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  • Адаптация русскоязычной версии методики Шкала оценки отношения к вакцинации (VAX) Л.Р. Мартин и К.Дж. Петри
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News
July 20, 2026
Scientists Create Open Dataset for Studying Concentration
A team of Russian researchers, including scientists from HSE University–St Petersburg, has developed the first open multimodal dataset containing recordings of brain activity, heart function, and video observations to help researchers understand what happens in the human brain during deep concentration. In the future, the dataset could accelerate the development of neural interfaces, rehabilitation technologies, and AI systems. The article has been published in Scientific Data.
July 20, 2026
‘Science Is Universal-It Knows No Borders
Fuad Aleskerov, Tenured Professor and Director of the International Centre of Decision Choice and Analysis at HSE University, together with his colleagues, has developed methods of network analysis in bibliometrics that have made it possible to identify patterns in the appearance and citation of publications in academic journals, as well as their influence on each other. When one or a number of studies are frequently cited by a wide range of journals, this is an indicator that the research is of high quality. By contrast, extensive cross-citation within a limited group of journals increases the likelihood of identifying a network of predatory publications.
July 20, 2026
Scientists Propose Method for More Efficient Resource Use in Machine Learning
An international group of researchers, including mathematicians from the AI and Digital Science Institute at the HSE Faculty of Computer Science, has provided a theoretical justification for a simple and computationally efficient method of estimating uncertainty in Stochastic Gradient Descent (SGD). The paper has been published on the scientific preprint server arXiv.org and presented at AISTATS 2026.

 

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Адаптация русскоязычной версии методики Шкала оценки отношения к вакцинации (VAX) Л.Р. Мартин и К.Дж. Петри

Экспериментальная психология. 2025. Т. 18. № 3. С. 178–193.
Syromiatnikova A., Mararitsa L., Artemenko E.

Context and relevance. There is a lack of Russian-language methods for determining attitudes toward factors common to different types of vaccination.

Objective. This article is focused on testing the psychometric properties of the translated Vaccination Attitudes Examination (VAX) Scale of L.R. Martin & K.J. Petrie. The scale includes subscales of mistrust of vaccine benefit, worries about unforeseen future effects, concerns about commercial profiteering, and preference for natural immunity. Methods and materials. The study was conducted in an online survey format; the sample was collected by gender-age quotas and totaled 400 individuals. To check the construct validity, we used a scale measuring attitudes toward COVID-19 vaccination and a questionnaire on conspiracy beliefs about vaccination. To check the criterion validity, behavioral indicators were used: voluntariness of COVID-19 vaccination and other diseases, experience of complications and worsening of well-being after COVID-19 vaccination, and planning for future COVID-19 vaccination.

Results. The validity check yielded the expected correlations with the scales and indicators used. Internal consistency was 0.899.

Conclusions. The Russian version of the VAX scale showed high internal consistency and a stable factor structure, its construct and criterion validity were confirmed.

Research target: Psychology
Language: Russian
DOI
Keywords: социальные установкивакцинацияадаптация опросникаотказ от вакцинацииотношение к вакцинацииантивакцинаторство
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