Sample Size Planning for Latent Change Score Models through Monte Carlo Simulation

Latent change score models offer a powerful tool for longitudinal data analysis but here is little discussion on the design issues such as sample size planning. To fill the gap, this study proposes a Monte Carlo based method to determine the required sample size for both univariate and bivariate LCSMs.