Predicting College Achievement of Students from Farm Backgrounds

Academic achievement in various types of colleges was studied for a statewide population of college freshmen from farm backgrounds. As a group, farm freshmen obtained lower scholastic aptitude test scores, had achieved higher grades in high school, and continued to achieve higher grades in college than did freshmen from other backgrounds. They did not appear to be handicapped by their lower verbal test scores. Patterns of academic achievement among farm students did not differ in most of the different types of colleges studied. Differing patterns were found among those farm students who attended certain colleges at the state university.     

A developmental study of visual search behavior

Children in second, fourth and sixth grades and college sophomores were compared on a visual search and scanning task under three experimental conditions. In Condition I, a single target letter was sought in a list of letters of low visual confusability. In Condition II, two target letters were sought but only one appeared in a given list. In Condition III, a single target letter was sought in a list of letters of high confusability. Search time decreased with age in all three tasks. Searching for two targets was no harder than searching for one. A highly confusable visual context increased search time at all age levels.     

The simultaneous prediction of any number of criteria by the use of a unique set of weights

When several criteria are available, it is ordinarily necessary (1) to select one of them asthe criterion, (2) to use several and thus arrive at several different sets of weights, or (3) to combine them into a single measure. A formula is derived for the determination of a unique set of weights. The use of these weights will produce the highest possible average coefficient of correlation between the various criteria and two (or more) weighted independent variables. If desired, the criteria may be assigned any predetermined weights. The weights then derived for the independent variables are such that the weighted average of the correlation coefficients between the various criteria and the independent variable composite will be a maximum. In the use of these formulas, no assumptions are necessary regarding the interrelationships existing among the criteria and it is not necessary to compute the intercorrelations among the criteria. A numerical example is included.