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  • Адаптация методики диагностики развития карьеры: шкала «Карьерная вовлеченность»
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June 4, 2026
Machine Learning Models Can Help Reduce Volatility and Boost Stock Market Returns
The use of machine learning models makes it possible to achieve greater accuracy in predicting risks in the Russian stock market compared to classical econometric approaches. The predictive power of these models increases by 23%, while the average investor’s return can reach up to 13% per annum. These conclusions were drawn by Nikita Lysenok from the Department of Financial Market Infrastructure at the HSE Faculty of Economic Sciences. The paper has been published in Fundamental and Applied Mathematics.
June 3, 2026
Pocket Money, Personal Interest, and Family Practices: What Shapes Students Economic Literacy?
University students' economic literacy depends not only on their field of study but also on their interest in economics, the learning environment, and family financial practices. For example, students who received pocket money irregularly tend to perform better on economic literacy tests than their peers who received financial support on a regular basis. These findings come from a study conducted by HSE University involving more than 1,100 students from five Russian universities. The findings have been published in Cakrawala Pendidikan.
June 3, 2026
Creative Work as a Remedy for Burnout
The creative, supportive atmosphere and innovative methods at the Centre for Sociocultural Research make it appealing to early-career scholars. Over years of working at HSE University, they grow into researchers and lecturers recognised both in Russia and abroad. Chief Research Fellow Zarina Lepshokova and Leading Research Fellow Ekaterina Bushina spoke about their journey at the centre and at HSE, their research, and the role of mentors in their academic success.

 

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Адаптация методики диагностики развития карьеры: шкала «Карьерная вовлеченность»

Социальная психология и общество. 2026. Т. 17. № 1. С. 146–165.
Volkova N., Бордунос А. К., Чикер В. А.

Context and relevance. The article is devoted to the adaptation of the Career Engagement Scale for the Russian context. The theoretical basis of the study is the concept of person-vocation fit, which represents one of the levels of person-environment fit.
Objective. To adapt the Career Engagement scale for Russian representation.
Hypothesis. The hypothesis of the best fit of the single-factor approach for the Career Engagement scale of the Russian representation was tested.
Methods and materials. The methodology included exploratory and confirmatory factor analysis on two samples: university and college students (n = 481) and employees of organisations (n = 1000).
Results. The results revealed a three-factor scale structure (“Career planning”, “Career networking”, “Career self-development”), confirmed in both samples. The obtained scale structure is consistent with the data of preliminary studies but differs from the one-factor approach proposed by the authors of the original questionnaire (A. Hirschi, P.A. Freund, A. Herrmann). The adapted 10-item scale demonstrated high reliability and validity, supported by correlations with positive affect, resilience, self-esteem, and trust.
Conclusions. A reliable and valid psychodiagnostics tool has been added to the methodological arsenal of practical psychologists. The adapted questionnaire can become a basis for the design of personnel development programmes aimed at strengthening the proactivity of employees and contribute to the integration of cross-cultural and generational approaches in the research of career strategies.
Портал психологических изданий PsyJournals.ru — https://psyjournals.ru/en/journals/sps/archive/2026_n1/Volkova_et_al [Adaptation of the questionnaire for career development: “Career engagement scale”. // Social Psychology and Society — 2026. Vol. 17, no. 1]

Research target: Economics and Management Psychology
Language: Russian
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DOI
Text on another site
Keywords: карьераcareercareer engagementproactive career behaviorпроактивное карьерное поведениекарьерная вовлеченность
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