Predicting of pilot's job success based on thirty subscales of NEO-PI-R questionnaire

Document Type : Research Paper

Authors

1 MA. in psychology, Islamic Azad University, Branch of Torbat-e-Jam, Torbat-e-Jam, Iran

2 MA. in philosophy, Islamic Azad University, Branch of Sciences and Researches, Tehran, Iran

3 Associate professor of psychology, Islamic Azad University, Branch of Torbat-e-Jam, Torbat-e-Jam, Iran

4 MA. in aerospace, Ferdowsi University of Mashhad, Mashhad, Iran

Abstract

Introduction: Resent researches have shown that contextual domain of job performance criteria could be affected by personnel's personality. This study aimed to determine, how personality traits can effect on performance of military pilots.
Materials and Methods: In this descriptive cross-sectional research, 40 military pilots were selected in a cluster sampling method and also they fulfilled NEO-PI-R (240 questions form). Each pilot evaluated by two assessor pilots for flight performance scores. Stepwise regression was used to predict flight standardization scores based on predictive variables. All statistical analyzes is done through SPSS software version 19.
Results:The results of this study indicated that four subscales of personality traits thus imagination (O1), actions (O4), trust (A1) and competence (C1) were significant valid predictors (P<0.05) of flight standardization check (considered as job performance of pilots). The modesty (A5) can predict the standardization check scores (P≤ 0.01). Otherwise the relationship between vulnerability (N5) and grades of flight standardization check was inverse (P<0.05). The result of stepwise regression showed that the four personality subscales of N5, O4, A5 and C1 could be the best predictors of pilot's job success with the following accuracy of mines 10, 12, 24 and 21 percents.
Conclusion: The results show that personality traits can predict the job performance in military pilots.The findings have numerous implications for research and practice in aviation psychology field, especially in the subfields of personnel employment and performance appraisal.

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