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Estimating the impact of relative expected grade on student evaluations of teachers

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  • Ewing, Andrew M.

Abstract

Grade inflation over the past few decades has been a concern for many universities. Course evaluation scores are known to be positively correlated with students’ expected grades, and this paper tests whether or not there is an incentive for the instructor to “buy” higher evaluation scores by inflating grades. To test this hypothesis, I use unique data from the University of Washington's Office of Educational Assessment that includes a measure of each student's relative expected grade in the course. I find that there is an incentive for instructors to grade leniently after accounting for the potential endogeneity of the relative expected grade variable due to unobserved teacher productivity and unobserved heterogeneity of instructors and departments. Instructor fixed effects account for a significant part of the measured effect of relative expected grade on evaluations, and by not including them, the estimated impact of relative expected grade on evaluations is biased upwards.

Suggested Citation

  • Ewing, Andrew M., 2012. "Estimating the impact of relative expected grade on student evaluations of teachers," Economics of Education Review, Elsevier, vol. 31(1), pages 141-154.
  • Handle: RePEc:eee:ecoedu:v:31:y:2012:i:1:p:141-154
    DOI: 10.1016/j.econedurev.2011.10.002
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    1. Edward P. Lazear & Paul Oyer, 2012. "Personnel Economics [The Handbook of Organizational Economics]," Introductory Chapters,, Princeton University Press.
    2. Hamermesh, Daniel S. & Parker, Amy, 2005. "Beauty in the classroom: instructors' pulchritude and putative pedagogical productivity," Economics of Education Review, Elsevier, vol. 24(4), pages 369-376, August.
    3. Michael A. McPherson, 2006. "Determinants of How Students Evaluate Teachers," The Journal of Economic Education, Taylor & Francis Journals, vol. 37(1), pages 3-20, January.
    4. Edward P. Lazear, 1995. "Personnel Economics," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262121883, April.
    5. Krautmann, Anthony C. & Sander, William, 1999. "Grades and student evaluations of teachers," Economics of Education Review, Elsevier, vol. 18(1), pages 59-63, February.
    6. Becker, William E. & Powers, John R., 2001. "Student performance, attrition, and class size given missing student data," Economics of Education Review, Elsevier, vol. 20(4), pages 377-388, August.
    7. Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
    8. Herbert W. Marsh & John Hattie, 2002. "The Relation between Research Productivity and Teaching Effectiveness," The Journal of Higher Education, Taylor & Francis Journals, vol. 73(5), pages 603-641, September.
    9. Clifford Nowell & Richard M. Alston, 2007. "I Thought I Got an A! Overconfidence Across the Economics Curriculum," The Journal of Economic Education, Taylor & Francis Journals, vol. 38(2), pages 131-142, April.
    10. Langbein, Laura, 2008. "Management by results: Student evaluation of faculty teaching and the mis-measurement of performance," Economics of Education Review, Elsevier, vol. 27(4), pages 417-428, August.
    11. Donald G. Freeman, 1999. "Grade Divergence as a Market Outcome," The Journal of Economic Education, Taylor & Francis Journals, vol. 30(4), pages 344-351, December.
    12. Paul Isely & Harinder Singh, 2005. "Do Higher Grades Lead to Favorable Student Evaluations?," The Journal of Economic Education, Taylor & Francis Journals, vol. 36(1), pages 29-42, January.
    13. Richard Sabot & John Wakeman-Linn, 1991. "Grade Inflation and Course Choice," Journal of Economic Perspectives, American Economic Association, vol. 5(1), pages 159-170, Winter.
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    Cited by:

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    2. Cho, Donghun & Baek, Wonyoung & Cho, Joonmo, 2015. "Why do good performing students highly rate their instructors? Evidence from a natural experiment," Economics of Education Review, Elsevier, vol. 49(C), pages 172-179.
    3. Donghun Cho & Joonmo Cho, 2017. "Does More Accurate Knowledge of Course Grade Impact Teaching Evaluation?," Education Finance and Policy, MIT Press, vol. 12(2), pages 224-240, Spring.
    4. Angelo Antoci & Irene Brunetti & Pierluigi Sacco & Mauro Sodini, 2021. "Student evaluation of teaching, social influence dynamics, and teachers’ choices: An evolutionary model," Journal of Evolutionary Economics, Springer, vol. 31(1), pages 325-348, January.
    5. Anne Boring, 2015. "Gender Biases in student evaluations of teachers," Documents de Travail de l'OFCE 2015-13, Observatoire Francais des Conjonctures Economiques (OFCE).
    6. Mary R Hedges & Don Webber, 2012. "Using student evaluations to improve individual and department teaching qualities," Working Papers 20121205, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.
    7. Wagner, N. & Rieger, M. & Voorvelt, K.J., 2016. "Gender, ethnicity and teaching evaluations : Evidence from mixed teaching teams," ISS Working Papers - General Series 617, International Institute of Social Studies of Erasmus University Rotterdam (ISS), The Hague.
    8. Anna Salomons & Maarten Goos, 2014. "Measuring Teaching Quality in Higher Education: Assessing the Problem of Selection Bias in Course Evaluations," Working Papers 14-16, Utrecht School of Economics.
    9. Angelo Antoci & Irene Brunetti & Pierluigi Sacco & Mauro Sodini, 2017. "Student Evaluation of Teaching (SET), social influence dynamics, and teachers' choices: An evolutionary model," Discussion Papers 2017/225, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
    10. S. Koza Ciftci & Engin Karadag, 2024. "Grade inflation effects of capacity expansion in higher education: a longitudinal study in undergraduate teacher education programs from 2003 to 2022," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-9, December.
    11. Paul Kingsley & Taly Sharon, 2014. "Business and Academic Interests in the Maintenance of Standards in Online Higher Education," SAGE Open, , vol. 4(4), pages 21582440145, December.
    12. Aurora Garc𫑇allego & Nikolaos Georgantz & Joan Mart󻑍ontaner & Teodosio P鲥z-Amaral, 2015. "(How) Do research and administrative duties affect university professors' teaching?," Applied Economics, Taylor & Francis Journals, vol. 47(45), pages 4868-4883, September.
    13. Dirk S. Yandell, 2017. "Grade Expectations and Overconfidence: Is Economics Different?," Journal for Economic Educators, Middle Tennessee State University, Business and Economic Research Center, vol. 17(2), pages 18-28, Fall.
    14. Berezvai, Zombor & Lukáts, Gergely Dániel & Molontay, Roland, 2019. "A pénzügyi ösztönzők hatása az egyetemi oktatók osztályozási gyakorlatára [How financially rewarding student evaluation may affect grading behaviour. Evidence from a natural experiment]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(7), pages 733-750.
    15. Maarten Goos & Anna Salomons, 2017. "Measuring teaching quality in higher education: assessing selection bias in course evaluations," Research in Higher Education, Springer;Association for Institutional Research, vol. 58(4), pages 341-364, June.
    16. Rieger, Matthias & Voorvelt, Katherine, 2016. "Gender, ethnicity and teaching evaluations: Evidence from mixed teaching teamsAuthor-Name: Wagner, Natascha," Economics of Education Review, Elsevier, vol. 54(C), pages 79-94.
    17. Berezvai, Zombor, 2023. "Az érdemjegy torzító hatása a hallgatói véleményezési rendszerekben. Egy természetes kísérlet eredményei [How to reduce the grade bias in student evaluation systems? A natural experiment]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(7), pages 795-812.
    18. Boring, Anne, 2017. "Gender biases in student evaluations of teaching," Journal of Public Economics, Elsevier, vol. 145(C), pages 27-41.
    19. Radchenko, Natalia, 2020. "Biases in Student Evaluations of Teaching: An American Case Study," IZA Discussion Papers 13603, Institute of Labor Economics (IZA).
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    21. Lütkenhöner, Laura, 2013. "Können sich Hochschuldozenten bessere studentische Lehrevaluationen "erkaufen"?," Discussion Papers of the Institute for Organisational Economics 7/2013, University of Münster, Institute for Organisational Economics.

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    More about this item

    Keywords

    Student evaluations of teachers; Grades;

    JEL classification:

    • I20 - Health, Education, and Welfare - - Education - - - General
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions

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