Safety Research Case Study: Submission

Safety Research Case Study

Henry

Institution

Course

Date

Safety Research Case Study

A graduate level research question that may benefit from further inquiry is “to what extent has professional qualifications influenced aviation safety in Denver International Airport over the past 10 years?” This research would primarily be qualitative in its approach. The indicators of interest to gain information about the relationship between professional qualifications and aviation safety at this particular airport would include the level of training of personnel working at the airport, organizational commitment, capacity building, staff empowerment, and working environment. The target population for the study will be safety oversight inspectors and technical safety staff employed at the airport. For clarity, the operational definition for professional qualifications will be “knowledge, skills and attitudes required to perform a task to a prescribed standard under a certain condition”. Data for proceeding with the study will come from the Aviation Safety Network (ASN) safety database as well as organizational records maintained by the airport.

In the aforementioned graduate level research question, the independent variable would be professional qualifications, as this is the variable that the researcher will control or change in the scientific experiment to test its effect on the dependent variable, which is aviation safety in Denver International Airport. Aviation safety at the airport is the dependent variable because it is the variable that the researcher tests or measures in the scientific experiment. Outcome measures for gauging aviation safety will comprise of attainment of ≥ 60% on effective implementation of safety critical elements, timely safety hazard identification, reduced air accidents, reduced fatalities, and effective emergency response. Tools for analysis in this study will include central tendency dispersion and causal relationship whereas the specific measures will involve computations of mean, standard deviation, correlation analysis and linear regression analysis.