In a population of 70164 airline pilots obtained from the Federal Aviation Administration, 475 males and females had pilot-error incidents in the years 1986 to 1992. A simple chi-squared test revealed that female pilots employed by major airlines had a significantly greater likelihood of pilot error incidents than their male colleagues. In order to control for age, experience (total flying hours), risk exposure (recent flying hours) and employer (major/non-major airline) simultaneously a model of male pilot-error incidents was built using logistic regressions. The regression analysis indicated that youth, inexperience and non-major airline employer were independent contributors to the increased risk of pilot-error incidents. The results also provide further support to the literature that pilot performance does not differ significantly between male and female airline pilots.


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    Title :

    Predicting pilot-error incidents of US airline pilots using logistic regression


    Contributors:

    Published in:

    Applied Ergonomics ; 28 , 3 ; 209-212


    Publication date :

    1997


    Size :

    4 Seiten, 4 Tabellen, 10 Quellen




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English