Gubaidulina Lyudmila M.

Relevance. Professional reliability is a complex multidimensional construct that is used to predict the professional success of specialists working in extreme conditions. Such forecasting is possible in large-scale studies using complex multi-stage modeling, but the forecast will be abstract, not applicable to individual cases. An alternative is to predict certain aspects of success. At the same time, the components of “personal reliability” have the greatest predictive value, since with the development of civilization and changes in the “man-machine” relationship, the internal content of professional reliability shifted from a predominantly functional component to motivational, moral and socio-psychological, including the phenomenon of self-regulation. 

The purpose of the research is to study the components of personal reliability as possible predictors of certain aspects of professional success of rescuers. 

Sample:31 specialists (men), rescuers of one of the Subdivision Ministry of Emergency Situations AQUASPASS, aged 24 to 45 years. 

Research methods: expert assessment of professional success; self-assessment of the level of professionalism; case method; test questionnaire A.V. Zverkova and E.V. Eydman “Research of volitional self-regulation”; “11 personality factors”; test “Motivational Profile” by Ritchie S., Martin P.; Rosenzweig frustration test; “Express methodology” for studying the social and psychological climate in a team (OS Mikhalyuk and A.Yu. Shalyto); diagnostics of the attractiveness of labor (V.M. Snetkov). 

Conclusions (briefly): a) it is possible to use the indicator of success in a training situation as a predictor of professional success; b) the influence of each of the components of personal reliability on different aspects of professional success is differentiated, therefore, forecasting is more optimal also in differentiated options; c) the effectiveness of socio-psychological interaction makes an important contribution to professional success, and the components of the socio-psychological climate play different roles in this. 

Acknowledgments: The study was carried out with funding from grant 19-013-00799 A “Predictive model of adaptability and reliability of professionals in extreme working conditions”.