RSCAT: Shadow-Test Approach to Computerized Adaptive Testing
Bingnan Jiang · 2019
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. RSCAT is currently designed for dichotomous items based on the three-parameter logistic (3PL) model.