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Table 3 The summaries of model comparison of latent profile models at both T0 and T2

From: Interpersonal predictors of loneliness in Japanese children: variable- and person-centered approaches

Model

df

AIC

BIC

aBIC

∆LR

p

T0: Baseline

      

  One-profile model

10

12,103.91

12,153.72

12,121.96

  

  Two-profile model

16

9253.27

9332.96

9282.14

2862.65

< .001

  Three-profile model

22

7741.47

7851.34

7781.47

1523.51

< .001

T2

      

  One-profile model

10

12,155.41

12,205.17

12,173.41

  

  Two-profile model

16

8615.42

8695.04

8644.22

3551.99

< .001

  Three-profile model

22

7141.72

7251.20

7181.33

1485.69

< .001

  1. AIC = Akaike’s information criterion. BIC = Bayesian information criterion. aBIC = sample size adjusted BIC. ∆LR means difference of likelihood ratio between neighboring class models (i.e., comparing k − 1 and the k class models)