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Factors That Affect Teaching Scores in Economics Instruction: Analysis of Student Evaluation of Teaching (SET) Data

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Abstract

This paper explores the factors that affect students' evaluations of economics instructions using a sample of over 2400 completed questionnaires at a large Australian university. Ordered probit analysis is used to determine the changes in the predicted probability of teaching evaluation (TEVAL) scores with variations, amongst other things, in students� perceptions of the quality of presentation; explanation and organization of lecture material; and helping students improve their learning skills. Analyses of the comparative importance of the relationships both for undergraduate and postgraduate courses reveal significant differences across levels of the undergraduate program but little differences in students� responses in higher level undergraduate and postgraduate instructions. One disturbing finding is that a key variable, namely emphasis on thinking rather than memorizing (THINKMEM) has little or no substantive impact on TEVAL. Thus the implication is that high TEVALs can be achieved at the cost of some critically important factors in teaching and learning. Consequently, those using just TEVAL score to evaluate teaching need to look closely at other factors of critical importance.

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  • Mohammad Alauddin & Clem Tisdell, 2007. "Factors That Affect Teaching Scores in Economics Instruction: Analysis of Student Evaluation of Teaching (SET) Data," Discussion Papers Series 353, School of Economics, University of Queensland, Australia.
  • Handle: RePEc:qld:uq2004:353
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    File URL: https://economics.uq.edu.au/files/44487/353.pdf
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    1. Mohammad Alauddin & Clem Tisdell, 2000. "Changing Academic Environment And Teaching Of Economics At The University Level: Some Critical Issues Analysed With The Help Of Microeconomics," Economic Papers, The Economic Society of Australia, vol. 19(1), pages 1-17, March.
    2. Krautmann, Anthony C. & Sander, William, 1999. "Grades and student evaluations of teachers," Economics of Education Review, Elsevier, vol. 18(1), pages 59-63, February.
    3. Grace Chan & Paul W. Miller & MoonJoong Tcha, 2005. "Happiness in University Education," International Review of Economic Education, Economics Network, University of Bristol, vol. 4(1), pages 20-45.
    4. William E. Becker, 2000. "Teaching Economics in the 21st Century," Journal of Economic Perspectives, American Economic Association, vol. 14(1), pages 109-119, Winter.
    5. Gerrard, Bill, 1995. "The Scientific Basis of Economics: A Review of the Methodological Debates in Economics and Econometrics," Scottish Journal of Political Economy, Scottish Economic Society, vol. 42(2), pages 221-235, May.
    6. Sproule, Robert, 2002. "The underdetermination of instructor performance by data from the student evaluation of teaching," Economics of Education Review, Elsevier, vol. 21(3), pages 287-294, June.
    7. Mohammad Alauddin & James E. Butler, 2004. "Teaching economics in a changing university environment: Some Australian experience," International Journal of Social Economics, Emerald Group Publishing, vol. 31(7), pages 706-720, July.
    8. George A. Akerlof, 1970. "The Market for "Lemons": Quality Uncertainty and the Market Mechanism," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 84(3), pages 488-500.
    9. Griliches, Zvi, 1974. "Errors in Variables and Other Unobservables," Econometrica, Econometric Society, vol. 42(6), pages 971-998, November.
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