The Resource Development of a practical model for school leaders using elementary student data to predict high school dropout risk, by Nathan Hoven

Development of a practical model for school leaders using elementary student data to predict high school dropout risk, by Nathan Hoven

Label
Development of a practical model for school leaders using elementary student data to predict high school dropout risk
Title
Development of a practical model for school leaders using elementary student data to predict high school dropout risk
Statement of responsibility
by Nathan Hoven
Creator
Contributor
Author
Thesis advisor
Subject
Language
eng
Summary
Many researchers have identified the myriad of concerns that frequently affect people who drop out of school prior to high school graduation. These include increased risks of lower income, need for welfare support, unemployment, and criminal activity (Alexander, Entwisle, & Horsey, 1997; Christenson & Thurlow, 2004; Gleason & Dynarski, 2002; Suh, Suh, & Houston, 2007). School leaders have a keen interest in helping all students successfully complete school, thereby reducing the risk of these issues occurring later in life. In an effort to help students avoid these potential risks, school leaders have tried to identify students at risk of dropping out of school so they can intervene and help the students persist to graduation. Researchers have documented the ineffectiveness of high school intervention efforts (Bowers, 2010) as well as the greater effectiveness of earlier interventions (Entwisle & Alexander, 1993; Suh et al., 2007). As a result, there has been more emphasis placed on identifying potential dropouts earlier in their educational careers. This study has attempted to develop a practical dropout prediction model based on elementary data. The study examined 222 students who entered high school together, then collected data from when those same students were in elementary school. The resulting models did not have high levels of predictive accuracy, but they did provide some useful results for identifying the students most severely at risk of dropping out. In addition, the study has provided some useful knowledge to aid in further research on identification and intervention efforts
Cataloging source
MUU
http://library.link/vocab/creatorDate
1976-
http://library.link/vocab/creatorName
Hoven, Nathan
Degree
Ed. D.
Dissertation year
2013.
Government publication
government publication of a state province territory dependency etc
Granting institution
University of Missouri--Columbia
Index
no index present
Literary form
non fiction
Nature of contents
  • dictionaries
  • theses
  • bibliography
http://library.link/vocab/relatedWorkOrContributorDate
1962-
http://library.link/vocab/relatedWorkOrContributorName
MacGregor, Cynthia J.
http://library.link/vocab/subjectName
  • Dropout behavior, Prediction of
  • High school dropouts
Label
Development of a practical model for school leaders using elementary student data to predict high school dropout risk, by Nathan Hoven
Instantiates
Publication
Note
  • The entire dissertation 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 and public abstract appear in the public.pdf file
  • Dissertation Supervisor: Dr. Cindy MacGregor
  • Vita
Bibliography note
Includes bibliographical references (pages 108-112)
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier.
Content category
text
Content type code
txt
Content type MARC source
rdacontent.
Control code
863058317
Extent
1 online resource (x, 114 pages).
Form of item
online
Media category
computer
Media MARC source
rdamedia.
Media type code
c
Specific material designation
remote
System control number
(OCoLC)863058317
Label
Development of a practical model for school leaders using elementary student data to predict high school dropout risk, by Nathan Hoven
Publication
Note
  • The entire dissertation 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 and public abstract appear in the public.pdf file
  • Dissertation Supervisor: Dr. Cindy MacGregor
  • Vita
Bibliography note
Includes bibliographical references (pages 108-112)
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier.
Content category
text
Content type code
txt
Content type MARC source
rdacontent.
Control code
863058317
Extent
1 online resource (x, 114 pages).
Form of item
online
Media category
computer
Media MARC source
rdamedia.
Media type code
c
Specific material designation
remote
System control number
(OCoLC)863058317

Library Locations

  • St. Louis Mercantile LibraryBorrow it
    1 University Blvd, St. Louis, MO, 63121, US
    38.710138 -90.311107
  • Thomas Jefferson LibraryBorrow it
    1 University Blvd, St. Louis, MO, 63121, US
    38.710138 -90.311107
  • University ArchivesBorrow it
    703 Lewis Hall, Columbia, MO, 65211, US
  • University of Missouri-St. Louis Libraries DepositoryBorrow it
    2908 Lemone Blvd, Columbia, MO, 65201, US
    38.919360 -92.291620
  • University of Missouri-St. Louis Libraries DepositoryBorrow it
    2908 Lemone Blvd, Columbia, MO, 65201, US
    38.919360 -92.291620
  • Ward E Barnes Education LibraryBorrow it
    8001 Natural Bridge Rd, St. Louis, MO, 63121, US
    38.707079 -90.311355
Processing Feedback ...