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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Detalles Bibliográficos
Autores principales: Zheng, Chanjin, Meng, Xiangbin, Guo, Shaoyang, Liu, Zhengguang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Psychology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5760556/
https://www.ncbi.nlm.nih.gov/pubmed/29354089
http://dx.doi.org/10.3389/fpsyg.2017.02302

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5760556/
https://www.ncbi.nlm.nih.gov/pubmed/29354089
http://dx.doi.org/10.3389/fpsyg.2017.02302

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