Effect of Myers-Briggs Personality Dimensions on High-Risk Driving Behaviors and Number of Accidents

Traffic accidents and physical and financial casualties are a serious and global problem. The human, the road, the vehicle, and the environment are the four causes of traffic accidents, and among them, the most effective factor is the human factor. Therefore, in the field of traffic safety, social science studies, in particular, psychology and driver studies, are necessary. The main purpose of this study was to investigate the relationship between personality dimensions of Myers-Briggs personality test on high-risk driving behaviors and the number of accidents. The population of the study consisted of all Razi University students who hold a driving license. Using the Cochran formula, ۳۶۱ samples were obtained and selected by the available sampling method. The research tool is a questionnaire consisting of three sections: demographic questions, a researcher-made questionnaire on high-risk driving behaviors, and a Myers-Briggs personality test. Confirmatory factor analysis and structural equations were used to confirm the research hypotheses and questions. Amos software was used for data analysis. Increasing Personality Preferences (Extrovert, Intuitive, Perceiver) Increases Risk Driving Behaviors, and with increasing personality preferences (Introvert, Sensor, and Judger) the number of risky driving behaviors decreases.  According to the results people with personality preferences (extrovert, intuitive, and Perceiver) have the highest number of high-risk driving behaviors and the number of crashes As well as people with personality preferences (Introvert, Sensor, and Judger), they have the least number of high-risk driving behaviors and the least number of crashes.

کلیدواژه ها:

Myers-Briggs Test ، Accidents ، High Risk Driving Behaviors ، Structural Equations ، Multivariate Regression