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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
Lehman, Christine B.; And Others – 1986
The purpose of this guide is to provide local Head Start program decision-makers with a tool that will be useful in developing needs assessments appropriate to their communities, whether urban or rural. Although the guide focused on community needs assessments for planning mainstream services for children with handicapping conditions, its…
Descriptors: Check Lists, Community Surveys, Data Collection, Data Interpretation
Moore, Nick – 1989
This manual identifies a series of performance measurements which, when assessed in their totality, can effectively measure a public library's level of service to its users. The measures have been developed at two levels. On one level, the measures can broadly evaluate the overall performance of library systems on the national level; on a second,…
Descriptors: Attitude Measures, Data Interpretation, Evaluation Criteria, Library Collections
Campbell, Patricia B. – 1986
This pamphlet provides suggestions for school administrators concerning how to best use and interpret educational research. Research and evaluation can provide educational administrators with information necessary to make and justify decisions about programs, testing, and teacher performance. Administrators must remember that: abstracts and…
Descriptors: Administrator Role, Data Interpretation, Educational Research, Elementary Secondary Education
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