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ERIC Number: ED479509
Record Type: Non-Journal
Publication Date: 2003-Apr
Pages: 19
Abstractor: N/A
Reference Count: N/A
Analysis of Differential Prediction of Law School Performance by Racial/Ethnic Subgroups Based on the 1996-1998 Entering Law School Classes. LSAC Research Report Series.
Anthony, Lisa C.; Liu, Mei
This study was designed to address questions of differential prediction of law school grades for various racial/ethnic minority subgroups. Differential prediction was evaluated by comparing the predicted and actual law school first-year grade point averages (FYAs) for various racial/ethnic subgroups within individual law schools based on regression equations commonly used in the admission process. The sample was drawn from the 1996, 1997, and 1998 entering law school classes, using data from the Law School Admission Council sponsored Correlation Studies. Data from 167 law schools, each of which enrolled 10 or more first-year students who identified themselves as Asian American, Black, or Latino were analyzed and reported. Statistical regression analyses were carried out to predict FYA using Law School Admission Test (LSAT) alone, undergraduate grade point average (UGPA) alone, and the best predictive linear combination of these two variables. Analyses were carried out separately for each school, resulting in three regression lines for each law school. Analyses were also carried out for the combined group of students in the study. Results indicate that the equation combining LSAT score and UGPA to predict FYA results in more accurate prediction than an equation using either LSAT score or UGPA in isolation. FYA tended to be overpredicted on average very slightly by this equation for all three of the minority groups, with the most overprediction for Black students and the least for Asian American students. The use of UGPA alone to predict FYA consistently resulted I the greatest average overprediction of FYA. These results do not support the concern that LSAT score or the traditional combination of LSAT score and UGPA may result in unfair admission decisions for the minority subgroups studied here. (Contains 4 tables, 6 figures, and 13 references.) (Author/SLD)
Publication Type: Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: Law School Admission Council, Newtown, PA.
Identifiers - Assessments and Surveys: Law School Admission Test