Date of Award
2016
Document Type
Dissertation
Publication Status
Version of Record
Submission Date
October 2026
Thesis/Dissertation Advisor [Chair]
Floyd, Deborah L.
Thesis/Dissertation Co-Chair
Laanan, Frankie Santos
Abstract
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.
Extent
182 p.
Recommended Citation
Harrison, Jamonique K., "Predicting Graduation Rates at Non-Residential Research Universities" (2016). Electronic Theses and Dissertations 2010 - 2019. 1543.
https://digitalcommons.fau.edu/etd_general_6/1543
Identifier
FA00004603
Comments
Includes bibliography.|Dissertation (Ph.D.)--Florida Atlantic University, 2016.|FAU Electronic Theses and Dissertations Collection|Includes bibliography.