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  • Адаптация и валидизация шкалы разрывов идентичности в коммуникации М.Л. Хехта и И. Юнг
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September 11, 2026
How to Assess Students Knowledge in the Age of AI
A researcher at HSE University has proposed a flowchart to help lecturers decide how to assess students who use artificial intelligence. It shows where the use of AI should be restricted and where it can be incorporated into the learning process. The article has been published in IT Professional.
September 9, 2026
‘Balkan Hospitality Opens Doors: Studying Dialects on the Verge of Extinction
You cannot study spoken dialects from books. Instead, you need to go to a village, seek out its elders, and earn the trust of local residents before you can record hours of spontaneous stories. This is how Natalia Muravleva, Associate Professor at the Faculty of Humanities, conducts her research. Her internship in Serbia continued her long-standing study of dialects spoken by Macedonian settlers. In this interview, she discusses how diaspora cultural centres help researchers reach informants, why native speakers need to be interviewed only in their own language (otherwise, as she puts it, they may 'break'), and how a single field season helped her finalise her monograph. She also shares warm memories of autumn in Belgrade and of colleagues with whom grammar can be discussed in three languages at once.
September 9, 2026
Scientists Train Neural Network to Generate Process Plans from 3D Models
Researchers at the HSE FCS AI and Digital Science Institute have developed CAD2TechSpec, a framework that converts 3D models of mechanical parts into machining process plans—step-by-step instructions for machine tools. The solution aims to reduce the time required for the design and preparation of technical process documentation in mechanical engineering, aircraft manufacturing, and other high-tech industries. The study findings have been published in PeerJ Computer Science.

 

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Адаптация и валидизация шкалы разрывов идентичности в коммуникации М.Л. Хехта и И. Юнг

Социальная психология и общество. 2025. Т. 16. № 4. С. 186–203.
Bultseva M. A., Vasilieva E., Трифонова А. В.

Context and relevance. The Identity Gap Scale in Communication developed by M.L. Hecht and E. Jung is used by specialists in studies of interpersonal interaction in various fields, including intercultural and health communication. Objective. Adaptation into Russian and psychometric validation of a questionnaire that includes two scales — the Personal-Enacted Identity Gap Scale and the Personal-Relational Identity Gap Scale. Methods and materials. The questionnaire was translated into Russian using the forward and backward translation method, and then the Russian-language formulations were tested during cognitive interviews using the verbal probing method. The results of the socio-psychological survey (n = 481, age 18 to 71, M = 38,69, SD = 11,96) were tested using confirmatory factor analysis and other tests to assess the empirical structure of the data, reliability, and validity of the scales. Results. Based on the test results, the questionnaire can be considered a reliable and valid tool for measuring the severity of gaps between personal and presented, as well as personal and relational identities. Conclusions. Identity Gap Scale in Communication is reliable and valid instrument with practical significance as both a research tool and for diagnosis and assessment of the effectiveness of interventions aimed at reducing identity gaps, including within the framework of psychotherapy, coaching, or crisis communication.

Research target: Psychology
Language: Russian
DOI
Keywords: идентичностькоммуникацияcommunicationidentityidentity gapsразрывы идентичности
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