Shadow-Test Approach to Computerized Adaptive Testing

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.


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install.packages("RSCAT")

1.0.0 by Bingnan Jiang, 6 months ago


Report a bug at https://github.com/act-org/RSCAT/issues


Browse source code at https://github.com/cran/RSCAT


Authors: Bingnan Jiang [aut, cre] , ACT , Inc. [cph]


Documentation:   PDF Manual  


CC BY-NC 4.0 license


Imports Metrics, ggplot2, gridExtra, grid, methods, stats, utils

Depends on rJava, shiny, shinycssloaders, shinyjs

Suggests testthat


See at CRAN