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Table 3 Model fit statistics for latent profile analyses

From: Identifying and predicting food parenting practice profiles among Canadian parents

K

LL

BIC

SABIC

AIC

CAIC

AWE

VLMR-LRTp

BLRTp

BF

cmP

Entropy

1

− 5095.77

10,265.06

10,230.13

10,213.54

10,234.47

10,239.97

0.00

0.00

2

− 4812.03

9777.77

9704.74

9670.06

9713.81

9725.31

0.314

< 0.001

0.00

0.00

0.621

3

− 4626.77

9487.46

9376.31

9323.54

9390.13

9407.63

0.005

< 0.001

0.11

0.04

0.713

4

− 4564.90

9443.91

9294.66

9223.79

9313.21

9336.71

0.409

< 0.001

1.24

0.39

0.683

5

− 4526.95

9448.22

9260.87

9171.90

9284.15

9313.65

0.029

< 0.001

1.49

0.31

0.737

6

−4490.83

9456.18

9230.71

9123.66

9258.74

9294.24

0.353

< 0.001

4.50

0.21

0.721

7

− 4465.76

9486.25

9222.68

9097.53

9255.44

9296.94

0.096

< 0.001

8.44

0.05

0.709

  1. K number of profiles, LL log-likelihood, BIC Bayesian information criterion, SABIC sample-size adjusted BIC, AIC Akaike information criterion, CAIC consistent AIC, AWE approximate weight of evidence criterion, p error probability, VLMR-LRT Vuong-Lo-Mendell-Rubin adjusted likelihood ratio test, BLRT bootstrapped likelihood ration test, BF Bayes factor, cmP correct model probability. Bolded values indicate best fit for each respective statistic