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Measuring Teaching Quality in Higher Education: Assessing the Problem of Selection Bias in Course Evaluations

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  • Anna Salomons
  • Maarten Goos

Abstract

Student evaluations of teaching are widely used to measure teaching quality and compare it across different courses, teachers, departments and institutions: as such, they are of increasing importance for teacher promotion decisions as well as student course selection. However, the response on course evaluations is rarely perfect, rendering such uses unwarranted if students who participate in the evaluation are not randomly selected: this paper is the first to investigate this issue. We quantify the direction and size of selection on both observable and unobservable characteristics for a large European university where course evaluation response rates differ across courses. Our results suggest course evaluations are upward biased, and that this bias mostly derives from selection on characteristics unlikely to be observed by the typical university administrator. Correcting for selection bias has sizable effects on both scores in any given course and the evaluation-based ranking of different courses.

Suggested Citation

  • 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.
    • Handle: RePEc:use:tkiwps:1416
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    1. Braga, Michela & Paccagnella, Marco & Pellizzari, Michele, 2014. "Evaluating students’ evaluations of professors," Economics of Education Review, Elsevier, vol. 41(C), pages 71-88.
    2. Giuseppe De Luca & Valeria Perotti, 2011. "Estimation of ordered response models with sample selection," Stata Journal, StataCorp LP, vol. 11(2), pages 213-239, June.
    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. Heckman, James J, 1978. "Dummy Endogenous Variables in a Simultaneous Equation System," Econometrica, Econometric Society, vol. 46(4), pages 931-959, July.
    5. Florian Hoffmann & Philip Oreopoulos, 2009. "Professor Qualities and Student Achievement," The Review of Economics and Statistics, MIT Press, vol. 91(1), pages 83-92, February.
    6. Krautmann, Anthony C. & Sander, William, 1999. "Grades and student evaluations of teachers," Economics of Education Review, Elsevier, vol. 18(1), pages 59-63, February.
    7. Rosemary J. Avery & W. Keith Bryant & Alan Mathios & Hyojin Kang & Duncan Bell, 2006. "Electronic Course Evaluations: Does an Online Delivery System Influence Student Evaluations?," The Journal of Economic Education, Taylor & Francis Journals, vol. 37(1), pages 21-37, January.
    8. Scott E. Carrell & James E. West, 2010. "Does Professor Quality Matter? Evidence from Random Assignment of Students to Professors," Journal of Political Economy, University of Chicago Press, vol. 118(3), pages 409-432, June.
    9. Imberman, Scott A. & Lovenheim, Michael F., 2016. "Does the market value value-added? Evidence from housing prices after a public release of school and teacher value-added," Journal of Urban Economics, Elsevier, vol. 91(C), pages 104-121.
    10. Sartori, Anne E., 2003. "An Estimator for Some Binary-Outcome Selection Models Without Exclusion Restrictions," Political Analysis, Cambridge University Press, vol. 11(2), pages 111-138, April.
    11. Alfonso Miranda & Sophia Rabe-Hesketh, 2006. "Maximum likelihood estimation of endogenous switching and sample selection models for binary, ordinal, and count variables," Stata Journal, StataCorp LP, vol. 6(3), pages 285-308, September.
    12. Van de Ven, Wynand P. M. M. & Van Praag, Bernard M. S., 1981. "The demand for deductibles in private health insurance : A probit model with sample selection," Journal of Econometrics, Elsevier, vol. 17(2), pages 229-252, November.
    13. William E. Becker & William Bosshardt & Michael Watts, 2012. "How Departments of Economics Evaluate Teaching," The Journal of Economic Education, Taylor & Francis Journals, vol. 43(3), pages 325-333, July.
    14. 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.
    15. Cunha, Jesse M. & Miller, Trey, 2014. "Measuring value-added in higher education: Possibilities and limitations in the use of administrative data," Economics of Education Review, Elsevier, vol. 42(C), pages 64-77.
    16. Michael A McPherson & R Todd Jewell & Myungsup Kim, 2009. "What Determines Student Evaluation Scores? A Random Effects Analysis of Undergraduate Economics Classes," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 35(1), pages 37-51.
    17. Heckman, James J, 1974. "Shadow Prices, Market Wages, and Labor Supply," Econometrica, Econometric Society, vol. 42(4), pages 679-694, July.
    18. 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.
    19. 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.
    20. Bruce A. Weinberg & Masanori Hashimoto & Belton M. Fleisher, 2009. "Evaluating Teaching in Higher Education," The Journal of Economic Education, Taylor & Francis Journals, vol. 40(3), pages 227-261, July.
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    Cited by:

    1. 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.

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    Keywords

    Educational economics; Student evaluations of teaching; Education quality; Sample selection;
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