Computerized Adaptive Testing: From Concept to Implementation

＂CAT is the use of artificial intelligence and machine learning to create a test unique to each person in real time. CAT: From Concept to Implementation is designed to take you from your initial decision to implement a CAT through each step in the process of fielding a CAT that will provide its benefits both to your examinees and to your organization. It describes how CATs are developed, and how they are implemented using current advanced psychometric methods＂--

David J. Weiss, PhD, is Professor of Psychology at the University of Minnesota. Widely regarded as the father of computerized adaptive testing (CAT), he began his CAT research and founded the Quantitative and Psychometric Methods program at the University of Minnesota in 1970. His subsequent research provided the basis for the development of the CAT version of the Armed Services Vocational Aptitude Battery and a variety of other CAT implementations, including in education, nursing licensure, and personality measurement. Dr. Weiss has been active in CAT research continuously and has trained many leading CAT researchers and implementers. He was the founding editor of the journal Applied Psychological Measurement, and is co-founder and permanent President Emeritus of the International Association for Computerized Adaptive Testing (IACAT). He was the founding editor of IACAT’s official journal, the Journal of Computerized Adaptive Testing. Dr. Weiss also co-founded Assessment Systems Corporation and the Insurance Testing Corporation. He is a Fellow of the American Educational Research Association and the American Psychological Association.

Alper Şahin, PhD, is Chairperson of the Department of Basic English at Atilim University in Ankara, Türkiye, and Director of Education for the International Association for Computerized Adaptive Testing. He conducted his postdoctoral research on computerized adaptive testing (CAT) with David J. Weiss at the University of Minnesota. Dr. Sahin’s research interests include sample size requirements in item parameter estimation using item response theory, measurement accuracy in foreign language tests, use of asymmetric rubrics in performance assessment, and item-bank design features in CAT applications.