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Marginalized Maximum Likelihood Estimation for the 1PL-AG IRT Model
Marginal maximum likelihood estimation based on the expectation–maximization algorithm (MML/EM) is developed for the one-parameter logistic model with ability-based guessing (1PL-AG) item response theory (IRT) model. The use of the MML/EM estimator is cross-validated with estimates from NLMIXED proc...
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| 出版年: | Appl Psychol Meas |
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| 主要な著者: | , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
SAGE Publications
2015
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5978613/ https://ncbi.nlm.nih.gov/pubmed/29881018 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/0146621615574694 |
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