NotesFAQContact Us
Collection
Advanced
Search Tips
ERIC Number: ED336027
Record Type: RIE
Publication Date: 1991-May
Pages: 27
Abstractor: N/A
Reference Count: N/A
ISBN: N/A
ISSN: N/A
The Legitimacy of Statistical Evidence in Discrimination Lawsuits in the Context of Employment in Higher Education. AIR 1991 Annual Forum Paper.
Tesfagiorgis, Gebre H.
This paper examines the use of statistical evidence, specifically regression analysis, in employment discrimination cases on college and university cases. Sections of the paper provide the following: (1) a description of regression analysis focusing on the specific features that make it appropriate for use in discrimination lawsuits; (2) a review of the basic legal principles and other factors which lend legitimacy to the use of statistical evidence in employment discrimination cases; (3) an examination of the status of current law in employment discrimination, including affirmative action, in the context of which statistical evidence is used; and (4) a discussion of the implications of this emerging law for university administrators in general and institutional researchers in particular. Two Supreme Court rulings (Bazemore v. Friday, Watson v. Fort Worth Bank) are noted as addressing the use of statistical techniques. General observations reveal that multiple regression analysis has emerged as the most common statistical technique used to prove the existence or the absence of discrimination in employment decisions. It is noted that the ability of multiple regression analysis to generate various tests for judging the statistical and legal significance of its results renders it a powerful and indispensable tool for the adjudication of Title VII cases in higher education. Forty-three footnotes are attached. (GLR)
Publication Type: Reports - Research; Speeches/Meeting Papers
Education Level: N/A
Audience: Administrators; Practitioners; Researchers
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers: AIR Forum; Civil Rights Act 1964 Title VII; Supreme Court
Note: Paper presented at the Annual Forum of the Association for Institutional Research (31st, San Francisco, CA, May 26-29, 1991).