Multidimensional Adaptive Competence Testing (MAT)

The project “Multidimensional adaptive competence testing” investigated basic questions that need to be answered prior to implementing multidimensional adaptive tests (MAT) in large-scale assessments such as PISA or the assessments of the German educational standards. MAT is a specific way of testing that makes it possible to simultaneously assess several dimensions, in which the selection of the presented test items is based on the previous responses of the examinee. The project was part of the DFG (German Research Foundation) priority program “Competence Models for Assessing Individual Learning Outcomes and Evaluating Educational Processes” (Kompetenzmodelle zur Erfassung individueller Lernergebnisse und zur Bilanzierung von Bildungsprozessen).

This project was conducted at the Leibniz Institute for Science and Mathematics Education at Kiel University and the Friedrich Schiller University Jena and resulted in 3 special issues of scientific journals, 18 papers, 3 chapters in edited volumes, the computer software MATE, 1 dissertation, several master and diploma theses, as well as over 50 presentations given at conferences.


Project assistants in Jena:

Dr. Nicki-Nils Seitz

Dissertation: Two classification methods for multidimensional adaptive testing

Prize awarded: Dipl.-Psych. Remo Kamm received the diploma/master degree thesis prize from the section Methods & Evaluation of the German Psychological Society (DGPs) for his thesis entitled Testlet-based Multidimensional Adaptive Testing.


Cooperating partners:

Dr. Ulf Kröhne, German Institute for International Educational Research (DIPF), Frankfurt, Germany


Duration: November 2007 — June 2014


For further information please visit the homepage of the project.