NotesFAQContact Us
Collection
Advanced
Search Tips
Peer reviewed Peer reviewed
Direct linkDirect link
ERIC Number: EJ789598
Record Type: Journal
Publication Date: 2008-Apr
Pages: 16
Abstractor: Author
Reference Count: 23
ISBN: N/A
ISSN: ISSN-0020-739X
How Does One Assess the Accuracy of Academic Success Predictors? ROC Analysis Applied to University Entrance Factors
Vivo, Juana-Maria; Franco, Manuel
International Journal of Mathematical Education in Science and Technology, v39 n3 p325-340 Apr 2008
This article attempts to present a novel application of a method of measuring accuracy for academic success predictors that could be used as a standard. This procedure is known as the receiver operating characteristic (ROC) curve, which comes from statistical decision techniques. The statistical prediction techniques provide predictor models and their goodness-of-fit; in addition, ROC analysis allows to assess the accuracy of the ability to discriminate from success and failures cases of a classifier or predictive model, and so it could be considered complementary to others more commonly used. Thus, the ROC curve is used to compare and interpret the relative contribution of each university entrance factor in the correct classification as success or failure of the academic performance, as well as to establish cut-off scores for admissions and counselling purposes. It is revealed that the ROC analysis allows us to identify the better university entrance factor for each subject in predicting students' academic success. (Contains 7 tables and 9 figures.)
Taylor & Francis, Ltd. 325 Chestnut Street Suite 800, Philadelphia, PA 19106. Tel: 800-354-1420; Fax: 215-625-2940; Web site: http://www.tandf.co.uk/journals/default.html
Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A