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Commercial pilot numbers have been on a decline since 2009, while in parallel, pilot demands continue to rise. In order to close the gap, airlines and companies need a steady stream of pilots-in-training who have successfully graduated. However, collegiate flight training programs have had issues with low retention and low success rates of pilots-in-training. The need to understand how to retain students within collegiate flight programs and increase success rates is vital to fill the gaps present within the aviation industry. Past studies have investigated predictive factors for pilots-in-training graduation persistence and the time it takes to graduate yielding similar findings. Many factors have been identified as related to pilot-in-training success and persistence, the most common being high school GPA and cost. However, suggestions have been presented as variables of interest to examine for future studies, such as the effect of different types of flight postponements. The research study conducted expanded the knowledge regarding variables that predict or contribute to pilot-in-training success in a collegiate aviation flight degree program, examining graduation persistence and time to graduate. An archival data of 262 pilot-in-training students were used to explore the relationship between the 19 predictors, graduation persistence, and time to graduate. Several variables had significant relationships with both Time to Graduate and Persistence Before Dropout, including Age, Number of Transfer Credits, Class Load, and Pass Rates in Aeronautics Classes. Additionally, Time to Graduate had a significant relationship with Academic Success in Aeronautics Classes and Maintenance Postponements per Semester. Persistence Before Dropout had a significant relationship with Instructor Changes, Instructor Postponements, and Weather Postponements.
Airlines for America. (2018, October 24). Industry Review. Retrieved from Allocating Capital to Benefit Customers, Employees, and Investors: https://airlines.org/wpuploads/2017/03/A4A-Industry-Review-5.pdf
Airlines for America. (2019). U.S. Airline Traffic and Capacity. Retrieved from U.S. Airlines (Passenger and Cargo): https://www.airlines.org/dataset/annual-results-u-s-airlines-2/
AOPA. (2010, October). The Flight Training Experience. Retrieved from A Survey of Students,
Andrade, M. S. (2008). International student persistence at a faith-based institution.
Astin, A. W. (1970). The methodology of research on college impact, part one. Sociology of education, 223-254.
Astin, A. (1984). Student Involvement: A developmental Theory for higher Education. Journal of College Student Personnel, 25(4), 297–308.
Attewell, P., & Monaghan, D. (2016). How many credits should an undergraduate take?. Research in Higher Education, 57(6), 682-713.
Attewell, P., Heil, S., & Reisel, L. (2012). What is academic momentum? And does it matter?. Educational Evaluation and Policy Analysis, 34(1), 27-44.
Bjerke, E., & Healy, M. (2010). Predicting student persistence: Pre-entry attributes that lead to success in a collegiate flight program. The Collegiate Aviation Review International, 28(1).
Caraway, C. L. (2020). A looming pilot shortage: It is time to revisit regulations. International Journal of Aviation, Aeronautics, and Aerospace, 7(2), 3. Chicago
Chaparro, M. E., Carroll, M., & Malmquist, S. (2020). Personality Trends in the Pilot Population. The Collegiate Aviation Review International, 38(2).
Clery, S., & Topper, A. (2008). Students Earning Zero Credits. Data Notes. Volume 3, Number 5, September/October 2008. Achieving the Dream.
Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. (2003). Applied multiple regression/correlation analysis for the behavioral sciences (3rd ed.). Lawrence Erlbaum Associates Publishers.
De Montalk, R. J. (2000). Anxiety as a factor in student pilot performance in a university aviation degree programme. Massey University. Massey University: Doctoral Dissertation.
Dille, B., and M. Mezack. 1991. Identifying predictors of high risk among community college telecourse students. American Journal of Distance Education 5(1): 24–35.
FAA. (2019). Civil airmen statistics. Retrieved from Not APA https://www.faa.gov/data_research/aviation_data_statistics/civil_airmen_statistics/
Faul, F., Erdfelder, E., Lang, A. G., & Buchner, A. (2007). G* Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior research methods, 39(2), 175-191.
Flight Logger. (2021, May 11). Flight School Management Software. Retrieved from https://flightlogger.net/
Friedman, D., Pommerenke, K., Lukose, R., Milam, G., & Huberman, B. A. (2007). Searching for the sunk cost fallacy. Experimental Economics, 10(1), 79–104.
GAO. (2018). Collegiate Aviation Schools. Stakeholders Views on Challenges for Initial Pilot Training Programs. GAO –18-403. https://www.gao.gov/assets/gao-18-403.pdf
Higgins, J., Lovelace, K., Bjerke, E., Lounsberry, N., Lutte, R., Friedenzohn, D., . . . Craig, P. (2013). An investigation of the United States airline pilot labor supply. Retrieved from https://www.researchgate.net/publication/249315130_An_Investigation_of_the_United_States_Airline_Pilot_Labor_Supply
Huntington-Klein, N., & Gill, A. (2021). Semester course load and student performance. Research in higher education, 62(5), 623-650.
Klapper, E. S., & Ruff-Stahl, H. J. K. (2019). Effects of the pilot shortage on the regional airline industry: A 2023 Forecast. International Journal of Aviation, Aeronautics, and Aerospace, 6(3), 2.
Kwai, C. K. C. (2010). Model of international student persistence: Factors influencing retention of international undergraduate students at two public statewide four-year university systems. (Doctoral dissertation, University of Minnesota).
Leonard, A. P. (2018). The Impact of Pre-entry Attributes and College Experiences on Degree Attainment for Students in a Collegiate Flight Program. The University of North Dakota
Lutte, B. (2018). Pilot supply at the regional airlines: Airline response to the changing environment and the impact on pilot hiring. Journal of Aviation/Aerospace Education & Research, 27(1), 1-22.
Lutte, R. K. (2019). Women in aviation: A workforce report.
McFarland, M. R. (2017). Student Pilot Aptitude as an Indicator of Success in a Part 141 Collegiate Flight Training Program (Doctoral dissertation, Kent State University).
Redbird Flight Simulations. (2021, March 17). State of Flight Training: 2021 Survey and Report
[PowerPoint Slides]. Download. https://simulators.redbirdflight.com/state-of-flight-training
Peltier, G. L., Laden, R., & Matranga, M. (2000). Student persistence in college: A review of research. Journal of College Student Retention: Research, Theory & Practice, 1(4), 357- 375.
Shapiro, D., Dundar, A., Wakhungu, P.K., Yuan, X., Nathan, A, & Hwang, Y. (2016, September). Time to Degree: A National View of the Time Enrolled and Elapsed for Associate and Bachelor’s Degree Earners (Signature Report No. 11). Herndon, VA: National Student Clearinghouse Research Center.
Siegel, M. J. (2011). Reimagining the retention problem: Moving our thinking from end-product to by-product. About Campus, 15(6), 8-18.
Trippi, J. F., & Baker, S. B. (1989). Student and residential correlates of black student grade performance and persistence at a predominantly white university campus. Journal of College Student Development, 30, 135-143.
Waldman, D. A., & Avolio, B. J. (1986). A meta-analysis of age differences in job performance. Journal of applied psychology, 71(1), 33.
Wilson, N., Bjerke, E., & Martin, L. (2015). Aviation living learning community: Impacts on student success. Collegiate Aviation Review, 33(1), 29–43.