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The concept of Decision Support System for psychological testing 892
Kuravsky L.S. Doctor of Engineering, Dean of the Computer Science Faculty , Moscow State University of Psychology and Education , Moscow, Russia ORCID: https://orcid.org/0000-0002-3375-8446 e-mail: l.s.kuravsky@gmail.com Margolis A.A. PhD in Psychology, Rector, Professor, Chair of Pedagogical Psychology, Moscow State University of Psychology & Education, Moscow, Russia ORCID: https://orcid.org/0000-0001-9832-0122 e-mail: margolisaa@mgppu.ru Yuriev G.A. PhD in Physics and Matematics, Programmer, Chair of Applied Computer Informatics, Information Technologies Faculty, Moscow State University of Psychology and Education, Moscow, Russia e-mail: g.a.yuryev@gmail.com Marmalyuk P.A. PhD in Engineering, Head of the Laboratory of Psychology and Applied Software, Moscow State University of Psychology & Education, Moscow, Russia e-mail: ykk.mail@gmail.com
The concept of a decision support system designed to optimize the order of tasks during psychological testing and based on trained continuous-time Markov models is presented. Diagnostic conclusions are derived using probabilistic estimates of being in different subject’s classes. These estimates are improved during testing procedure. Selection of a regular task is carried out for each subject individually, with previous testing outcome and forecasting the discriminating fineness of future tasks being in use.
Keywords: Markov models, psychological testing, identification of Markov models, decision support system
Column: Psychological Diagnostics
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