Dual enrollment is a complex policy issue and is increasingly of interest to state policymakers. Adequate data and data systems are critical to informing dual enrollment policy, yet the data at the federal level and many state data systems suffer from common challenges and lack the capacity to address dual enrollment policy. We review the…

This chapter provides examples of innovative methods and tools to collect, analyze, and report both quantitative and qualitative data in student affairs assessment.

The future of faculty development programs will benefit most from a systematic assessment of program goals, a factor often ignored or taken for granted while program process and product are evaluated. (MSE)

Many institutions develop institutional goals, but few continue to the next step--assessing the extent to which the institution has achieved its goals. Some methods for assessing progress toward achieving goals are described.(MLW)

Five categories of student outcomes in graduate and professional education are identified: timely degree completion; knowledge of the discipline; preparedness for professional practice; preparation for research and inquiry; preparation for teaching. A framework for assessing each is offered and various methods for collecting data on student…

A case history is presented that recounts the evolutionary development of a unified evaluation, budgeting, and planning system at Michigan State University. It is a system that is strongly based on the collection and analysis of department, college, and institutional data. (Author/MLW)

Historically, statistics have been important in intercollegiate sports. At first, the data were kept as game statistics, but more recently they have been used for institutional research, accountability, compliance with regulations, and public relations. (MSE)