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

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

Bibliographic Details
Main Author: Ferris, Frederick A., II
Language:English
Published: University of Dayton / OhioLINK 2016
Subjects:
Education
Public Policy
Economics
Appalachia
Educational Attainment
Economy
Discriminant Model
Quantitative
Online Access:http://rave.ohiolink.edu/etdc/view?acc_num=dayton147929810718794
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spelling ndltd-OhioLink-oai-etd.ohiolink.edu-dayton1479298107187942021-08-03T06:38:56Z A Data-Based Model to Predict Case Classification of Educational Attainment in Central Appalachia Ferris, Frederick A., II Education Public Policy Economics Appalachia Education Educational Attainment Economy Discriminant Model Quantitative 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. 2016 English text University of Dayton / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=dayton147929810718794 http://rave.ohiolink.edu/etdc/view?acc_num=dayton147929810718794 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws.
collection NDLTD
language English
sources NDLTD
topic Education
Public Policy
Economics
Appalachia
Education
Educational Attainment
Economy
Discriminant Model
Quantitative
spellingShingle Education
Public Policy
Economics
Appalachia
Education
Educational Attainment
Economy
Discriminant Model
Quantitative
Ferris, Frederick A., II
A Data-Based Model to Predict Case Classification of Educational Attainment in Central Appalachia
author Ferris, Frederick A., II
author_facet Ferris, Frederick A., II
author_sort Ferris, Frederick A., II
title A Data-Based Model to Predict Case Classification of Educational Attainment in Central Appalachia
title_short A Data-Based Model to Predict Case Classification of Educational Attainment in Central Appalachia
title_full A Data-Based Model to Predict Case Classification of Educational Attainment in Central Appalachia
title_fullStr A Data-Based Model to Predict Case Classification of Educational Attainment in Central Appalachia
title_full_unstemmed A Data-Based Model to Predict Case Classification of Educational Attainment in Central Appalachia
title_sort data-based model to predict case classification of educational attainment in central appalachia
publisher University of Dayton / OhioLINK
publishDate 2016
url http://rave.ohiolink.edu/etdc/view?acc_num=dayton147929810718794
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AT ferrisfrederickaii databasedmodeltopredictcaseclassificationofeducationalattainmentincentralappalachia
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