optical: Optimal Item Calibration

The restricted optimal design method is implemented to optimally allocate a set of items that require calibration to a group of examinees. The optimization process is based on the method described in detail by Ul Hassan and Miller in their works published in (2019) <doi:10.1177/0146621618824854> and (2021) <doi:10.1016/j.csda.2021.107177>. To use the method, preliminary item characteristics must be provided as input. These characteristics can either be expert guesses or based on previous calibration with a small number of examinees. The item characteristics should be described in the form of parameters for an Item Response Theory (IRT) model. These models can include the Rasch model, the 2-parameter logistic model, the 3-parameter logistic model, or a mixture of these models. The output consists of a set of rules for each item that determine which examinees should be assigned to each item. The efficiency or gain achieved through the optimal design is quantified by comparing it to a random allocation. This comparison allows for an assessment of how much improvement or advantage is gained by using the optimal design approach. This work was supported by the Swedish Research Council (Vetenskapsr├ądet) Grant 2019-02706.

Version: 1.7.1
Depends: R (≥ 4.1.0)
Imports: stats
Published: 2023-05-25
Author: Mahmood Ul Hassan ORCID iD [aut, cre], Frank Miller ORCID iD [aut]
Maintainer: Mahmood Ul Hassan <scenic555 at gmail.com>
BugReports: https://github.com/scenic555/optical/issues
License: GPL (≥ 3)
URL: https://scenic555.github.io/optical/, https://github.com/scenic555/optical
NeedsCompilation: no
Language: en-GB
Materials: README
CRAN checks: optical results


Reference manual: optical.pdf


Package source: optical_1.7.1.tar.gz
Windows binaries: r-devel: optical_1.7.1.zip, r-release: optical_1.7.1.zip, r-oldrel: optical_1.7.1.zip
macOS binaries: r-release (arm64): optical_1.7.1.tgz, r-oldrel (arm64): optical_1.7.1.tgz, r-release (x86_64): optical_1.7.1.tgz


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