Expectation-Maximization-Maximization: A Feasible MLE Algorithm for the Three-Parameter Logistic Model Based on a Mixture Modeling Reformulation

Expectation-Maximization-Maximization: A Feasible MLE Algorithm for the Three-Parameter Logistic Model Based on a Mixture Modeling Reformulation

Stable maximum likelihood estimation (MLE) of item parameters in 3PLM with a modest sample size remains a challenge. The current study presents a mixture-modeling approach to 3PLM based on which a feasible Expectation-Maximization-Maximization (EMM) MLE algorithm is proposed. The simulation study in...

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Bibliographic Details
Main Authors: Chanjin Zheng, Xiangbin Meng, Shaoyang Guo, Zhengguang Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-01-01
Series:Frontiers in Psychology
Subjects:
EMM
Bayesian EM
MLE
mixture modeling
3PL
Online Access:http://journal.frontiersin.org/article/10.3389/fpsyg.2017.02302/full

Internet

http://journal.frontiersin.org/article/10.3389/fpsyg.2017.02302/full

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