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Confidentially is Not Enough: Framing Effects in Student Evaluation of Economics Teaching

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  • Kieron J. Meagher

    (School of Economics, University of New South Wales)

Abstract

Contrary to previous research we show lack of anonymity is associated with large positive shifts in student evaluation of teaching. The results are consistent with the simple observation that due to higher expected future earning economics and business students have more at stake it terms of potential retaliation by an instructor. Our analysis is based on both a comparison of distributions and ordered probit multi-variate regression. These methods overcome the statistical problems associated with previous studies which looked at differences in means for ordinal responses.

Suggested Citation

  • Kieron J. Meagher, 2007. "Confidentially is Not Enough: Framing Effects in Student Evaluation of Economics Teaching," Discussion Papers 2007-14, School of Economics, The University of New South Wales.
    • Handle: RePEc:swe:wpaper:2007-14
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    File URL: http://wwwdocs.fce.unsw.edu.au/economics/Research/WorkingPapers/2007_14.pdf
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    References listed on IDEAS

    as
    1. Siegfried, John J & White, Kenneth J, 1973. "Financial Rewards to Research and Teaching: A Case Study of Academic Economists," American Economic Review, American Economic Association, vol. 63(2), pages 309-315, May.
    2. Moore, William J & Newman, Robert J & Turnbull, Geoffrey K, 1998. "Do Academic Salaries Decline with Seniority?," Journal of Labor Economics, University of Chicago Press, vol. 16(2), pages 352-366, April.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Evaluation; Bias; Survey design; Teaching economics;
    All these keywords.

    JEL classification:

    • A20 - General Economics and Teaching - - Economic Education and Teaching of Economics - - - General
    • A22 - General Economics and Teaching - - Economic Education and Teaching of Economics - - - Undergraduate
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access

    Statistics

    Access and download statistics

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