Researcher at the department of Research Methodology, Measurement and Data Analysis, faculty of Behavioural, Management and Social sciences.
Development and support of multidimensional computerized adaptive testing engine (ShadowCAT), in cooperation with various external partners.
Use of video data to predict and categorize apnea events in pre-term neo-natal infants, utilizing Euclidian and phase-based motion enhancement techniques.
Researcher at Datalab, Institute for Innovation and Governance Studies, University of Twente.
Research and support for data management for faculty and staff, including the production of a booklet on data management and a templating tool for the quick creation of data management plans.
Second-line support and maintenance for the LimeSurvey survey server.
Research Master in Methodology and Statistics for the Behavioural, Biomedical and Social Sciences.
Graduated cum laude in multidimensional computerized adaptive testing.
Bachelor in European Studies.
Graduated with an average grade of 8 (out of 10).
Karel A. Kroeze, Cees A. W. Glas & Bernard P. Veldkamp (2016). Constrained Multidimensional Computerized Adaptive Testing with Polytomously scored items, submitted for publication.
Muirne C. S. Paap, Lonneke I. M. Lenferink, Nadine Herzog, Karel A. Kroeze, Job van der Palen (2016). A newly developed disease-specific item bank to measure health-related quality of life in patients with Chronic Obstructive Pulmonary Disease, submitted for publication.
Karel A. Kroeze (2015). Multidimensional computerized adaptive testing with the shadow testing procedure; implementation and challenges. RCEC Workshops, October 5-6, Enschede
Allows simulation and live administration of Computer Adaptive tests. Options include; 4 models (3PLM, GPCM, GRM, SM), 3 estimators (ML, MAP, EAP), Fisher Information and Kullback-Leibler Distance based item selection, constraints, content balancing and exposure control with Shadow Testing.