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  Previous issue (2022. Vol. 15, no. 1)


Experimental Psychology (Russia)

Publisher: Moscow State University of Psychology and Education

ISSN (printed version): 2072-7593

ISSN (online): 2311-7036


License: CC BY-NC 4.0

Published since 2008

Published quarterly

Free of fees
Open Access Journal


Probabilistic method of filtering artifacts in adaptive testing 1079


Kuravsky L.S.
Doctor of Engineering, Dean of the Computer Science Faculty, Moscow State University of Psychology and Education, Moscow, Russia

Yuryev G.A.
PhD in Physics and Matematics, Associate Professor, Head of Scientifi c Laboratory, Moscow State University of Psychology and Education, Moscow, Russia

In this article we present a method of filtering the results of adaptive testing, built on the use of structures in the form of Markov models with continuous time. The elimination of artifacts caused by various forms of incorrect direct intervention in the procedure of testing is performed on the basis of comparison of the observed and the predicted results of the answers to the questions using the Kalman filter, adapted for the solution of the considered problem.

Keywords: adaptive testing, Markov models, Kalman filter

Column: Mathematical Psychology

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A Part of Article


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