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  • Опыт использования бифакторных моделей для снижения эффектов социальной желательности на материале нормативного опросника универсальных компетенций
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News
August 25, 2026
Scientists Develop Algorithm for More Reliable Processors in Data Centres
Researchers from HSE MIEM and Samara University have developed the LRF-3D algorithm to automatically bypass idle nodes in three-dimensional networks-on-chip. Thanks to its hierarchical architecture, the algorithm outperforms existing solutions in both speed and path accuracy, improving processor reliability for use in data centres, supercomputers, and AI computing. The source code and test results are publicly available.
August 24, 2026
Researchers Develop Method for Direct Generation of Regulatory DNA
Researchers at HSE University have developed a model for generating promoters and enhancers—DNA sequences that regulate gene activity. The model works directly with DNA nucleotides, without first transforming them into a continuous numerical representation. This solution could be useful for applications in synthetic biology and gene therapy. The study results were presented at the ICLR 2026 Workshop ‘Generative AI in Genomics (Gen^2): Barriers and Frontiers.’
August 21, 2026
Social Integration: At the Crossroads of Knowledge and Values
The International Laboratory for Social Integration Research (ILSIR) at HSE University studies the challenges faced by vulnerable groups and explores ways to help them participate fully in everyday life. To develop effective solutions, the laboratory’s researchers combine cutting-edge methods with practical fieldwork. In this interview with the HSE News Service, Laboratory Head Elena Iarskaia-Smirnova discusses the laboratory’s work.

 

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Опыт использования бифакторных моделей для снижения эффектов социальной желательности на материале нормативного опросника универсальных компетенций

Вопросы образования. 2023. № 3. С. 145–171.
Сагитов Е. Б., Брун И. В., Павлов С. В.

One of the significant lack of questionnaires is a scores distortion for the measured constructs, associated with the social desirability effects. An even greater threat to the validity of decisions is social desirability in high-stakes evaluation, such as selection for a position. Moreover the issue of the relationship between different components of social desirability and the most frequently measured personal constructs remains debatable. In the material of the author’s normative questionnaire of universal competencies, an approach is considered for making adjustments to the final scores for measured constructs using the developed scales of egoistic and moralistic social desirability. Also discussed the prospect of using statement formulations that are neutral to social desirability or express the most positive degree of measured indicators. The empirical basis of this study is data gathered within a pilot conducted in the spring of 2022, during which data were obtained from 579 respondents in 49 measurable competencies. The analysis was aimed at assessing the quality of the developed scales of social desirability and modeling of each of the universal competencies scales was carried out with the inclusion of a scale of social desirability. The data were analyzed in the framework of structural modeling — confirmatory factor analysis (CFA) using bifactor models for each of the measured competencies.

Research target: Education Psychology
Language: Russian
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Keywords: universal competenciesуниверсальные компетенциибифакторные моделиNormative approachegoistic social desirabilitymoralistic social desirabilitybifactorial modelsipsative approachэгоистическая социальная желательностьморалистическая социальная желательностьнормативный формат опросникаипсативный формат опросника
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