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June 5, 2026
Neural Network Maps as a Method for Constructing Mathematical Models
Scientists from HSE University–Nizhny Novgorod and the Institute of Physics Belgrade, Serbia, are jointly exploring the application of machine learning techniques and neural networks to the study of nonlinear dynamics. Natalya Stankevich, Leading Research Fellow at the Laboratory of Topological Methods in Dynamics of the Faculty of Informatics, Mathematics, and Computer Science at HSE University–Nizhny Novgorod, spoke to the HSE News Service about this international project.
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COPE-30: PSYCHOMETRIC PROPERTIES OF THE SHORT VERSION OF THE RUSSIAN-LANGUAGE INVENTORY FOR COPING STRATEGIES EVALUATION

Вестник Московского университета. Серия 14: Психология. 2022. № 4. С. 247–275.
Одинцова М. А., Радчикова Н. П., Alexandrova L.

Background. Numerous studies show that coping plays a big role in a person’s adaptation to stressful situations and becomes the center of psychological practice, which dictates the need to develop a reliable, valid and compact tool that allows you to identify certain coping strategies. 

Objective. Th e aim of the study was to develop a brief version of the Russian-language methodology for evaluating coping strategies (COPE-30) based on the full Russian version.

Methods. Th e survey included socio-demographic indicators and an assessment of life situation diffi culty. Th e following methods were used: COPE, Hardiness Survey, Personal Self-Activation Inventory, “Subjective appraisal of diffi cult life situation” technique. Descriptive statistics, correlation analysis, exploratory and confi rmatory factor analysis, three-way ANOVA, and two-way ANCOVA were used as data processing methods.

Sample. Data were obtained from an online survey (2021–2022). In total, the study involved 1395 people aged 18 to 76 years (average 32 ± 11 years, median = 31 years), of which 72,5% were female, 24,6% male, and 2,9% other.

Results. Psychometric indices indicate good internal consistency of the COPE-30 scales. Th e results of the confi rmatory factor analysis confi rm the correspondence of the 15-factor COPE-30 model to the data obtained under diff erent instructions. Th ree second-order factors obtained on the basis of 15 coping strategies correlate with all the characteristics of a diffi cult life situation, self-activation and hardiness. Women more often use the coping strategies “Concentration on emotions and their active expression”, “Religion” and “Emotional social support”, and men — “Humor”, even when controlling for the difficulty of the situation.

Conclusion. Th e proposed COPE-30 inventory is a suffi ciently reliable, internally consistent and valid tool for determining individual coping strategies. It has the same good psychometric characteristics as the full version of the inventory, and works well with situational and dispositional approaches.  

Language: Russian
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Keywords: стратегии совладанияdifficult life situationsтрудные жизненные ситуацииcoping strategiespsychometric characteristics психометрические характеристикиCOPECOPE-30COPECOPE-30
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