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Wedman, Ingemar – School Research Newsletter, 1985
Described in this newsletter issue are research activities involving the development in Sweden of an indicator model to provide a holistic and comprehensive depiction of schools. Intended for use in continuous follow-up and evaluation activities, the model attempts to mirror the situation in schools by means of existing information expressed as…
Descriptors: Data Collection, Educational Research, Elementary Secondary Education, Followup Studies
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Scheirer, Mary Ann – New Directions for Evaluation, 1996
This eight chapters of this special issue introduce the use of a template to specify program components as a new tool for program evaluation. The template articulates the components needed for program delivery and provides a systematic method for assessing program implementation. (SLD)
Descriptors: Data Analysis, Data Collection, Evaluation Methods, Formative Evaluation
Levesque, Karen; And Others – Centerfocus, 1996
Although most school districts and schools are routinely involved in data collection, they do not typically use the data they collect in a systematic fashion to identify strengths and weaknesses and develop improvement strategies. One reason for the lack of data use is the perception that the data are being collected for someone else's purposes.…
Descriptors: Data Collection, Data Interpretation, Information Dissemination, Information Needs
Steinmetz, Andres – NCME Measurement in Education, 1976
The discrepancy evaluation model (DEM) specifies that evaluation consists of comparing performance with a standard, yielding discrepancy information. DEM is applied to programs in order to improve the program by making standards-performance-discrepancy cycles explicit and public. Action-oriented planning is involved in creating standards; a useful…
Descriptors: Data Collection, Differences, Evaluation Criteria, Evaluation Methods
Kraetsch, Gayla A. – 1979
Two quantitative enrollment projection techniques and the methods used by researchers at the Ohio Board of Regents (OBR) are discussed. Two quantitative approaches that are typically used for enrollment projections are curve-fitting techniques and causal models. Many state forecasters use curve-fitting techniques, a popular approach because only…
Descriptors: College Students, Data Collection, Demography, Enrollment Projections
Foster, Pablo; Howard, Ursula; Reisenberger, Anna – FE Matters, 1997
This report, which is an outgrowth of the Further Education Development Agency's (FEDA's) Learning Outcomes study, explores ways of identifying, recording, and valuing adult learners' goals and achievements in learning opportunities that are not designed to lead to qualifications. The following topics are discussed in the report's six chapters:…
Descriptors: Adult Education, Adult Learning, Attitude Change, Check Lists
Smith, Marshall S. – ASAP Notes, 1984
Educational indicators are statistical input/output measures providing information on the health of the educational system. This report for the consideration of the Council of Chief State School Officers characterizes the current state of educational indicators as in "shambles." It proposes a three phase framework for developing a sensitive and…
Descriptors: Data Collection, Educational Assessment, Educational Improvement, Educational Indicators
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MacDougall, Peter, Ed.; Friedlander, Jack, Ed. – New Directions for Community Colleges, 1990
Recent mandates from state and accrediting agencies are requiring community colleges to provide evidence of their success in such areas as basic skills and remediation, general education, major-field content, student development, transfer effectiveness, job training, job placement, and fiscal accountability. This volume, in addition to describing…
Descriptors: Accreditation (Institutions), Community Colleges, Consortia, Data Collection