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Peer reviewedCarpenter, Geoffrey C.; Duvall, David – American Biology Teacher, 1983
Use of motion pictures and videotape recordings to analyze animal behavior is described. Indicates that accuracy/amount of data available is greatly increased and that simultaneous behaviors of different animals can be studied or individual behavior patterns increased/decreased, providing observers with temporal perceptions similar to the animals…
Descriptors: Animal Behavior, Animals, Biology, Data Collection
Peer reviewedCarifio, James; Biron, Ronald – Journal of Alcohol and Drug Education, 1982
Describes a simple, confidentiality-preserving, data-collection technique the Context-Determined, Rule-Generated, Pseudonym (CDRGP) Technique, capable of generating correlational data across multiple time-points. Experiments showed that students would respond to alcohol consumption questions using the technique and that no significant response…
Descriptors: Alcoholic Beverages, Behavior Patterns, Confidentiality, Correlation
Peer reviewedHall, Gene E.; Loucks, Susan F. – Journal of Research and Development in Education, 1981
One of the keys to successfully identifying innovation configurations is to develop a clear understanding and description of innovation components. The first step requires the identification of operational components. Secondly, it is important to observe the innovation in use and to interview users. The final steps involve constructing a checklist…
Descriptors: Adoption (Ideas), Curriculum Development, Data Collection, Decision Making
Peer reviewedBess, James L. – Journal of Higher Education, 1979
Improving the quality of classroom, academic, and management decisions through more intelligent and systematic use of student data is addressed. Kinds of student-data users are classified, variables of student attitudes and behavior relevant to each user are identified, and relevant published instruments are listed. (Author/JMD)
Descriptors: College Administration, College Students, Data Collection, Decision Making
Peer reviewedKlapstein, Earl K.; Steed, S. Paul – Community College Review, 1979
Describes the educational master planning process used in the Los Rios Community College District (California) to develop policy and administrative proposals. Illustrates problems in collecting and presenting data and techniques for constructing meaningful reports that are jargon-free, easily updated, and use clear, uncluttered graphs. (JG)
Descriptors: College Administration, College Planning, Community Colleges, Data Collection
Peer reviewedCross, Christopher T. – Educational Evaluation and Policy Analysis, 1979
Review of congressional hearings leading to the enactment of the Education Amendments of 1974 (Public Law 93-380), the initial response of the United States Office of Education, and the study conducted by the National Institute of Education as mandated in Section 821 of PL 93-380. (MH)
Descriptors: Accountability, Compensatory Education, Data Collection, Educational Objectives
Peer reviewedTrumper, Ricardo; Gelbman, Moshe – Physics Education, 1997
Presents examples of experiments designed for high school students with the help of a microcomputer-based laboratory called Explorer. Argues that these tools enable students to investigate many principles of physics that were not feasible in the past. (DDR)
Descriptors: Calculus, Computer Interfaces, Computer Uses in Education, Data Collection
Johnston, Ann – Learning & Leading with Technology, 1998
Presents a framework for teaching elementary school students to use the Internet in a one-computer classroom. Levels of activities include a class lesson with a functional Web site; class surfing, e-mail, and search engines; group researching; collecting data; and independent research. (LRW)
Descriptors: Class Activities, Computer Assisted Instruction, Computer Uses in Education, Data Collection
Enderson, Mary C. – Learning & Leading with Technology, 1997
Presents a small group activity that helps elementary students explore volume as part of the math curriculum. Collecting data through hands-on experimentation; analyzing the data; and using graphs and graphing software to further understanding are discussed. (LRW)
Descriptors: Computer Assisted Instruction, Courseware, Data Analysis, Data Collection
Peer reviewedHyland, Peter; Wright, Lynne – Australian Academic & Research Libraries, 1996
Collecting statistical data about database usage by library patrons aids in the management of CD-ROM and database offerings, collection development, and evaluation of training programs. Two approaches to data collection are presented which should be used together: an automated or nonintrusive method which monitors search sessions while the…
Descriptors: Academic Libraries, Data Collection, Databases, Evaluation Methods
Peer reviewedNeide, Joan – Journal of Physical Education, Recreation and Dance, 1996
By keeping accurate records, student teacher supervisors can present concrete evidence about physical education student teachers' classroom performance. The article describes various ways to collect objective data, including running records, at-task records, verbal flow records, class traffic records, interaction analysis records, and global scan…
Descriptors: Cooperating Teachers, Data Collection, Elementary Secondary Education, Feedback
Peer reviewedBraverman, Marc T., Ed.; Slater, Jana Kay, Ed. – New Directions for Evaluation, 1996
The seven articles of this special issue focus on theory and research related to survey methods and whether evaluators need information that is absent from the larger survey literature. These articles reflect the view that the considerations relating to good survey research apply also to using surveys in evaluation. (SLD)
Descriptors: Data Collection, Evaluation Methods, Evaluators, Needs Assessment
Bartek, Mary M. – Understanding Our Gifted, 2003
Using a sci-fi matchmaking scenario to illustrate the fallibility of technology, this article discusses the practice of reducing a student to a series of test scores for gifted identification. The limits of testing are addressed, and student performance and behavior are urged as additional categories for identifying aptitude and achievement.…
Descriptors: Ability Identification, Academic Achievement, Classroom Observation Techniques, Data Collection
Peer reviewedDurkin, Marilyn B. – Mathematics Teacher, 2000
Offers suggestions for real-world projects in the statistics classroom for business students. (KHR)
Descriptors: Business Education, Data Analysis, Data Collection, Higher Education
Peer reviewedBanks, Debra L. – Community College Review, 1990
Proposes a definition of transfer rate based on a longitudinal cohort analysis conducted by the Center for the Study of Community Colleges. Explains the methods by which data were collected and analyzed. (DMM)
Descriptors: College Outcomes Assessment, College Transfer Students, Community Colleges, Data Collection


