Diagnostics basing on testing paths: the method of patterns

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Abstract

Presented is the method of patterns to diagnose subjects basing on testing paths which represent results of completion of tasks in the order of their appearance. This method allows solving diagnostics tasks having limited observation results, building diagnostics conclusions only relying on the analysis of accumulated empirical data and changing adaptively both the number of presented testing tasks and their content to attain the given level of diagnostic assessment reliability.

General Information

Keywords: diagnostics of cognitive capabilities, diagnostics of operators of complex engineering systems, adaptive testing, IRT, method of patterns

Journal rubric: Mathematical Psychology

Article type: scientific article

DOI: https://doi.org/10.17759/exppsy.2018110206

For citation: Kuravsky L.S., Yuryev G.A., Ushakov D.V., Yuryeva N.E., Valueva E.A., Lapteva E.M. Diagnostics basing on testing paths: the method of patterns. Eksperimental'naâ psihologiâ = Experimental Psychology (Russia), 2018. Vol. 11, no. 2, pp. 77–94. DOI: 10.17759/exppsy.2018110206. (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

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

Dmitry V. Ushakov, Doctor of Psychology, Head of the Scientific and Educational Center for Social Competencies and Intelligence, Moscow State University of psychology and education (MSUPE), First Vice-President of Eurotalent, Head of the Center for Research and Development of Giftedness, Moscow University of Psychology and Education, Moscow, Russia, e-mail: dv.ushakov@gmail.com

Nataliya E. Yuryeva, PhD in Engineering, Head of Laboratory, Youth Laboratory Information Technologies for Psychological Diagnostics, Research Fellow, Information Technology Center for Psychological Studies of the Computer Science Faculty, Moscow State University of Psychology and Education, Moscow, Russia, ORCID: https://orcid.org/0000-0003-1419-876X, e-mail: yurieva.ne@gmail.com

Ekaterina A. Valueva, PhD in Psychology, Research Fellow, The Laboratory of the Psychology and Psychophysiology of Creativity, Institute of Psychology of RAS, Leading Research Fellow, Center of Applied Psychological and Pedagogical Studies, Moscow State University of Psychology & Education, Moscow, Russia, ORCID: https://orcid.org/0000-0003-3637-287X, e-mail: ekval@list.ru

Ekaterina M. Lapteva, PhD in Psychology, Researcher, Laboratory for Psychology and Psychophysiology of Creativity, Institute of Psychology of RAS, Moscow, Russia, ORCID: https://orcid.org/0000-0002-3051-6492, e-mail: ek.lapteva@gmail.com

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