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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.

Versions across snapshots

VersionRepositoryFileSize
1.1.3 rolling linux/jammy R-4.5 RSCAT_1.1.3.tar.gz 346.6 KiB
1.1.3 rolling linux/noble R-4.5 RSCAT_1.1.3.tar.gz 346.6 KiB
1.1.3 rolling source/ R- RSCAT_1.1.3.tar.gz 348.2 KiB
1.1.3 latest linux/jammy R-4.5 RSCAT_1.1.3.tar.gz 346.6 KiB
1.1.3 latest linux/noble R-4.5 RSCAT_1.1.3.tar.gz 346.6 KiB
1.1.3 latest source/ R- RSCAT_1.1.3.tar.gz 348.2 KiB
1.1.3 2026-04-26 source/ R- RSCAT_1.1.3.tar.gz 348.2 KiB
1.1.3 2026-04-23 source/ R- RSCAT_1.1.3.tar.gz 348.2 KiB
1.1.3 2026-04-09 windows/windows R-4.5 RSCAT_1.1.3.zip 347.1 KiB
1.1.3 2025-04-20 source/ R- RSCAT_1.1.3.tar.gz 348.2 KiB

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