The recommendations in this brief create a framework for using data effectively to make instructional decisions. The availability of student-level data for educators has pushed forward the movement to strengthen the role of data to guide instruction and improve student learning. While improvements in technology and assessments, as well as recent…

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)

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…

High schools are increasingly expected to use data for improvement and to provide evidence that programs and instructional practices are preparing all students to develop essential knowledge and skills. This publication describes how schools can develop the capacity to analyze and use data as a core component of improving secondary schools using…

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…

Explores the possible uses of microcomputers in school libraries, including library administration and technical processing, communications, curriculum related databases, and online bibliographic services. The impact on students is discussed in terms of computer literacy and the acquisition of information skills. (CLB)

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)

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…