Aggregation, or grouping, is a statistical procedure through which all members of a study within a specified range of scores (usually observed scores) are assigned a common or "group" score (for example, the group mean). The various social science methodology literatures agree on the costs of grouping: not only does one always lose…

This short article presents some preliminary findings of a study which explores the effects on the statistical findings of using alternative forms for specifying Test of Understanding in College Economics (TUCE) scores as the dependent variable in the regression model. (Author/RM)

It is demonstrated here that standardized regression coefficients greater than one can legitimately occur. Furthermore, the relationship between the occurrence of such coefficients and the extent of multicollinearity present among the set of predictor variables in an equation is examined. Comments on the interpretation of these coefficients are…

Thirty-two personnel specialists evaluated written performance descriptions of four secretaries. The fourth secretary was a target, whose age and job experience were experimentally manipulated in a 2 X 2 factorial design. Participants above (below) the median age provided lower (higher) evaluations to the older target than to the younger.…

A simple roof is presented: that the squared multiple correlation of a variable with the remaining variables in the set of variables is a lower bound to the communality of that variable. (Author/JKS)

The use of interaction and non-linear terms in multiple regression poses problems for determining parsimonious models. Several computer programs for using these terms are discussed. (JKS)

Data analyses are presented investigating the relationship of high school grade point average and first year university grade point average. A variety of analyses are presented; the results imply that high school attended is a better predictor of university performance for poorer students than for better students. (Author/JKS)

Limitations of dummy coding and nonsense coding as methods of coding categorical variables for use as predictors in multiple regression analysis are discussed. The combination of these approaches often yields estimates and tests of significance that are not intended by researchers for inclusion in their models. (SLD)

This article reviews some of the properties of criterion-scaled regression analysis, especially as it relates to the analysis of a repeated measures/randomized block design. (Author/LMO)

Among 153 young adult dating dyads, predictions were tested that were derived from a goodness of fit model of the role of temperament in person-social context relations, and from the related filtering/similarity hypothesis. Measured were each dyad member's temperament and expectations for partner's temperament. Results indicated a significant…

A summary and interpretation of the recent literature on the indeterminancy of factor scores is given in simple terms. A good index of factor score determinancy is the squared multiple correlation of the factor with the observed variables. (Author)

A study to demonstrate the use of multiple regression for evaluation of instructional strategies in science. Two groups of students received Audio-Tutorial and conventional instruction. Research design was a treatment by levels with two treatments and three levels of aptitude within each treatment. (PS)

Purpose of this article is to explain the fundamental nature and sources of regression toward the mean. The ultimate goal is that developmental psychologists understand regression effects well enough so that they will not make erroneous interpretations of such effects in their empirical data. (Author)

Authors discovered significant correlations between couse ratings and variables representing commitment and course-end attitudes toward the course; conclusions suggested steps an instructor might take to improve his ratings.'' (Authors)