Research has often found that, when high school grades and SAT scores are used to predict first-year college grade-point average (FGPA) via regression analysis, African-American and Latino students, are, on average, predicted to earn higher FGPAs than they actually do. Under various plausible models, this phenomenon can be explained in terms of…

The personalbiserial index is a correlation which measures the relationship between the difficulty of the items in a test for the person, as evidenced by this passes and failures, and the difficulty of the items as evidenced by group-determined item difficulties. Reliability and predictive validity are studiesstudied. (Author/RF)

Purpose of this investigation was to determine whether the inclusion of quadratic and/or interaction terms in a regression model would improve the prediction of student nurses' grade point averages. (Authors)

The common approach to studies of predictive bias is analyzed within the context of a conceptual model in which predictors and criterion measures are viewed as fallible indicators of idealized qualifications. (Author/PN)

Two problems in the investigation of predictive bias in tests, the effect of unreliability of the predictors, and the effect of excluding a predictor from the regression equation on which there are preexisting group differences, are discussed. (Author)

Preliminary factor analyses of predictor tests in advantaged and disadvantaged groups is recommended as a way of forming a priori expectations concerning validities of the predictors to guide both use and research. (Authors)

This study was designed to determine whether adjustments for the differential prediction observed among sex, racial/ethnic, or age subgroups in one freshman class at a college could be used to improve prediction accuracy for these subgroups in future freshman classes. (Author/LMO)

Differential prediction of two-year grade point average is reported for gender groups within university programs of study. Johnson-Neyman analyses indicated regions on the predictor score scales where differential prediction has practical impact for a significant portion of students. Careful selection of a subset of variables can reduce…