Investigates the sources of wage differentials for the faculty of a large urban university. Variables include sex, race, department differentials, age, seniority, education, and academic rank. (Author/DN)

Identification and explication of construct relationships, under conditions of extraneous variable control in multiple regression and its multivariate analog, canonical analysis, were studied. Several data models were generated as a function of the interaction of partial correlation and orthogonal linear transformations on nursing examination…

Three procedures used to control Type I error rate in stepwise regression analysis are forward selection, backward elimination, and true stepwise. In the forward selection method, a model of the dependent variable is formed by choosing the single best predictor; then the second predictor which makes the strongest contribution to the prediction of…

Ridge regression is presented as an analytic technique to be used when predictor variables in a multiple linear regression situation are highly correlated, a situation which may result in unstable regression coefficients and difficulties in interpretation. Ridge regression avoids the problem of selection of variables that may occur in stepwise…

The purposes of this paper are to provide an explanation of the way in which suppressor variables operate in multiple regression, and to provide illustrations of their effects with actual social science data. Examples are reviewed in which one predictor accounts for more of the variance in the dependent variable when another predictor is included,…

Since migration is strongly influenced by economic variables, an economic model was developed to identify, locate, and track migrant and seasonal farmworkers as they move throughout the United States. Focusing on the Florida-based migrant agricultural workers who migrated at least once during the past five years, the model included the following…

Commonality analysis is an attempt to understand the relative predictive power of the regressor variables, both individually and in combination. The squared multiple correlation is broken up into elements assigned to each individual regressor and to each possible combination of regressors. The elements have the property that the appropriate sums…

The use of characteristic coding (dummy coding) is made in showing solutions to four multivariate problems using canonical analysis. The canonical variates can be themselves analyzed by the use of multiple linear regression. When the canonical variates are used as criteria in a multiple linear regression, the R2 values are equal to 0, where 0 is…

The development of new admissions standards for freshmen entering the College of Liberal Arts, the College of Forestry, the Institute of Technology, and the University of Minnesota at Morris is described and supporting research presented. The new admissions standards, which are based on a multiple correlation and regression approach using first…

In 1965 the Court of Appeals of Kentucky ruled that all property should be assessed at 100 percent of fair market value. In compliance with the court decision, the county assessors began reassessing properties in January 1966. A great controversy arose over the new assessment procedures and problems. This study evaluates the results of the 1966…

Twenty-nine community characteristics were studied to determine which were statistically most useful as predictors of per-pupil Federal aid to the 169 school districts of Connecticut. Three regression models were developed using community traits as predictors of Federal aid allocations. Cross-validation of regression models to predict future…

Multiple regression analysis was used to test the hypothesis that student informal interaction with faculty significantly influences freshman-year "over-" and "underachievement." After controlling for pre-enrollment characteristics, interactions focusing on intellectual and career concerns were found to have significant, but…

Survey data were used to examine hypotheses about job size and satisfaction in a broad spectrum of jobs. Job size, higher-order need importance, urban-rural residence, and blue or white-collar job category were tested as predictors of satisfaction. Results are discussed in terms of three potential sources of variation in satisfaction: job, person,…

Discusses the concept of temperament interactions in the context of statistical interaction. Categorizes temperament interactions that involve temperament as an independent variable, as a dependent variable, or as both. Describes use of hierarchical multiple regression for the analysis of temperament interactions. (Author/CI)

Goodman's logit analysis (the simplest form of log-linear models) was used with hypothetical school survey data to analyze and predict teachers' attitudes toward proficiency tests. Logit analysis can estimate the "main effects" and "interaction effects" of categorical explanatory variables on dichotomous-dependent variables in…