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  • Опыт использования бифакторных моделей для снижения эффектов социальной желательности на материале нормативного опросника универсальных компетенций
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October 7, 2026
‘Our Team Consists of True Leaders in Their Respective Academic Disciplines
The HSE International Centre of Decision Choice and Analysis studies a wide range of methods for analysing decision-making and possible scenarios for the development of natural, socio-economic, and political phenomena using various mathematical models. The application of advanced mathematical methods to forecasting helps to prevent negative outcomes and avoid erroneous decisions. The HSE News Service spoke to the centre’s director, Prof. Fuad Aleskerov, about its work.
October 6, 2026
International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod Brings Together Scientists from Russia and Serbia
The International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod’ was held at the Nizhny Novgorod House of Scientists from September 23 to 26. The event was organised by HSE University–Nizhny Novgorod and the Nizhny Novgorod House of Scientists, with the participation of Sberbank and the Institute of Physics Belgrade. The symposium was held for the second time: the first conference took place in 2025 and attracted considerable interest from the academic community.
October 5, 2026
‘The Climate Transition Is Not Necessarily a Limitation for Business
Linara Khadimullina works in the field of low-carbon development. In an interview with the Young Scientists of HSE project, she spoke about why nature is not just a beautiful backdrop, her research on the role of sustainable corporate governance in reducing greenhouse gas emissions, and growing plants as a source of inspiration.

 

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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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