The Dataset Generator available at Cogn-IQ.org is a powerful resource designed for researchers and practitioners working with Item Response Theory (IRT). This tool simulates datasets tailored for psychometric analysis, enabling users to explore a range of testing scenarios with customizable item and subject characteristics. It supports the widely used 2-Parameter …
Hyeon-Ah Kang’s 2023 article in Psychometrika introduces innovative methods for monitoring item parameters in psychometric testing. With the growing prevalence of online assessments, the stability and reliability of test items are paramount. This research focuses on sequential generalized likelihood ratio tests, a technique designed to track and evaluate shifts in …
Anselmi, Robusto, and Cristante (2023) propose a novel approach to improving Computerized Adaptive Testing (CAT) by integrating unidimensional test batteries. This method aims to enhance both the accuracy and efficiency of ability estimation by dynamically updating prior estimates with each test response. Background Computerized Adaptive Testing has been a widely …
Roozenbeek, Maertens, McClanahan, and van der Linden’s 2021 study examines the methodological factors affecting the effectiveness of the “Bad News” game, an intervention designed to combat misinformation online. The study explores how item and testing effects influence the intervention’s outcomes and assesses its role in building resilience against misinformation. Background …
