Basic rules are suggested to replace the signed coefficient rule to infer the form of moderator effects in terms of slopes of regression lines. Steps are provided to interpret the form of moderator effects that can be achieved using only the regression coefficients of the predictor variable and interaction term. (SLD)

The Goodman technique of log linear analysis is ideal for family research, because it is designed for categorical (non-quantitative) variables. Variables are dichotomized (for example, married/divorced, childless/with children) or otherwise categorized (for example, level of permissiveness, life cycle stage). Contingency tables are then…

An empirical study of statistical overkill investigated the generalizability of multiple regression equations as a function of the subject/variable ratio. Data from various-sized groups of rehabilitation clients were used to develop the equations. Findings showed that equations developed on samples with less than a 10 to 1 ratio failed to…

In this paper the bootstrap technique was applied to the evaluation of potential predictive bias for different ethnic groups using the Scholastic Aptitude Test (SAT) and high school ranks to predict college grade point averages (GPAs). Data of three ethnic groups were used; the total number of subjects was close to 5,000. Both conventional…

The report is concerned with the feasibility of matching people and jobs as proposed by the Theory of Work Adjustment; according to the third proposition of this theory, satisfaction is a function of the correspondence between the reinforcer system of the work environment and the individual's needs, with certain qualification. In the study, the…

A method for drawing inferences from complex samples is based on Rubin's approach to missing data in survey research. Standard procedures for drawing such inferences do not apply when the variables of interest are not observed directly, but must be inferred from secondary random variables which depend on the variables of interest stochastically.…

Traditional predictor variables of SAT scores and high school grades seldom account for more than 16 percent of the variance in student performance in college and graduate school, and they account for even less in decisions of students to leave school. Three studies are presented that added nonintellective variables to the traditional combination…

The great growth in college enrollments, the changes in the availability of positions for college graduates, and the development in the science of testing go hand-in-hand in making the problem of the prediction of college success of greater importance than ever before. This bulletin brings the attention of educators upon the work which has been …