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Peer reviewedChelte, Anthony F.; And Others – Monthly Labor Review, 1982
This article reviews data from the 1979 Staines-Quinn study of job satisfaction levels and contrasts them with data from similar surveys of the same era. The Staines-Quinn study's conclusions differ from conclusions of other studies and the authors examine the possible reasons for this. (CT)
Descriptors: Data Analysis, Data Collection, Job Satisfaction, Occupational Surveys
Thiagarajan, Sivasailam – Educational Technology, 1979
Discusses three games which have been developed to collect evaluative feedback on instruction. Use of this process makes it possible to collect data in an enjoyable manner. (RAO)
Descriptors: Data Collection, Evaluation Methods, Games, Guides
Dugger, William E., Jr.; And Others – Man/Society/Technology, 1980
The Standards for Industrial Arts Education Programs Project has three objectives. The first phase, data collection, has been completed. The development and validation of the standards is in progress, and the dissemination of the standards and user handbooks is projected for 1981. (SK)
Descriptors: Data Collection, Industrial Arts, National Standards, Program Descriptions
Peer reviewedHitchcock, Graham – Urban Review, 1979
The ways in which the social scientist approaches field work and ethnographic research have consequences for the final results of the investigation. (ST)
Descriptors: Data Collection, Ethnography, Field Studies, Research Methodology
Peer reviewedLong, James S.; And Others – Journal of Extension, 1980
Discusses the importance of interaction among participants in conferences. Data on participant interaction must be used to evaluate conferences. Describes one graphic technique for collecting and analyzing this data. (JOW)
Descriptors: Conferences, Data Analysis, Data Collection, Extension Education
Peer reviewedLuftig, Jeffrey T. – Journal of Studies in Technical Careers, 1981
Student follow-up statistics must meet exacting federal standards; yet state educators and officials also wish to derive benefits from them. How should the model follow-up program be structured? Here is presented New Hampshire's solutions to this and other questions. (Author)
Descriptors: Data Collection, Evaluation Methods, Followup Studies, Program Evaluation
Peer reviewedBrown, Maryann Kevin – Special Libraries, 1980
Argues for common understandings of the language and definitions used for recording information about libraries, and presents a method by which impressions of library behavior can be organized. (FM)
Descriptors: Bibliographies, Data Collection, Definitions, Language Standardization
Peer reviewedJick, Todd D. – Administrative Science Quarterly, 1979
Describes the use of triangulation in a study by the author, and argues that triangulation heightens qualitative methods to their deserved prominence while demonstrating that quantitative methods can and should be used in a complementary fashion. (Author/IRT)
Descriptors: Data Analysis, Data Collection, Organizations (Groups), Research Design
Peer reviewedManning, Peter K. – Administrative Science Quarterly, 1979
Argues that most social science does not take into account the way in which the master tropes (metaphor, synecdoche, metonymy, and irony) shape the writing as well as the gathering of qualitative data. (Author/IRT)
Descriptors: Data Collection, Language, Language Usage, Organizations (Groups)
Peer reviewedReed, Charles – Studies in Educational Evaluation, 1975
Ecuador is one of the first developing countries to attempt a full-scale sector analysis of elementary education. It is hoped that by focusing this article on the first phase of the study (design and data collection), a valuable contribution might be made to efforts in other countries. (RC)
Descriptors: Data Collection, Developing Nations, Elementary Education, Evaluation Methods
Peer reviewedNorman, Donald A.; Bobrow, Daniel G. – Psychological Review, 1976
When a person performs several activities at the same time, there is often competition for the processing resources required to do those activities. Recently, the authors developed a method for analyzing the tradeoffs that can occur when two or more tasks compete for the same limited resource. (Editor/RK)
Descriptors: Data Collection, Learning Theories, Psychological Studies, Task Analysis
Hoepfl, Marie C. – Journal of Technology Education, 1997
Compares qualitative and quantitative research in terms of features, researcher role, design, data collection strategies, data analysis, and judgment. Offers advice about selecting a method. (SK)
Descriptors: Data Collection, Qualitative Research, Research Design, Research Methodology
Peer reviewedWang, Tianyou; Kolen, Michael J. – Applied Psychological Measurement, 1996
A quadratic curve test equating method for equating different test forms under a random-groups data collection design is proposed that equates the first three central moments of the test forms. When applied to real test data, the method performs as well as other equating methods. Procedures from implementing the test are described. (SLD)
Descriptors: Data Collection, Equated Scores, Standardized Tests, Test Construction
Peer reviewedArms, Caroline R. – Library Hi Tech, 2003
How should scarce resources available to produce metadata be deployed to support discovery in different contexts? How might metadata harvesting be exploited to support new interfaces and enhanced navigation among related resources in digital libraries? This article starts a conversation between metadata providers and service builders by describing…
Descriptors: Archives, Data Collection, Electronic Libraries, Information Services
Peer reviewedKuhne, Gary W.; Quigley, B. Allan – New Directions for Adult and Continuing Education, 1997
Action research involves responding to practice problems through problem posing and solving. Its core processes are planning, acting, reflecting, and observing. Data collection methods include anecdotes, field notes, document analysis, logs, journals, portfolios, questionnaires, interviews, audio/video recordings, and tests of learner performance.…
Descriptors: Action Research, Adult Education, Data Collection, Problem Solving


