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Unequal Funding: Subsidization Predi...

Christner, Thomas Edward.

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Unequal Funding: Subsidization Prediction in University Athletics.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Unequal Funding: Subsidization Prediction in University Athletics./
Author:	Christner, Thomas Edward.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2020,
Description:	271 p.
Notes:	Source: Dissertations Abstracts International, Volume: 82-01, Section: A.
Contained By:	Dissertations Abstracts International82-01A.
Subject:	Higher education. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27999143
ISBN:	9798607368968

Unequal Funding: Subsidization Prediction in University Athletics.
Christner, Thomas Edward.

Unequal Funding: Subsidization Prediction in University Athletics. - Ann Arbor : ProQuest Dissertations & Theses, 2020 - 271 p.

Source: Dissertations Abstracts International, Volume: 82-01, Section: A.

Thesis (Ed.D.)--Grand Canyon University, 2020.

This item must not be sold to any third party vendors.

The purpose of this quantitative correlational study was to determine if and to what extent the external revenue production of the bottom 90% of NCAA Division I universities can predict the subsidization granted to their respective athletic departments. The theoretical foundation for the study includes the theory of academic capitalism and expenditure cascades model. Four research questions were included: To what extent do Contributions predict Subsidies that athletic programs receive from the individual universities, controlling for the other predictors of MR/LA and Ticket Sales? To what extent do MR/LA predict Subsidies that athletic programs receive from the individual universities, controlling for the other predictors of Contributions and Ticket Sales? To what extent do Ticket Sales predict Subsidies that athletic programs receive from the individual universities, controlling for the other predictors of Contributions and MR/LA? Do Contributions, MR/LA, and Ticket Sales statistically significantly predict Subsidies that athletic programs receive from the individual universities when entered into a regression analysis? The sample included NCAA Division I public universities in the bottom 90% of revenue production that field men's basketball. Results suggest that, individually, the three external revenues do predict Subsidies and that when the three external revenues increased individually Subsidies decreased. When the three external revenues were examined together there was a statistically significant prediction model, but a change in Contributions, MR/LA, and Ticket Sales could not be linked to change in Subsidies.

ISBN: 9798607368968Subjects--Topical Terms:

641065
Higher education.
Subjects--Index Terms:

External revenue

Unequal Funding: Subsidization Prediction in University Athletics.
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245 1 0 $a Unequal Funding: Subsidization Prediction in University Athletics.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2020
300 $a 271 p.
500 $a Source: Dissertations Abstracts International, Volume: 82-01, Section: A.
500 $a Advisor: Moon, Paul.
502 $a Thesis (Ed.D.)--Grand Canyon University, 2020.
506 $a This item must not be sold to any third party vendors.
520 $a The purpose of this quantitative correlational study was to determine if and to what extent the external revenue production of the bottom 90% of NCAA Division I universities can predict the subsidization granted to their respective athletic departments. The theoretical foundation for the study includes the theory of academic capitalism and expenditure cascades model. Four research questions were included: To what extent do Contributions predict Subsidies that athletic programs receive from the individual universities, controlling for the other predictors of MR/LA and Ticket Sales? To what extent do MR/LA predict Subsidies that athletic programs receive from the individual universities, controlling for the other predictors of Contributions and Ticket Sales? To what extent do Ticket Sales predict Subsidies that athletic programs receive from the individual universities, controlling for the other predictors of Contributions and MR/LA? Do Contributions, MR/LA, and Ticket Sales statistically significantly predict Subsidies that athletic programs receive from the individual universities when entered into a regression analysis? The sample included NCAA Division I public universities in the bottom 90% of revenue production that field men's basketball. Results suggest that, individually, the three external revenues do predict Subsidies and that when the three external revenues increased individually Subsidies decreased. When the three external revenues were examined together there was a statistically significant prediction model, but a change in Contributions, MR/LA, and Ticket Sales could not be linked to change in Subsidies.
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653 $a NCAA finance
653 $a Subsidies
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