The concept of Decision Support System for psychological testing

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Abstract

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.

General Information

Keywords: Markov models, psychological testing, identification of Markov models, decision support system

Journal rubric: Psychological Diagnostics

Article type: scientific article

For citation: Kuravsky L.S., Margolis A.A., Yuryev G.A., Marmalyuk P.A. The concept of Decision Support System for psychological testing. Psikhologicheskaya nauka i obrazovanie = Psychological Science and Education, 2012. Vol. 17, no. 1, pp. 56–65. (In Russ., аbstr. in Engl.)

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Information About the Authors

Lev S. Kuravsky, Doctor of Engineering, professor, 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

Arkadiy A. Margolis, 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

Grigory A. Yuryev, PhD in Physics and Matematics, Associate Professor, Head of Department of the Computer Science Faculty, Leading Researcher, Youth Laboratory Information Technologies for Psychological Diagnostics, Moscow State University of Psychology and Education, Moscow, Russia, ORCID: https://orcid.org/0000-0002-2960-6562, e-mail: g.a.yuryev@gmail.com

Pavel A. Marmalyuk, PhD in Engineering, Head of the Laboratory of Psychology and Applied Software, Moscow State University of Psychology & Education, associate professor, Department of Information Technologies, Moscow State University of Psychology & Education, Moscow, Russia, e-mail: ykk.mail@gmail.com

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