PoliticalFigures | R Documentation |
Does the American public actively differentiate political stimuli along ideological lines?. Dissimilarities among 13 political figurein the USA.
data("PoliticalFigures")
A data frame with the dissimilarities among 13 political figures in the USA.
G._W._Bush
a numeric vector with the dissimilarities with the other figures
John_Kerry
a numeric vector with the dissimilarities with the other figures
Ralph_Nader
a numeric vector with the dissimilarities with the other figures
Dick_Cheney
a numeric vector with the dissimilarities with the other figures
John_Edwards
a numeric vector with the dissimilarities with the other figures
Laura_Bush
a numeric vector with the dissimilarities with the other figures
Hillary_Clinton
a numeric vector with the dissimilarities with the other figures
Bill_Clinton
a numeric vector with the dissimilarities with the other figures
Colin_Powell
a numeric vector with the dissimilarities with the other figures
John_Ashcroft
a numeric vector with the dissimilarities with the other figures
John_McCain
a numeric vector with the dissimilarities with the other figures
Democ._Party
a numeric vector with the dissimilarities with the other figures
Repub._Party
a numeric vector with the dissimilarities with the other figures
We have taken information from the 2004 CPS American National Election Study. Specifically 711 NES respondents' feeling thermometer ratings of thirteen prominent political figures from the period of the 2004 election: George W. Bush; John Kerry; Ralph Nader; Richard Cheney; John Edwards; Laura Bush; Hillary Clinton; Bill Clinton; Colin Powell; John Ashcroft; John McCain; the Democratic party; and the Republican party. With the respondent scores, a dissimilarity among each pair of figures
Jacoby, W. G., & Armstrong, D. A. (2014). Bootstrap Confidence Regions for Multidimensional Scaling Solutions. American Journal of Political Science, 58(1), 264-278.
Jacoby, W. G., & Armstrong, D. A. (2014). Bootstrap Confidence Regions for Multidimensional Scaling Solutions. American Journal of Political Science, 58(1), 264-278.
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