Self efficacy and self regulation predicted employee's occupational accidents in an industrial company
Introduction: Accidents are the third leading cause of death in the world and the second cause in our country. Identifying the factors influencing occupational accidents in the prevention of these accidents are useful. One of these factors is cognitive variables. So, the aim of the present study was to investigate the relationship between self efficacy and self regulation as the predictions of the occupational accidents of the staff in an industrial company. Methods: In this descriptive correlation study, the population are all operations employees working in an industry company (N= 1160) 265 employees were selected through stratified random sampling method. Participants in this study were measured by using safety self efficacy, work regulatory focus at work and incident reporting rates scales. In order to analyze the data, the multiple regression analysis, and in the validation stage, the confirmatory factor analysis were applied using software AMOS 21 and the Pearson's correlation coefficient was measured using software SPSS 19. Results: Findings indicated that correlation coefficients between safety self efficacy with occupational accidents were negative and significant (p<0.0001) Correlation coefficients between focus on preventing accidents with occupational accidents were negative and significant (p<0.0001) Correlation coefficients between promotion focus with occupational accidents were positive and significant (p<0.0001) Stepwise multiple regression analysis showed that from among the three independent variables, only two variables of prevention focus and safety self efficacy found permit entry into the regression equation (R 2 =0.174, p<0.0001) Conclusion: The results of this study showed the importance of two cognitive variables, prevention focuses and safety self efficacy, as the predictions of occupational accidents. Therefore, in order to select people for high risk environments such as petrochemical industry and also in training courses it should be focused on these