Abstract

This paper discusses the evaluation of an existing selection system for a Midwestern University's Aviation Program and attempts to find significant predictors of pilot performance using personality measures including the Five Factor Scale, Cockpit Management Attitudes Questionnaire, Self Monitoring Scale, an Integrity Scale, and cognitive measures including Block Counting, Rotated Blocks and Numerical Reasoning. Data from 24 student pilots was examined with bivariate correlations and stepwise regression and results indicate personality plays a role in predicting successful pilot performance. The CMAQ, extraversion and block counting measures were positively correlated with facets of performance including decision making in-flight, consistently arriving on-time for lessons, and situational awareness in-flight, respectively. Also, agreeableness predicted a negative relationship with situational awareness in-flight and instructor rating of performance. Based on the results, it is suggested the current selection measure consist of the Five Factor Scale, CMAQ, Block Counting and Rotated Blocks measures and be validated in the future to evaluate reliability.

Advisor

Kristie Campana

First Committee Member

Lisa Perez

Second Committee Member

Thomas Peterson

Date of Degree

2013

Language

english

Document Type

Thesis

Degree

Master of Arts (MA)

Department

Psychology

College

Social and Behavioral Sciences

Creative Commons License

Creative Commons Attribution-Noncommercial 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial 4.0 License

Share

COinS
 
 

To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.