University of Arkansas
Analyzing the Effects of Preprimary Broadcast Media on Presidential Nominations from 1980-2016
Abstract
dc:description.abstract<p>This study attempts to discover if broadcast media released during the preprimary period has an effect on the Presidential nomination process, and if so in what way? Several OLS regression models, based on Randall Adkins and Andrew Dowdle’s Presidential nomination forecasting models, were created as an attempt to not only find a statistically significant effect between broadcast media and aggregate vote percentage, but also in an effort to create more effective forecasts. I have drawn my sample from every open nomination race dating back to 1980, and used both cable and network broadcasting sources. I have covered not only the effects of broadcast media on forecasting, but its effects on the preprimary and primary process as a whole.</p>
Degree
thesis:*- Name thesis:degree_name
- Master of Arts in Political Science (MA)
- Level thesis:degree_level
- Thesis
- Year dc:date.available
- 2017
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Cuellar, Jarred Ralston
- Advisor dc:contributor.advisor
-
- Dowdle, Andrew J.
- Contributors dc:contributor
-
- Dowe, Pearl K.
- Mitchell, Joshua
Subjects
dc:subject × 7Identifiers
dc:identifier.*- Repository record dc:identifier
- https://scholarworks.uark.edu/etd/1884
- OAI identifier oai:identifier
- oai:scholarworks.uark.edu:etd-3423