Volume 2, Issue 3 (Summer 2013)                   JOHE 2013, 2(3): 93-98 | Back to browse issues page


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Rahimi Pordanjani T, Mohamadzade Ebrahimi A, Rahimi Pordanjani H. Personality traits as predictors of occupational accident rates among workers of Khorasan Petrochemical Company, Iran. JOHE. 2013; 2 (3) :93-98
URL: http://johe.rums.ac.ir/article-1-90-en.html
1- Dept of Psychology, Faculty of Humanities, University of Bojnord, Bojnord, Iran. , tayebe.rahimi@yahoo.com
2- Dept of Psychology, Faculty of Humanities, University of Bojnord, Bojnord, Iran.
3- Dept of Art History, Faculty of Art, Shahed University, Tehran, Iran.
Abstract:   (7446 Views)

  Background: Approximately, 90% of workplace accidents are due to human errors. The study of the relationship between individual differences and accidents and injuries are beneficial in the prevention of these accidents. The aim of the present study was to examine the relationship between extraversion, agreeableness, conscientiousness, and neuroticism and occupational accident rates in the petrochemical industry.

  Materials and Methods : This was a descriptive correlational study. The study population consisted of line employees of Khorasan Petrochemical Company in Bojnourd, Iran (n = 1160) 300 employees were selected using stratified random sampling. Data collection tools consisted of the NEO Five-Factor Inventory and Incident Reporting Rate Scale. In order to analyze the data, regression analysis and to validate the results, confirmatory factor analysis were performed using AMOS 21 software.

  Results: Findings indicate that correlation coefficients between the five-factor personality traits and occupational accident rates were significant (P < 0.001). In stepwise multiple regression analyses, of the 5 independent variables, only the 2 variables of conscientiousness and agreeableness found permit entry into the regression equation (R2 = 0.186, P < 0.001).

  Conclusions: The results of this study showed the importance of conscientiousness and agreeableness as predictors of occupational accident rates. Therefore, in order to select people for working in high risk environments, such as the petrochemical industry, we should rely on these variables.

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Short Report: Original Article | Subject: Occupational Health
Received: 2015/01/7 | Accepted: 2015/04/5 | ePublished: 2015/04/5

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