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ERIC Number: EJ892434
Record Type: Journal
Publication Date: 2010-Sep
Pages: 27
Abstractor: As Provided
Reference Count: 32
ISBN: N/A
ISSN: ISSN-0361-0365
Modeling Retention at a Large Public University: Can At-Risk Students Be Identified Early Enough to Treat?
Singell, Larry D.; Waddell, Glen R.
Research in Higher Education, v51 n6 p546-572 Sep 2010
We examine the extent to which readily available data at a large public university can be used to a priori identify at-risk students who may benefit from targeted retention efforts. Although it is possible to identify such students, there remains an inevitable tradeoff in any resource allocation between not treating the students who are likely to exit without treatment and treating students who are likely not to exit in the absence of the treatment. At-risk students are found to remain at risk throughout their college career. Moreover, conditional on exiting the institution, the degree to which the student was at risk is predictive of whether the student subsequently re-enrolls elsewhere and the type of institution at which this re-enrollment occurs. In this context, we discuss how retention policies relate to insuring the initial match is appropriate, recognizing that some attrition can be in keeping with the broad social interest.
Springer. 233 Spring Street, New York, NY 10013. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-348-4505; e-mail: service-ny@springer.com; Web site: http://www.springerlink.com
Publication Type: Journal Articles; Reports - Evaluative
Education Level: Higher Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A