The Development of a Measure to Assess Perceptions of the Advanced Aircraft Training Climate

REFERENCES

• Airbus. (2011). Flight crew operating manual: FCOM A330 Vol. 1. Systems description. Toulouse, France: Airbus Training Centre.
   Google Scholar
• Airline Pilots’ Association of South Africa. (2011). Airline Pilots’ Association of South Africa. Retrieved from http://www.alpa.co.za/
   Google Scholar
• Andrews, D. H., & Thurman, R. A. (2000). An instructional systems development primer for aircrew training. In H. F. O’Neil & D. H. Andrews ( Eds.), Aircrew training and assessment (pp. 110–152). Mahwah, NJ: Erlbaum.
   Google Scholar
• Ausink, J. A., & Marken, R. S. (2005). Assessing the impact of future operations on trainer aircraft requirements. Santa Monica, CA: Rand.
   Google Scholar
• Bainbridge, L. (1983). Ironies of automation. Automatica, 19, 775–779.
   Web of Science ®Google Scholar
• Barker, D. (2011, April). Is aeronautical engineering getting too far ahead of itself? World Air News. Retrieved from http://www.airnews.co.za/
   Google Scholar
• Baum, A., Gatchel, R. J., & Schaeffer, M. A. (1983). Emotional, behavioural, and physiological effects of chronic stress at Three Mile Island. Journal of Consulting and Clinical Psychology, 51, 565–572.
   PubMed Web of Science ®Google Scholar
• Bent, J. (1996). Training for new technology. Hong Kong: Cathay Pacific Airways.
   Google Scholar
• Biggs, J. B. (1987). Student approaches to learning and studying. Hawthorne, Australia: Australian Council for Educational Research.
   Google Scholar
• Boeing. (2009). Statistical summary of commercial jet airplane accidents, worldwide operations 1959–2009. Seattle, WA: Aviation Safety, Boeing Commercial Airplanes.
   Google Scholar
• Casner, S. M., Geven, R. W., & Williams, K. T. (2012). The effectiveness of airline pilot training for abnormal events. Journal of the Human Factors and Ergonomics Society, 20(3), 22–35.
   Google Scholar
• Cattell, R. B. (1966). The scree test for the number of factors. Multivariate Behavioral Research, 1, 245–276.
   PubMed Web of Science ®Google Scholar
• Chambers, A. B., & Nagel, D. C. (1985). Pilots of the future: Human or computer? Computer, 18(11), 74–87.
   Google Scholar
• Chung, W. V. (1996). Ethnicity and organizational diversity: A study of social cognition and psychological climate perception. Lanham, MD: University Press of America.
   Google Scholar
• Civil Aviation Authority. (2013). Accidents and incidents. Retrieved from http://www.caa.co.za/
   Google Scholar
• Comrey, A. L., & Lee, H. B. (1992). A first course in factor analysis (2nd ed.). Hillside, NJ: Erlbaum.
   Google Scholar
• Cortina, J. M. (1993). What is coefficient alpha? An examination of theory and applications. Journal of Applied Psychology, 78, 98–104.
   Web of Science ®Google Scholar
• Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16, 297–334.
   Web of Science ®Google Scholar
• De Jong, T. (2010). Cognitive load theory, educational research, and instructional design: Some food for thought. Instructional Science, 38, 105–134.
   Web of Science ®Google Scholar
• Denison, D. R. (1996). What is the difference between organizational culture and organizational climate? A native’s point of view on a decade of paradigm wars. Academy of Management Review, 21, 619–654.
   Web of Science ®Google Scholar
• DeVellis, R. F. (2003). Scale development: Theory and applications. Newbury Park, CA: Sage.
   Google Scholar
• Fishbein, M., & Ajzen, I. (2001). Belief, attitude, intention and behaviour: An introduction to theory and research. Reading, MA: Addison-Wesley.
   Google Scholar
• Gorsuch, R. L. (1983). Factor analysis. Hillsdale, NJ: Erlbaum.
   Google Scholar
• Gorsuch, R. L. (1997). Exploratory factor analysis: Its role in item analysis. Journal of Personality Assessment, 68, 532–560.
   PubMed Web of Science ®Google Scholar
• Green, S. B., & Salkind, N. J. (2008). Using SPSS for Windows and Macintosh: Analyzing and understanding data (5th ed.). Upper Saddle River, NJ: Pearson.
   Google Scholar
• Hayton, J. C., Allen, D. G., & Scarpello, V. (2004). Factor retention decisions in exploratory factor analysis: A tutorial on parallel analysis. Organizational Research Methods, 7, 191–205.
   Web of Science ®Google Scholar
• Helmreich, R. L. (2002). Managing threat and error in aviation and medicine. In D. Maurino (Ed.), Proceedings of the Third LOSA Week (ICAO) (pp. 15–22). Dubai, United Arab Emirates: International Civil Aviation Organisation.
   Google Scholar
• Horn, J. L. (1965). A rationale and test for the number of factors in factor analysis. Psychometrika, 30, 179–185.
   PubMed Web of Science ®Google Scholar
• Kaiser, H. F. (1961). A note on Guttman’s lower bound for the number of common factors. British Journal of Statistical Psychology, 14, 1–20.
   Web of Science ®Google Scholar
• Kaminski-Morrow, D. (2009). Nine killed as Turkish 737 breaks up during Amsterdam landing. Flight Global, February 25. Retrieved from http://www.flight global.com/
   Google Scholar
• Karlsson, C. (2008). Researching operations management. New York, NY: Taylor & Francis.
   Google Scholar
• Katz, D., & Khan, R. L. (1966). The social psychology of organizations. New York, NY: Wiley.
   Google Scholar
• Landis, J. R., & Koch, G. G. (1977). The measurement of observer agreement for categorical data. Biometrics, 33, 159–174. Retrieved from http://www.jstor.org.innopac.up.ac.za/
   Google Scholar
• Lawshe, C. H. (1975). A quantitative approach to content validity. Personnel Psychology, 28, 563–575.
   Web of Science ®Google Scholar
• Leech, N. L. (2004). Enhancing the interpretation of “significant” findings: The role of mixed-methods research. Qualitative Report, 9, 760–810.
   Google Scholar
• Martinussen, M., & Hunter, D. (2010). Aviation psychology and human factors. Boca Raton, FL: CRC.
   Google Scholar
• Mitchell, J., Vermeulen, L. P., & Naidoo, P. (2009). Flying glass: A qualitative analysis of pilot perceptions of automated flight-decks after 20 years. International Journal of Applied Aviation Studies, 9, 13–29.
   Google Scholar
• Moon, J. A. (2004). A handbook of reflective and experiential learning: Theory and practice. New York, NY: Routledge/Falmer.
   Google Scholar
• Moore, P. J., Po, T., Lehrer, H. R., & Telfer, R. A. (2001). Quality training and learning in aviation: Problems of alignment. Journal of Air Transportation Worldwide, 6, 56–75.
   Google Scholar
• Morgan, A. G., & Griego, O. V. (1998). Easy use and interpretation of SPSS for Windows: Answering research questions with statistics. London, UK: Erlbaum.
   Google Scholar
• Naidoo, P. (2008). Airline pilots’ perceptions of advanced flight deck automation (Unpublished master’s thesis). University of Pretoria, Pretoria, South Africa.
   Google Scholar
• National Transportation Safety Board. (2009). Aircraft accident report: Flight separation of vertical stabilizer American Airlines flight 587 Airbus Industrie A300–605R, N14053 Belle Harbor, New York November 12, 2001. Washington, DC: Author.
   Google Scholar
• Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). New York, NY: McGraw-Hill.
   Google Scholar
• O’Connor, B. P. (2000). SPSS and SAS programs for determining the number of components: Using parallel analysis and Velicer’s MAP test. Behavior Research Methods, Instruments & Computers, 32, 396–402.
   PubMedGoogle Scholar
• Parasuraman, R., & Riley, V. (1997). Humans and automation: Use, misuse, disuse, abuse. International Journal of Aviation Psychology, 39, 230–253.
   Google Scholar
• Parasuraman, R., Sheridan, T. B., & Wickens, C. D. (2000). A model for types and levels of human interaction with automation. IEEE Transactions on Systems, Man, and Cybernetics—Part A: Systems and Humans, 30, 286–298.
   PubMed Web of Science ®Google Scholar
• Pasztor, A. (2009). Captain’s training faulted in air crash that killed 50. Wall Street Journal, May 11. Retrieved from http://online.wsj.com/news/articles/SB124200193256505099
   Google Scholar
• Pololi, L., & Price, J. (2000). Validation and use of an instrument to measure the learning environment as perceived by medical students. Teaching and Learning in Medicine, 12, 201–237.
   PubMed Web of Science ®Google Scholar
• Poprawa, S. (2011). Flight control automation. SA Flyer, December. Retrieved from http://www.saflyer.co.za/
   Google Scholar
• Röttger, S., Bali, K., & Manzey, D. (2009). Impact of automated decision aids on performance, operator behaviour and workload in a simulated supervisory control task. Ergonomics, 52, 512–523.
   PubMed Web of Science ®Google Scholar
• Schaap, P. (2000). Die ontwikkeling van ‘n psigometriese instrument om die leerbenaderings van volwassenes te bepaal [The development of a psychometric instrument to determine adults’ learning approaches] (Unpublished doctoral thesis). University of Pretoria, Pretoria, South Africa.
   Google Scholar
• Schein, E. H. (2004). Organizational culture and leadership (3rd ed.). San Francisco, CA: Jossey-Bass.
   Google Scholar
• Sexton, J. B., & Klinect, J. R. (2001). The link between safety attitudes and observed performance in flight operations. In Proceedings of the Eleventh International Symposium on Aviation Psychology (pp. 7–13). Columbus, OH: Ohio State University.
   Google Scholar
• Sherman, P. J. (1997). Aircrews’ evaluations of flight deck automation training and use: Measuring and ameliorating threats to safety ( Tech. Rep.). Austin, TX: University of Texas.
   Google Scholar
• Singh, I. L., Sharma, H. O., & Singh, A. L. (2005). Effect of training on workload in flight simulation task performance. Journal of the Indian Academy of Applied Psychology, 31, 83–91.
   Google Scholar
• South African Airways. (2007). Flight operations manual (FOM). Johannesburg, South Africa: Jeppesen Sanderson.
   Google Scholar
• South African Civil Aviation Authority. (2011). Publications: Licencing and examinations. Retrieved from http://www.caa.co.za/
   Google Scholar
• Tabachnick, B. G., & Fidell, L. S. (2007). Using multivariate statistics (5th ed.). Boston, MA: Allyn & Bacon.
   Google Scholar
• Tait, H., & Entwistle, N. J. (1996). Identifying students at risk through ineffective study strategies. Higher Education, 31, 97–116.
   Web of Science ®Google Scholar
• Taylor, H. L., & Emanuel, T. W. (2000). A civil aviation view of aircrew training. In H. F. O’Neil & D. H. Andrews ( Eds.), Aircrew training and assessment (pp. 17–36). Mahwah, NJ: Erlbaum.
   Google Scholar
• Telfer, R. A., & Moore, P. J. (1997). Introduction: The roles of learning, instruction and the organisation in aviation training. In R. A. Telfer & P. J. Moore ( Eds.), Aviation training: Learners, instruction and organisation (pp. 103–115). Aldershot, UK: Avebury Aviation.
   Google Scholar
• Thorndike, E. L. (2007). Educational psychology. New York, NY: Read Country Books.
   Google Scholar
• Uebersax, J. S. (2006). Likert scales: Dispelling the confusion. Statistical methods for rater agreement. Retrieved from http://john-uebersax.com/stat/likert.htm
   Google Scholar
• Velicer, W. F. (1976). Determining the number of components from the matrix of partial correlations. Psychometrika, 31, 321–327.
   Web of Science ®Google Scholar
• Vermeulen, L. P. (2009). Flight instructors’ perceptions of pilot behaviour related to gender. South African Journal of Industrial Psychology, 35, 128–136.
   Google Scholar
• Wald, M. L. (2009, June 4). Clues point to speed issues in Air France crash. New York Times, p. A11.
   Google Scholar
• Walters, S. J. C. (2002). Study guide for Aviation Management 320: Aviation Safety Management. Pretoria, Soth Africa: Department of Human Resources Management, University of Pretoria.
   Google Scholar
• Welman, J. C., & Kruger, S. J. (1999). Research methodology for the business and administrative sciences. Halfway House, South Africa: Thomson International.
   Google Scholar
• Wickens, C. D. (2000). Engineering psychology and human performance (3rd ed.). New York, NY: HarperCollins.
   Google Scholar
• Zimmerman, B. J., & Risemberg, R. (1994). Investigating self-regulatory processes and perceptions of self-efficiency in writing by college students. In P. R. Pintrich, D. R. Brown, & C. E. Weinstein ( Eds.), Student motivation, cognition and learning: Essays in Honor of Wilbert J. McKeachie (pp. 239–256). Hillsdale, NJ: Erlbaum. Zwick, W. R., & Velicer, W. F. (1986). Comparison of five rules for determining the number of components to retain. Psychological Bull, 99, 432–442.
   Google Scholar