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Table 3 Goodness of Fit for the LPA of the IGD symptoms at Two-time Points

From: Unravelling the intricacies between gaming motivations and internet gaming disorder symptoms in adolescents: a network analysis of 2-year healthy and deteriorating transition profiles

Class

K

Log(L)

AIC

BIC

aBIC

Entropy

LMR

BLRT

Probability of each profile (%)

T1

1

18

− 31,639.599

63,315.198

63,417.299

63,360.111

–

–

–

–

2

24

− 24,181.972

48,411.944

48,548.079

48,471.829

0.794

< 0.001

< 0.001

56.24/ 43.76

3

34

− 23,626.966

47,321.933

47,514.79

47,406.768

0.816

< 0.001

< 0.001

37.62/ 49.49/12.89

4

44

− 23,457.637

47,003.273

47,252.854

47,113.061

0.846

> 0.05

< 0.001

38.13/46.04/3.54/12.29

5

54

23,320.301

46,748.601

47,054.905

46,883.34

0.791

> 0.05

< 0.001

29.94/20.90/38.87/4.56/5.73

T2

1

18

− 31,172.470

62,380.940

62,483.041

62,425.853

–

–

–

–

2

24

-23,516.520

47,081.04

47,217.175

47,140.924

0.805

< 0.001

< 0.001

52.65/47.35

3

34

− 22,876.323

45,820.646

46,013.504

45,905.482

0.822

< 0.01

< 0.001

34.03/51.35/14.62

4

44

− 22,658.253

45,404.507

45,654.09

45,514.294

0.780

< 0.01

< 0.001

5.73/40.50/24.02/29.75

5

54

− 22,465.18

45,038.36

45,344.664

45,173.10

0.812

< 0.05

< 0.001

24.53/3.45/39.62/26.91/5.49

  1. Log(L) log likelihood, K number of estimated parameters, AIC akaike information criterion, BIC Bayesian information criterion, aBIC adjusted BIC, LMR Lo-Mendel-Rubin likelihood ratio test, BLRT Bootstrap likelihood ratio test