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. 2021 Feb 26;8:9. doi: 10.1186/s40479-021-00147-9

Table 3.

Model fit comparisons for latent class analysis (LCA), confirmatory factor analysis (CFA), and factor mixture models (FMM).

Model LL No. of par. BIC SABIC Entropy BLRT
LCA
 One-class − 2797.12 9 5650.28 5621.71 1
 Two-class − 2542.70 19 5203.71 5143.40 0.74 ≤.001***
 Three-class − 2508.00 29 5196.57 5104.52 0.66 ≤.001***
 Four-class − 2488.52 39 5219.87 5096.09 0.63 ≤.001***
CFA
 One-factor − 2518.92 18 5149.91 5092.77 N/A N/A
 Three-factor1 − 2515.43 21 5161.62 5094.97 N/A N/A
FMM
 Two-class, one-factor
  FMM-1 −2542.70 19 5203.71 5143.40 0.74
  FMM-2 − 2517.43 21 5165.61 5098.96 0.08
  FMM-3 − 2481.07 29 5142.70 5050.65 0.54
  FMM-4 − 2472.06 37 5174.51 5057.07 0.55
 Three-class, one-factor
  FMM-1 − 2521.74 21 5174.23 5107.58 0.66 ≤.001***
  FMM-2 −2515.70 24 5180.83 5104.65 0.28 .08
  FMM-3 −2472.28 40 5193.63 5066.66 0.53 .24
  FMM-4 − 2450.36 56 5249.41 5071.66 0.60 .06

Notes. BIC Bayesian Information Criterion, BLRT parametric bootstrap likelihood ratio test, LL

Log-Likelihood, FFM factor mixture model, SABIC sample size adjusted BIC

1 according to Sanislow et al. [24]