Some recurrent problems in interpreting statistical evidence in equal employment cases

被引:6
作者
Gastwirth, Joseph L. [1 ]
机构
[1] George Washington Univ, Dept Stat, 739 Phillips Hall, Washington, DC 20052 USA
关键词
disparity; disparate impact; equal employment; hypothesis testing; minority availability; Type I and Type II errors; p-value; power; sample size; stratified data; ISSUES; SAMPLE;
D O I
10.1093/lpr/mgx017
中图分类号
D9 [法律]; DF [法律];
学科分类号
0301 ;
摘要
Although the U.S. Supreme Court accepted statistical evidence in cases concerning discrimination against minorities in jury pools and equal employment in 1977, several misinterpretations of the results of statistical analyses still occur in legal decisions. Several of these problems will be described and statistical approaches that are more reliable are presented. For example, a number of opinions give an erroneous description of the p-value of a statistical test or fail to consider the power of the test. Others do not distinguish between an analysis of a simple aggregation of data stratified into homogeneous subgroups, and one that controls for subgroup membership. Courts have used measures of 'practical significance' that lack a sound statistical foundation. This has led to a split in the Circuits concerning the appropriateness of 'practical' versus 'statistical' significance for the evaluation of statistical evidence.
引用
收藏
页码:181 / 201
页数:21
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