The relationship between performance and selected aspects of personality as a prediction of risk behavior of drivers in road traffic

Theoretical part of this bachelor thesis presents essential base of the work aimed to personal characteristics and achievement of motor vehicle drivers, including the relationship between both variables. Particular attention focuses on the traffic behaviour of drivers - especially risky traffic behaviour. The aim of practical part of quantitative research is to find connection between performance of reactive time and selected personal traits IP, OR, UZ, OI, FC, PR among risk drivers (those who drive under the influence of alcohol). Research focuses on differences between selected personality traits of both, risky and non-risky drivers, as well as it follows the connection of those traits with age of risk drivers. We also attempt to identify the difference between the reaction time and reaction accuracy of risk drivers, within the context of free and forced pace of performance and determination test. Research sample consisted of 160 drivers with driver licence for group B, C, D between the age of 18 to 60 years old. Hypotheses were verified by standardized methods - personality questionnaire SPARO and performance and determination test. Outcomes´ analysis has proved connection of the trait PR - experiencing vs. reacting approach with average reaction time of drivers using motor vehicle under the influence of alcohol in the context of forced pace of performance and determination test. Outcomes also show the difference between risk and non-risk drivers within their personal traits of IP - intensity of internal experiencing along with UZ - anxiety. Within the traits of IP - intensity of internal experiencing and OR - common tendency to risk, there has been found the relationship of those two traits with the age of risk drivers. Considering the performance of risk drivers, differences between common reaction time in free pace and in forced pace have been proved, however, there is no evidence of differences of performance concerning correct answers. The thesis contributes to selected personal characteristics´ assessing of risk and non-risk drivers, it helps to clarify performance characteristics of risk drivers, as well as the analysis of relationship between personal traits and performance of risk drivers