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ERIC Number: EJ888225
Record Type: Journal
Publication Date: 2009-May
Pages: 5
Abstractor: As Provided
Reference Count: 31
ISSN: ISSN-1990-3839
Accelerated Failure-Time Models of Graduation
Chimka, Justin R.; Wang, Qilu
Educational Research and Reviews, v4 n5 p267-271 May 2009
This third article in a series describing survival analysis of engineering student retention and graduation introduces accelerated failure-time as an alternative to the Cox proportional hazards model to the context of student data. The new survival analysis of graduation data presented here assumes different distributions including exponential, lognormal and Weibull, and assesses efficiency and goodness of fit based on estimated parameters, likelihood and number of observations. Results are associated with the effects of American College Test and Scholastic Assessment Test scores, gender, and other demographic information on retention and graduation. Some results confirm what we have previously learned from proportional hazards models of graduation, and some results are unique to accelerated failure-time models. (Contains 7 tables.)
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Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Oklahoma
Identifiers - Assessments and Surveys: SAT (College Admission Test)