ERIC Number: ED202145
Record Type: RIE
Publication Date: 1979-Oct
Reference Count: 0
Setting Cut Scores in Selection: A Mathematical Structure for Examining Policies.
Cronbach, Lee J.; And Others
Employers and school admissions officials must consider several factors when making choices among applicants, particularly when faced with a need to increase selection of minority group members. Should different standards be applied to different groups? Will acceptance of less qualified applicants from one group affect the overall quality of the work force or the student body? How much does the particular situation affect the degree of change in overall quality? How much of a drop in quality is acceptable? How does that drop in quality balance with the benefits to be obtained from increasing the employment or admission of minority group members? Such questions can be addressed by making a numerical estimate of the tradeoffs involved. The mathematical process for making such estimates can be used to test different policies for selecting employees or admitting students. The most beneficial policy can then be determined. This document describes the mathematical process and its application, and provides an example of the process in use. (PGD)
Descriptors: Access to Education, Admission Criteria, Affirmative Action, Competitive Selection, Employment Practices, Employment Qualifications, Equal Opportunities (Jobs), Mathematical Models, Minority Groups, Personnel Selection, Program Effectiveness, Program Evaluation, Selective Admission
Publications, Institute for Research on Educational Finance and Governance, School of Education/CERAS Bldg., Stanford University, Stanford, CA 94305 ($1.00).
Publication Type: Reports - Evaluative
Education Level: N/A
Sponsor: National Inst. of Education (DHEW), Washington, DC.
Authoring Institution: Stanford Univ., CA. Inst. for Research on Educational Finance and Governance.