The relative contribution of undergraduate grade point average (UGPA) and the Law School Admission Test (LSAT) to predicting academic performance in each of three years of law school was investigated. The LSAT makes its greatest contribution in early years and UGPA in later years. (Author/BW)

Preceeding through the development of a sequence of paired calibrations determined by a hierarchical clustering algorithm, the proposed method of constructing a universal criterion scale does not rely on covariate information. The procedure is illustrated with data from American law schools. (Author/BW)

A universal criterion scale is applied to the direct estimation of validity for various groups of law school applicants and to the testing of the assumptions underlying the more familiar extrapolation methods. Data from American law schools are used to illustrate the procedures. (Author/BW)

Using predictive validity studies of the Law School Admissions Test (LSAT) and the undergraduate grade-point average (UGPA), this study examined the large variation in the magnitude of the validity coefficients across schools. LSAT standard deviation and correlation between LSAT and UGPA accounted for 58.5 percent of the variability. (Author/EGS)

Two statistical approaches for adjusting grades were tested on data obtained from four American law schools (642 students). Neither item response theory nor the general linear model yielded consistent improvements in the predictive validity of Law School Admission Test scores and undergraduate grades for three schools. (SLD)

A study evaluated the accuracy of Law School Admission Test (LSAT) scores in predicting student law school performance. Male and female scores and White, Black, or Hispanic scores were compared. Data were drawn from 1987 and 1988 graduating classes of five geographically diverse law schools. No significant differences between groups were found.…