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ERIC Number: ED496657
Record Type: Non-Journal
Publication Date: 2007-Feb
Pages: 11
Abstractor: Author
A Data-Mining Approach to Differentiate Predictors of Retention
Yu, Chong Ho; DiGangi, Samuel A.; Jannasch-Pennell, Angel; Lo, Wenjuo; Kaprolet, Charles
Online Submission, Paper presented at the EDUCAUSE Southwest Conference (Austin, TX, Feb 2007)
Student retention is an important issue for all university administrators and faculty due to the potential negative impact of student attrition. In this study, retention rates will be studied with data from sophomore students who initially enrolled in the 2002 academic year at Arizona State University, following these students through their junior year. While it is not surprising to learn that retention is tied to "earned hours," it is out of our expectation to see that retention is strongly tied to"spatial" factors, including residence (in state/out of state) and living location (on campus/off campus). (Contains 2 figures and 1 table.)
Publication Type: Reports - Evaluative; Speeches/Meeting Papers
Education Level: Higher Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Arizona
Grant or Contract Numbers: N/A