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) find a pattern of order of predictability for the subcategories of students, and (4) investigate empirically the value of scaling predictor scores. Analyses of the incoming freshmen class were made and eleven variables were tested such as (1) high school average in major subjects, (2) composite score of the Iowa Tests of Educational Development, (3) composite score of the California Test of Mental Maturity, (4) verbal score on the School and College Ability Test, and (5) total score on the Cooperative English Reading Test. It was concluded that a small junior college quipped with a modest-sized computer was capable of conducting statistical studies of itself, that the guidance function of a junior college could be vastly enhanced through the use of regular studies in institutional self-analysis, and that the students who do not drop out have comparatively greater academic capability than those who do drop out. (DG)