projectCAT: A Shiny Application for Computerized Adaptive Testing with Sympson-Hetter Exposure Control, Content Balancing, and Item Selection Method Comparison

Amran Hapsan, Endang Mulyatiningsih, Kana Hidayati, Indriani H. Ismail, Muhammad Andhika, Sutan Syahrir, Dyah Metianing, Maria Angelina Fransiska Mbari, Educational Research and Evaluation, State University of Yogyakarta, Fakultas Tarbiyah dan Keguruan, Institut Agama Islam DDI Sidenreng Rappang, South Sulawesi, Educational Science, State University of Makassar

Applied Psychological Measurement

Published online on August 17, 2026

Abstract

Applied Psychological Measurement, Ahead of Print.
projectCATis an open-source R Shiny application providing a complete, code-free computerized adaptive testing (CAT) simulation environment. It integrates IRT calibration (1PL, 2PL, 3PL via marginal maximum likelihood), three adaptive item selection ...