[go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/a/eee/ecoedu/v31y2012i1p141-154.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0272775711001695
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.econedurev.2011.10.002?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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.
    3. repec:hal:spmain:info:hdl:2441/1seuirq4ak9b9bouu1j29ebui7 is not listed on IDEAS
    4. 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.
    5. 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.
    6. 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.
    7. Anne Boring, 2015. "Gender Biases in student evaluations of teachers," Documents de Travail de l'OFCE 2015-13, Observatoire Francais des Conjonctures Economiques (OFCE).
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. Boring, Anne, 2017. "Gender biases in student evaluations of teaching," Journal of Public Economics, Elsevier, vol. 145(C), pages 27-41.
    17. 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.
    18. 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.
    19. Radchenko, Natalia, 2020. "Biases in Student Evaluations of Teaching: An American Case Study," IZA Discussion Papers 13603, Institute of Labor Economics (IZA).
    20. repec:spo:wpmain:info:hdl:2441/1seuirq4ak9b9bouu1j29ebui7 is not listed on IDEAS
    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. 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.
    3. 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.
    4. Carpio, Carlos E. & Harral, Bradi & Morales, Sarahi D. & Garcia, Manuel & Middleton, Marty R. & Boren-Alpizar, Amy, 2024. "Student evaluations of teaching and grades in university agricultural programs: A tale of two countries," 2024 Annual Meeting, July 28-30, New Orleans, LA 343854, Agricultural and Applied Economics Association.
    5. Horacio Matos-Díaz, 2014. "Measuring grade inflation and grade divergence accounting for student quality," Cogent Economics & Finance, Taylor & Francis Journals, vol. 2(1), pages 1-16, December.
    6. Beleche, Trinidad & Fairris, David & Marks, Mindy, 2012. "Do course evaluations truly reflect student learning? Evidence from an objectively graded post-test," Economics of Education Review, Elsevier, vol. 31(5), pages 709-719.
    7. Anne Boring, 2015. "Gender Biases in student evaluations of teachers," Documents de Travail de l'OFCE 2015-13, Observatoire Francais des Conjonctures Economiques (OFCE).
    8. James F. Ragan & Bhavneet Walia, 2010. "Differences in Student Evaluations of Principles and Other Economics Courses and the Allocation of Faculty across Courses," The Journal of Economic Education, Taylor & Francis Journals, vol. 41(4), pages 335-352, September.
    9. Gorry, Devon, 2017. "The impact of grade ceilings on student grades and course evaluations: Evidence from a policy change," Economics of Education Review, Elsevier, vol. 56(C), pages 133-140.
    10. 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.
    11. repec:hal:spmain:info:hdl:2441/1seuirq4ak9b9bouu1j29ebui7 is not listed on IDEAS
    12. 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.
    13. 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.
    14. repec:spo:wpmain:info:hdl:2441/1seuirq4ak9b9bouu1j29ebui7 is not listed on IDEAS
    15. R. Todd Jewell & Michael A. McPherson & Margie A. Tieslau, 2013. "Whose fault is it? Assigning blame for grade inflation in higher education," Applied Economics, Taylor & Francis Journals, vol. 45(9), pages 1185-1200, March.
    16. Cheng, Dorothy A., 2011. "Effects of class size on alternative educational outcomes across disciplines," Economics of Education Review, Elsevier, vol. 30(5), pages 980-990, October.
    17. 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.
    18. Joonmo Cho & Wonyoung Baek, 2019. "Identifying Factors Affecting the Quality of Teaching in Basic Science Education: Physics, Biological Sciences, Mathematics, and Chemistry," Sustainability, MDPI, vol. 11(14), pages 1-18, July.
    19. Tin-chun Lin, 2009. "Endogenous effects of midterm grades and evaluations: a simultaneous framework," Economics Bulletin, AccessEcon, vol. 29(3), pages 1731-1742.
    20. Tin-chun Lin, 2009. "Implications of grade inflation: knowledge illusion and economic inefficiency in the knowledge market," Economics Bulletin, AccessEcon, vol. 29(3), pages 2314-2324.
    21. Boring, Anne, 2017. "Gender biases in student evaluations of teaching," Journal of Public Economics, Elsevier, vol. 145(C), pages 27-41.
    22. Gaviria Alejandro & Alejandro Hoyos, 2008. "Determinantes de los resultados de las evaluaciones de profesores: el caso de la Universidad de los Andes," Revista Desarrollo y Sociedad, Universidad de los Andes,Facultad de Economía, CEDE, March.

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecoedu:v:31:y:2012:i:1:p:141-154. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/econedurev .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.