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Methodology, Statistics, and Voting Error: An Exploration of 2000 Presidential Election Data in Two States
Author(s) -
Miller Geralyn M.
Publication year - 2005
Publication title -
policy studies journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.773
H-Index - 69
eISSN - 1541-0072
pISSN - 0190-292X
DOI - 10.1111/j.1541-0072.2005.00087.x
Subject(s) - voting , presidential election , disapproval voting , first past the post voting , ranked voting system , anti plurality voting , cardinal voting systems , group voting ticket , instant runoff voting , computer science , political science , econometrics , bullet voting , statistics , computer security , economics , law , politics , mathematics
In the wake of the voting controversy of Election 2000, along with passage of a congressional measure designed to fix what many believe is an ailing voting system, research into the impact of voting equipment on residual voting error has become a crucial question as the states prepare to replace existing voting equipment through the use of matching federal funds, to adjust existing equipment, or to face yet more lawsuits. Most existent studies into the link between voting equipment and residual voting error have concentrated on voting equipment across the states rather than within the individual states, generating results that are subject to a possible aggregation bias. Using a variety of statistical techniques, data on Election 2000 U.S. presidential and U.S. senatorial races are analyzed in an attempt to determine the impact of voting equipment on the voting error levels intrastate in those races. This study presents analysis of two sets of state data, Wyoming and Pennsylvania, and is used to argue that the infamous punch‐card voting equipment may not be a significant contributor to an increase in voter error when analyzing intrastate, contrary to existing research that indicates it is significant when analyzed across multiple states. This research underscores the importance of researchers’ ideological perspectives in application of statistical methodology to the American policy arena.