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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
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Young, Robert E. – New Directions for Institutional Research, 1987
The future of faculty development programs will benefit most from a systematic assessment of program goals, a factor often ignored or taken for granted while program process and product are evaluated. (MSE)
Descriptors: College Administration, Comparative Analysis, Data Collection, Faculty Development
Reinhardt, Peter A.; And Others – Business Officer, 1987
Colleges must have a system to safely control the ordering, delivery, transport, storage, and use of hazardous material. Information on hazardous material management is excerpted from "Managing Hazardous Waste at Educational Institutions. (MLW)
Descriptors: College Administration, College Planning, Data Analysis, Data Collection
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Sirotnik, Kenneth A. – International Journal of Educational Research, 1987
A broad concept of evaluative information is offered in terms of multiple domain, multiple sources, and multiple methods. Comprehensive information collection is emphasized as part of a larger commitment to, and actualization of, a school based process of ongoing staff inquiry. (Author/JAZ)
Descriptors: Curriculum Evaluation, Data Collection, Educational Assessment, Elementary Secondary Education
Squires, David A. – Executive Educator, 1987
Defines curriculum as a written organizational plan used for conscious decisionmaking to enhance student achievement and promote responsible social behavior. All written plans for Red Bank (New Jersey) Schools, including testing, scheduling, and budgeting, become part of this curriculum. Workable plans need a sound structure and constant revision.…
Descriptors: Academic Achievement, Curriculum Development, Data Collection, Elementary Education
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Moore, Gary E.; And Others – Journal of Vocational Education Research, 1986
Guidelines that should be followed in reporting quantitative research are given. Common errors made in reporting research are discussed, along with specific suggestions on how to avoid the errors. (Author)
Descriptors: Data Analysis, Data Collection, Educational Research, Guidelines
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Scarth, John; And Others – Educational Research, 1986
Analysis of teachers' questions, part of the ORACLE (Observation Research and Classroom Learning Evaluation) project research, is examined in detail. Scarth and Hammersley argue that the rules ORACLE uses for identifying different types of questions involve levels of ambiguity and inference that threaten reliability and validity of the study's…
Descriptors: Classroom Observation Techniques, Data Analysis, Data Collection, Program Evaluation
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Utley, Bonnie L.; And Others – Exceptional Children, 1987
The study examined the effects of observation alone and observation coupled with data collection on teachers' (N=40) ability to analyze trends in handicapped student academic performance, based on videotaped samples. Observation alone was adequate to accurately analyze upward trends, but data were required to accurately analyze level and downward…
Descriptors: Academic Achievement, Data Collection, Disabilities, Elementary Secondary Education
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Boshier, Rogier; Collins, John B. – Adult Education Quarterly, 1985
In this study, Education Participation Scale data from 13,442 learners in Africa, Asia, New Zealand, Canada and the United States were combined and subjected to a cluster analysis designed to examine the extent to which Houle's typology fitted the phenomenological reality that exists within adult education participants. Results are described.…
Descriptors: Adult Education, Adult Learning, Adult Students, Classification
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Scott, M. M.; Hatfield, James G. – Journal of Educational Measurement, 1985
Differences in agreement between observers and analysts of naturalistic narrative data cause problems in observation research. This paper discusses the advantages and disadvantages of several possible solutions. (Author/GDC)
Descriptors: Behavioral Science Research, Data Analysis, Data Collection, Interrater Reliability
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Bakker, J. I. (Hans) – Journal of the Community Development Society, 1985
In this article, some of the constraints to the design of a feasible integrated, rural community development project in an isolated Third World setting are considered. Constraints to data gathering are considered in terms of reliability, validity, and multidisciplinary team work. (Author/CT)
Descriptors: Community Development, Data Collection, Developing Nations, Goal Orientation
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Mayer, Hanna – Canadian Journal of Educational Communication, 1986
Describes three basic approaches to needs assessment--problem identification, problem analysis, and problem verification--and assesses them in terms of their potential utility to users in business and educational settings as measured by their estimated time requirement, accuracy, and cost. Needs assessment data collection resources and techniques…
Descriptors: Comparative Analysis, Costs, Data Collection, Decision Making
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Brown, Ken – Mathematics in School, 1986
Describes investigations involving data acquisition and analysis using microcomputers running the LOGO programing language. Provides new primitives to add to LOGO to access information from the analog to digital converter of a BBC microcomputer, giving samples of student results. (JM)
Descriptors: Computers, Data Analysis, Data Collection, Geometry
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Webster, E. – Physics Education, 1986
Discusses the use of an external analog-digital converter to use a computer as a storage oscilloscope. Provides program listings for use as a unipolar or bipolar voltmeter and storage oscilloscope. Schematics and component list are included. (JM)
Descriptors: Computers, Data Collection, Data Processing, Electronic Equipment
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Biklen, Sari Knapp; Bogdan, Robert – New Directions for Program Evaluation, 1986
If one undertakes naturalistic evaluation without formal training, there are some important considerations and sources of information to keep in mind. Labor intensive qualitative approaches are discussed in terms of field relations, data collection and analysis, and writing. (Author/LMO)
Descriptors: Data Analysis, Data Collection, Ethnography, Field Studies
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