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Coates, Hamish – Quality in Higher Education, 2005
As the principles and practices of quality assurance are further implanted in higher education, methodological questions about how to understand and manage quality become increasingly important. This paper argues that quality assurance determinations need to take account of how and to what extent students engage with activities that are likely to…
Descriptors: Foreign Countries, Higher Education, Educational Quality, Quality Control
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Lewis, Jenny; Caldwell, Brian J. – The Educational Forum, 2005
Many nations' governments are requiring schools to bring about significant, systematic, and sustained change to improve student outcomes in all settings, and have imposed mandates to ensure that schools are providing quality education and running efficiently and effectively. Consequently, national and state testing programs, standards-based…
Descriptors: Data Collection, Educational Quality, Data Analysis, Foreign Countries
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Weigel, Daniel J.; Martin, Sally S.; Bennett, Kymberley K. – Reading Research Quarterly, 2005
Based on ecological theory, this study examined how four components of children's home and child-care literacy environments, and the connections between these environments, were associated with preschool-age children's literacy and language development. Interview and standardized assessment data were collected from 85 preschool-age children, their…
Descriptors: Data Analysis, Emergent Literacy, Language Acquisition, Preschool Children
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Dunbar, Christopher, Jr.; Villarruel, Francisco A. – Equity and Excellence in Education, 2004
The implementation of zero tolerance policies raises important questions. In this article we explore how zero tolerance policies are interpreted, implemented, and enforced differently in urban, rural, and suburban districts, and how this results in unequal numbers of expulsions and suspensions. Using a policy analysis framework, we explored how…
Descriptors: Urban Schools, Policy Analysis, Zero Tolerance Policy, Data Analysis
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Teaching of Psychology, 2004
We developed a novel variation on classroom data collection by having students conduct a national research project. Students at 20 different colleges and universities measured "school spirit" at their institutions according to several operational criteria (school apparel wearing, car stickers, alumni donation rate, ratings by a major sports…
Descriptors: School Culture, Student Attitudes, Higher Education, College Students
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Ma, Xin; Ma, Lingling – Evaluation Review, 2004
In this study, the authors introduced a multivariate multilevel model to estimate the consistency among students and schools in the rates of growth between mathematics and science achievement during the entire middle and high school years with data from the Longitudinal Study of American Youth (LSAY). There was no evident consistency in the rates…
Descriptors: Student Characteristics, Institutional Characteristics, Mathematics Achievement, Science Achievement
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Lund, Robin J.; Heefner, Dan – Journal of Physical Education, Recreation & Dance (JOPERD), 2005
Former baseball star Jim Lefebvre (1983) claimed that hitting a baseball may be the most talked about but least understood skill in all of sports. Historically, hitting instruction has been based on intuitive thinking by "hitting gurus," rather than on scientific fact, which has contributed to this lack of understanding (DeRenne, Stellar, &…
Descriptors: Drills (Practice), Scientific Research, Motion, Teaching Methods
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Zvoch, Keith; Stevens, Joseph J. – Education Policy Analysis Archives, 2003
Examined the performances of schools in a large urban school district using achievement data from a longitudinally matched cohort of middle school students (3,299 students in 24 schools). Results suggest that assessments of school performance depend on choices of ways to model and analyze data. (SLD)
Descriptors: Cohort Analysis, Data Analysis, Language Arts, Mathematics Achievement
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Barfield, J. P.; Rowe, David A.; Michael, Timothy J. – Measurement in Physical Education and Exercise Science, 2004
A pedometer is a practical, inexpensive tool used to measure physical activity. Bassett et al. (1996) found that interinstrument consistency of the Yamax Digi-Walker was higher than four other pedometers when measuring distance walked in adults. The purpose of this study was to investigate the interinstrument consistency of the Yamax pedometer in…
Descriptors: Physical Education, Physical Activities, Correlation, Grade 3
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Tutty, Chris; Hocking, Clare – Kairaranga, 2004
The purpose of this study was to seek understanding of the experience of those who support students with high needs in regular classes. Seven teacher aides were interviewed, with the interview and data analysis guided by Heideggerian phenomenology. The findings reveal that teacher aides are unprepared for the responsibility or the relationship…
Descriptors: Teacher Aides, Data Analysis, Phenomenology, Special Needs Students
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Frade, Cristina; Borges, Oto – International Journal of Science and Mathematics Education, 2006
This paper reports on study that investigated the tacit-explicit dimension of the learning of mathematics. The study was carried out in a secondary school and consisted of an episode analysis related to a class discussion about the difference between plane figures and spatial figures. The data analysis was based on integration between some aspects…
Descriptors: Mathematics Education, Discussion, Data Analysis, Mathematics Instruction
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Sunderland, Jane – Language and Education, 2004
Doctoral students' research presentations were investigated for the way in which the students articulated their rationales for data selection for their research projects. Rather than look for genre-related characteristics, though still working within the area of academic discourse (spoken), the objective of this study was to identify a set of…
Descriptors: Nursing Students, Applied Linguistics, Academic Discourse, Doctoral Dissertations
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Yuan, Ke-Hai; Bentler, Peter M.; Chan, Wai – Psychometrika, 2004
Data in social and behavioral sciences typically possess heavy tails. Structural equation modeling is commonly used in analyzing interrelations among variables of such data. Classical methods for structural equation modeling fit a proposed model to the sample covariance matrix, which can lead to very inefficient parameter estimates. By fitting a…
Descriptors: Structural Equation Models, Statistical Distributions, Evaluation Methods, Data Analysis
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Erosheva, Elena A. – Psychometrika, 2005
This paper focuses on model interpretation issues and employs a geometric approach to compare the potential value of using the Grade of Membership (GoM) model in representing population heterogeneity. We consider population heterogeneity manifolds generated by letting subject specific parameters vary over their natural range, while keeping other…
Descriptors: Mathematical Formulas, Research Methodology, Models, Comparative Analysis
Edwards, Virginia, Ed. – Education Week, 2006
This special issue presents the ninth edition of "Education Week's" annual report on education technology, "Technology Counts." The annual report found that the nation has made dramatic progress in developing computerized data systems that can reliably guide education decision-making, but still has plenty of work to do before those systems can…
Descriptors: Information Technology, Academic Achievement, Educational Technology, School Districts
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