <0.001 1968.80 <0.001
 4 Class 103 −12 278.75 25 108.11 24 863.52 24 711.51 0.94 −13 268.45 <0.001 1968.80 <0.001

Abbreviations: AIC, Akaike information criterion; BIC, Bayesian information Criterion; FP, free parameters; LMR, Lo–Mendell–Rubin-adjusted likelihood ratio test; LR χ2, likelihood ratio chi square; SSA-BIC, sample size-adjusted BIC; VLMR, Vuong–Lo–Mendell–Rubin likelihood ratio test.

The bold values indicate the best-fitting 3-class solution.