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Table 2 Model fit statistics for growth mixture models with increasing number of trajectory classes

From: Self-regulation facets differentially predict internalizing symptom trajectories from middle childhood to early adolescence: a longitudinal multimethod study

 

AIC

BIC

aBIC

Entropy

Smallest n

1 class

13289.11

13331.36

13305.95

 

1453

2 classes

13009.12

13067.21

13032.27

0.82

255

3 classes

12842.10

12916.04

12871.57

0.81

124

4 classes

12770.70

12860.49

12806.48

0.77

59

5 classes

12725.53

12831.16

12767.63

0.79

24

6 classes

12672.87

12794.34

12721.28

0.72

30

7 classes

12627.05

12764.36

12681.49

0.77

8

  1. Note: For AIC (Akaike information criterion), BIC (Bayesian information criterion), and aBIC (sample-size adjusted BIC) lower values indicate better fitting models. For entropy higher values indicate better quality of class assignment. Smallest n refers to the class with the smallest number of participants.