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Ewell, Peter T. – 1983
The use of student outcomes data in higher education is discussed. Consideration is given to a widely recognized taxonomy of student outcomes developed by Alexander Astin and his associates, and a classification of outcomes developed by Oscar Lenning and his associates at the National Center for Higher Education Management Systems (NCHEMS). Issues…
Descriptors: Classification, College Graduates, Databases, Educational Assessment

Endo, Jean; Bittner, Terry – New Directions for Institutional Research, 1985
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)
Descriptors: Academic Achievement, Case Studies, Databases, Educational Assessment
Gilmer, Debbie; McElroy, Meg – 1993
This final report describes major activities of a Maine project to develop a follow-up and follow-along survey instrument and data management system to allow local school districts to determine outcomes for graduates with disabilities and use this information in program review and modifications. The report explains the process used in the 1-year…
Descriptors: Database Management Systems, Disabilities, Followup Studies, Graduate Surveys
Bassett, Roger – 1979
Experiences of pilot-test state agencies in developing an information system are summarized, as part of the State Level Information Base project. The background and functions of each of the eight pilot-test state agencies are described, along with the information systems approach, and planning responsibilities (comprehensive planning, budgeting,…
Descriptors: Adult Education, Case Studies, College Planning, Continuing Education
Starr, Harold – 1987
This guide is intended for local- and state-level vocational education administrators, planners, and evaluators who are responsible for making program planning and evaluation findings and decisions geared toward increasing program relevance. The method differs from more traditional approaches in its heavy reliance upon the selection and…
Descriptors: Computer Oriented Programs, Data Analysis, Data Interpretation, Databases