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Table 3 Fit statistics and classification coefficients for latent class analysis a

From: The COVID-19 pandemic’s intersectional impact on work life, home life and wellbeing: an exploratory mixed-methods analysis of Georgia women’s experiences during the pandemic

 

d

LL

BIC

SABIC

CAIC

AWE

BLRT p

VLMR-LRT p

BF

Ent-ropy

cmP

 

1 Class

32

-6914.01

14021.54

13919.99

13944.06

13960.06

-

-

0.000

-

0.000

2 Classes

65

-6285.78

12964.64

12758.37

12807.27

12839.77

< 0.001

< 0.001

0.000

0.899

0.000

3 Classes

98

-6095.32

12783.29

12472.30

12546.02

12595.02

< 0.001

0.008

0.005

0.884

0.049

4 Classes

131

-5943.47

12678.68

12262.97

12361.99

12427.49

< 0.001

0.148

3.244

0.887

0.455

5 Classes

164

-5855.23

12702.22

12181.79

12305.18

12387.18

< 0.001

0.577

-

0.885

0.484

6 Classes

197

-

-

-

-

-

-

-

-

-

-

7 Classes

230

-

-

-

-

-

-

-

-

-

-

  1. Note. d = number of parameters; LL = log-likelihood; BIC = Bayesian Information Criterion; SABIC = Sample size adjusted BIC; CAIC = Consistent Akaike Information Criterion; AWE = Approximate Weight of Evidence Criterion; VLRM-LRT = Vuong-Lo-Mendell-Rubin adjusted likelihood ratio test; p = p-value; BF = Bayes Factor; cmP = correct model probability. Bold values indicate superior fit for each statistic
  2. a Based on a population of N = 423 individuals assigned female at birth; n = 3 identify as non-binary while the remainder identify as female