Differential Grading Standards and Student Incentives
Bibliographic Data
| ID | 11968698 |
|---|---|
| Authors | B Curtis Eaton (University of Calgary, Alberta, corresponding author), Mukesh Eswaran (0000-0001-6262-2882, University of Calgary, Alberta) |
| Year | 2008 |
| Volume | 34 |
| Issue | 2 |
| Pages | 215-236 |
| Publication date | 2008-06-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Canadian Public Policy (JOURNAL) |
| Journal identifiers | ISSN: 0317-0861 • E-ISSN: 1911-9917 |
| Publisher | University of Toronto Press Inc. (UTPress) (PUBLISHER) |
| DOI | 10.3138/cpp.34.2.215 |
| OpenAlex | W2113417838 |
| Language | EN |
| Citations received | 4 |
| References cited | 12 |
We present data on grades from three Canadian universities. These data suggest that grading standards differ significantly across disciplines within universities. To the extent that grading standards are not uniform across disciplines, the grade point averages (GPAs) of students with different course mixes cannot be meaningfully compared, and therefore their GPAs cannot legitimately be used to assess their relative achievement. Yet GPAs are used in precisely this way—to award scholarships, honours and degrees, and to ration access to courses, academic programs, and jobs. Hence, we think differential standards raise a fundamental issue of integrity for universities. We develop a simple human capital model to assess some of the distortions arising from differential standards and suggest some non-intrusive ways to rectify the problem
Academic achievement · Academic standards · Differential (mechanical device · Economic growth · Economics · Grading (engineering · Higher education · Human capital · Incentive · Mathematics education · Microeconomics · Political science · Computer Science · Engineering · Intergenerational and Educational Inequality Studies · Labor market dynamics and wage inequality · Law · Psychology · School Choice and Performance
| Unique citing works | 4 |
|---|---|
| Citations per year | 0,4 |
| Citation span | 2016 - 2025 (10) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 4 |