Skip to main content

Table 4 Fit statistics for different latent class models

From: Sociodemographic aspects and health care-related outcomes: a latent class analysis of informal dementia care dyads

Class

1

2

3

4

5

6

7

Log-Lik (LL)

− 3460

− 2946

− 2773

− 2743

− 2711

− 2682

− 2672

BIC (LL)

7015

6031

5730

5713

5693

5679

5704

Entropy Scorea

1.00

0.99

0.99

0.88

0.87

0.87

0.85

LRT (bootstrap-p-value)b

0.00

0.00

0.00

0.00

0.00

0.04

  1. aEntropy Score: This value indicates how distinctly the dyads can be assigned to the classes. The closer the value is to 1, the better the model fit
  2. b LRT: Likelihood ratio test for the model l with C classes vs. model with C-1 classes