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Table 2 CFA, LCA and FMMA: model comparisons and fit indices

From: In search of the optimum structural model for Internet Gaming Disorder

No. of classes (c)/factors (f)

LL

No. of parameters

BIC

p for LMR

Entropy

Confirmatory factor analysis

 One-factor

− 8789

27

17,757

  

Latent class analysis

 One-class

−10,067

18

20,254

  

 Two-class

− 9175

28

18,536

0.0000

0.903

 Three-class

− 8795

38

17,842

0.0482

0.953

 Four-class

− 8242

48

16,801

0. 2489

1.000

Factor mixture model

 Two-class/one-factor

  FMMA-1

−9175

28

18,536

0.0000

0.803

  FMMA-2

− 8750

30

17,698

0.0104

0.636

  FMMA-3

− 8533

38

17,317

0.0000

0.984

  FMMA-4

− 8509

48

17,336

0.0000

0.977

 Three-class/one-factor

  FMMA-1

− 8809

31

17,824

0.0000

0.951

  FMMA-2

− 8719

33

17,657

0. 1422

0.983

  FMMA-3

− 8481

49

17,286

0. 2349

0.964

  FMMA-4

− 8400

68

17,249

0. 1223

0.948

  1. LL Log Likelihood, BIC Bayesian Information Criterion, LMR Lo–Mendell–Rubin