This purpose of the present study was to estimate minimum admission requirements using cognitive measures that will maximize candidate success on the doctoral comprehensive examination. Moreover, the present study established minimum scores on the Graduate Record Examinations (verbal and quantitative components) that will maximize doctoral student…

Interpretation of emergent variables on the basis of structure coefficients (zero order correlations between original and emergent variables) is potentially very misleading and should be avoided in favor of interpretation on the basis of scoring coefficients. This is most apparent in multiple regression analysis and its special case, two-group…

This paper discusses the principles underlying discriminant analysis and constructs a simulated data set to illustrate its methods. Discriminant analysis is a multivariate technique for identifying the best combination of variables to maximally discriminate between groups. Discriminant functions are established on existing groups and used to…

Linear classification functions (LCFs) arise in a predictive discriminant analysis for the purpose of classifying experimental units into criterion groups. The relative contribution of the response variables to classification accuracy may be based on LCF-variable correlations for each group. It is proved that, if the raw response measures are…

Reviews a study of 117 students at the University of Saskatchewan which examined the relationship between high school computer experience and university achievement in introductory computer science. The pretests used are described, findings are analyzed, and student withdrawal patterns are discussed. (Author/LRW)