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ERIC Number: EJ1024507
Record Type: Journal
Publication Date: 2014
Pages: 12
Abstractor: As Provided
Reference Count: 24
ISBN: N/A
ISSN: ISSN-0969-594X
Detecting Bias in Selection for Higher Education: Three Different Methods
Kennet-Cohen, Tamar; Turvall, Elliot; Oren, Carmel
Assessment in Education: Principles, Policy & Practice, v21 n2 p193-204 2014
This study examined selection bias in Israeli university admissions with respect to test language and gender, using three approaches for the detection of such bias: Cleary's model of differential prediction, boundary conditions for differential prediction and difference between "d's" (the Constant Ratio Model). The university admissions process in Israel, like those in many countries, is based on a combination of school-related achievement and a general scholastic aptitude test. The selection process was found to be biased in favour of Arabic speakers and not biased with respect to gender. The three approaches for detecting selection bias were similar in the pattern of the results they produced, but differed, as expected, in the magnitude of the bias they detected. The discussion focuses on the results both with respect to the specific groups studied (first research question) and with respect to the three approaches for detecting selection bias (second research question).
Routledge. Available from: 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
Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Israel