Stepwise multiple regression was used to develop salary prediction equations, one from each of two faculty samples used most frequently used in this type of research. An analysis of the model found that on average women were paid significantly less than men. (RB)

The purpose of this report is to describe a process for creating unique multiple linear regression problems for each student. Three formulas were utilized to define intercorrelations between variables. (Editor)

Possibilities of using regression techniques for predicting, evaluating, and controlling the performance of bibliographic search procedures are explored. "Least time" search sequences for bibliographic searching are determined. (Author)

This paper contains information concerning the following: 1. An overview of multivariate analysis of variance, and discriminant (DA) and canonical (CA) analyses. 2. An introduction to specification and measurement errors, and collinearity. 3. The sparsity of information concerning specification and measurement errors and collinearity as they…

This study investigated factors underlying discrimination against woman doctoral students. Analyses revealed that faculty attitudes and behavior toward woman doctoral students contributed significantly to their emotional stresses and self-doubts. (Author/NE)

(See also TM 501 087, TM 501 088, TM 501 090.)

(See also TM 501 087, TM 501 088, and TM 501 089.)

Explains some of the implied assumptions about the nature of goals as things among which persons may reasonably choose or about the behavior of personal preferences or both -- inherent in proposed approaches to the selection and definition of instructional goals by Grotelueschen and Gooler (CTN; Nos. 8-9, pp7-21 1971-72). Argues that an…

Paper presents an example of the use of the linear model for attitude measurement emphasizing the validation of the regression weights by comparing them with traditional and more direct measures of attitude. (Author)

Perspective on article by P. Isaac published in the Psychological Bulletin, 1970, 74, 213-18. (CB)

Multiple discriminant function analysis is used to locate differences in inventoried interests among a selected engineering sample. This technique is an effective statistical procedure for discriminating among occupational groups where data similar to that analyzed in the article are available. (Author/CK)