RSCAT: Shadow-Test Approach to Computerized Adaptive Testing

As an advanced approach to computerized adaptive testing (CAT), shadow testing (van der Linden(2005) <doi:10.1007/0-387-29054-0>) 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.

Version: 1.1.3
Depends: R (≥ 3.4.0), rJava, shiny, shinycssloaders, shinyjs
Imports: Metrics, ggplot2, gridExtra, grid, methods, stats, utils
Suggests: testthat
Published: 2021-10-12
DOI: 10.32614/CRAN.package.RSCAT
Author: Bingnan Jiang [aut, cre], ACT, Inc. [cph]
Maintainer: Bingnan Jiang <bnjiangece at>
License: CC BY-NC 4.0
NeedsCompilation: no
Materials: README
CRAN checks: RSCAT results


Reference manual: RSCAT.pdf


Package source: RSCAT_1.1.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): RSCAT_1.1.3.tgz, r-oldrel (arm64): RSCAT_1.1.3.tgz, r-release (x86_64): RSCAT_1.1.3.tgz, r-oldrel (x86_64): RSCAT_1.1.3.tgz
Old sources: RSCAT archive


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