One Person-No Vote; One Vote; Two Votes: Voting Methods, Ballot Types, and Undervote Frequency in the 2000 Presidential Election
Objectives. Political science long ignored the actual mechanics of voting—until the 2000 presidential contest. This research note offers a systematic empirical inquiry into the potential effects of various voting methods and electorate-specific variables on the rate at which citizens register a pref...
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Published in | Social science quarterly Vol. 83; no. 4; pp. 981 - 993 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Boston, USA and Oxford, UK
Blackwell Publishers Inc
01.12.2002
Blackwell Publishing Blackwell Southwestern Social Science Association Blackwell Publishing Ltd |
Series | Social Science Quarterly |
Subjects | |
Online Access | Get full text |
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Summary: | Objectives. Political science long ignored the actual mechanics of voting—until the 2000 presidential contest. This research note offers a systematic empirical inquiry into the potential effects of various voting methods and electorate-specific variables on the rate at which citizens register a preference via the act of voting. Methods. Voting methods were analyzed in relation to the rate of undervotes recorded in Georgia's 159 counties during the 2000 general election using a set of multivariate models. Results. Lever machines ana fill in the oval optical scan ballots are associated with lower rates of undervoting. Counties with large numbers of new registrants, lower education levels, and a higher proportion of African-American voters were found to have higher error rates. Conclusions. The results of this study provide strong evidence that voting methods and ballot types, as well as electorate-specific characteristics, are key factors in determining the error rate associated with the process of voting at the county level. |
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Bibliography: | istex:F5F0273FEEE64FF341B458D75001515E0BCC6B2E ArticleID:SSQU127 ark:/67375/WNG-7XTVT63M-S ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0038-4941 1540-6237 |
DOI: | 10.1111/1540-6237.00127 |