Abstract/Details

A geographic-information-systems-based approach to analysis of characteristics predicting student persistence and graduation


2010 2010

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Abstract (summary)

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.

Indexing (details)


Subject
Geography;
Higher Education Administration;
Education Policy
Classification
0366: Geography
0446: Higher Education Administration
0458: Education Policy
Identifier / keyword
Education; Social sciences; Education; Enrollment management; GIS; Geographic Information System; Persistence; Retention; Spatial analysis
Title
A geographic-information-systems-based approach to analysis of characteristics predicting student persistence and graduation
Author
Ousley, Chris
Number of pages
290
Publication year
2010
Degree date
2010
School code
0009
Source
DAI-A 71/05, Dissertation Abstracts International
Place of publication
Ann Arbor
Country of publication
United States
ISBN
9781109765489
Advisor
Aguilar, Cecilia Rios
Committee member
Kohn, Paul; Lee, Jenny; Milem, Jeff
University/institution
The University of Arizona
Department
Higher Education
University location
United States -- Arizona
Degree
Ph.D.
Source type
Dissertations & Theses
Language
English
Document type
Dissertation/Thesis
Dissertation/thesis number
3403277
ProQuest document ID
305185687
Copyright
Database copyright ProQuest LLC; ProQuest does not claim copyright in the individual underlying works.
Document URL
http://search.proquest.com/docview/305185687
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