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Capturing Admission Judgment Policy from the Lens Model Perspective to Understand the Gender Difference in Science and Engineering

렌즈모델을 이용한 의사결정자의 Admission Policy 분석 - 과학과 공학분야에서의성차이의 영향을 중심으로

  • Seong, Youn-Ho (Department of Industrial & Systems Engineering, North Carolina A&T State University) ;
  • Springs, Sherry L. (1Department of Industrial & Systems Engineering, North Carolina A&T State University) ;
  • Tinnin, Deanna (Department of Industrial & Systems Engineering, North Carolina A&T State University) ;
  • Watkins, Meisha (Department of Industrial & Systems Engineering, North Carolina A&T State University)
  • Published : 2006.11.30

Abstract

Despite the government promoting women's participation in the engineering field, some statistics show that it has yet to be achieved. Potential reasons for this phenomenon include lower level of applications by women, or inherent gender gap in the professional field. Therefore, this study attempted to find impact of gender on college admission from the Lens Model perspective and Signal Detection Theory. This study consisted of three phases: identifying the necessary cues used in the admission process, analyzing existing data, and conducting two experiments to identify the effect of gender on admission decisions. Although the college application consisted of many cues, only five cues, school ranking, GPA, SAT score, resident status, and gender, were used to capture the officers' judgment policies for engineering admissions. Two experiments were conducted to investigate the impact of the gender factor in college admission. The enrollment officers first were presented with the existing data without the gender and asked to make dichotomous judgments. Secondly, the officers were asked to perform the judgment task with the gender cue present. Results showed that the gender did not play an important role in the judgments as expected. However, ideographical analyses on judgment strategies revealed that there were significant differences between the admission officers. Possible training implications are discussed.

Keywords

References

  1. Balzer, W. K., Doherty, M. E., & O'Connor, R. O. Jr., Effects of cognitive feedback on performance. Psychological Bulletin, 106, 410-433, 1989 https://doi.org/10.1037/0033-2909.106.3.410
  2. Bisantz, A. & Seong, Y., Assessment of operators' trust in and utilization of automated decision aids under different framing conditions. International Journal of Industrial Ergonomics, 53, 35-54, 2001
  3. Bix, A. S., Engineeresses' 'Invade' Campus: Four Decades of Debate over Technical Coeducation. IEEE Technology and Society Magazine. Vol 19(1), p. 20-26, 2000 https://doi.org/10.1109/44.828560
  4. Brunswik, E., The conceptual framework of psychology. Chicago: University of Chicago Press. 1952
  5. Campbell, P. B., Jolly, E., Hoey, L. & Perlman, L. K., Upping the Numbers: Using Research-Based Decision making to Increase Diversity in the Quantitative Disciplines. A Report Commissioned by the GE Foundation. 2002
  6. College Board., 2001 College Bound Seniors Are the Largest, Most Diverse Group in History More Than a Third Are Minority, But Gap Remains. College Board. 2005
  7. Cooksey, R., Judgment Analysis: Theory, Methods, and Applications. San Diego: Academic Press. 1996
  8. Dietz, J. S., Anderson, B. & Katzenmeyer, C., Women and the Crossroads of Science: Thoughts on Policy, Research, and Evaluation. Journal of Women and Minorities in Science and Engineering, 8, 395-408, 2002
  9. Dalgleish, L. I., Decision making in child abuse cases: Applications of social judgment theory and signal detection theory. In B. Brehmer, & C.R.B. Joyce (Eds.), Human judgments: The SJT view. Amsterdam: North-Holland-Elsevier, 317-360, 1988
  10. Doherty, M. E. and Balzer, W. K., Cognitive feedback. In B. Brehmer and C.R.B. Joyce (Eds.), Human Judgment: The SJT approach. Amsterdam: North-Holland. 1988
  11. Doherty, M. E. and Reilly, B. A., Assessing self-insight via policy capturing and cognitive feedback. In K.R. Hammond & T.R. Stewart (Eds.), The Essential Brunswik, p321-323. Oxford University Press. 2001
  12. Hammond, K. R., Stewart, T. R., Brehmer, B. & Steinman, D. O., Social judgment theory. In M. Kaplan & S. Schwartz (Eds.), Human judgment and decision processes. 271-312. Academic Press: New York. 1975
  13. Hodgkinson, L., Is Technology Masculine? Theorising the Absence of Women. IEEE Transactions, p.121-126. International Symposium on Technology and Society. (ISTAS'00). 2000
  14. Lewis, D., Probing Performance Gaps. Science, 308, June. 1871-1872, 2005 https://doi.org/10.1126/science.1112247
  15. National Science Foundation., Women, Minorities, and Persons with Disabilities in Science and Engineering. www.nsf.gov. 2006
  16. Sasser, J., Lineberry, G. T. & Scheff, S., Recruiting and retaining women in engineering: A Kentucky collaboration. 34th ASEE/IEEE Frontiers in Education Conference. Savannah, GA. 2004
  17. Seong, Y., Modeling human operators' judgment and trust in conjunction with automated decision aids. Unpublished doctoral dissertation at the State University of New York at Buffalo. 2002
  18. Seong, Y., Judgment under uncertainty and time pressure: Modeling and analysis of operators' judgments of customers' creditworthiness. Proceedings of the Human Factors & Ergonomics Society 50th Annual Meeting. Orlando, FL. 2002
  19. Seong, Y. & Bisantz, A., Judgment and trust in conjunction with automated decision aids: a theoretical model and empirical investigation. Paper presented at the Human Factors & Ergonomics Society 46th Annual Meeting. Baltimore, MD. 2000
  20. Seymour, E., The role of socialization in shaping the career-related choices of undergraduate women in science, mathematics, and engineering majors. Women in science and engineering: Choices for success. The annals of the New York Academy of Science, Vol. 869, 118-126, 1999 https://doi.org/10.1111/j.1749-6632.1999.tb08366.x
  21. Smith, M., It's Not a Fraternity Anymore'-Madeline Albright: Women in Engineering. Virginia Military Institute. IEEE-VMS Student Project Contest. 2001
  22. Swets, J. A., Signal detection theory and ROC analysis in psychology and diagnostics. Lawrence Erlbaum Associates. Mahwah, New Jersey. 1996
  23. Swets, J. A. & Pickett, R. M., Evaluation of diagnostic systems: Methods from signal detection theory. Academic Press: New York. 1982