Colleges have increasingly turned to predictive analytics to target at-risk students for additional support. Most of the predictive analytic applications in higher education are proprietary, with private companies offering little transparency about their underlying models. We address this lack of transparency by systematically comparing two…

Using empirical research methods to segment alumni markets, profile donors, prioritize prospects, and project realistic budgets becomes more important as fundraising goals expand. Projecting alumni growth and its impact on program and budget planning, profiling donors and nondonors, and ranking prospects are discussed. (MLW)

Increasing demands for accurate forecasts in such areas as student enrollment, energy expenditures, and facility capacity are placing new demands on the institutional researcher. A variety of forecasting models and methods are available, all to be used with caution in long-range forecasting. (Author/MSE)

This paper explores the need for a better understanding of the influences of prices and student aid on student enrollment and college budgets. The theory of net price has not been found to adequately explain changes in enrollment. Based on a critical review of recent research on student price response, this paper develops an alternative approach…

This paper examines the applicability of net tuition revenue models for a highly selective, elite priced, private research university in the southern U.S. Pricing and aid strategies for this university seem to be driven by intuitive assumptions about the economy, market forces, needs-blind admissions, student satisfaction, net price…

Because the enrollment question is central to the resolution of a number of issues facing higher education, institutions as well as jurisdictional bodies have become increasingly concerned with the determination of future student demand. However, the changing characteristics of our population indicate the need for a new and somewhat more complex…

This paper describes a methodology used in an on-going retention study at New York University (NYU) to identify a series of easily measured factors affecting student departure decisions. Three logistic regression models for predicting student retention were developed, each containing data available at three distinct times during the first…

The relationship between student satisfaction and performance and persistence were studied at a large midwestern, urban commuter university. A student satisfaction survey was completed by 1,643 students (out of 3,004 students), who rated their level of satisfaction with 48 specific and 5 general aspects of their college experiences. Performance…

Background information is provided on the development and activities of Project Cooperation, a demonstration project to help institutions improve educational effectiveness by employing outcomes measures and assessment strategies. After highlighting the various activities of the project (e.g., a national survey, research on different plans and…

A salary prediction model for college faculty that is used at Georgia State University was reviewed and tested using multiple regression analysis. Various model specifications, incorporating academic rank, academic discipline, and academic experience, including professional and personal background characteristics, are reviewed. Academic rank is an…