Document Type
Article
Publication Date
3-2017
Publication Title
Journal of Quantitative Analysis in Sports
Volume
13
Issue
1
Pages
1-10
Abstract
Each year the members of the Baseball Writers Association of America (BBWAA) vote for eligible former players to be inducted into the Baseball Hall of Fame. The BBWAA tabulates and releases vote totals, but individual ballots remain private. However, many voters forgo their ballot privacy to publish their ballots through various media channels. These publicly available ballots can be aggregated to create a subset of the true ballots. Using these released ballots and the totals released by the BBWAA, this research assesses what can be learned about the group of voters who chose to not disclose their ballot. Attributes of the known and unknown ballot groups are studied by looking at differences in voting preference for individual players as well as voting differences between classes of voters that are defined using latent class analysis (LCA).
Recommended Citation
Matthews, Gregory J.; Silva Estrela Tuy, Pétala Gardênia da; and Arthur, Robert K.. An Examination of Statistical Disclosure Issues Related to Publication of Aggregate Statistics in the Presence of a Known Subset of the Dataset Using Baseball Hall of Fame Ballots. Journal of Quantitative Analysis in Sports, 13, 1: 1-10, 2017. Retrieved from Loyola eCommons, Mathematics and Statistics: Faculty Publications and Other Works, http://dx.doi.org/10.1515/jqas-2016-0085
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License.
Copyright Statement
© Walter de Gruyter GmbH, Berlin/Boston 2017
Comments
Author Posting. © Walter de Gruyter GmbH, Berlin/Boston 2017. This article is posted here by permission of Walter de Gruyter GmbH for personal use, not for redistribution. The article was published in the Journal of Quantitative Analysis in Sports, vol. 13, no. 1, 2017, https://doi.org/10.1515/jqas-2016-0085.