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Analyzing the Effects of Preprimary ...

Cuellar, Jarred.

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Analyzing the Effects of Preprimary Broadcast Media on Presidential Nominations from 1980-2016.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Analyzing the Effects of Preprimary Broadcast Media on Presidential Nominations from 1980-2016./
Author:	Cuellar, Jarred.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2017,
Description:	62 p.
Notes:	Source: Masters Abstracts International, Volume: 56-04.
Contained By:	Masters Abstracts International56-04(E).
Subject:	Political science. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10272044
ISBN:	9781369721256

Analyzing the Effects of Preprimary Broadcast Media on Presidential Nominations from 1980-2016.
Cuellar, Jarred.

Analyzing the Effects of Preprimary Broadcast Media on Presidential Nominations from 1980-2016. - Ann Arbor : ProQuest Dissertations & Theses, 2017 - 62 p.

Source: Masters Abstracts International, Volume: 56-04.

Thesis (M.A.)--University of Arkansas, 2017.

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.

ISBN: 9781369721256Subjects--Topical Terms:

528916
Political science.

Analyzing the Effects of Preprimary Broadcast Media on Presidential Nominations from 1980-2016.
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245 1 0 $a Analyzing the Effects of Preprimary Broadcast Media on Presidential Nominations from 1980-2016.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2017
300 $a 62 p.
500 $a Source: Masters Abstracts International, Volume: 56-04.
500 $a Adviser: Andrew J. Dowdle.
502 $a Thesis (M.A.)--University of Arkansas, 2017.
520 $a 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.
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