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Table 2 Model fit indices for latent profile analysis

From: Latent profile analysis and influencing factors of quality of life in pregnant women with gestational diabetes mellitus

Profile

AIC

BIC

SABIC

Entropy

LMR

p-value

BLRT

p-value

Sample size by profile based on most likely membership

1

7013.205

7049.517

7017.808

1.000

  

1

2

6686.177

6744.277

6693.542

0.891

0.000

0.000

75.6%/24.4%

3

6640.473

6720.359

6650.599

0.731

0.147

0.000

20.8%/53.0%/26.2%

4

6605.765

6707.439

6618.653

0.815

0.849

0.000

2.9%/17.9%/20.8%/58.4%

5

6573.579

6697.040

6589.229

0.885

0.670

0.000

1.4%/15.1%/56.6%/5.4%/21.5%

  1. Note: AIC: Akaike Information Criterion; BIC: Bayesian Information Criterion; LMR: Lo–Mendell–Rubin Adjusted Likelihood Ratio Test; BLRT: Bootstrapped Likelihood Ratio Test; the bold row was the chosen model