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Cunningham, Peter – History of Education, 2004
This issue introduces a new feature to appear regularly in "History of Education". A compelling aspect of education history and one that is drawing new writers and readers in the field is the increasing diversity of sources on which education historians draw. New forms of admissible evidence challenge us to adopt different approaches to…
Descriptors: Historians, Educational History, Data Interpretation, Information Sources
Tuerlinckx, Francis; De Boeck, Paul – Psychometrika, 2005
In this paper we propose two interpretations for the discrimination parameter in the two-parameter logistic model (2PLM). The interpretations are based on the relation between the 2PLM and two stochastic models. In the first interpretation, the 2PLM is linked to a diffusion model so that the probability of absorption equals the 2PLM. The…
Descriptors: Item Response Theory, Models, Reaction Time, Item Analysis
Bracey, Gerald W. – Education Digest: Essential Readings Condensed for Quick Review, 2006
It is curious that so many people are accepting of statistics despite Disraeli's famous aphorism concerning "three kinds of lies." This acceptance certainly seems to hold for education statistics, especially when they imply something negative about American public schools. Sometimes people accept statistics because they are not in a position to…
Descriptors: Data Interpretation, Statistics, Correlation, Rhetoric
Olson, Lynn – Education Week, 2004
This article discusses the increasing number of schools that met all of their 2004 annual achievement targets under U.S. federal law. Over half the states released at least preliminary lists of the number of schools that had made adequate yearly progress under the No Child Left Behind Act, based on 2003-04 test data. In general, the percentage of…
Descriptors: National Standards, Educational Improvement, Federal Legislation, Benchmarking
Levine, Mel – Educational Leadership, 2007
The author describes four capacities--interpretation, instrumentation, interaction, and inner direction--that are as important as traditional academic subjects in preparing young adults for college and career success. He suggests how high schools should address each of these capacities. For example, to develop students' capacity for inner…
Descriptors: Student Development, Cognitive Development, Behavioral Objectives, Creative Development
Parette, Howard P.; Peterson-Karlan, George R.; Wojcik, Brian W.; Bardi, Nora – TEACHING Exceptional Children, 2007
The role of curriculum-based data in educational decision making, particularly with regard to the assistive technology (AT) consideration process, has become increasingly important. The No Child Left Behind Act of 2001 (NCLB) and other demands for school accountability require teachers to be more thoughtful about all decisions regarding students…
Descriptors: Federal Legislation, Disabilities, Educational Technology, Assistive Technology
Kitao, S. Kathleen – 1991
Research results should not be taken at face value; some research is not well designed, and readers must be able to assess whether the research carried out actually supports the results or may be explained otherwise. Research reports are usually divided into introduction or literature review, methods, results, and discussion and conclusions. Basic…
Descriptors: Data Interpretation, Educational Research, Foreign Countries, Language Research
Scherr, Rachel E.; Wittmann, Michael C. – 2003
This study's interests dictate which statements researchers attend to during interviews and which ones researchers consider to constitute data during later analysis. The paper shows that hearing all of what students are saying requires careful effort. Explicit consideration of possible research agendas is suggested to increase opportunities for…
Descriptors: Agenda Setting, Data Interpretation, Educational Research, Elementary Secondary Education
Marsh, Herbert W.; Dowson, Martin; Pietsch, James; Walker, Richard – Journal of Educational Psychology, 2004
Multicollinearity is a well-known general problem, but it also seriously threatens valid interpretations in structural equation models. Illustrating this problem, J. Pietsch, R. Walker, and E. Chapman (2003) found paths leading to achievement were apparently much larger for self-efficacy (.55) than self-concept (-.05), suggesting--erroneously, as…
Descriptors: Self Efficacy, Structural Equation Models, Academic Achievement, Self Concept
Luan, Jing; Zhao, Chun-Mei – New Directions for Institutional Research, 2006
As a tour de force, data mining is likely to gain wider use in the next few years. To facilitate this transition, we make several recommendations addressed to both institutional research professionals and the Association of Institutional Research.
Descriptors: Institutional Research, Enrollment Management, Educational Research, Data Analysis
Young Terrence E., Jr. – Library Media Connection, 2005
Data that is meaningful and purposeful is collected to assess the state of our library media programs, services and policies. The way in which one can develop the skills required to collect, analyze, interpret, present, and use data is presented.
Descriptors: Media Specialists, School Libraries, Data Collection, Data Analysis
Feldt, Leonard S.; Charter, Richard A. – Educational and Psychological Measurement, 2006
Seven approaches to averaging reliability coefficients are presented. Each approach starts with a unique definition of the concept of "average," and no approach is more correct than the others. Six of the approaches are applicable to internal consistency coefficients. The seventh approach is specific to alternate-forms coefficients. Although the…
Descriptors: Reliability, Monte Carlo Methods, Research Methodology, Alternative Assessment
Lachat, Mary Ann; Williams, Martha; Smith, Stephen C. – Principal Leadership, 2006
Schools today are more data rich than ever, requiring staff members to develop their data literacy--that is, their knowledge of how to use assessment data with other types of data to identify areas of effectiveness and to target instructional improvement efforts. Administrators and teachers are expected to use combinations of data (diagnostic and…
Descriptors: Program Effectiveness, Data Analysis, Instructional Improvement, Standardized Tests
Boudett, Kathryn Parker; City, Elizabeth A.; Murnane, Richard J. – Principal Leadership, 2006
Organizing the work of instructional improvement around a process that has specific, manageable steps helps educators build confidence and skill in using data. A process that includes eight distinct steps can take school leaders to use their assessment data effectively, and organized these steps into three phases: Prepare, Inquire, and Act. The…
Descriptors: Data Analysis, Instructional Improvement, Data Interpretation, Sequential Approach
Bray, Barbara – Technology & Learning, 2005
Teaching practice can improve if teachers are able to look at themselves and student data in an objective manner. In most education training programs, teachers are not taught to use data to design curriculum and analyze their instructional practices. They need training in both data management and analysis as well as in facilitating discussions…
Descriptors: Teaching Methods, Curriculum Development, Faculty Development, Data Analysis

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