Shadow-Test Approach to Computerized Adaptive Testing R package RSCAT version 1.1.3 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. Software Depends: R (>= 3.4.0), rJava, shiny, shinycssloaders, shinyjs Imports: Metrics, ggplot2, gridExtra, grid, methods, stats, utils Suggests: testthat Bingnan Jiang <bnjiangece@gmail.com> Comprehensive R Archive Network (CRAN) Bingnan Jiang [aut, cre], ACT, Inc. [cph] CC BY-NC 4.0 2021-10-12 application/tgz https://CRAN.R-project.org/package=RSCAT doi:10.32614/CRAN.package.RSCAT