Skip to Main Content
 

Global Search Box

 
 
 
 

Files

File List


bgsu1339181892.pdf (403.01 KB)

ETD Abstract Container

Abstract Header

An Outcome Determinant Analysis of NCAA Rules Violations: An Application of Multivariate Statistics to the Committee on Infractions' Decisions on Major Cases

Smith, Joshua R.
http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1339181892

Abstract Details

2012, Master of Education (MEd), Bowling Green State University, Human Movement, Sport and Leisure Studies /Sport Administration.
Since the National Collegiate Athletic Association (NCAA) began enforcing major rules infractions in 1953, there has been concern over the causes and implications of the violations. Past research has explored the causes for many of the violations with a focus on the cartel theory of college athletics. Researchers have also studied the significance of self-imposing sanctions effecting the punishment imposed by the Committee on Infractions (COI). Though numerous studies have attempted to explain the phenomenon of NCAA major rules infractions, none have attempted to statistically calculate the consistency of sanctions enforced against every level of competition. This study uses multivariate statistics to predict the outcome of NCAA rules violations. All major rules infraction cases since 1994 were examined with each charged violation and imposed sanction given a weight. An aggregate weighted score was determined for the overall violations and sanctions of 262 cases. A regression analysis shows the aggregate score of violations can significantly predict the severity of sanctions. Also, each case was analyzed to determine other key variables which could impact the Committee’s decision. Among them included the division or level of competition, whether the institution was considered a repeat violator, whether the institution self-reported or self-discovered the violations and whether the institution imposed its own penalties. The significance of each independent variable was determined through a logistical regression analysis and descriptive statistical analysis. These multivariate models revealed the division of competition, repeat violator status and self-reporting do not have a significant impact on the severity of sanctions issued by the COI. An institution’s decision to self-impose penalties does affect the overall sanctions imposed. The statistical analysis indicates being a repeat violator has no significant impact on the severity of sanctions. This finding along with the determination that self-reporting your own violations does not help to mitigate the severity of sanctions demonstrates a flaw in the Committee’s decision-making. The results from this study are important to industry insiders. Compliance officers will be able to utilize the information to formulate a plan when dealing with their own major infraction case. Also, with the NCAA creating a working group to explore the possibility of an enhanced enforcement and penalty structure, this study has the ability to shape the opinions of institutions when the comment period begins.
Sungho Cho, PhD (Advisor)
Ray Schneider, PhD (Committee Member)
Amanda Paule-Koba, PhD (Committee Member)
76 p.
Sports Management; Statistics
NCAA; violations; compliance; major; Committee on Infractions; statistics

Recommended Citations

Citations

  • Smith, J. R. (2012). An Outcome Determinant Analysis of NCAA Rules Violations: An Application of Multivariate Statistics to the Committee on Infractions' Decisions on Major Cases [Master's thesis, Bowling Green State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1339181892

    APA Style (7th edition)

  • Smith, Joshua. An Outcome Determinant Analysis of NCAA Rules Violations: An Application of Multivariate Statistics to the Committee on Infractions' Decisions on Major Cases. 2012. Bowling Green State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1339181892.

    MLA Style (8th edition)

  • Smith, Joshua. "An Outcome Determinant Analysis of NCAA Rules Violations: An Application of Multivariate Statistics to the Committee on Infractions' Decisions on Major Cases." Master's thesis, Bowling Green State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1339181892

    Chicago Manual of Style (17th edition)

bgsu1339181892
2,388
© 2012, all rights reserved.
This open access ETD is published by Bowling Green State University and OhioLINK.