Best vs. All: Equity and Accuracy of Standardized Test Score Reporting-Reference-Cited by-同舟云学术

Best vs. All: Equity and Accuracy of Standardized Test Score Reporting

Published:2022-06-20 Issue: Volume: Page:
ISSN:
Container-title:2022 ACM Conference on Fairness, Accountability, and Transparency
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Author:

Niu Mingzi¹,Kannan Sampath²,Roth Aaron²,Vohra Rakesh²

Affiliation:

1. Rice University, USA

2. University of Pennsylvania, USA

Funder

NSF

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3531146.3533121

Reference19 articles.

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2. Mark Braverman and Sumegha Garg. 2020. The Role of Randomness and Noise in Strategic Classification. arXiv preprint arXiv:2005.08377(2020). Mark Braverman and Sumegha Garg. 2020. The Role of Randomness and Noise in Strategic Classification. arXiv preprint arXiv:2005.08377(2020).

3. Alexandra Chouldechova . 2017. Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments. Big data 5, 2 ( 2017 ), 153–163. Alexandra Chouldechova. 2017. Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments. Big data 5, 2 (2017), 153–163.

4. Stephen Coate and Glenn C Loury. 1993. Will Affirmative-Action Policies Eliminate Negative Stereotypes?The American Economic Review(1993) 1220–1240. Stephen Coate and Glenn C Loury. 1993. Will Affirmative-Action Policies Eliminate Negative Stereotypes?The American Economic Review(1993) 1220–1240.

5. An Economic Argument for Affirmative Action

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