How can we reduce bias during an academic assessment reappraisal?. (2nd November 2019)
- Record Type:
- Journal Article
- Title:
- How can we reduce bias during an academic assessment reappraisal?. (2nd November 2019)
- Main Title:
- How can we reduce bias during an academic assessment reappraisal?
- Authors:
- Desy, Janeve
Coderre, Sylvain
Davis, Melinda
Cusano, Ronald
McLaughlin, Kevin - Abstract:
- Abstract: Aims: To describe potential sources of bias during an academic assessment reappraisal and ways to mitigate these. Methods: We describe why the typical scenario of an academic assessment reappraisal – where committee members are asked to weigh contrasting accounts of past events that they did not witness, and to rate elusive constructs, such as "fairness" – is prone to multiple types of bias, including attribute substitution, default bias, confirmation bias, and impact bias . We also discuss how increased awareness of sources of bias and of debiasing strategies can improve the validity of decision making. Results: Strategies that can reduce bias in reappraisal include clearly articulating and focusing on the reappraisal question ( did bias cause a wrong decision to be made? ), educating those involved in the reappraisal of the types of bias that frequently occur in teaching and assessment (including biases that they themselves may introduce to the reappraisal), and ensuring that those involved in the reappraisal contribute equally to making decisions and recommendation. Conclusions: All academic assessments of students, particularly those that involve subjective ratings of performance, are prone to bias, which threatens the integrity of the assessment process. Given the high stakes of academic assessments, we feel that each medical school should have a process for assessment reappraisal that reduces, rather than compounds, the likelihood of wrong assessmentAbstract: Aims: To describe potential sources of bias during an academic assessment reappraisal and ways to mitigate these. Methods: We describe why the typical scenario of an academic assessment reappraisal – where committee members are asked to weigh contrasting accounts of past events that they did not witness, and to rate elusive constructs, such as "fairness" – is prone to multiple types of bias, including attribute substitution, default bias, confirmation bias, and impact bias . We also discuss how increased awareness of sources of bias and of debiasing strategies can improve the validity of decision making. Results: Strategies that can reduce bias in reappraisal include clearly articulating and focusing on the reappraisal question ( did bias cause a wrong decision to be made? ), educating those involved in the reappraisal of the types of bias that frequently occur in teaching and assessment (including biases that they themselves may introduce to the reappraisal), and ensuring that those involved in the reappraisal contribute equally to making decisions and recommendation. Conclusions: All academic assessments of students, particularly those that involve subjective ratings of performance, are prone to bias, which threatens the integrity of the assessment process. Given the high stakes of academic assessments, we feel that each medical school should have a process for assessment reappraisal that reduces, rather than compounds, the likelihood of wrong assessment decisions. … (more)
- Is Part Of:
- Medical teacher. Volume 41:Number 11(2019)
- Journal:
- Medical teacher
- Issue:
- Volume 41:Number 11(2019)
- Issue Display:
- Volume 41, Issue 11 (2019)
- Year:
- 2019
- Volume:
- 41
- Issue:
- 11
- Issue Sort Value:
- 2019-0041-0011-0000
- Page Start:
- 1315
- Page End:
- 1318
- Publication Date:
- 2019-11-02
- Subjects:
- Medical education -- Periodicals
610.711 - Journal URLs:
- http://informahealthcare.com/journal/mte ↗
http://informahealthcare.com ↗ - DOI:
- 10.1080/0142159X.2019.1638503 ↗
- Languages:
- English
- ISSNs:
- 0142-159X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5531.965000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 11863.xml