The utility of a standard composite for forecasting academic performance in several liberal arts colleges
Wilson K.M.
1976
Research in Higher Education
2
10.1007/BF00991963
In this study, one linear discriminant function of four admissions scores was found to exhaust more than 90% of their predictive power for separating 16 college/level-of-achievement groups - i.e., high- and low-performing freshman women at each of eight liberal arts colleges. Moreover, the corresponding discriminant score yielded validity coefficients vs freshman- and senior-level continuous grade-average criteria within each college comparable to coefficients yielded by group-specific, regression-weighted composites of the four scores in cross-validation samples. Results of the study suggest that multiple-discriminant analysis provides a rigorous and practical basis for adding an important and largely unexplored between-group dimension to studies in the prediction of within-group performance. © 1976 APS Publications, Inc.
discriminant analysis; forecasting college performance; generalized weighting of predictors
Guilford J.P., Fundamental Statistics in Psychology and Education, (1965); Hoyt D.P., Forecasting academic success in specific colleges, (1968); Karas S.F., Kendall L.M., Development of a reduced set of composite equations for three predictors, (1966); Kelley T.L., The selection of upper and lower groups for the validation of test items, Journal of Educational Psychology, 30, pp. 17-24, (1939); Lunneborg C.E., A research review of the Washington precollege testing program, Journal of Educational Measurement, 3, pp. 157-166, (1966); Schrader W.B., Pitcher B., Discriminant function analysis in the prediction of law school performance, (1972); Thorndike R.L., Personnel Selection, (1949); Wilson K.M., The contribution of measures of aptitude (SAT) and achievement (CEEB Achievement Average), respectively, in forecasting college grades in several liberal arts colleges, (1974)
Kluwer Academic Publishers
Article
Scopus