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RSCAT  

Shadow-Test Approach to Computerized Adaptive Testing
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("RSCAT", "1.1.3")



Attach the package and use:
library("RSCAT")
Maintained by
Bingnan Jiang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-04-12
Latest Update: 2021-10-12
Description:
As an advanced approach to computerized adaptive testing (CAT), shadow testing (van der Linden(2005) ) dynamically assembles entire shadow tests as a part of selecting items throughout the testing process. Selecting items from shadow tests guarantees the compliance of all content constraints defined by the blueprint. 'RSCAT' is an R package for the shadow-test approach to CAT. The objective of 'RSCAT' is twofold: 1) Enhancing the effectiveness of shadow-test CAT simulation; 2) Contributing to the academic and scientific community for CAT research. RSCAT is currently designed for dichotomous items based on the three-parameter logistic (3PL) model.
How to cite:
Bingnan Jiang (2019). RSCAT: Shadow-Test Approach to Computerized Adaptive Testing. R package version 1.1.3, https://cran.r-project.org/web/packages/RSCAT. Accessed 06 Nov. 2024.
Previous versions and publish date:
1.0.0 (2019-04-12 10:32), 1.1.0 (2020-01-17 11:00), 1.1.1 (2021-05-08 23:50), 1.1.2 (2021-05-16 20:20)
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