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Showing 1 to 15 of 30 results Save | Export
Soldner, Matthew – Association for Institutional Research, 2009
Since 2004, IPEDS data has been diffused via a product known as the Data Feedback Report (DFR). Produced yearly for each institution in the IPEDS universe, the DFR is a print product that contrasts the IPEDS data submitted by an institution with its institutionally-defined comparison group. The DFR is free to all users, covers a wide range of…
Descriptors: Postsecondary Education, Reports, Data Analysis, Comparative Analysis
Xiang, Yun; Hauser, Carl – Northwest Evaluation Association, 2010
The purpose of this paper is to offer an analytic perspective to policy makers and educational practitioners regarding how to use longitudinal achievement data to evaluate schools. The authors further discuss the potential practical applications of their models for superintendents, researchers, and policy makers. The premise of the study is that…
Descriptors: Academic Achievement, Comparative Analysis, Policy Formation, Data Analysis
Fossum, Donna; Eiseman, Elisa; Moreno, Connie S.; Painter, Lawrence S.; Blume-Kohout, Margaret E. – RAND Corporation, 2009
The Bayh-Dole Act of 1980 expressly gave colleges, universities, and other nonprofit entities the right, which had previously been presumptively held by the federal government itself, to patent inventions resulting from federally funded research and development (R&D) activities they conduct. In the nearly three decades since the Bayh-Dole Act…
Descriptors: Research and Development, Intellectual Property, Federal Government, Public Agencies
Peer reviewed Peer reviewed
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Hopstock, Paul J.; Pelczar, Marisa P. – National Center for Education Statistics, 2011
This technical report and user's guide is designed to provide researchers with an overview of the design and implementation of the 2009 Program for International Student Assessment (PISA), as well as with information on how to access the PISA 2009 data. This information is meant to supplement that presented in Organization for Economic Cooperation…
Descriptors: Parent Materials, Academic Achievement, Measures (Individuals), Program Effectiveness
Peer reviewed Peer reviewed
Whiteley, Meredith A.; Stage, Frances K. – New Directions for Institutional Research, 1987
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)
Descriptors: College Planning, Comparative Analysis, Data Interpretation, Higher Education
Peer reviewed Peer reviewed
Brinkman, Paul T.; Teeter, Deborah J. – New Directions for Institutional Research, 1987
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)
Descriptors: Comparative Analysis, Data Analysis, Data Interpretation, Higher Education
Peer reviewed Peer reviewed
Dunn, John A., Jr. – New Directions for Institutional Research, 1987
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)
Descriptors: Comparative Analysis, Data Collection, Disclosure, Higher Education
Peer reviewed Peer reviewed
McCoy, Marilyn – New Directions for Institutional Research, 1987
Comparison is inherent to system and state coordination activities and is valuable for overall review and for identifying differential needs. A variety of factors affect interinstitutional comparisons, and close cooperation between boards and institutions can increase the effectiveness of the process. (MSE)
Descriptors: College Planning, Comparative Analysis, Higher Education, Institutional Characteristics
Peer reviewed Peer reviewed
Bentley, Richard J.; And Others – Research in Higher Education, 1990
Ways to improve data comparability among national college faculty surveys are discussed. The surveys and some of their attributes are identified. Faculty sizes are estimated and weights for faculty in selected disciplines and institutions calculated. Weights were designed specifically for surveys conducted in 1969, 1975, 1980, and 1988.…
Descriptors: College Faculty, Comparative Analysis, Databases, Higher Education
Peer reviewed Peer reviewed
Stark, Joan S. – Journal of Higher Education, 1998
Proposes that higher education scholars distinguish among professional subjects taught to undergraduates as they do among traditional disciplines. Other distinctions may be more meaningful than the research-based dimensions used in the popular Biglan classification. A framework for differentiating collegiate career fields is proposed, evidence…
Descriptors: Classification, Comparative Analysis, Higher Education, Institutional Characteristics
Haberaecker, Heather J. – 1990
A framework is presented for developing and utilizing interinstitutional comparisons of nonacademic units in the program review process using Northeastern Illinois University of Chicago, Illinois, as an example. The framework is drawn from a review of the literature on organizational effectiveness and the various dimensions of management…
Descriptors: College Programs, Colleges, Comparative Analysis, Higher Education
Peer reviewed Peer reviewed
Machung, Anne – New Directions for Institutional Research, 1995
Response of colleges and universities to surveys from publishers of college guides and popular newsstand magazines is discussed, and considerations in developing a standard survey response are explored. These include the advantages and limitations of standardized information formats, how much of the information reaches prospective students, how…
Descriptors: College Administration, College Choice, Comparative Analysis, Guides
Peer reviewed Peer reviewed
Goldstein, Harvey – Oxford Review of Education, 1984
Discussed are the assumptions which underpin research studies of the effects of pupil, school, and local education authority characteristics on student achievement in Great Britain. The purpose is to clarify the necessary limitations on knowledge imposed by various research methods and to suggest how these might be improved. (RM)
Descriptors: Academic Achievement, Comparative Analysis, Comparative Education, Educational Assessment
Peer reviewed Peer reviewed
Lomotey, Kofi; Swanson, Austin D. – Education and Urban Society, 1989
Reviews the literature on school effectiveness, school size, and school culture. Compares characteristics of urban and rural schools, examines strengths and weaknesses, and considers policy alternatives for improving their effectiveness through restructuring school governance. (FMW)
Descriptors: Comparative Analysis, Educational Environment, Elementary Secondary Education, Institutional Characteristics
Peer reviewed Peer reviewed
Murray, David – New Directions for Institutional Research, 1991
Without an institutional research office to look at recruitment and retention programs, DePauw University (Indiana) relies heavily on institutional trend data and comparative information to assess the effectiveness of three initiatives: recruitment of large numbers of minority students, strategic use of financial aid, and use of market…
Descriptors: Affirmative Action, College Students, Comparative Analysis, Higher Education
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