LCA analysis
To identify the best-fitting model for LCA (i.e. between 1-5 models), we
chose the minimum adjusted Bayesian Information Criteria
(aBIC)25,26 as this is known to be more robust with
smaller datasets (<400 participants) than Bayesian Information
Criterion (BIC)26,27 and Akaike’s Information
Criterion (AIC)26,28. Entropy R2 was
used as the second criterion to determine the separation between the
models using the highest value between models29.