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Table 2 Fitness indicators of different latent profiles

From: Use of latent profile analysis and k-means clustering to identify student anxiety profiles

Models

AIC

BIC

aBIC

Entropy

LMR, p value

BLRT, p value

Mixing ratios

1-class

161,370.347

161,485.288

161,434.442

2-class

140,064.098

140,243.693

140,164.246

0.851

0.000

0.000

59.191%/40.809%

3-class

130,728.595

130,972.844

130,864.797

0.911

0.000

0.000

38.129%/29.513%/32.358%

4-class

128,706.354

129,015.257

128,878.610

0.848

0.000

0.000

20.384%/32.050%/17.396%/30.170%

5-class

122,801.884

123,175.441

12,301.193

0.945

0.000

0.000

24.502%/30.304%/13.216%/12.569%/19.409%

  1. Abbreviations: AIC Akaike information criterion, BIC Bayesian information criterion, aBIC adjusted Bayesian information criterion, LMR Lo-Mendell-Rubin, BLRT bootstrap likelihood ratio test