The Resource Predicting first year academic success of the student-athlete population at the University of Missouri, by Joseph M. Scogin, (electronic resource)

Predicting first year academic success of the student-athlete population at the University of Missouri, by Joseph M. Scogin, (electronic resource)

Label
Predicting first year academic success of the student-athlete population at the University of Missouri
Title
Predicting first year academic success of the student-athlete population at the University of Missouri
Statement of responsibility
by Joseph M. Scogin
Creator
Contributor
Thesis advisor
Subject
Genre
Language
eng
Summary
This study compares the predictive validity of the Office of University Admission's model to predict first year grade point average for student athletes at the University of Missouri. In a majority of the cases, it was found that student athletes had higher first year grade point averages than the campus prediction. Based on these findings, the researcher used a stepwise multiple regression to identify variables that account for a significant portion of the variance in first year grade point average for student athletes. The research was able to identify a significant model including three variables that explained 50% of the total variance in first year GPA. High school GPA (42%), ACT composite (5%), and aid status (2.5%) were significant predictors of first year academic performance for student athletes at the University of Missouri
Cataloging source
MUU
http://library.link/vocab/creatorDate
1977-
http://library.link/vocab/creatorName
Scogin, Joseph M.
Degree
Ph. D.
Dissertation year
2007.
Granting institution
University of Missouri-Columbia
Illustrations
illustrations
Index
no index present
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
  • theses
http://library.link/vocab/relatedWorkOrContributorName
Waigandt, Alex
http://library.link/vocab/subjectName
  • Academic achievement
  • College athletes
Target audience
specialized
Label
Predicting first year academic success of the student-athlete population at the University of Missouri, by Joseph M. Scogin, (electronic resource)
Instantiates
Publication
Note
  • The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file
  • Title from title screen of research.pdf file (viewed on October 9, 2007)
  • Vita
Bibliography note
Includes bibliographical references
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
black and white
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Control code
173846642
Dimensions
unknown
Form of item
electronic
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Specific material designation
remote
System control number
(OCoLC)173846642
System details
Mode of access: World Wide Web
Label
Predicting first year academic success of the student-athlete population at the University of Missouri, by Joseph M. Scogin, (electronic resource)
Publication
Note
  • The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file
  • Title from title screen of research.pdf file (viewed on October 9, 2007)
  • Vita
Bibliography note
Includes bibliographical references
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
black and white
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Control code
173846642
Dimensions
unknown
Form of item
electronic
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Specific material designation
remote
System control number
(OCoLC)173846642
System details
Mode of access: World Wide Web

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