A Study of the Application of Maximum Likelihood Estimation in Psyhcometric — Taking MRMLC for example

摘要

Maximum likelihood estimation (MLE) has been widely used in Psychologetric for estimating the parameters of the psychometric model. In this study, the author designs the one-off method and respective method to estimate the parameters of the ability taking for the MRMLC. The kernel algorithm of the two methods is MLE. The results of the simulation study show that the accuracy and stability with the one-off method are better than that of the respective method.