Table 2 Fit indices, entropy, and model comparisons for the estimated latent profile models.

From: Latent profiles of job demands and job resources and their association with work wellbeing among nurses in South Korea

Model

LL

#fp

Scaling

AIC

CAIC

BIC

SABIC

Entropy

aLMR

BLRT

1 Profile

− 868.90

4

1.039

1745.79

1766.22

1762.22

1749.52

   

2 Profiles

− 866.30

7

0.973

1746.60

1782.35

1775.35

1753.14

0.515

ns

ns

3 Profiles

− 854.21

10

1.108

1728.42

1779.49

1769.49

1737.75

0.775

< 0.05

< 0.001

4 Profiles

− 833.62

13

1.066

1693.24

1759.63

1746.63

1705.37

0.877

< 0.001

< 0.001

5 Profiles

− 822.41

16

1.121

1677.91

1759.62

1743.62

1692.84

0.879

ns

< 0.001

6 Profiles

− 806.12

19

0.974

1650.24

1747.28

1728.28

1667.98

0.915

< 0.001

< 0.001

  1. LL log-likelihood, fp number of free parameters, AIC Akaike information criterion, CAIC constant AIC, BIC Bayesian information criterion, SABIC sample size-adjusted BIC, aLMR adjusted Lo–Mendell–Rubin test, BLRT bootstrap likelihood ratio test.
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