Bivariate Latent Change Score Models in Small Sample Context: Maximum Likelihood Vs. Bayesian Estimation

This study compared the performance of Bayesian methods versus maximum likelihood estimates within the context small sample sizes for bivariate  latent change score model. The findings suggest that Bayesian estimation generally outperforms Maximum Likelihood estimation in terms of convergence, and exhibits lower variability and bias in standard errors.