A framework for reconsidering the lake wobegon effect

Journal of Economic Education

Volumn 41, Issue 2, 2010, Pages 95-109

  Haley, M Ryan ^a   Johnson, Marianne F ^a   McGee, M Kevin ^a  

^a UNIVERSITY OF WISCONSIN OSHKOSH   (United States)

Author keywords

Education practice; Grade bias; Lake Wobegon Effect; Measurement error; Reliability ratio; Student survey data

Indexed keywords

EID: 77950284789     PISSN: 00220485     EISSN: None     Source Type: Journal    
DOI: 10.1080/00220481003617228     Document Type: Article

References (20)

1. Angrist, J., and A. Krueger. 1999. Empirical strategies in labor economics. In The handbook of labor economics, ed. O. Ashenfelter and D. Card, Vol.3A, 1277-1366. Oxford: Elsevier.
2. Ballard, C., and M. Johnson. 2005. Gender, expectations and grades in introductory microeconomics at a US university. Feminist Economics 11:95-122.
3. Becker, W. 1997. Teaching economics to undergraduates. Journal of Economic Literature 35:1347-1373
4. ---. 2004. Quantitative research on teaching methods in tertiary education. In The scholarship of teaching and learning in higher education: Contributions of research universities, ed. W. E. Becker and M. L. Andrews, 265-309. Bloomington: Indiana University Press.
5. Benedict, M., and J. Hoag. 2004. Seating location in large lectures: Are seating preferences of location related to course performance? Journal of Economic Education 35:215-231
6. Bound, J., C. Brown, and N. Mathiowetz. 2001. Measurement error in survey data. In Handbook of econometrics, ed. J. J. Heckman and E. Leamer, Vol.5, 3705-3843. Amsterdam: North Holland.
7. Bound, J., and A. Krueger. 1991. The extent of measurement error in longitudinal earnings data: Do two wrongs make a right? Journal of Labor Economics 9:1-24.
8. Card, D. 1999. The causal effect of education on earnings. In Handbook of labor economics, ed. O. Ashenfelter and D. Card, Vol.3A, 1801-1863 Oxford, U.K.: Elsevier.
9. Emerson, T., and B. Taylor. 2004. Comparing student achievement across experimental and lecture-oriented sections of a principles of microeconomics course. Southern Economics Journal 70:672-693
10. Grimes P., J. Lopus, R. Pearson, andW. Becker. 2007. Human subjects requirements and economic education researchers. American Economist 51:49-60.
11. Grove,W., T.Wasserman, andA.Grodner. 2006. Choosing a proxy for academic aptitude. Journal of Economic Education 37:131-147
12. Jensen, E., and A. Owen. 2003. Appealing to good students in introductory economics. Journal of Economic Education 34:299-325.
13. Johnson, M., and E. Kuennen. 2006. Basic math skills and performance in introductory statistics. Journal of Statistics Education 14. http://www.amstat.org/publications/jse/v14n2/johnson.html.
14. Kane, T., C. Rouse, and D. Staiger. 1999. Estimating returns to schooling when schooling is misreported. NBERWorking Paper No. 7235. National Bureau of Economic Research, Cambridge, MA, July 1999.
15. Kim, B., and G. Solon. 2005. Implications of mean-reverting measurement error for longitudinal studies of wages and employment. Review of Economics and Statistics 87:193-196
16. Maxwell, N., and J. Lopus. 1994. The Lake Wobegon effect in student self-reported data. American Economic Review Papers and Proceedings 84:201-205
17. Ono, H. 2004. College quality and earnings in the Japanese labor market. Industrial Relations 43:595-617.
18. Siegfried, J., and W. Walstad. 1998. Research on teaching college economics. In The principles of economics course: A handbook for instructors, ed. W. Walstad and P. Saunders, 41-166. New York: McGraw Hill.
19. Simkins, S., and S. Allen. 2001. Are learning outcomes in economics different at predominantly black and white universities? Lessons from principles of macroeconomics at two schools. Reviewof Black Political Economy 28:23-39.
20. Sosin, K., B. Blecha, R. Agarwal, R. Bartlett, and J. Daniel. 2004. Efficiency in the use of technology in economic education: Some preliminary results. American Economic Review Papers and Proceedings 94(May):253-258