Features of Psychological Health of Students from the Perspective of Personal Resources Development: Basic Beliefs, Resilience, and Personal Regulatory Characteristics
I. A. Filenko, S. A. Bogomaz, E. Galazhinsky, N. A. Buravleva, T. E. Levitskaya, A.A. Chalimova
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引用次数: 1
Abstract
The aim of the study is to study the psychological health of modern youth in order to identify subgroups that significantly differ in this characteristic, as well as the features of psychological resources that support its optimal functioning. The study was conducted in September-October 2022. The study sample included 340 students from Tomsk, ages from 17 to 26 (the mean age was 20.7±2.07 years) and men were 50% of the sample. Research methods: The Mental Health Continuum questionnaire, MHC-SF (C.L.M. Keyes, adapted by E.N. Osin); World Assumption Scale, WAS (R. Janoff-Bulman, adapted by O. Kravtsova); Intellectual Risk Assessment questionnaire (G. Craparo, P. Magnano, A. Paolillo et al., adapted by T.V. Kornilova, E. M. Pavlova); Hardiness Test (S.R. Maddi, D.M. Khoshaba, adapted by D.A. Leontiev, E.I. Rasskazova, short version by E.N. Osin); Personal Readiness for Activity questionnaire (S.A. Bogomaz). Factor and cluster analyses were applied. As a result of the use of factor analysis two factors were revealed: 1) resources for psychological well-being (including indicators of Psychological well-being, Self-worth, Risktaking, Self-efficacy, Goal setting) and 2) resources Social well-being (including indicators of Social well-being, Justice of the world, Benevolence of people) of young people. A comparative analysis of the measured characteristics of male and female revealed statistically significant differences in Self-efficacy (3.35-male and 3.2-female), Goal setting (3.72 and 3.5, respectively), and Benevolence of people (3.71 and 4.1, respectively). The use of cluster analysis made it possible to identify 6 clusters in groups of male and female, whose representatives differed in the average values of the studied variables at a statistically significant level. Based on the analysis of the psychological characteristics of respondents belonging to specific clusters, risk groups which characterized low levels of development of structural components of Psychological and Social well-being resources (45 male and 46 female) were identified.