Both routine monitoring reports and special studies contribute to effective fund-raising efforts and the provision of services to alumni of the Massachusetts Institute of Technology. A long-range strategy committee was established to determine market-research needs and approaches and to establish long-term alumni-relations priorities. The alumni…

Major categories of national higher education data are outlined and descriptions and sources are provided for over 50 databases. Categories include institutional descriptors, enrollments/completions, student demography, student longitudinal data, financial aid, institutional financial support, tuition/fees, faculty/staff salaries and benefits,…

Institutional researchers are often called on to compare financial performance across institutions as part of comprehensive institutional management teams. Several types and sources of national data, including databases and publications, are appropriate for this, each with particular strengths and limitations. Three sources also provide…

It is proposed that numerous national surveys of faculty since the late 1960s provide institutional researchers and others with rich sources of descriptive data to help address the shifting national issues and institutional concerns related to faculty resources. An annotated list of 12 major faculty surveys is appended. (MSE)

Two types of national data sets are described and used to analyze minority student equity in higher education: longitudinal survey data for tracking student persistence and cross-sectional data for monitoring the performance of institutions. Development of additional data sets of institutional characteristics that can provide true explanatory…

The National Science Foundation's Computer-Aided Science Policy and Research database system provides microcomputer-based access and manipulation of multiple national databases for federal and now institutional use. Applications at West Virginia University, Portland State University, and the State University of New York at Buffalo pilot tested the…

Constructing a longitudinal student outcomes data file takes careful planning and attention to detail, but investment in such a resource yields substantial dividends in the ability to document and explain complex patterns of student success. (Author)

Involvement of the institutional research office at the University of Texas at Austin in integration of student-athlete data into the central database is described, including identification of data maintained in different offices, internal and external data reporting needs, and expansion of central files. Lessons learned from the effort are…

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)

Selected data drawn from national sources are statistically refined to construct a microcomputer-based model for monitoring academic quality and simulating the effects of management decisions. The method, illustrated for doctoral institutions here, can be used for colleges at any level, across institutions, and over time. (MSE)

Approaches to college student monitoring have been shaped by changing contexts and evolving technical capabilities, beginning with retention studies and developing into fully relational databases for cohort tracking. Institutional researchers should know this history and be aware of the specific demands for information that future tracking systems…

The evolution of the student tracking system at Amarillo College, a Texas community college, is chronicled for three stages: (1) early efforts; (2) participation in the development of a consortium-based longitudinal student tracking project beginning in 1986; and (3) more recent developments. Tools and techniques used at each stage are discussed…

Development, structure, and uses of multi-institutional and statewide student databases at the state level are examined, based on results of a national survey of state higher education agencies. The issue of confidentiality is also discussed. Construction and uses of a multi-institutional system in Colorado are then described, and its advantages…

Argues that shifts in government policies can produce unintended consequences for needy students and the institutions they attend, and illustrates how campus units can cooperate to examine the impact of these changes through creation of longitudinal databases and data warehousing techniques. Describes the approach used and results of a study at…

A discussion of new technologies and strategies for monitoring college student progress identifies four stages of developing information systems: (1) problem definition and systems specification; (2) data extraction and synthesis; (3) data analysis; and (4) dissemination. Some trends in use of data sources, analysis types, tracking capabilities,…