NCJ Number
129996
Journal
Journal of Criminal Justice Volume: 19 Issue: 1 Dated: (1991) Pages: 31-48
Date Published
1991
Length
18 pages
Annotation
Using LISREL and computer-generated graphics, this study evaluates jury representation based on simple random sampling, demonstrates how an alternative cluster sampling can ensure an egalitarian system of juror selection, and shows the extent to which cluster sampling can ensure racially balanced juries.
Abstract
Because the population in the research site, Long Beach, California, is unequally divided along ethnic and racial lines, traditional methods of jury selection based on random sampling generate unrepresentative juror pools. This analysis argues that the development of a representative list and other selection procedures must account for the effects of racial and socioeconomic factors on residential segregation. A cluster sampling method with the probability proportionate to size (PPS) incorporates neighborhood segregation and generates a list of potential jurors that reflects a cross-section of the community. Analysis results were validated by chi-square and Z test statistics. The authors maintain that assurance of a cross-sectional juror pool conforms to requirements established by Federal and State law. 5 tables, 1 figure, 3 maps, 9 notes, and 42 references (Author abstract modified)