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August 13, 2026
‘Working with AI Solves a Wide Range of Engineering Problems
Artificial intelligence is a working tool based on a balanced combination of algorithms and engineering. Experts and doctoral students from the HSE Moscow Institute of Electronics and Mathematics explain how AI technologies can improve an application, device, or system, and what engineering tasks are solved in the process.
August 12, 2026
‘I Would Like My Research to Help Make the World a Calmer and Better Place
Whatever task Saraa Ali, Junior Research Fellow at the Laboratory of Methods for Big Data Analysis (LAMBDA) of the AI and Digital Science Institute (HSE Faculty of Computer Science), is working on, she thinks about how it can benefit people. She told the Young Scientists of HSE University project about her large family, diagnosing three-phase motors, and her dream of building a children’s home in her native country.
August 11, 2026
‘The Peak of Stupidity and ‘The Valley of Despair: HSE Economists Propose an Explanation for the Dunning–Kruger Effect
The Dunning–Kruger effect, which describes a sharp surge in self-confidence among beginners followed by an equally rapid decline as they gain experience, can be explained by the nature of the learning process and the acquisition of new knowledge. This conclusion was reached by Andrey Vorchik of the HSE Faculty of Economic Sciences together with independent researcher Murat Mamyshev. They developed a mathematical model of learning and demonstrated how subjective confidence is formed and changes as knowledge accumulates, as well as how teachers can reduce the ‘valley of despair’ experienced by learners.

 

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Русскоязычная адаптация симптоматического опросника (Symptom Checklist-K-9, SCL-K-9)

Сибирский психологический журнал. 2023. № 89. С. 105–115.
Zolotareva A.

The Symptom Checklist-K-9 (SCL-K-) was developed to assess general psychopathology based on self-reports on the symptoms of hostility, obsessive-compulsivity, depression, interpersonal sensitivity, paranoid tendencies, anxiety, somatization, phobic anxiety, psychoticism. The aim of this study was to examine the psychometric properties of the Russian SCL-K-9. The participants were 1079 respondents, including 543 women and 536 men aged 18 to 84 years (M = 41.39; SD = 12.38). Data collection was carried out with the help of the company "Anketolog". The participants filled out the Russian versions of the SCL-K-9 and Depressive, Anxiety, and Stress Scale-21 (DASS-21). General psychopathology was more common in women and did not depend on the age of the respondents. The results of the confirmatory factor analysis pointed to the one-factor structure of the Russian version of SCL-K-9, which corresponds to the original structure of the questionnaire and confirms the factorial validity of the adapted instrument. A one-factor solution was found for the total sample and individual samples of men and women. The multigroup confirmatory factor analysis showed the configural, metric and scalar invariance of the Russian SCL-K-9 by gender of the respondents. The adapted instrument had high internal consistency (α-Cronbach = 0.903). The SCL-K-9 general psychopathology scores were statistically significantly positively correlated with depression, anxiety and stress scores according to DASS-21, which confirmed the convergent validity of the adapted instrument. In conclusion, the psychometric validity of the Russian version of SCL-K-9, has possible use for research purposes, but there is a need for further psychometric testing in clinical settings.

Research target: Psychology
Language: Russian
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Keywords: psychopathologyпсихопатологияinternal reliabilityconvergent validityвнутренняя надежностьконвергентная валидностьSCL-K-9factor validityфакторная валидностьSCL-K-9factor invarianceфакторная инвариантность
Publication based on the results of:
Motivational and meaning foundations of personality success (2023)
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