A Monte Carlo simulation was performed to compare methods for handling missing data in growth mixture models. The considered the current study were (a) a fully Bayesian approach using Gibbs sampler, (b) full information maximum likelihood expectation–maximization algorithm, (c) multiple imputation, (d) two-stage imputation method, and (e) listwise deletion. Of five methods, it found that genera...
