significantly slower in advancing toward an academic degree. If the university is
willing to bring in athletes as "disadvantaged" students, then the university should
consider allocating more resources to help the athletes overcome their disadvantage.
Even after holding constant SAT scores and curricular choices, participants in a few
sports still exhibited significantly different GPAs than their student peers. Men's
football, which represents the largest number of athletes, had average GPAs consistent
with only the thirty-ninth percentile of the student body. The NCAA prohibits these
athletes from being paid for their athletic services, despite the fact that football is the
largest source of sports revenue to the university. Now it appears that the exploitation
of these athletes, the big money sports athlete, has been extended to the classroom.
Post-season football playoffs would exacerbate exploitation in both the athletic and
Personal data on students could not be released for use in this study so hometown
characteristics were used as proxies. The percentage of people with baccalaureate degrees in the
home town of the student was initially used in addition to the variables described in this section.
However, this variable was omitted because of high collinearity with MedInc.
Women's indoor track, outdoor track, and cross-country were combined into one variable,
WTrack, and men's indoor track, outdoor track, and cross-country were combined into one
variable, MTrack, due to the high collinearity between these sports variables.
Questia, a part of Gale, Cengage Learning. www.questia.com
Book title: Sports Economics:Current Research.
Contributors: John Fizel - Editor, Elizabeth Gustafson - Editor, Lawrence Hadley - Editor.
Publisher: Praeger Publishers.
Place of publication: Westport, CT.
Publication year: 1999.
Page number: 171.
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