Abstract

Introduction: The present study aims to examine neuroticism, aggression, and risk taking as predictors of accident-proneness in line employees of National Iranian Drilling Company.
 Methods: The present correlational predictive study was designed to predict group membership (injured employees, uninjured employees) and achieve the Audit Equation. The statistical population of the study consisted of all injured and uninjured line employees at the National Iranian Drilling Company of Ahvaz working in the company during the last five years (from April 2010 to November 2013). The research sample consisted of 145 injured employees (over the past 5 years) and 115 uninjured employees, selected using simple random sampling method. The subjects were measured by Neo Personality Inventory (Costa and McCrae, 1992), SCL90R Aggression Index, and Risk Taking scale (Westaby and Lee, 2003) questionnaires.
 Results: The data were analyzed by SPSS-16 software. The results of this study showed that accident-proneness of employees can be predicted only by neuroticism and aggression variables. The risk taking was not able to distinguish between injured and uninjured employees.
 Conclusion: According to the research results, in order to reduce accident-proneness in employees, personality traits, such as neuroticism and aggression should be considered.

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