Comparing the undergraduate experience of engineers to all other majors: Significant differences are programmatic

Journal of Engineering Education

Volumn 99, Issue 4, 2010, Pages 305-317

  Lichtenstein, Gary ^a   Mccormick, Alexander C ^b   Sheppard, Sheri D ^c   Puma, Jini ^d  

^a STANFORD UNIVERSITY   (United States)

^b INDIANA UNIVERSITY   (United States)

^c Stanford University   (United States)

^d UNIVERSITY OF COLORADO   (United States)

Author keywords

Persistence; Student engagement; Undergraduate major

Indexed keywords

CONCENTRATION (PROCESS); ECONOMIC AND SOCIAL EFFECTS; EDUCATION; ENGINEERING EDUCATION; SURVEYS;

BINARY LOGISTIC REGRESSION; EDUCATIONAL EXPERIENCES; HIGHER-ORDER THINKINGS; PERSISTENCE; PERSISTENCE IN ENGINEERINGS; STATISTICAL SIGNIFICANCE; STUDENT ENGAGEMENT; UNDERGRADUATE MAJOR;

STUDENTS;

EID: 77958100254     PISSN: 10694730     EISSN: None     Source Type: Journal    
DOI: 10.1002/j.2168-9830.2010.tb01065.x     Document Type: Article

References (37)

1. Adelman, C. 1998. Women and men of the engineering path: A model for analyses of academic careers. Washington, DC: U.S. Department of Education.
2. Arizona Board of Regents. 2007. Bachelor of arts in engineering website. http://www.sie.arizona.edu/BAE/info.html (last accessed, August 2010).
3. Astin, A.W. 1970. The methodology of research on college impact. Sociology of Education 43: 223-254
4. Astin, A.W. 1993. What matters in college? Four critical years revisited. San Francisco, CA: Jossey-Bass.
5. Brint, S., A.M. Cantwell, and R.A. Hanneman. 2008. The two cultures of undergraduate engagement. Research in Higher Education 49 (5): 383-402.
6. Cohen, J. 1973. Eta-squared and partial eta-squared in fixed factor ANOVA designs. Educational and Psychological Measurement 33 (1): 107-112
7. Cohen, J. 1977. Statistical power analysis for the behavioral sciences. New York: Academic Press.
8. Duderstadt, J. 2008. Engineering for a changing world: A roadmap for the future of engineering practice, research, and education. Ann Arbor: The University of Michigan.
9. Eris, Ö., H.L. Chen, K. Engerman, H. Loshbaugh, T. Bailey, G. Lichtenstein. 2005. A mixed methods approach to developing a survey instrument for identifying the fundamental factors that influence persistence in engineering. In Proceedings of the American Society for Engineering Education Annual Conference. Portland, Oregon.
10. Eris, Ö., H.L. Chen, D. Chachra, C. Rosca, L. Ludlow, S. Sheppard, K. Donaldson. 2007. A preliminary analysis of correlates of engineering persistence: Results from a longitudinal study. In Proceedings of the American Society for Engineering Education Annual Conference. Honolulu, Hawaii.
11. Felder, R.M., R.J. Beichner, L.E. Bernold, E.E. Burniston, P.R. Dail, and H. Fuller. 1998. Update on IMPEC: An integrated first-year engineering curriculum at N.C. State University. In Proceedings of the American Society for Engineering Education Conference and Exposition. Seattle, WA.
12. Good, M.L., M. Jones, L. Matsch,, C.D. Mote, Jr., and A. G. Ulsoy. 2007. The "5XME" workshop: Transforming mechanical engineering education and research in the USA. Arlington, VA: National Science Foundation.
13. Haase, R.F., D.M. Weachter, G.S. Solomon. 1982. How significant is a significant difference? Average effect size of research in counseling psychology. Journal of Counseling Psychology 29 (1): 58-65.
14. Kolb, D. 1981. Learning styles and disciplinary differences. In The modern American college, eds. Arthur W. Chickering and Associates. San Francisco, CA: Jossey-Bass.
15. Kuh, G. 2004. The National Survey of Student Engagement: Conceptual framework and overview of psychometric properties. Bloomington: Indiana Center for Postsecondary Research and Planning. http://nsse.iub.edu/2004-annual-report/ pdf/2004-Conceptual-Framework.pdf (last accessed, August 2010).
16. Knight, D.W., L.E. Carlson, J.F. Sullivan. 2007. Improving engineering student retention through hands-on, team based, firstyear design projects. In Proceedings of the International Conference on Research in Engineering Education. Honolulu, HI.
17. Lattuca, L., and J. Stark. 1995. Modifying the major: Discretionary thoughts from ten disciplines. Review of Higher Education 18 (3): 315.
18. McCormick, A., G.R. Pike, G.D. Kuh, and P.D. Chen. 2009. Comparing the utility of the 2000 and 2005 Carnegie classification systems in research on students' college experiences and outcomes. Research in Higher Education 50 (2): 144-167
19. McCormick, A., G. Lichtenstein, S. Sheppard, and J. Puma. Forthcoming. Is the supply of engineering majors a problem of many losses or few gains? Persistence and migration of engineering majors compared to other fields.
20. National Academy of Engineering. 2004. The engineer of 2020: Visions of engineering in the new century. Washington, DC: National Academies Press.
21. National Science Foundation. 1998. Crosswalk between NSF fields of science and engineering and the National Center for Education Statistics (NCES) classification of instructional programs. http://www.nsf.gov/statistics/rdexp96/ survmats/96qnaire/96xwalk 1.pdf (last accessed, August 2010).
22. National Science and Technology Council. 2000. Ensuring a strong U.S. scientific, technical, and engineering workforce in the 21st century. Washington, DC: Office of Science and Technology Policy.
23. National Survey of Student Engagement. 2009. History and partnerships: Our origins and potential. http://nsse.iub.edu/ html/origins.cfm (last accessed August 2010).
24. National Survey of Student Engagement. http://nsse.iub.edu (last accessed, August 2010).
25. Ohland, M., S. Sheppard, G. Lichtenstein, O. Eris, D. Chachra, and R. Layton, 2008. Persistence, engagement, and migration in engineering programs. Journal of Engineering Education 97 (3): 259-278
26. Ouimet, J.A., J.B. Bunnage, R.M. Carini, G. Kuh, and J. Kennedy. 2004. Using focus groups to establish the validity and reliability of a college student survey. Research in Higher Education 45 (3): 233-250
27. Pace, C.R. 1979. Measuring outcomes of college: Fifty years of findings and recommendations for the future. San Francisco, CA: Jossey-Bass.
28. Pierce, C., R. Block, and H. Aguinis. 2004. Cautionary note on reporting eta-squared values from multi-factor ANOVA designs. Educational and Psychological Measurement 64 (6): 916-924
29. Pike, G.R. 2006a. The convergent and discriminant validity of NSSE Scalelet Scores. Journal of College Student Development 47 (5): 551-564
30. Pike, G.R. 2006b. The dependability of NSSE Scalelets for college- and department-level assessment. Research in Higher Education 47 (2): 177-195
31. Sax, L. 2008. The gender gap in college: Maximizing the developmental potential of women and men. San Francisco, CA: Jossey-Bass.
32. Seymour, E., and N. Hewitt. 1994. Talking about learning: Factors contributing to high attrition rates among science, mathematics, and engineering undergraduate majors. Final Report to the Alfred P. Sloan Foundation on an Ethnographic Inquiry at Seven Institutions. Washington, DC: Alfred P. Sloan Foundation.
33. Seymour, E., and N. Hewitt. 1997. Talking about leaving: Why undergraduates leave the sciences. Boulder, CO: Westview.
34. Sheppard, S., K. Macatangay, A. Colby, W. Sullivan. 2008. Educating engineers: Designing for the future of the field. San Francisco, CA: Jossey-Bass.
35. Snyder, T.D., S.A. Dillow, and C.M. Hoffman. 2009. Digest of education statistics 2008. Washington, DC: U.S. Department of Education, National Center for Education Statistics (NCES 2009-020).
36. U.S. Department of Education. 2001. 2001 Baccalaureate and Beyond Longitudinal Study (B & B:2000/01). National Center for Education Statistics Data Analysis System. Results generated November 18, 2009. http://nces.ed.gov/ search/?output-xml-no-dtd&site-nces&client-nces&q-Baccalaureate-and- Beyond-Longitudinal-Study (last accessed, August 2010).
37. Vest, C. 2009. Charles Vest Remarks to 2009 NAE inductee class (October 4) in Irvine, CA. http://www.nae.edu/18185.aspx (last accessed, August 2010).