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Table 2 Best fit indices and predicted probability for the Latent Class Analysis of postpartum depression (PPD) cases

From: The PPD-ACT app in Canada: feasibility and a latent class analysis of participants with postpartum depression recruited to a psychiatric genetics study using a mobile application

 

Indicator of Fit

Predicted Probability of Membership

Number of latent classes

BIC

AIC

G2

X2

Class 1

Class 2

Class 3

Class 4

1

14,505.73

14,365.31

4749.673

7,553,077

0.3488

0.6512

2

13,739.31

13,453.78

3776.140

10,736,478

0.3689

0.3513

0.2798

3

13,704.63

13,273.99

3534.357

8,637,221

0.3036

0.3212

0.1593

0.2158

4

13,703.08

13,127.34

3325.701

3,295,150

0.2961

0.3074

0.1619

0.0853

  1. BIC Bayesian Information Criteria, AIC Akakie Information Criteria