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Table 4 Fit indices for the latent class analysis of the well-being factors

From: Well-being profiles in adolescence: psychometric properties and latent profile analysis of the mental health continuum model – a methodological study

 

AIC

BIC

SSA-BIC

Entropy

LMRT

p

2 class model

12,246.67

12,300.19

12,268.43

.751

1016.84

<.001

3 class model

11,969.19

12,044.13

11,999.65

.682

276.09

<.001

4 class model

11,895.67

11,992.02

11,934.83

.686

78.84

= .001

5 class model

11,830.52

11,948.27

11,878.38

.690

70.75

= .193

  1. AIC Akaike Information Criteria, BIC Bayesian Information Criteria, SSA-BIC Sample Size Adjusted Bayesian Information Criteria, LRT Lo-Mendel-Rubin Adjusted Likelihood Ratio Test
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Health and Quality of Life Outcomes

ISSN: 1477-7525

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