EconPapers    
Economics at your fingertips  
 

‘Making it count’: incentives, student effort and performance

Arnaud Chevalier, Peter Dolton and Melanie Lührmann

Journal of the Royal Statistical Society Series A, 2018, vol. 181, issue 2, 323-349

Abstract: The paper examines how incentives to participate in on†line assessments (quizzes) affect students’ effort and performance. Our identification strategy exploits within†student weekly variation in incentives to attempt on†line quizzes. We find that tournament incentives and participation incentives are ineffective in increasing quiz participation. In contrast, making the quiz count towards the final grade substantially increases participation. We find no evidence of displacement of effort between weeks. Using a natural experiment which provides variation in assessment weighting of the quizzes between two cohorts, we find that affected students obtain better examination grades. We estimate the return to 10% assessment weighting to be around 0.27 of a standard deviation in the in†term examination grade. We find no evidence that assessment weighting has unintended consequences, i.e. that increased quiz effort displaces effort over the year, reduces other forms of effort or reduces (effort and thus) performance in other courses. Finally, assessment weighting induced effort increases most for students at and below median ability, resulting in a reduction of the grade gap by 17%.

Date: 2018
References: Add references at CitEc
Citations: Track citations by RSS feed

Downloads: (external link)
https://doi.org/10.1111/rssa.12278

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bla:jorssa:v:181:y:2018:i:2:p:323-349

Ordering information: This journal article can be ordered from
http://ordering.onli ... 1111/(ISSN)1467-985X

Access Statistics for this article

Journal of the Royal Statistical Society Series A is currently edited by A. Chevalier and L. Sharples

More articles in Journal of the Royal Statistical Society Series A from Royal Statistical Society Contact information at EDIRC.
Bibliographic data for series maintained by Wiley Content Delivery ().

 
Page updated 2019-10-12
Handle: RePEc:bla:jorssa:v:181:y:2018:i:2:p:323-349