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Stevenson, Harold W. – Educational Leadership, 1993
Excoriates Gerald Bracey's "broadsides" against the author's own article in same "Educational Leadership" issue for misinterpreting his conclusions and methodology. Stevenson's learning gap results did not oversimplify ability-effort relationship in U.S. and Asian students; results were similar for U.S. cities with both large…
Descriptors: Academic Achievement, Comparative Education, Data Interpretation, Elementary Secondary Education
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Scanlan, James P. – Public Interest, 1991
Demonstrates that conclusions drawn from statistics concerning racial disparities in income, infant mortality, sports participation, and other areas may be partly or wholly wrong, because disparities generally increase as conditions improve. Observes that flawed uses of statistics abound; points out some common errors in interpretation. (DM)
Descriptors: Blacks, College Athletics, Data Interpretation, Employment
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Egley, Lance C. – Journal of Marriage and the Family, 1991
Questioned Straus and Gelles' (1986) conclusion that child and wife abuse were substantially lower in 1985 than in 1975. Refined cohort analysis to apply to data, demonstrating that changes in age structures of adult and child population explained most of reported reduction. Much remaining change may have resulted when respondents' reactions to…
Descriptors: Battered Women, Child Abuse, Data Interpretation, Family Violence
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Andrews, Lester W.; Gutkin, Terry B. – Computers in Human Behavior, 1991
This study examined the impact on school personnel of a psychological report purported to have been authored by a computer-based test interpretation system versus a psychologist. Identical reports were rated in terms of perceived quality, credibility, and interpretation. No effect on subjects' appraisal of the reports based on authorship was…
Descriptors: Association (Psychology), Authors, Computer Software, Credibility
Stolovitch, Harold D. – Performance and Instruction, 1990
Explains a model that can be used for debriefing after a highly interactive training activity such as role playing or simulation games. Elements of the model include (1) general decompression; (2) factual information from the activity; (3) inferences; (4) transfer, i.e., from the activity to real world situations; (5) generalizations; and (6)…
Descriptors: Data Interpretation, Inferences, Interaction, Learning Strategies
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Terrell, Patricia S. – College Student Affairs Journal, 1991
Discusses use of data for determining institutional effectiveness; identifies availability of national programs for student outcomes data collection, need for better qualitative and quantitative data, and influence of data on decision making. Review problems related to reporting data and using them in decision-making process. Concludes with…
Descriptors: College Outcomes Assessment, College Students, Data Interpretation, Decision Making
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Ropers-Huilman, Becky – Journal for a Just and Caring Education, 1999
Through a layered analysis that reinterprets previous research experience with middle-schoolers, considers how being positioned researchers changes the interpretations or texts inscribed on their research interactions. Researchers create texts that unintentionally conceal the direction and nature of their "invasiveness." Conundrums abound in…
Descriptors: Critical Thinking, Data Analysis, Data Interpretation, Intermediate Grades
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Galal, Gehad M.; Cook, Diane J.; Holder, Lawrence B. – Journal of the American Society for Information Science, 1999
Discusses structural components of databases that require data-mining algorithms and describes the SUBDUE system that is designed to discover knowledge in structural databases. Analyses the ability of SUBDUE to scale to large databases and describes parallel and distributed implementations to investigate methods for improving the scalability of…
Descriptors: Algorithms, Data Interpretation, Databases, Discovery Processes
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Vause, Judy; Coates, David – Primary Science Review, 1999
Explores ways of improving the confidence and competence of children and teachers in data handling and interpretation. (Author/CCM))
Descriptors: Data Interpretation, Elementary Secondary Education, Interpretive Skills, Science Instruction
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Hayden, James E. – Journal of Biocommunication, 2000
Discusses the importance of images in the publishing and presentation of scientific research. Explains the use of photographs as scientific data in research. Lists some reasons for the manipulation of images, and clarifies the acceptable and unacceptable limits of manipulation and image manipulation policy. (Author/YDS)
Descriptors: Audiovisual Aids, Computers, Credibility, Data Conversion
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Rogers, Donald P.; White-Mills, Kim – Journal of Business Communication, 1998
Responds to a critique in this issue of earlier articles in this journal. Explains that the project was not designed to conceptualize the study of business communication; that as researchers they cannot refrain from drawing conclusions and limiting those conclusions to the data observed; and they do not consider all research not based on…
Descriptors: Business Communication, Communication Research, Data Interpretation, Higher Education
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Spokane, Arnold R. – Career Development Quarterly, 1998
Compares the results of seven articles written by career counselors to interpret interest inventories completed by a 29-year-old female high school teacher faced with several occupational opportunities. The article is organized by function across inventory. (MKA)
Descriptors: Career Counseling, Case Studies, Comparative Analysis, Data Interpretation
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Fitz-Gibbon, Carol Taylor; Vincent, Luke – Oxford Review of Education, 1997
Responds to an article that questioned the authors' previous attempts to define "subject difficulty" and compare subjects based on their level of difficulty. Argues that "subject difficulty" is a reasonable term and is important to the interpretation of examination data. Questions arguments that only qualitative judgments of…
Descriptors: Academic Achievement, Curriculum Evaluation, Data Interpretation, Educational Research
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Menges, Robert – New Directions for Teaching and Learning, 2000
Menges identifies four areas of educational research in which data is substantial but much less useful than it could be: faculty behaviors and intentions; technology-mediated instruction; effective evaluative decisions and context-specific research. He suggests some directions for future research. (JM)
Descriptors: Computer Uses in Education, Data Interpretation, Educational Research, Educational Technology
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Wolery, Mark; Dunlap, Glen – Journal of Early Intervention, 2001
This paper describes guidelines for reporting findings from studies using single subject methods, an approach from which early intervention has benefited substantially. Guidelines address: the foundations of the study, what was done to whom under what situations, what the data say, and what the findings mean. (Contains references.) (DB)
Descriptors: Data Collection, Data Interpretation, Disabilities, Early Intervention
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