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Wang, Zhanjun; Qiao, Weifeng; Li, Jiangbo – Chinese Education & Society, 2016
Higher education monitoring evaluation is a process that uses modern information technology to continually collect and deeply analyze relevant data, visually present the state of higher education, and provide an objective basis for value judgments and scientific decision making by diverse bodies Higher education monitoring evaluation is…
Descriptors: Higher Education, Progress Monitoring, School Statistics, Academic Achievement
O'Sullivan, Rita G. – Evaluation and Program Planning, 2012
Collaborative Evaluation systematically invites and engages stakeholders in program evaluation planning and implementation. Unlike "distanced" evaluation approaches, which reject stakeholder participation as evaluation team members, Collaborative Evaluation assumes that active, on-going engagement between evaluators and program staff,…
Descriptors: Evaluation Needs, Evaluators, Program Evaluation, Evaluation Methods
The Program Evaluation Standards. How To Assess Evaluations of Educational Programs. Second Edition.
1994
This new edition is the result of an extensive review of the standards as defined in 1981. Taken as a set, the 30 current standards provide a working philosophy for evaluation. They define the Joint Committee on Standards for Education Evaluation's conception of the principles that should guide and govern program evaluation efforts, and they offer…
Descriptors: Administration, Data Analysis, Data Collection, Evaluation Methods
Hamilton, Jack A.; Mitchell, Anita M. – Career Education Quarterly, 1979
Describes a process for evaluating career education activities. Discusses the selection of the evaluation sample, selection and development of instruments, data reduction and analysis, comparison standards, and preparation of an evaluation handbook. (JOW)
Descriptors: Career Education, Data Analysis, Data Collection, Evaluation Methods
Smith, Martin E. – Performance and Instruction, 1980
Reviews factors that determine sample size, recommended sample sizes, recommended procedures for determining the appropriate sample size, and sample sizes reported in published and unpublished evaluations. (Author)
Descriptors: Bibliographies, Data Analysis, Data Collection, Educational Research
Chiapetta, Michael – Literacy Discussion, 1974
The Standardized Data Reporting System, developed by Indiana University under contract to UNESCO for the evaluation of functional literacy programs, is described and reproduced in part. The system has never been used, but still stands ready; the author hopes that publicizing its existence will create a demand for its utilization. (AJ)
Descriptors: Adult Literacy, Data Analysis, Data Collection, Evaluation Criteria
Kupersmith, Gerrie – 1975
The pamphlet describes an evaluation model for crime reduction projects developed by National Institute of Law Enforcement and Criminal Justice sponsored research. It is meant to assist justice agency and project managers in determining completeness of evaluation planning by providing a framework against which to measure their evaluation…
Descriptors: Crime, Data Analysis, Data Collection, Evaluation Criteria
Heitman, Helen – Journal of Physical Education and Recreation, 1978
The author discusses the development of goals and performance standards for teacher evaluation of curriculum design, skill proficiency, knowledge levels, student interest, and teacher self-performance. (MJB)
Descriptors: Achievement Rating, Curriculum Evaluation, Data Analysis, Data Collection
St. John, Mark – 1985
The choice of methods is part of the overall evaluation design process. The process consists of the following steps: (1) analyzing the problem context; (2) asking a few general questions; (3) selecting the methods (strategies) to use; and (4) selecting the specific techniques (tactics) to use. To operate successfully the evaluator needs to know…
Descriptors: Data Analysis, Data Collection, Evaluation Criteria, Evaluation Methods
Banner, James M., Jr. – 1985
When gathering and presenting educational statistics, five principles should be considered. (1) The data must be accurate, valid, and complete. Limitations, weaknesses, margins of error, and levels of confidence should be clearly stated. (2) The data must include comparable information, sought in comparable ways, in comparable forms, from…
Descriptors: Comparative Analysis, Data Analysis, Data Collection, Educational Research
Lewis, L. L.; And Others – 1978
Divided into five chapters, this user's manual is intended to assist local educators in the assessment of their career education programs. The first chapter discusses the purposes of evaluation. Chapter 2 provides a quick overview of the basic evaluation steps, while the remaining chapters provide the necessary details to implement these eleven…
Descriptors: Accountability, Administrator Guides, Career Education, Data Analysis
Bocian, Kathleen; Newman, Sally – Journal of Children in Contemporary Society, 1989
Reasons for evaluating intergenerational programs are presented, and unique features and basic components of these evaluations are described. Strategies and methodologies used in the program evaluation process are systematically outlined. Careful and serious evaluation can provide insights into problem areas, successful program elements,…
Descriptors: Agency Cooperation, Children, Client Characteristics (Human Services), Data Analysis
Raupp, Magdala; Kolb, Frances Arick, Ed. – 1990
This handbook is designed to help educators understand program evaluation processes so that they will be able to carry out evaluation tasks and talk knowledgeably to evaluators about what they want to find out from a program evaluation. The book reviews the purposes and uses of evaluation to help the reader identify the scope and direction of the…
Descriptors: Advocacy, Cost Estimates, Data Analysis, Data Collection
Koretz, Daniel – 1992
Indicators of mathematics and science education progress are important to policymakers and the public in order to evaluate the quality of education. Recent reports have evaluated existing indicators and suggested core aspects of mathematics and science education that an indicator system should evaluate. This note discusses two fundamental aspects…
Descriptors: Construct Validity, Data Analysis, Data Collection, Educational Indicators
Erwin, T. Dary – 1991
Designed specifically for higher education administrators, faculty, and student affairs professionals, this book provides a comprehensive overview of the principles, purposes, practices and uses of assessment, with particular emphasis on student learning and development. Nine chapters present and discuss a series of assessment steps: Chapter 1…
Descriptors: College Outcomes Assessment, Data Analysis, Data Collection, Educational Assessment
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