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Cherfas, Jeremy – Science, 1990
Argues about the conclusion that bigger science departments are more productive than smaller ones. Indicates the conclusion cannot be supported by the data. (YP)
Descriptors: College Faculty, College Science, Data Interpretation, Faculty
McCarthy, John H.; Turner, Robert M. – Association of Governing Boards of Universities and Colleges, 1998
This booklet for trustees of higher education institutions offers guidelines to help trustees understand the institution's financial statements. Individual sections describe the three major financial statements and cover topics such as: (1) standards of the Financial Accounting Standards Board; (2) the "statement of financial position,"…
Descriptors: Accounting, Budgeting, Budgets, Data Interpretation
Council of Ontario Universities, Toronto. Research Div. – 1991
This publication provides macro-indicators and complementary analyses and supporting data for use by policy and decision makers concerned with Ontario universities. These analytical tools are meant to unambiguously measure what is taking place in Canadian postsecondary education, and therefore, assist in focusing on what decisions need to be made.…
Descriptors: Data Interpretation, Decision Making, Educational Planning, Educational Policy
Advisory Committee on Student Financial Assistance, Washington, DC. – 1991
In 1989 and 1990 the Advisory Committee on Student Financial Assistance to standing committees in the U.S. Congress identified and explored issues for consideration in the reauthorization of the Higher Education Act and Title IV programs. Through 18 months of information gathering the Committee uncovered three problem areas. The first problem is…
Descriptors: Access to Education, Data Collection, Data Interpretation, Delivery Systems
McClure, Charles R.; And Others – 1991
This report presents a summary of activities, findings, and recommendations from Phase I of a project to improve the effectiveness of academic health science libraries and their provision of information services. The objectives for Phase I of the project are given: (1) to identify academic health science library requirements in the areas of…
Descriptors: Academic Libraries, Data Collection, Data Interpretation, Databases
Middaugh, Michael F.; And Others – 1994
This book provides conceptual and practical strategies for the data and information collection and analysis needs of a diverse group of institutions, ranging from small rural community colleges to large urban research institutions. The model framework is designed for use by any size or type of institution and gives a broad overview of various…
Descriptors: Audits (Verification), Colleges, Data Analysis, Data Collection