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.

Getting started

Package details

AuthorBingnan Jiang [aut, cre], ACT, Inc. [cph]
MaintainerBingnan Jiang <>
LicenseCC BY-NC 4.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the RSCAT package in your browser

Any scripts or data that you put into this service are public.

RSCAT documentation built on Oct. 12, 2021, 5:06 p.m.