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, ISSN: 1559-0410, Vol: 13, Issue: 1, Page: 1-10
2017
- 2Citations
- 311Usage
- 8Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Metrics Details
- Citations2
- Citation Indexes2
- Usage311
- Downloads290
- Abstract Views21
- Captures8
- Readers8
Article Description
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).
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85016200620&origin=inward; http://dx.doi.org/10.1515/jqas-2016-0085; https://www.degruyter.com/document/doi/10.1515/jqas-2016-0085/html; http://www.degruyter.com/view/j/jqas.2017.13.issue-1/jqas-2016-0085/jqas-2016-0085.pdf; http://www.degruyter.com/view/j/jqas.2017.13.issue-1/jqas-2016-0085/jqas-2016-0085.xml; https://ecommons.luc.edu/math_facpubs/15; https://ecommons.luc.edu/cgi/viewcontent.cgi?article=1014&context=math_facpubs; https://www.degruyter.com/view/j/jqas.2017.13.issue-1/jqas-2016-0085/jqas-2016-0085.xml
Walter de Gruyter GmbH
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