K-Fold Cross Validation in Latent Profile Analysis

Grimm, Mazza and Davoudzadeh (2017) propose k-folds cross validation and the distribution of the -2 log-likelihood to determine the optimal number of classes in a growth mixture model. This study applies this approach to latent profile analyses. Mixed results suggest k-folds cross validation requires further investigation to examine its utility.