IDEAS home Printed from https://ideas.repec.org/a/sae/sagope/v13y2023i4p21582440231209110.html
   My bibliography  Save this article

COVID-19 and Grade Inflation: Analysis of Undergraduate GPAs During the Pandemic

Author

Listed:
  • Jonathan A. Tillinghast
  • Dr. James W. Mjelde
  • Anna Yeritsyan

Abstract

The COVID-19 pandemic required adaptation to a new learning environment creating challenges for students and instructors. A reduction in student-teacher contact and the lack of supervision should have led to a decline in students’ academic performance. Nonetheless, studies report increases in grades during the pandemic. Yet, limited information is available regarding the persistence of this impact. This study utilizes a hierarchical mixed effect model to estimate the impact of the COVID-19 pandemic on university grades. Using unique class-level data containing chronological variables and institutional, instructor, and student characteristics, spanning Fall 2010 to Spring 2021 of 7,852 undergraduate classes, it is shown class average grade point averages (GPAs) in the College of Agriculture at Texas A&M University increased for the three semesters most impacted by COVID-19. Average class GPAs increased by 0.22 points in Spring 2020 because of COVID-19 and then approximately 0.18 points in the subsequent next two semesters. The negative effect of class size decreased during COVID-19, implying online classes have different size effects than traditional classes. Additionally, the positive effect of SAT scores on grades decreased. One implication of this study is that COVID-19 may not only have a direct, significant, impact on GPAs but may also indirectly affect GPAs through altering the effects of variables on GPAs. The causal mechanisms by which the changes occurred are an area for further research. JEL Codes: I21, I29

Suggested Citation

  • Jonathan A. Tillinghast & Dr. James W. Mjelde & Anna Yeritsyan, 2023. "COVID-19 and Grade Inflation: Analysis of Undergraduate GPAs During the Pandemic," SAGE Open, , vol. 13(4), pages 21582440231, November.
    • Handle: RePEc:sae:sagope:v:13:y:2023:i:4:p:21582440231209110
    DOI: 10.1177/21582440231209110
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/21582440231209110
    Download Restriction: no
    File URL: https://libkey.io/10.1177/21582440231209110?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
    ---><---

    References listed on IDEAS

    as
    1. Steven G. Rivkin & Eric A. Hanushek & John F. Kain, 2005. "Teachers, Schools, and Academic Achievement," Econometrica, Econometric Society, vol. 73(2), pages 417-458, March.
    2. David N. Figlio & Morton O. Schapiro & Kevin B. Soter, 2015. "Are Tenure Track Professors Better Teachers?," The Review of Economics and Statistics, MIT Press, vol. 97(4), pages 715-724, October.
    3. Kedagni, Desire & Krishna, Kala & Megalokonomou, Rigissa & Zhao, Yingyan, 2021. "Does class size matter? How, and at what cost?," European Economic Review, Elsevier, vol. 133(C).
    4. Timothy M. Diette & Manu Raghav, 2017. "Does early bird catch the worm or a lower GPA? Evidence from a liberal arts college," Applied Economics, Taylor & Francis Journals, vol. 49(33), pages 3341-3350, July.
    5. Yeritsyan, Anna & Mjelde, James W. & Litzenberg, Kerry K., 2022. "Grade Inflation or Grade Increase," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 54(2), pages 375-393, May.
    6. Hernández-Julián, Rey & Looney, Adam, 2016. "Measuring inflation in grades: An application of price indexing to undergraduate grades," Economics of Education Review, Elsevier, vol. 55(C), pages 220-232.
    7. Engelhardt, Bryan & Johnson, Marianne & Meder, Martin E., 2021. "Learning in the time of Covid-19: Some preliminary findings," International Review of Economics Education, Elsevier, vol. 37(C).
    8. Bettinger, Eric & Doss, Christopher & Loeb, Susanna & Rogers, Aaron & Taylor, Eric, 2017. "The effects of class size in online college courses: Experimental evidence," Economics of Education Review, Elsevier, vol. 58(C), pages 68-85.
    9. Bilen, Eren & Matros, Alexander, 2021. "Online cheating amid COVID-19," Journal of Economic Behavior & Organization, Elsevier, vol. 182(C), pages 196-211.
    10. Nicole M. Fortin & Philip Oreopoulos & Shelley Phipps, 2015. "Leaving Boys Behind: Gender Disparities in High Academic Achievement," Journal of Human Resources, University of Wisconsin Press, vol. 50(3), pages 549-579.
    11. Patterson, Richard W. & Patterson, Robert M., 2017. "Computers and productivity: Evidence from laptop use in the college classroom," Economics of Education Review, Elsevier, vol. 57(C), pages 66-79.
    12. Kokkelenberg, Edward C. & Dillon, Michael & Christy, Sean M., 2008. "The effects of class size on student grades at a public university," Economics of Education Review, Elsevier, vol. 27(2), pages 221-233, April.
    13. 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.
    14. Gerhard Sonnert & Mary Frank Fox, 2012. "Women, Men, and Academic Performance in Science and Engineering: The Gender Difference in Undergraduate Grade Point Averages," The Journal of Higher Education, Taylor & Francis Journals, vol. 83(1), pages 73-101, January.
    Full references (including those not matched with items on IDEAS)

    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. Oriana Bandiera & Valentino Larcinese & Imran Rasul, 2010. "Heterogeneous Class Size Effects: New Evidence from a Panel of University Students," Economic Journal, Royal Economic Society, vol. 120(549), pages 1365-1398, December.
    2. Groen, Jeffrey A. & Pabilonia, Sabrina Wulff, 2019. "Snooze or lose: High school start times and academic achievement," Economics of Education Review, Elsevier, vol. 72(C), pages 204-218.
    3. Keng, Shao-Hsun, 2020. "Gender bias and statistical discrimination against female instructors in student evaluations of teaching," Labour Economics, Elsevier, vol. 66(C).
    4. Kedagni, Desire & Krishna, Kala & Megalokonomou, Rigissa & Zhao, Yingyan, 2021. "Does class size matter? How, and at what cost?," European Economic Review, Elsevier, vol. 133(C).
    5. Matej Opatrny & Tomas Havranek & Zuzana Irsova & Milan Scasny, 2023. "Publication Bias and Model Uncertainty in Measuring the Effect of Class Size on Achievement," Working Papers IES 2023/19, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised May 2023.
    6. Kara, Elif & Tonin, Mirco & Vlassopoulos, Michael, 2021. "Class size effects in higher education: Differences across STEM and non-STEM fields," Economics of Education Review, Elsevier, vol. 82(C).
    7. Jalava, Nina & Joensen, Juanna Schrøter & Pellas, Elin, 2015. "Grades and rank: Impacts of non-financial incentives on test performance," Journal of Economic Behavior & Organization, Elsevier, vol. 115(C), pages 161-196.
    8. Chingos, Matthew M., 2012. "The impact of a universal class-size reduction policy: Evidence from Florida's statewide mandate," Economics of Education Review, Elsevier, vol. 31(5), pages 543-562.
    9. Shao-Hsun Keng, 2018. "Tenure system and its impact on grading leniency, teaching effectiveness and student effort," Empirical Economics, Springer, vol. 55(3), pages 1207-1227, November.
    10. Deborah A. Cobb-Clark & Julie Moschion, 2017. "Gender gaps in early educational achievement," Journal of Population Economics, Springer;European Society for Population Economics, vol. 30(4), pages 1093-1134, October.
    11. Tian, Zhilei & Wei, Yi & Li, Fang, 2019. "Who are better teachers? The effects of tenure-track and part-time faculty on student achievement," China Economic Review, Elsevier, vol. 53(C), pages 140-151.
    12. Murphy, Richard & Weinhardt, Felix & Wyness, Gill, 2021. "Who teaches the teachers? A RCT of peer-to-peer observation and feedback in 181 schools," Economics of Education Review, Elsevier, vol. 82(C).
    13. Michael Podgursky, 2006. "Is Teacher Pay Adequate?," Working Papers 0601, Department of Economics, University of Missouri.
    14. Battaglia, Marianna & Lebedinski, Lara, 2015. "Equal Access to Education: An Evaluation of the Roma Teaching Assistant Program in Serbia," World Development, Elsevier, vol. 76(C), pages 62-81.
    15. Huong Thu Le & Ha Trong Nguyen, 2018. "The evolution of the gender test score gap through seventh grade: new insights from Australia using unconditional quantile regression and decomposition," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 7(1), pages 1-42, December.
    16. Dan Goldhaber & Roddy Theobald, 2013. "Managing the Teacher Workforce in Austere Times: The Determinants and Implications of Teacher Layoffs," Education Finance and Policy, MIT Press, vol. 8(4), pages 494-527, October.
    17. Daniel S. Hamermesh & Katie R. Genadek & Michael C. Burda, 2021. "Racial/Ethnic Differences in Non-Work at Work," ILR Review, Cornell University, ILR School, vol. 74(2), pages 272-292, March.
    18. Matthew A. Kraft & John P. Papay & Olivia L. Chi, 2020. "Teacher Skill Development: Evidence from Performance Ratings by Principals," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 39(2), pages 315-347, March.
    19. Paul Anand & Jere R. Behrman & Hai-Anh H. Dang & Sam Jones, 2018. "Inequality of opportunity in education: Accounting for the contributions of Sibs, schools and sorting across East Africa," Working Papers 480, ECINEQ, Society for the Study of Economic Inequality.
    20. Norman Gemmell & Patrick Nolan & Grant Scobie, 2017. "Public sector productivity: Quality adjusting sector-level data on New Zealand schools," Working Papers 2017/02, New Zealand Productivity Commission.

    More about this item

    Keywords

    grade inflation; grade increase; COVID-19; mixed effects model; GPAs;
    All these keywords.

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I29 - Health, Education, and Welfare - - Education - - - Other

    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:sae:sagope:v:13:y:2023:i:4:p:21582440231209110. 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: SAGE Publications (email available below). General contact details of provider: .

    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.