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ERIC Number: EJ869643
Record Type: Journal
Publication Date: 2010-Mar
Pages: 21
Abstractor: As Provided
Reference Count: 0
ISBN: N/A
ISSN: ISSN-0361-0365
Redefining Student Success: Applying Different Multinomial Regression Techniques for the Study of Student Graduation across Institutions of Higher Education
Jones-White, Daniel R.; Radcliffe, Peter M.; Huesman, Ronald L., Jr.; Kellogg, John P.
Research in Higher Education, v51 n2 p154-174 Mar 2010
Current definitions of retention and graduation rates distort the picture of student success by limiting it to completion of a degree at the institution of entry. By incorporating data from the National Student Clearinghouse (NSC), a clearer picture emerges. The NSC data captures retention and graduation at both entry and transfer institutions. To accommodate this polychotomous definition of success, more sophisticated methods of modeling limited dependent variables are needed. Though multinomial logit is often considered the most accessible method, the strict assumptions it imposes may be inappropriate. We therefore compare multinomial regression techniques to assess their utility in modeling multi-institutional student success.
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 - Descriptive
Education Level: Higher Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A