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optical  

Optimal Item Calibration
View on CRAN: Click here


Download and install optical package within the R console
Install from CRAN:
install.packages("optical")

Install from Github:
library("remotes")
install_github("cran/optical")

Install by package version:
library("remotes")
install_version("optical", "1.7.1")



Attach the package and use:
library("optical")
Maintained by
Mahmood Ul Hassan
[Scholar Profile | Author Map]
First Published: 2023-05-25
Latest Update: 2023-05-25
Description:
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) and (2021) . 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
How to cite:
Mahmood Ul Hassan (2023). optical: Optimal Item Calibration. R package version 1.7.1, https://cran.r-project.org/web/packages/optical. Accessed 11 May. 2025.
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