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Brandon Sepulvado; Jennifer Hamilton – Society for Research on Educational Effectiveness, 2021
Background: Traditional survey efforts to gather outcome data at scale have significant limitations, including cost, time, and respondent burden. This pilot study explored new and innovative large-scale methods of collecting and validating data from publicly available sources. Taking advantage of emerging data science techniques, we leverage…
Descriptors: Automation, Data Collection, Data Analysis, Validity

Deiulio, Anthony M. – Journal of Research and Development in Education, 1973
The purpose of this study is to suggest another source of information to be used for evaluating our teacher education programs. (Author)
Descriptors: Classification, Curriculum Design, Data Collection, Information Sources
Christal, Melodie E.; Jones, Dennis P. – 1985
A set of recommendations is provided regarding data collection and reporting to support and facilitate the accreditation process in postsecondary education. The following chapters are provided: (1) introduction (types of accreditation, evaluation of standards, potential users, and the development process); (2) conceptual schema (conceptual…
Descriptors: Accreditation (Institutions), Classification, College Programs, Data Collection
Choy, Sarojni – Electronic Journal of e-Learning, 2007
In 2004 the Australian Flexible Learning Framework developed a suite of quantitative and qualitative indicators on the uptake, use and impact of e-learning in the Vocational Education and Training (VET) sector. These indicators were used to design items for a survey to gather quantitative data for benchmarking. A series of four surveys gathered…
Descriptors: Foreign Countries, Educational Benefits, Electronic Learning, Benchmarking
Carrier, Bruce; Holmes, Monica – 1972
Thirty-three Parent-Child Centers (PCCs) are grouped into five clusters according to thematic orientation of content or intent for parents' and children's programs in order to provide models which may be viewed as strata in selecting Centers as sampling points for Phase II of the national PCC evaluation--an in-depth study of project impact on…
Descriptors: Classification, Cluster Analysis, Data Analysis, Data Collection
McCaslin, Rosemary; Gibb, Mary – 1980
Relevant conceptual frameworks must guide data collection and analysis if data are to be useful to service program planners and administrators. Such frameworks are increasingly important in the systematic assessment of the total array of services in a planning region. This paper describes a two-dimensional classification matrix developed in…
Descriptors: Administrator Guides, Classification, Data Analysis, Data Collection
Korotkin, Arthur L. – Performance Improvement Quarterly, 1992
Describes a process for collection of data for training evaluation to ensure that the appropriate knowledge, skills, abilities, and other characteristics are trained and that skill levels obtained meet minimum job requirements. Examples of a job analysis task rating form, task importance scale, ability scale, and abilities definitions are…
Descriptors: Classification, Data Collection, Evaluation Criteria, Industrial Training
Coller, Alan R. – 1970
A taxonomy of programmatic tasks in an educational evaluation and facilitation coordination system which encompasses tasks appropriate for evaluators, members of an evaluation unit, and members of facilitation and coordination units is proposed. In this comprehensive approach to the evaluation process, the taxonomy classifies and specifies tasks…
Descriptors: Classification, Cooperative Programs, Coordination, Data Collection
Mediax Associates, Inc., Westport, CT. – 1980
This technical report discusses the development of a framework for identifying a battery of measures to be used in evaluating Head Start program effects on children 3 to 7 years of age. The report consists of an overview and five chapters, and provides eight appendices (in two additional volumes). Among the topics addressed are background…
Descriptors: Classification, Data Collection, Developmental Tasks, Individual Characteristics
California Community Colleges, Sacramento. Office of the Chancellor. – 1978
This manual contains information on two evaluation systems for occupational programs at California community colleges. For the first, COPES (Community College Occupational Programs Evaluation System), which is a self-evaluation process, a guide is provided as well as a set of seven evaluation forms for the college president, faculty, counselors…
Descriptors: Classification, College Curriculum, Community Colleges, Data Collection
Special Education Programs (ED/OSERS), Washington, DC. – 1991
This conference was held to enhance communication between the Office of Special Education Programs (OSEP) and State education agency staffs, and to furnish information and technical assistance to State agencies in the areas of data management and improvement of data reliability, validity, and comparability. Abstracts of presentations include the…
Descriptors: Classification, Data Analysis, Data Collection, Disabilities