Theoretical and Natural Science
- The Open Access Proceedings Series for Conferences
Theoretical and Natural Science
Vol. 34, 11 July 2024
Open
Access | Article
Reproduction of two studies discussing bias: Jury selection bias and Diving2000 findings
* Author to whom correspondence should be addressed.
Abstract
Unveiling the truths behind biases in critical decision-making processes has been an enduring challenge in various domains. This reproduction study endeavors to shed light on two intriguing topics: potential bias against education in jury selection and nationalistic judging in the 2000 Olympic diving competition. By rigorously reproducing influential papers and employing sophisticated statistical tools like t-tests and permutation tests, we aim to contribute robust evidence to the ongoing discourse on bias. Our findings challenge prevailing theories by revealing no statistically significant evidence of biases against education in jury selection, providing invaluable insights for policy discussions. Simultaneously, our investigation into nationalistic judging uncovers the presence of bias among certain judges, highlighting the impact on highly competitive events’ outcomes. As we delve into these compelling issues, our study reinforces the critical importance of impartiality in decision-making processes, offering key contributions to the understanding of biases and their implications in various domains. Our primary purpose in this paper is to precisely test the reproducibility of the methods employed in the original influential papers. By carefully reproducing their analyses using advanced statistical techniques like t-tests and permutation tests, we find that the reproducibility of both papers is quite high.
Keywords
bias, reproducibility, t-test, permutation-test, Jury selection, Nationalistic judging
References
1. Levin H Y, Emerson J. Is There a Bias Against Education in the Jury Selection Process?[J].Social Science Electronic Publishing, 2006, 38(3).
2. Emerson, J.W. and Meredith, S., 2011. Nationalistic judging bias in the 2000 Olympic diving competition. Math Horizons, 18(3).DOI: 10.4169/194762111X12954578042812.
3. Null R C T R, Team R, Null R C T, et al. R: A language and environment for statistical computing[J]. Computing, 2011, 1:12-21. DOI:10.1890/0012-9658(2002)083[3097:CFHIWS] 2.0.CO;2.
4. Reider, B. J ury Selection[J]. The American Journal of Sports Medicine, 2006, 34(4):541-541.DOI:10.1177/0363546506287183.
5. Zitzewitz E. Nationalism in Winter Sports Judging and Its Lessons for Organizational Decision Making[J].Journal of Economics & Management Strategy, 2006, 15(1):67–99.DOI:10.1111/j.1530-9134.2006.00092.x.
Data Availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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- Volume Title
- Proceedings of the 3rd International Conference on Computing Innovation and Applied Physics
- ISBN (Print)
- 978-1-83558-369-2
- ISBN (Online)
- 978-1-83558-370-8
- Published Date
- 11 July 2024
- Series
- Theoretical and Natural Science
- ISSN (Print)
- 2753-8818
- ISSN (Online)
- 2753-8826
- DOI
- 10.54254/2753-8818/34/20240761
- Copyright
- 11 July 2024
- Open Access
- This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited