Colleges are increasingly using models to predict student behavior and intervene to change that behavior. Because of this, when projects involve partnering with a vendor, it is more important than ever to make the right choice about which vendor. In some ways, partnering with a vendor to use predictive analytics is similar to procuring any other…

This "Practitioner's Guide to Growth Models," commissioned by the Technical Issues in Large-Scale Assessment (TILSA) and Accountability Systems & Reporting (ASR), collaboratives of the "Council of Chief State School Officers," describes different ways to calculate student academic growth and to make judgments about the…

Drawing on the authors' extensive experience at Stanford University as well as the work of others, this book offers the first systematic approach to fiscal and human resource planning at colleges and universities. It shows how decision models can and should become an integral part of the planning process. The uses and misuses of planning models in…

Describes features of a macroeconomics model that runs on a microcomputer and its solution, sometimes called a simulation. Specific uses of the model in the teaching of introductory and intermediate/advanced levels of macroeconomics are discussed, as well as use by economic planners in running alternative forecasts. (MBR)

Four issues of gifted education for which more attention should be paid to the development of defensible rationales are examined, touching upon identification of the gifted, process models of gifted education, teachers of the gifted, and program evaluation. (DLS)

Presents three different, complementary statistical models for predicting faculty tenure dynamics, using data from Worcester Polytechnic Institute (Massachusetts). The difference equation model exactly describes future behavior but requires complete specification. The Markov-chain model can predict the full life-cycle of tenure from initial age…

A simple and effective model for forecasting freshman enrollment during the application period is presented step by step. The model requires minimal and readily available information, uses a simple linear regression analysis on a personal computer, and provides updated monthly forecasts. (MSE)

Argues that, with technology costs and revenue opportunities changing rapidly, colleges' future financial strategies concerning technology will have to be more agile and adaptable than ever. Presents financial models from 20 independent colleges and universities, and discusses how they have been used to define a financial strategy for technology…

Long-range planning is becoming increasingly important for educators in today's rapidly changing society. This bulletin accordingly presents a step-by-step model for school districts to use in developing and successfully implementing a long-range plan. Chapter 1 introduces long-range planning and suggests ways of getting district personnel…

Discusses importance of academic planning and describes a model-based decision support system for academic units in a university hierarchy. This system integrates macro-level decisions by examining individual departments' budgets to determine future plans. Quantitative techniques for forecasting change are reviewed, including use of spreadsheet…

Management aids required in strategic planning are divided into three categories: (1) assessing the environment, (2) providing a process for reaching decisions, and (3) presenting criteria to evaluate strategic decisions. A model for scanning the environment has four dimensions that concern economic, social, knowledge-technology, and public policy…

Using the Oklahoma State University (OSU) computerized community simulation model, extension professionals can provide local decision makers with information derived from an impact model that is dynamic, community specific, and easy to adapt to different communities. The four main sections of the OSU model are an economic account, a capital…

A five-year plan for admissions in a large state university is presented that considers current and projected enrollment, budget, space, equipment, computer liaison, recruitment, research personnel, publications, orientation, and public relations. (MSE)