Your privacy, your choice

We use essential cookies to make sure the site can function. We also use optional cookies for advertising, personalisation of content, usage analysis, and social media.

By accepting optional cookies, you consent to the processing of your personal data - including transfers to third parties. Some third parties are outside of the European Economic Area, with varying standards of data protection.

See our privacy policy for more information on the use of your personal data.

for further information and to change your choices.

You are viewing the site in preview mode

Skip to main content

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