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Table 3 Fit statistics: 2–7 class models with parameter restrictions specifying means of 0.5 and −0.5

From: A framework for characterizing heterogeneity in neurodevelopmental data using latent profile analysis in a sample of children with ADHD

No. of classes

Parameters

Modes

Start values ending at top mode

LL

AIC

BIC

Entropy

2

8

1

100%

−1112.56

2241.125

2263.425

0.90207

3

16

1

100%

−1100.26

2232.511

2277.111

0.891765

4

24

2

77%

−1087.21

2222.418

2289.317

0.898637

5

32

6

57%

−1072.99

2209.973

2299.172

0.875514

6

40

17

80%

−1064.48

2208.956

2320.455

0.789589

7

48

33

0.8%

−1055.85

2207.702

2341.502

0.79027

  1. LL loglikelihood, AIC Akaike information criterion, BIC Bayesian information criterion