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Grades and incentives

Assessing Competing Grade Point Average Measures and Postgraduate Outcomes

Bibliographic Data

ID4096789
AuthorsMichael A Bailey (0000-0003-1575-2494, Georgetown University), Jeffrey S Rosenthal (0000-0002-5118-6808, University of Toronto, corresponding author), Albert H Yoon, Albert Yoon (0000-0002-5889-9827, University of Toronto)
Year2016
Volume41
Issue9
Pages1548-1562
Publication date2016-09-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueStudies in Higher Education (JOURNAL)
Journal identifiersISSN: 0307-5079 • E-ISSN: 1470-174X
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/03075079.2014.982528
OpenAlexW2017359170
LanguageEN
Citations received4
References cited19

In many educational settings, students may have an incentive to take courses where high grades are easier to achieve, potentially corroding student learning, evaluation of student achievement, and the fairness and efficiency of post-graduation labor outcomes. A grading system that takes into account heterogeneity of teacher standards and student ability could mitigate these problems. Using unique data from a major Canadian research university, we calculate student grade point averages (GPAs) net of course difficulty and find evidence that raw GPAs systematically distort student achievement across majors. We then link undergraduate performance and law school data. We find that adjusted GPAs better predict Law School Admissions Test scores, while the raw GPAs better predict admission to law school and grades in law school. These results suggest nuanced relationship between grades, incentives and subsequent academic outcomes. We conclude by discussing implications of our results for university leaders

Academic achievement · Curriculum · Economics · Entrance exam · Higher education · Incentive · Mathematics education · Medical education · Pedagogy · Student achievement · Engineering · Law, Economics, and Judicial Systems · Legal Education and Practice Innovations · Medicine · Occupational and Professional Licensing Regulation · Psychology

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Unique citing works4
Citations per year0,5
Citation span2018 - 2026 (9)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 4

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