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.
","abstract_html":"<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>","abstract_has_math":false,"creators":["Cuellar, Jarred Ralston"],"institution":null,"degree_name":"Master of Arts in Political Science (MA)","degree_level":"Thesis","degree_discipline":null,"degree_department":null,"school":null,"contributors":["Dowe, Pearl K.","Mitchell, Joshua"],"advisors":["Dowdle, Andrew J."],"committee_chairs":[],"committee_members":[],"year":2017,"date_issued":"2017-05-01T07:00:00Z","date_published":"2017-05-01T07:00:00Z","updated_at":"2026-07-24T00:59:15Z","subjects":["Social sciences","Communication and the arts","Broadcast media","Preprimary","Presidential nominations","American Politics","Social Influence and Political Communication"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://scholarworks.uark.edu/etd/1884","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Dowe, Pearl K.","Mitchell, Joshua"]},{"key":"dc:contributor.advisor","label":"Advisor","values":["Dowdle, Andrew J."]},{"key":"dc:creator","label":"Author","values":["Cuellar, Jarred Ralston"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2017"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2017-09-29T07:00:00Z"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Arts in Political Science (MA)"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Social sciences","Communication and the arts","Broadcast media","Preprimary","Presidential nominations","American Politics","Social Influence and Political Communication"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://scholarworks.uark.edu/etd/1884"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["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.
"]},{"key":"dc:title","label":"Title","values":["Analyzing the Effects of Preprimary Broadcast Media on Presidential Nominations from 1980-2016"]}]}],"canonical_facts":{"dc:contributor":["Dowe, Pearl K.","Mitchell, Joshua"],"dc:contributor.advisor":["Dowdle, Andrew J."],"dc:creator":["Cuellar, Jarred Ralston"],"dc:date":["2017"],"dc:date.available":["2017-09-29T07:00:00Z"],"dc:description.abstract":["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.
"],"dc:identifier":["https://scholarworks.uark.edu/etd/1884"],"dc:subject":["Social sciences","Communication and the arts","Broadcast media","Preprimary","Presidential nominations","American Politics","Social Influence and Political Communication"],"dc:title":["Analyzing the Effects of Preprimary Broadcast Media on Presidential Nominations from 1980-2016"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["Master of Arts in Political Science (MA)"]},"updated_at":"2026-07-24T00:59:15Z"}