Psychologial Institute of Russian Academy of Education
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
Using the results of two empirical studies (with different samples and academic subjects), our research was aimed at discovering the significant role of conscious self-regulation, intelligence, and cognitive features in predicting optimal academic achievement. The sample consisted of 406 students (aged 14-16) in the 8th to 11th grades of the Russian formal education system. Conscious self-regulation together with intelligence and cognitive abilities was determined to be a significant predictor of academic success. The Study 1 results revealed that the general level of self-regulation of learning activity and certain regulatory features were significant predictors of different types of mathematical achievements: academic grades, scores on exams, mathematical fluency, as well as solving logical mathematical problems and equations. The present study is the first to show the mediating role of self-regulation in relation to intelligence, cognitive features, and academic success. Study 2 found evidence that conscious self-regulation and intelligence can predict academic achievement in the humanities, mathematics, and natural sciences... At the same time, this determination has its peculiarities in particular variables of intelligence and certain self-regulation processes depending on the substantive characteristics of the academic subjects. Regression models of academic success in the humanities identified verbal intelligence associated with vocabulary as highly significant and a definitive requirement for success in these subjects. Study 1 and Study 2 showed that the only significant predictors of success in algebra and geometry were quantitative- relations intelligence and spatial intelligence. The implications of these findings for investigating predictors of academic achievement are discussed.
Keywords: conscious self-regulation, intelligence, cognitive features, gifted students, academic achievement