A multiple regression approach was applied to data to measure the following by geographic municipality: the ratio of high school graduates enrolled in a given institution to that institution's entering freshman enrollment, eligible population, academic ability, educational attainment, income level, wage rate, unemployment rate, cost of attendance,…

Data from the National Research Council's Doctorate Records File extract prepared for UCLA indicated that source of support was the most important variable in predicting time to doctorate. Following source of support were postdoctoral plans, number of dependents, sex, and field of study. (Author/MLW)

What transpires when an institution of higher education is the defendant in a class action suit charging prejudicial treatment of a minority group is summarized. A demonstration of how the plaintiffs can use the institution's own data to establish a prima facie case for disparate treatment is presented. (Author/MLW)

A LISREL analysis demonstrates the value of regressing reputational ratings on three latent variables: size, faculty research productivity, and the quality of program graduates. The model was tested using National Research Council data for each of six disciplines: English, French, philosophy, geography, political science, and sociology.…

Data were gathered from nontraditional (commuter, part-time) freshmen at a midwestern urban university. Dropout was a function of grade point average and credit hours enrolled, as well as the utility of education for future employment, satisfaction with the student role, opportunity to transfer, and age affecting dropout through intent to leave.…