Statistical methods in discrimination litigation

Author(s)

• Kaye, D. H. (David H.)
• Aickin, Mikel

Bibliographic Information

Statistical methods in discrimination litigation

edited by D.H. Kaye, Mikel Aickin

（Statistics : textbooks and monographs, v. 69）

M. Dekker, c1986

Note

Includes index

Description and Table of Contents

Description

This book sketches some of the legal doctrines that underlie discrimination litigation. It describes and probes frequently seen statistical methods. The book also describes the more or less standard methods being brought into United States Supreme Court.

Table of Contents

1. The Place of Statistics in Establishing Unconstitutional Acts of Discrimination 2. Statistical Evidence of Discrimination in Jury Selection 3. Claims of Employment Discrimination Under Title VII of the Civil Rights Act of 1964 4. Defining the Relevant Population in Employment Discrimination Cases 5. Regression Analysis in Discrimination Cases 6. The Perverse Logic of Reverse Regression 7. Measurement Error and Regression Analysis in Employment Cases 8. Validating Employee Selection Procedures 9. Issues and Methods in Discrimination Statistics

by "Nielsen BookData"

Details

• NCID: BA00315300
• ISBN:
  • 0824775147
• LCCN: 86013387
• Country Code: us
• Title Language Code: eng
• Text Language Code: eng
• Place of Publication: New York
• Pages/Volumes: x, 218 p.
• Size: 24 cm
• Classification:
  • LCC : KF8925.D5
  • DC19 : 344.73/01133
  • DC19 : 347.3041133
• Subject Headings:
  • LCSH : Discrimination in employment -- Law and legislation -- United States -- Statistical methods
  • LCSH : Jury selection -- United States -- Statistical methods
  • LCSH : Evidence (Law) -- United States -- Statistical methods
  • LCSH : Actions and defences -- United States
• Parent Bibliography ID:
  • BA0001061X