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. 2023 Oct 23;13:328. doi: 10.1038/s41398-023-02603-2

Table 2.

Fit indices for latent growth mixture models (LGMM) for psychopathological symptoms, COVID-19-related rumination, and stress-related growth.

Class number Max LL AIC SSBIC Entropy BLRT p % smallest class
Psychopathological symptoms (linear slopes)
1 −26879.34 53782.69 53806.38
2 −25994.30 52024.60 52060.13 0.76 <0.001 33.6%
3 −25776.24 61600.48 51647.86 0.73 <0.001 20.9%
4* −25706.15 51472.31 51531.53 0.69 <0.001 16.7%
5 −25690.03 51452.06 51523.13 0.73 0.267 2.0%
COVID-19-related rumination (linear slopes)
1 −23634.14 47290.27 47311.99
2 −23276.22 46586.44 46674.00 0.77 <0.001 47.7%
3 −23076.20 46198.40 46243.80 0.73 <0.001 12.2%
4* −23004.74 46067.48 46124.73 0.72 <0.001 10.4%
5a −22981.87 46033.75 46102.85 0.64 <0.001 10.3%
6a −22968.30 46018.60 46099.54 0.61 0.118 10.3%
Stress-related growth (quadratic and linear slopes)
1 −20979.81 41987.63 42015.27
2* −20807.57 41663.14 41710.52 0.45 <0.001 17.7%
3 −20786.94 41641.87 41709.00 0.47 0.667 8.7%
4 −20807.57 41703.14 41790.00 0.73 1.00 <1%
5a −20703.38 41514.75 41621.36 0.64 <0.001 2.0%

% smallest class = percentage of respondents in the smallest class.

Max LL maximized log likelihood value, AIC Akaike information criteria, SSBIC sample-size-adjusted Bayesian information criterion, BLRT parametric bootstrapped likelihood ratio test.

*Selected model.

aProblems with model convergence.