Abstract
This paper examines a computer-aided evaluation of racial representation injury selection. The main thrust of the paper is to present a technical comparison of two methods of selecting jury panels utilizing both spatial analyses and covariance structural modelings (LISREL). The computer-aided geographic analysis of racial representation in jury selection is further illustrated by the use of both spatial display of racially segregated residential patterns and inferential statistical methods in substantiating disproportionate racial representation in jury panels. The research site is the Long Beach Superior Court District, Los Angeles County, CA. The spatial analysis demonstrates that if representative jury panels are to be obtained, court officials must recognize the existence of racial residential segregation. Minority and ethnic groups are unequally distributed in neighborhoods and consequently within the area served by the court. Thus, the selection process must incorporate racial and socioeconomic patterns affecting residential segregation into the selection process.
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