A Comparison of Penalized Maximum Likelihood Estimation and Markov Chain Monte Carlo Techniques for Estimating Confirmatory Factor Analysis Models With Small Sample Sizes

@RensvdSchoot Indeed, this allows me to see that you were the editor of the paper from your editor in this same special issue: https://t.co/GUgHOY5zQT

小サンプルでの検証型分析においては、罰則付き最尤法やMCMCによって得られた事後分布の最頻値（MAP）よりも平均値（EAP）のほうが潜在相関の正確な推定値になる https://t.co/Q9mOJO1Iwn