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Van Maanen, John – Administrative Science Quarterly, 1979
Details the crucial analytic distinctions to be drawn when assessing the kind of data one must deal with in ethnographic studies. Includes the necessity of separating first- and second-order concepts, a separation based primarily on whether the point of view reported is that of the informant or the researcher. (Author/IRT)
Descriptors: Data Analysis, Data Collection, Ethnography, Organizations (Groups)
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Marco, Gary L.; And Others – Journal of Educational Measurement, 1976
Special emphasis is given to the kinds of control that can be exercised over initial status, including the use of proxy input data. A rationale for the classification scheme is developed, based on (1) three one-shot, one cross-sectional, and two longitudinal data types and (2) two types of referencing: criterion referencing and norm referencing.…
Descriptors: Classification, Data Collection, Evaluation Methods, Methods
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Stake, Robert E. – Journal of Aesthetic Education, 1976
Arts-In-Education programs are among those curricula currently being evaluated in a day when all expenditures in education are being challenged. There are different ways to evaluate programs and no one way is the right way. Focuses on the responsibility of the evaluator and on how evaluation can effectively perform a service. (Author/RK)
Descriptors: Art, Critical Thinking, Data Collection, Diagrams
Engineering Education, 1977
Presents in full the questionnaire sent to member institutions of the American Society for Engineering Education to collect data on engineering education and research for the school year 1975-76. (MLH)
Descriptors: Data Collection, Educational Research, Engineering, Engineering Education
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Royer, Paula Nassif; Gorth, William Phillip – Education, 1976
Describes a school mathematics curriculum, steps for its evaluation, an explanation of the mode of implementation of each step, and discusses the ways in which cooperation and systemization enhances the evaluation. (Author/RK)
Descriptors: Curriculum Evaluation, Data Analysis, Data Collection, Evaluation Criteria
Elghannam, Alaa – Dialog on Language Instruction, 1997
Discusses a workshop designed to explore and develop concepts and practices in the use of effective peer observation for professional development. Notes that seminar leaders established micro-goals, e.g., developing a personal and professional understanding of peer observation, examining affective and power issues, and learning objective…
Descriptors: Affective Behavior, Classroom Observation Techniques, Concept Formation, Data Collection
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Ingwersen, Peter; Christensen, Finn Hjortgaard – Journal of the American Society for Information Science, 1997
Discusses the retrieval dimensions of data collection activity online and their influence on the research evaluation outcome to reinforce the link between online retrieval and bibliometrics. Topics include publication counts; citation analyses; citation databases from the Institute for Scientific Information; and data set isolation. (Author/LRW)
Descriptors: Bibliometrics, Citation Analysis, Data Collection, Databases
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Hill, Clara E.; Thompson, Barbara J.; Williams, Elizabeth Nutt – Counseling Psychologist, 1997
Discusses the components of a new methodology--consensual qualitative research (CQR)--which uses words to describe phenomena and which recognizes the importance of context. Locates CQR within the qualitative research tradition and details ways to develop a focused topic area, choose a team, attend to group dynamics, and other important issues.…
Descriptors: Counseling Psychology, Counseling Theories, Data Collection, Guidelines
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Mitchell, Alice A.; Sergent, Marie T.; Sedlacek, William E. – NASPA Journal, 1997
Demonstrates how perceptual mapping techniques can be used to examine campus perceptions of African American and White students at a predominantly White institution. Reports on data collection methods and influencing factors, such as familiar locations. Provides results of a survey of 411 students, detailing initial perceptions and the validity of…
Descriptors: Black Students, College Environment, College Students, Data Collection
Conyer, Merle – Australian Journal of Educational Technology, 1995
Discusses advantages and limitations of six usability evaluation methods (heuristic evaluation, pluralistic walk-throughs, formal usability inspections, empirical methods, cognitive walk-throughs, and formal design analysis) and six data collection techniques (verbal reports, concurrent think-aloud method, questionnaire, video analysis,…
Descriptors: Computer Software, Data Collection, Evaluation Methods, Heuristics
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Brahier, Anne F.; Brahier, Daniel J. – Teaching Children Mathematics, 1996
Students in grades three to four can collect, analyze, and represent data in order to determine which piece of playground equipment appears most popular. Students in grades five to six can investigate the geometry of playground structures using measurement and scale models. Lesson plans and reproducible worksheets are included. (CMS)
Descriptors: Data Analysis, Data Collection, Elementary Education, Learning Activities
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Veronesi, Peter – Science Activities, 1996
Presents a long-term investigation designed to provide practice for students in thinking in a scientific manner about a real problem--the impact that waste products may have on soil. Focuses on student questions that have some connection to the local community. (JRH)
Descriptors: Data Collection, Elementary Secondary Education, Environmental Education, Investigations
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Berne, Robert; And Others – Journal of Education Finance, 1997
Discusses implications for school finance data collection and analysis of shifting to schools as key management and policy units. Discusses questions that school-level data can answer concerning resource utilization efficiency, effectiveness, intent, and equity. Outlines conceptual issues (school definition and identification) and database…
Descriptors: Cost Effectiveness, Data Collection, Definitions, Educational Equity (Finance)
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Lay, Colette M. – Structural Equation Modeling, 1996
BMDP/Diamond for Windows was developed as a stand-alone software package for initial data exploration and screening. The program uses advanced visualization techniques to allow one to examine the data from different perspectives, or to manipulate graphics to gain greater insight. Data can be checked quickly for a variety of characteristics. (SLD)
Descriptors: Computer Graphics, Computer Software, Computer Software Evaluation, Data Analysis
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Graham, John W.; And Others – Multivariate Behavioral Research, 1996
The utility of the three-form design coupled with maximum likelihood methods for estimation of missing values was evaluated. Simulation studies demonstrate that maximum likelihood estimation and multiple imputation methods produce the most efficient and least biased estimates of variances and covariances for normally distributed and slightly…
Descriptors: Data Collection, Estimation (Mathematics), Maximum Likelihood Statistics, Research Design
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