Institutional comparison groups can be selected in several ways, depending on the comparison issue. The method chosen involves both technical and political considerations. (Author/MSE)

The widespread use of comparative data can lead to problems on a campus unless the data are systematically incorporated in the institutional planning cycle. A model has been developed to alleviate a number of problems and increase the power of comparison as a management tool. (MSE)

Setting up a successful interinstitutional data-sharing project involves commonsense guidelines: be clear about what is wanted, take advantage of what already exists, use appropriate technology, staff adequately, recognize institutional differences, and concentrate on achieving insight rather than precision. (Author/MSE)

Technology can be an obstacle or an advantage to cooperative data sharing within and between colleges and universities. Taking a technology-oriented approach before the technology is ripe for general use can be counterproductive. Many technical difficulties can be overcome by encouraging consortium staff to promote new methods of information…

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…

Benefits and potential problems with formal college and university programs of Interinstitutional data sharing are examined from an institutional perspective and the perspective of the institutional researcher. Benefits include access to data, networking and consulting, efficiency, increased researcher visibility, and better understanding of…

Models for college and university Interinstitutional data sharing are redefined by examining the organization and activities of existing data-sharing groups across 11 dimensions: data-sharing purpose; nature of data-sharing structures; definer of process; calendar; scope of surveys; participant characteristics; source of data-sharing initiative;…

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)

The costs to colleges and universities of establishing a data-sharing exchange are examined, and it is argued that in most cases, the financial costs are minimal when compared to the potential opportunity cost of making decisions without access to good comparative information. (Author/MSE)

Internal institutional auditing can improve effectiveness and efficiency and protect an institution's assets. Many of the concepts and techniques used to analyze higher education institutions are qualitative in nature and suited to institutional research, including fiscal, operational, data-processing, investigative, management consulting,…

A statewide performance funding initiative provided a strong incentive to examine student outcomes. The result has been a systematic program of data collection and dissemination that has significantly affected both the curriculum and the university's budgeting process. (Author/MSE)

Before joining a data-sharing consortium, colleges and universities must address issues regarding goals and expectations, including why comparative data are needed, information types needed, needed comparisons, selection of institutions for comparison, data accessibility, time requirements, costs, and need for technical expertise. (MSE)

Efforts to assess quality of academic life at Vanderbilt University (Tennessee) resulted in a plan to merge qualitative and quantitative measures and uncovered political, logistical, and fiscal issues in collection and use of the two kinds of data. Although qualitative databases are costly, they are also very useful in different ways. (Author/MSE)

An overview of college guidebooks examines their origins, development, types, impact on both consumers and colleges, and current trends and future prospects. It is argued that publishers will gain credibility by standardizing data collection and reporting formats and by no longer trying to rank colleges on criteria that change annually and fail to…

A set of general policies or ground rules is desirable for colleges and universities planning to participate in both basic and more complex data exchanges with other institutions. Participation in data exchange is enhanced by well-defined and comparable institutional memberships, clear organizational objectives and data, high-quality and timely…