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    A Geographic-Information-Systems-Based Approach to Analysis of Characteristics Predicting Student Persistence and Graduation

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    Author
    Ousley, Chris
    Issue Date
    2010
    Keywords
    education
    enrollment management
    GIS
    persistence
    retention
    spatial analysis
    Advisor
    Rios Aguilar, Cecilia
    Committee Chair
    Rios Aguilar, Cecilia
    
    Metadata
    Show full item record
    Publisher
    The University of Arizona.
    Rights
    Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
    Abstract
    This study sought to provide empirical evidence regarding the use of spatial analysis in enrollment management to predict persistence and graduation. The research utilized data from the 2000 U.S. Census and applicant records from The University of Arizona to study the spatial distributions of enrollments. Based on the initial results, stepwise logistic regression was used to identify spatially associated student and neighborhood characteristics predicting persistence and graduation.The findings of this research indicate spatial analysis can be used as a valuable resource for enrollment management. Using a theoretical framework of the forms of capital and social reproduction, cultural and social capital characteristics were found to influence persistence at statistically significant levels. Most notably, the social capital proxy of neighborhood education levels, and the cultural capital proxies of the number of standardized tests a student has taken, and when the application for admission is submitted all significantly influenced a student's probability to persistence and graduate. When disaggregating by race and ethnicity, resident Hispanic students from highly Hispanic neighborhoods were found to persist at higher levels in the first year of college attendance. Also, resident Native Americans were found to have a higher probability to persist when evidencing cultural capital characteristics. Since spatially based student and neighborhood characteristics can be quantified and mapped, target populations can be identified and subsequently recruited, resulting in retention-focused admissions.
    Type
    text
    Electronic Dissertation
    Degree Name
    Ph.D.
    Degree Level
    doctoral
    Degree Program
    Higher Education
    Graduate College
    Degree Grantor
    University of Arizona
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