DocumentCode :
2817278
Title :
Work in progress: the relationship between objective and/or subjective admissions criteria and success outcomes in undergraduate engineering
Author :
Sattar, Mohammed A. ; Lee, Chang J. ; Caso, Rita
Author_Institution :
Texas A&M Univ., College Station, TX, USA
fYear :
2004
fDate :
20-23 Oct. 2004
Abstract :
University admissions policies throughout the country are undergoing review and revision, and universities are considering options which range from basing admissions most heavily upon objective criteria, such as SAT/ACT scores and/or high school rank, to favoring more holistic approaches, including individualized subjective reviews of accomplishments and characteristics reported in applications, and application essays. Variations of these approaches have been in practice at Texas A&M University for quite some time, yet little was known about how these admission practices were actually predicting the retention, academic performance, and graduation of students throughout the institution. Moreover, less was known about how accurately university-wide objective and/or subjective admission criteria predicted success for the students of very different colleges. This study identifies the admission criteria, which have best predicted academic success among engineering students from freshman cohorts 1997 through 2001. It specifically examines the predictive effectiveness of using "objective" merit-based criteria, in combination with subjective criteria, vs. using only "objective" admission criteria. Success outcomes of the subpopulation of students exempt from admission review due to high school rank or high SAT/ACT, are examined in relation to objective criteria only. The outcomes of the students who did not meet exemption criteria and were admitted due to favorable review of both objective and subjective admission criteria are examined in relation to objective criteria alone, and also in relation to objective and subjective criteria together. Results are observed and reported for male & female, white, Hispanic & African American subpopulations.
Keywords :
educational institutions; engineering education; University admission policy; academic performance; logistic regression; merit-based criteria; objective admission criteria; subjective admission criteria; undergraduate engineering; Ear; Educational institutions; Engineering students; Law; Legal factors; Logistics; Particle measurements; Time measurement; US Department of Transportation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Frontiers in Education, 2004. FIE 2004. 34th Annual
ISSN :
0190-5848
Print_ISBN :
0-7803-8552-7
Type :
conf
DOI :
10.1109/FIE.2004.1408588
Filename :
1408588
Link To Document :
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