Defining Policy Issues: The Dynamics of Information Processing and Issue Definitions

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dc.contributor.advisorJenkins-Smith, Hank
dc.creatorNowlin, Matthew C.
dc.date.accessioned2019-04-27T21:39:34Z
dc.date.available2019-04-27T21:39:34Z
dc.date.issued2013
dc.description.abstractThis dissertation examines how information is translated into issue
dc.description.abstractdefinitions. Issue definitions---the way that policy issues are
dc.description.abstractunderstood---have long been noted to be important for policy
dc.description.abstractchoices. In this project, I develop a model of issue definitions where
dc.description.abstractissues are understood as a function of the various dimensions of the
dc.description.abstractissue weighted by the importance of each dimension. I then incorporate
dc.description.abstractthis model into the theory of information processing developed by
dc.description.abstractJones and Baumgartner (2005). The theory of information processing
dc.description.abstractposits that information can be understood as signals in the
dc.description.abstractpolicymaking environment, and information processing is the collection
dc.description.abstractand prioritizing of those signals. In this dissertation, I model
dc.description.abstractthese information signals as the salience of each dimension of an
dc.description.abstractissue.
dc.description.abstractUsing the case of used nuclear fuel (UNF) management, this dissertation test
dc.description.abstracthypotheses about the nature of issue definitions and policy change,
dc.description.abstractinstitutions, and policy actors. Specifically, I estimate the
dc.description.abstractdimensions of the UNF issue using latent Dirichlet allocation, a type
dc.description.abstractof quantitative text analysis. Following the development of the UNF
dc.description.abstractdimensions, I test hypotheses about how the salience of these dimensions are related
dc.description.abstractto policy change, how institutional structures influence dimension
dc.description.abstractsalience, and how policy actors systematically highlight some
dc.description.abstractdimensions over others.
dc.format.extent140 pages
dc.format.mediumapplication.pdf
dc.identifier9962529102042
dc.identifier.urihttps://hdl.handle.net/11244/319286
dc.languageen_US
dc.relation.requiresAdobe Acrobat Reader
dc.subjectPolitical planning
dc.subjectPolitical science--Decision making
dc.subjectPolicy sciences
dc.thesis.degreePh.D.
dc.titleDefining Policy Issues: The Dynamics of Information Processing and Issue Definitions
dc.typetext
dc.typedocument
ou.groupCollege of Arts and Sciences::Department of Political Science

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