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.
- Version1.1.3
- R version≥ 3.4.0
- LicenseCC BY-NC 4.0
- Needs compilation?No
- Last release10/12/2021
Documentation
Team
Bingnan Jiang
ACT, Inc.
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