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)

When the precise basis of selection effect on correlation and regression equations is unknown but can be modeled by selection on a variable that is highly but not perfectly related to observed scores, the selection effects can lead to the commonly observed "overprediction" results in studies of predictive bias. (Author/PN)

Presents the drastic effects that selection on several variables can sometimes have on the validity of predictor variables. Discusses practical implications of correcting correlations for selection effects and reporting results of validity studies. (Author)

Use of the Law School Admission Test (LSAT) and undergraduate grade point average for members of minority groups are examined in relationship to recent LSAT studies and related research on admissions tests and test bias. Traditional predictors of law school grades were found to be as accurate for minority as for majority persons. (JT)

The nature of admissions tests and their intended uses are reviewed. Evidence regarding the validity of tests, their contributions to admissions decisions, the effects of coaching, and possible bias in the predictive meaning of test scores for women and minorities are discussed. (Author/SLD)