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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...
Autores principales: | Zheng, Chanjin, Meng, Xiangbin, Guo, Shaoyang, Liu, Zhengguang |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2018
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Materias: | |
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 |
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