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  "Title": "Optimal Item Calibration",
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  "Date": "2024-11-30",
  "Description": "The restricted optimal design method is implemented to\noptimally allocate a set of items that require calibration to a\ngroup of examinees. The optimization process is based on the\nmethod described in detail by Ul Hassan and Miller in their\nworks published in (2019) <doi:10.1007/s11336-019-09673-6> and\n(2021) <doi:10.1016/j.csda.2021.107177>. To use the method,\npreliminary item characteristics must be provided as input.\nThese characteristics can either be expert guesses or based on\nprevious calibration with a small number of examinees. The item\ncharacteristics should be described in the form of parameters\nfor an Item Response Theory (IRT) model. These models can\ninclude the Rasch model, the 2-parameter logistic model, the\n3-parameter logistic model, or a mixture of these models. The\noutput consists of a set of rules for each item that determine\nwhich examinees should be assigned to each item. The efficiency\nor gain achieved through the optimal design is quantified by\ncomparing it to a random allocation. This comparison allows for\nan assessment of how much improvement or advantage is gained by\nusing the optimal design approach. This work was supported by\nthe Swedish Research Council (Vetenskapsrådet) Grant\n2019-02706.",
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  "Author": "Mahmood Ul Hassan [aut, cre]\n(<https://orcid.org/0000-0003-2889-0263>), Frank Miller [aut]\n(<https://orcid.org/0000-0003-4161-7851>)",
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