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Teuteberg, Dan; Cummins, Melissa M. – Journal of Extension, 2017
Understanding resources available in a community is essential before any 4-H youth development professional can begin addressing local needs. Conducting a community assessment generates valuable information about the unique components and resources of a specific community. This information then provides a foundation for identifying specific…
Descriptors: Extension Education, Youth Programs, Evaluation Methods, School Districts
Peace Corps, 2014
Data-driven decision making is part of our everyday lives. For example, we examine our children's immunization charts in order to indicate what vaccinations they have received, as well as what vaccinations are missing and expired. We use information, like a chart, to make decisions about what to do and what not to do. Data-driven decision making…
Descriptors: Data, Decision Making, Volunteers, Training
Huff-Eibl, Robyn; Miller-Wells, John; Begay, Wendy – Journal of Access Services, 2014
This article describes the process and role frontline access and public service staff play in needs assessment and evaluation of user services, specifically in understanding the voice of the customer. Information includes how the University of Arizona Libraries have incorporated daily data collection into the strategic planning process, resources…
Descriptors: Library Services, Library Development, Decision Making, Data
Hugentobler, Margrit K.; And Others – Health Education Quarterly, 1992
A longitudinal multimethod intervention project studying the relationship between work stress and health combined qualitative and quantitative techniques such as semistructured individual and focus group interviews, field tests, and surveys. The multifaceted approach strengthened the research process and confidence in the outcomes of needs…
Descriptors: Action Research, Data Collection, Interviews, Longitudinal Studies
Wilkerson, F. T. – 1975
The purpose of the research project was to develop a comprehensive evaluation model that could be used to revise and improve adult education programs. The Jefferson County School System was selected for testing the model, and the problem was to determine how adequately the system provided quality adult education programs to meet the needs of the…
Descriptors: Adult Education, Adult Programs, Community Surveys, Data Collection
Dusewicz, Russell A.; And Others – 1987
This guide is designed to help educators plan and carry out evaluations of adult education programs. Following an introduction, Section 2 discusses how the evaluation process fits into the concept and normal cycle of program development. Section 3 describes the stages of the evaluation process, including needs assessment, program planning, process…
Descriptors: Adult Education, Data Collection, Evaluation Methods, Formative Evaluation
Anderson, James A. – 1977
Five data collection techniques and two sampling methods were examined in terms of costs, rates of return, quality of the data collected, and degree of representativeness in assessing needs and interests of public television viewers in rural areas. Data collection techniques were (1) mail only, (2) mail incentive, (3) telephone only, (4) mail and…
Descriptors: Community Surveys, Cost Effectiveness, Data Collection, Needs Assessment
Young, Peter R. – Library Administration & Management, 1989
Describes the activities of the federal government, state governments, and library associations in generating statistics on U.S. libraries, and discusses the problems that arise from a lack of coordination. Issues discussed include standardized definitions, scope and coverage, data collection and aggregation, data analysis and interpretation,…
Descriptors: Data Collection, Data Interpretation, Federal Government, Government Role
Robson, Colin; Evans, Peter; Deluca, Marcella – 2000
This report presents an analysis of the statistics concerning the status of education for students with special needs in member nations of the Organization for Economic Cooperation and Development. Special needs students are defined as those who have disabilities with clear biological causes, or who are experiencing learning difficulties, or who…
Descriptors: Comparative Analysis, Comparative Education, Data Analysis, Data Collection
Wisconsin Univ. - Stout, Menomonie. Center for Vocational, Technical and Adult Education. – 1979
A one-week VTAE (Vocational, Technical, and Adult Education) Researcher Workshop was designed to increase the research competencies of Wisconsin VTAE staff members working with research and evaluation projects through a hands-on approach. Based on a needs assessment conducted with the participants, the agenda included sessions on various aspects…
Descriptors: Budgeting, Data Collection, Data Processing, Educational Research
Parshall, Lucian – 1993
The first of two papers compares two models (the market based model and the prevalence model) for analyzing data from annual state surveys to determine future special education personnel needs and discusses critical issues in data collection. These data are required under the Individuals with Disabilities Education Act which asks states to project…
Descriptors: Compliance (Legal), Data Collection, Disabilities, Elementary Secondary Education
Kaynor, Robert K. – 1985
The value of microcomputer modeling tools and spreadsheets to help college institutional researchers analyze proposed capital projects is discussed, along with strengths and weaknesses of different software packages. Capital budgeting is the analysis that supports decisions about the allocation and commitment of funds to long-term capital…
Descriptors: Budgets, Campus Planning, Capital Outlay (for Fixed Assets), College Planning
Hammock, Perry T. – 1983
This project was conducted to refine and expand previous research indicating the need for an instrument counselors can use in working with area secondary schools and potential students to assess their progress in making career and training decisions. Instruments developed during this research process were pilot tested at two area schools and…
Descriptors: Articulation (Education), Career Planning, Data Analysis, Data Collection