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Table 2 Indicators of model fit in the Latent Class Growth Analysis a (N = 1356)

From: Family income trajectory during childhood is associated with adiposity in adolescence: a latent class growth analysis

Classes

BICb

Entropyc

LMRd

1

17090.729

N/A

N/A

2

11378.546

0.91

p < .0001

3

10602.813

0.845

p < .0001

4

10383.154

0.83

p = .2257

5 e

10230.973

0.781

p = .0001

6

10191.308

0.76

p = .0037

7

10178.467

0.761

p = .0577

  1. a Latent class growth analysis is a person-centered approach that aims to classify individuals into groups based on individual response patterns.
  2. b BIC = Bayesian Information Criterion; lower values suggest better model fit
  3. c Entropy values close to 1 are desirable.
  4. d LMR = Lo, Mendel, Rubin statistic; the emergence of a non-significant LMR suggests that the preceding model with one fewer class may be preferred.
  5. e The 5-class model was chosen as the final version of the trajectory model, and the corresponding classes were utilized in all subsequent analyses.