Background. The present research is carried out in the context of the conscious self-regulation of professional activity.
Objective. It investigates the regulatory and personality predictors of reliability in rescue operations under stressful conditions.
Design. The research sample includes 87 rescuers (72 men and 15 women aged from 25 to 50 years). Respondents were asked to complete the Morosanova’s Self-Regulation Profile Questionnaire – SRPQM, the Eysenck Personality Profile - Short (EPP-S), and the expert questionnaire “Professional Reliability of Rescue Operation” designed for this particular study.
Results. On the basis of a correlation analysis, the structural model of the predictors of action reliability was constructed using the maximum likelihood method. Consistency indices showed a good agreement between the model and empirical data. The model contains three latent factors: “Self-regulation”, “Neuroticism” and “Reliability of actions”. As the model displays, the “Self-regulation” factor is a significant predictor of professional action reliability. There are two indicator variables for the factor “Self-regulation”: the self-regulation reliability considered as its stability in the stressful situations, and the rescuers’ levels of development of professionally critical regulatory features - modeling of conditions significant for the achievement of goals and the programming of actions. The study results also show that personality dispositions (by Eysenck) have only indirect influence on action reliability. As the structural model reveals, the conscious self-regulation is a mediator in the relationship of neuroticism traits and action reliability.
Conclusion. The conscious self-regulation is a significant predictor of professional action reliability under stressful conditions. It is also the mediator of the effects of personality dispositions on the reliability of action.
Keywords: professional activity, reliability, conscious self-regulation, personality traits, structural model
Background. In a pandemic situation, the search for psychological resources for successful self-organization of life under the changing conditions becomes an urgent issue. Revealing the role of a person's conscious activity to achieve such self-organization during the lockdown period is the goal of this study.
Objective. Our main task was to monitor self-assessments of life self-organization in different age groups. Another was to evaluate the extent to which conscious self-regulation contributes to the success of self-organization, to overcoming its difficulties, and to accepting the uncertainty of the future.
Design. The data were obtained online on the Testograf platform (www.testograf.ru), which was provided by the all-Russian research project “Exploring at home!” (www.issleduemdoma.ru), a study which ran from late April to early June 2020. The sample was comprised of 1634 people, ages 18-60, from 69 regions of Russia. The methods were “Morosanova’s Self-regulation Profile Questionnaire – SRPQM 2020” and the authors’ ad hocquestionnaire “Self-organization of life during a lockdown.”
Results. The majority of respondents assessed their level of self-organization as medium (67.6%) and high (17.3%). The general level of self-regulation was associated with successful self-organization in all age groups. Regression analysis revealed that being able to cope with and accept uncertainty depended primarily on flexibility, persistence, planning goals, and modeling conditions. Overcoming the difficulties of self-organization depended on the same indicators, with additional contributions of reliability and programming of actions. Students demonstrated significantly lower levels of self-regulation than older people; as a result, young people experienced more difficulties in organizing their lives under self-isolation conditions.
Conclusion. The higher the level of conscious self-regulation, the more productive a person is when self-organizing his/her behavior in case of a lockdown. The difficulties of self-organization, in turn, are associated with a low level of regulatory resources.
Keywords: coronavirus; COVID-19; conscious self-regulation; self-organization; age