Note
Includes bibliography.
Member of
Publisher
Florida Atlantic University
Date Issued
2016
EDTF Date Created
2016
Description
The purpose of this study was to develop a prediction model for graduation rate at
non-residential research universities. As well, this study investigated, described, and
compared the student characteristics of non-residential and residential institutions.
Making distinctions between significant predictor variables at non-residential research
universities and significant predictor variables at residential institutions was also an aim.
The researcher obtained data from the Integrated Postsecondary Data System. Student
and institutional variables were analyzed using descriptive statistics, independent samples
t-tests, analysis of variance, and regression analyses. Results indicated that student and
institutional characteristics can be used to significantly predict graduation rate at nonresidential
institutions with student variables yielding greater predictive power than
institutional variables. As well, residential status was found to moderate the relationship
between undergraduate enrollment and graduation rate.
non-residential research universities. As well, this study investigated, described, and
compared the student characteristics of non-residential and residential institutions.
Making distinctions between significant predictor variables at non-residential research
universities and significant predictor variables at residential institutions was also an aim.
The researcher obtained data from the Integrated Postsecondary Data System. Student
and institutional variables were analyzed using descriptive statistics, independent samples
t-tests, analysis of variance, and regression analyses. Results indicated that student and
institutional characteristics can be used to significantly predict graduation rate at nonresidential
institutions with student variables yielding greater predictive power than
institutional variables. As well, residential status was found to moderate the relationship
between undergraduate enrollment and graduation rate.
Language
Type
Form
Extent
182 p.
Subject (Topical)
Identifier
FA00004603
Additional Information
Includes bibliography.
Dissertation (Ph.D.)--Florida Atlantic University, 2016.
FAU Electronic Theses and Dissertations Collection
Date Backup
2016
Date Created Backup
2016
Date Text
2016
Date Created (EDTF)
2016
Date Issued (EDTF)
2016
Extension
FAU
IID
FA00004603
Organizations
Attributed name: Florida Atlantic University
Attributed name: College of Education
Attributed name: Department of Educational Leadership and Research Methodology
Person Preferred Name
Harrison, Jamonique K.
author
Graduate College
Physical Description
application/pdf
182 p.
Title Plain
Predicting Graduation Rates at Non-Residential Research Universities
Use and Reproduction
Copyright © is held by the author, with permission granted to Florida Atlantic University to digitize, archive and distribute this item for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires permission of the copyright holder.
http://rightsstatements.org/vocab/InC/1.0/
Origin Information
2016
2016
Florida Atlantic University
Boca Raton, Fla.
Physical Location
Florida Atlantic University Libraries
Place
Boca Raton, Fla.
Sub Location
Digital Library
Title
Predicting Graduation Rates at Non-Residential Research Universities
Other Title Info
Predicting Graduation Rates at Non-Residential Research Universities