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Predicting Graduation Rates at Non-Residential Research UniversitiesUnknown Date (has links)
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. / Includes bibliography. / Dissertation (Ph.D.)--Florida Atlantic University, 2016. / FAU Electronic Theses and Dissertations Collection
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