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dc.contributor.advisor Stevenson, Randolph T.
dc.creatorMiller, Elizabeth J.
dc.date.accessioned 2009-06-04T08:49:18Z
dc.date.available 2009-06-04T08:49:18Z
dc.date.issued 2006
dc.identifier.urihttps://hdl.handle.net/1911/18949
dc.description.abstract The goal of this project is to determine how well our current models of public opinion---the on-line and memory-based---predict the course of public opinion during political campaigns. Unfortunately, the dynamic implications of these public opinion models have not been explored to the point where they can provide an answer to this question and the dynamic implications of these models have not been leveraged in the empirical evaluation or theoretical refinement of the models themselves. My approach to this task is two-pronged. I first formalize the theoretical arguments into mathematical equations to produce dynamic maps of the movement of public opinion. Consequently, I test the theoretical models by collecting data on campaign communications in eight congressional and gubernatorial campaigns and use these data as the inputs in the equations. The result is a predicted course for public opinion over the campaign, given the campaign communications that actually occurred. I then examine public opinion data to evaluate which of the two models accurately predicts the course of public opinion over the campaign. The results suggest that neither model can adequately account for the dynamics of a political campaign; therefore, I suggest a path for future research aimed at understanding the relationship between memory for campaign information and candidate evaluation.
dc.format.extent 289 p.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.subjectPolitical science
dc.title Charting the course: A test of the dynamic implications of the on-line and memory-based models
dc.type.genre Thesis
dc.type.material Text
thesis.degree.department Political Science
thesis.degree.discipline Social Sciences
thesis.degree.grantor Rice University
thesis.degree.level Doctoral
thesis.degree.name Doctor of Philosophy
dc.identifier.citation Miller, Elizabeth J.. "Charting the course: A test of the dynamic implications of the on-line and memory-based models." (2006) Diss., Rice University. https://hdl.handle.net/1911/18949.


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