Skip to Main Content
 

Global Search Box

 
 
 

ETD Abstract Container

Abstract Header

A Data-Based Model to Predict Case Classification of Educational Attainment in Central Appalachia

Ferris, Frederick A., II
http://rave.ohiolink.edu/etdc/view?acc_num=dayton147929810718794

Abstract Details

2016, Doctor of Philosophy (Ph.D.), University of Dayton, Educational Leadership.
The purpose of this study was to develop a data-based model to predict case classification of students’ educational attainment levels into one of three categories: will not enroll in post-secondary education; will enroll in, but not complete a bachelor’s degree; and will enroll in and complete a bachelor’s degree. Using a nationally representative longitudinal study, Educational Longitudinal Study of 2002, as a training dataset for this study it was possible to develop a data-based model that can be used to correctly predict future case classification. This study applies these analyses to an under studied population in central Appalachia. Central Appalachia has a semi-homogenous history, economy, challenges, attitudes, and educational attainment rates. Central Appalachia was chosen because it has recently been noted that it is an area of “particular concern” by the Appalachian Regional Commission, a U.S. government agency.
Barbara De Luca, Ph.D. (Committee Chair)
Michele Welkener, Ph.D. (Committee Member)
Charles Russo, J.D., Ed.D. (Committee Member)
Joseph Castellano, Ph.D. (Committee Member)
108 p.
Economics; Education; Public Policy
Appalachia; Education; Educational Attainment; Economy; Discriminant Model; Quantitative

Recommended Citations

Citations

  • Ferris, II, F. A. (2016). A Data-Based Model to Predict Case Classification of Educational Attainment in Central Appalachia [Doctoral dissertation, University of Dayton]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=dayton147929810718794

    APA Style (7th edition)

  • Ferris, II, Frederick. A Data-Based Model to Predict Case Classification of Educational Attainment in Central Appalachia. 2016. University of Dayton, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=dayton147929810718794.

    MLA Style (8th edition)

  • Ferris, II, Frederick. "A Data-Based Model to Predict Case Classification of Educational Attainment in Central Appalachia." Doctoral dissertation, University of Dayton, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=dayton147929810718794

    Chicago Manual of Style (17th edition)

dayton147929810718794
160
© 2016, all rights reserved.
This open access ETD is published by University of Dayton and OhioLINK.