An empirical study of statistical overkill investigated the generalizability of multiple regression equations as a function of the subject/variable ratio. Data from various-sized groups of rehabilitation clients were used to develop the equations. Findings showed that equations developed on samples with less than a 10 to 1 ratio failed to…

A population data set was randomly generated from which a random sample was drawn. This sample was randomly divided into two data sets, one of which was used to generate parameter estimates, which were then used in the second data set for cross-validation purposes. The best variable subset models were compared between the two data sets on the…

In order to make a computerized prediction study of population parameters in a junior college modestly equipped with modern data processing machinery, this study was designed to (1) develop an original data processing technique for scholastic prediction, (2) derive and evaluate a set of variables for predicting the success of new students, (3)…

Traditional predictor variables of SAT scores and high school grades seldom account for more than 16 percent of the variance in student performance in college and graduate school, and they account for even less in decisions of students to leave school. Three studies are presented that added nonintellective variables to the traditional combination…

The great growth in college enrollments, the changes in the availability of positions for college graduates, and the development in the science of testing go hand-in-hand in making the problem of the prediction of college success of greater importance than ever before. This bulletin brings the attention of educators upon the work which has been …