Experience in statistical modeling of population psychological state dynamics during critical situations

Alexander V. Kudrov () and Yuriy V. Gavrilets ()

Economics of Contemporary Russia, 2026, vol. 29, issue 1

Abstract: The article presents findings in a longitudinal study on the psychological adaptation of the population during the shock period triggered by the special military operation (2022). Using a sample of 313 respondents across six consecutive survey waves and employing probabilistic-statistical modeling methods, the dynamics of psychological well-being and coping strategies were analyzed. Two stable structural clusters of psychological indicators emerged: overall psychological well-being (comprising emotional, social, and personal components) and constructive coping (including positive reappraisal, acceptance, and humor). Composite indices were constructed for each cluster, revealing distinct dynamics: relative stability in “well-being†versus a significant decline in “coping†following the announcement of partial mobilization. Four distinct trajectory types were identified for each index, forming “mirror-image†pairs. Membership in a specific adaptation type was not determined by socio-demographic factors (gender, age, education, income) but was associated with initial socio-psychological attitudes. Using econometric models of nested dichotomies, statistical predictors of adaptation were identified: “trust in institutions,†“social optimism,†“identity-related attitudes,†and “cognitive strategies.†The study demonstrates that, under crisis conditions, individual adaptation trajectories are statistically predictable based on psychological attitudes measured during the initial survey period, highlighting the role of these initial attitudes as predictors of future adaptation.

Date: 2026
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.ecr-journal.ru/jour/article/viewFile/1165/660 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ack:journl:y:2026:id:1165

DOI: 10.33293/1609-1442-2026-29(1)-29-43

Access Statistics for this article

More articles in Economics of Contemporary Russia from Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences
Bibliographic data for series maintained by Ð ÐµÐ´Ð°ÐºÑ†Ð¸Ñ ().