The original aim of this investigation was to discover what relations exist between race attitudes and certain personality traits. For that purpose, a standard neurotic inventory and an attitude scale were applied to three dissimilar groups of subjects, and the results, obtained by multiple-factor analysis carried out independently for each of the three groups, compared with one another. The components of neurotic tendency, as displayed by each of the three groups, show a high measure of agreement and appear to be reconcilable with other interpretations of neurotic personality. So far as the original aim of the study is concerned, there appears to be a slight but significant tendency for the neurotic factor of hypersensitiveness to affect the race attitudes of Europeans towards the native in South Africa in a negative or unfavorable direction.

In certain situations it is important to obtain as many measures as possible, all presumably measuring the same function, for each of a group of persons. In general the number and source of the measures may vary from one member of the group to another. We take the mean of the measures for each person as the best estimate of the function for that person. The conventional formulas can not be used to determine the reliability of a set of means so obtained. A formula is developed which provides a unique estimate of the reliability of such a set of means. The formula is more general than some of the well-known reliability formulas, so that these formulas are shown to be special cases of the more general formula.

This is an experimental study of the application of factor analysis to a new domain—the formation of job families. Correlations between jobs are computed from the formula based on the number of common elements between two variables and the job analyses provide the basic data on the presence or absence of the elements. A first-order general factor and four common factors are obtained in a small sample of twenty occupations. Tentative interpretations are made and implications for job analysis and the formation of job families are pointed out.

This note directs attention to the basic similarity between a factor analysis method described by Holzinger in 1944 and what Thurstone has called the multiple group method. With minor modifications and the application of Holzinger's method in several successive cycles until the residuals vanish, the methods are essentially the same.

Data resulting from the administration of the USAFI Tests of General Educational Development to more than 1000 junior Air Force officers have been statistically analyzed to indicate the reliability of these tests, their correlation with school achievement, the comparability of their intercorrelations with intercorrelations among grades in school subjects, their capacity for differential diagnosis, their factorial composition, and their average item-test correlations. In the light of these findings and the finding that there is a low gradient between achievement on these tests and amount of formal education among these officers, the tests have been evaluated as possessing the practical validity suggested by their face validity for selection of young Air Force officers for assignment to study at civilian colleges and universities.

This paper discusses the properties of distributions of test scores and advances the view that the properties of the distribution should depend on the function which the test is intended to perform. A theory of test discrimination is developed which defines discriminatory capacity in terms of the number of relations of difference established by the operation of administering a test of k items to a sample of n individuals. A simple proof is presented which indicates that maximum discrimination between individuals is achieved when tests are constructed to yield distributions of the rectangular form. A coefficient of test discrimination is developed. The problem of obtaining in practice distributions approximating to the rectangular form is briefly discussed.

This paper describes a systematic plan for computing all of the product-moment correlation coefficients among a number of variables that has been taught by Professor Toops for many years. It offers several advantages over a scheme presented by Kossack in a recent issue of this journal.