Skip to main content

Table 2 Fit indices of latent class analysis on ADL subtypes

From: The activity of daily living (ADL) subgroups and health impairment among Chinese elderly: a latent profile analysis

Model

K

AIC

BIC

aBIC

Entropy

LMR

BLRT

Class Probability

1

28

182,235.96

182,431.98

182,343.02

–

–

–

1

2

43

120,223.44

120,524.47

120,387.83

0.97

0.023

<0.001

0.78/0.22

3

58

85,654.45

86,060.49

85,876.17

0.98

<0.001

<0.001

0.19/0.75/0.06

4

73

73,010.91

73,521.96

73,289.98

0.99

<0.001

<0.001

0.18/0.75/0.04/0.03

5

98

60,971.16

61,587.22

61,307.57

0.98

<0.556

<0.001

0.18/0.62/0.13/0.04/0.02

  1. K freedom of model, AIC Akaike Information Criterion, BIC Bayesian Information Criterion, aBIC adjusted Bayesian Information Criterion, LMR Lo-Mendell-Rubin likelihoodratio test; BLRT Bootstraplikelihood ratio test
Back to article page

BMC Geriatrics

ISSN: 1471-2318

Contact us