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Fairness in Measurement and Selection: Statistical, Philosophical, and Public Perspectives
Author(s) -
Zwick Rebecca
Publication year - 2019
Publication title -
educational measurement: issues and practice
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.158
H-Index - 52
eISSN - 1745-3992
pISSN - 0731-1745
DOI - 10.1111/emip.12299
Subject(s) - selection (genetic algorithm) , test (biology) , quality (philosophy) , computer science , psychology , sociology , public relations , political science , epistemology , artificial intelligence , paleontology , philosophy , biology
Selection decisions have a major impact on our education, occupation, and quality of life, and the role of standardized tests in selection has always been a source of controversy. Here, I consider various definitions of fairness in measurement and selection—those emerging from within educational measurement and statistics, those from philosophy, and finally, those from the public. I use examples of public challenges to selection practices to illustrate the fact that technical and philosophical definitions of fairness do not align well with public concerns. I emphasize the importance of promoting awareness of existing standards, advocating for the fair use of testing and selection practices, and communicating in a candid and straightforward way when engaging with test takers and test users.

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