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Cid, Xabier; Cid, Ramon – Physics Education, 2009
In 2008, the greatest experiment in history began. When in full operation, the Large Hadron Collider (LHC) at CERN will generate the greatest amount of information that has ever been produced in an experiment before. It will also reveal some of the most fundamental secrets of nature. Despite the enormous amount of information available on this…
Descriptors: Physics, Energy, Science Instruction, Scientific Research
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Long, Jeffrey D.; Loeber, Rolf; Farrington, David P. – Multivariate Behavioral Research, 2009
Two models for the analysis of longitudinal binary data are discussed: the marginal model and the random intercepts model. In contrast to the linear mixed model (LMM), the two models for binary data are not subsumed under a single hierarchical model. The marginal model provides group-level information whereas the random intercepts model provides…
Descriptors: Computation, Inferences, Crime, Models
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Lipovetsky, Stan – International Journal of Mathematical Education in Science and Technology, 2009
The Pareto 80/20 Rule, also known as the Pareto principle or law, states that a small number of causes (20%) is responsible for a large percentage (80%) of the effect. Although widely recognized as a heuristic rule, this proportion has not been theoretically based. The article considers derivation of this 80/20 rule and some other standard…
Descriptors: Computation, Monte Carlo Methods, Mathematical Concepts, Nonparametric Statistics
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de la Torre, Jimmy – Applied Psychological Measurement, 2009
Cognitive or skills diagnosis models are discrete latent variable models developed specifically for the purpose of identifying the presence or absence of multiple fine-grained skills. However, applications of these models typically involve dichotomous or dichotomized data, including data from multiple-choice (MC) assessments that are scored as…
Descriptors: Cognitive Measurement, Thinking Skills, Identification, Multiple Choice Tests
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Powell, Karan; Helm, Jennifer Stephens; Layne, Melissa; Ice, Phil – Administrative Issues Journal: Education, Practice, and Research, 2012
Technological and pedagogical advances in distance education have accentuated the necessity for higher education to keep pace regarding institutional infrastructures. Each infrastructure--driven by a common mission to provide quality learning--interprets quality according to standards established by various governmental and accrediting entities.…
Descriptors: Online Courses, Distance Education, Higher Education, National Standards
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Rhemtulla, Mijke; Brosseau-Liard, Patricia E.; Savalei, Victoria – Psychological Methods, 2012
A simulation study compared the performance of robust normal theory maximum likelihood (ML) and robust categorical least squares (cat-LS) methodology for estimating confirmatory factor analysis models with ordinal variables. Data were generated from 2 models with 2-7 categories, 4 sample sizes, 2 latent distributions, and 5 patterns of category…
Descriptors: Factor Analysis, Computation, Simulation, Sample Size
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White, Paul; Anderson, Judy – Mathematics Teacher Education and Development, 2012
With increased accountability attached to students' results on national testing in Australia, teachers feel under pressure to prepare students for the tests. However, this can lead to shallow teaching of a narrowed curriculum. An alternative approach involves using data to identify common errors and misconceptions, discussing strategies aimed at…
Descriptors: Testing, Test Items, Teaching Methods, Foreign Countries
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Parker, Richard I.; Vannest, Kimberly J.; Davis, John L.; Clemens, Nathan H. – Journal of Special Education, 2012
Within a response to intervention model, educators increasingly use progress monitoring (PM) to support medium- to high-stakes decisions for individual students. For PM to serve these more demanding decisions requires more careful consideration of measurement error. That error should be calculated within a fixed linear regression model rather than…
Descriptors: Measurement, Computation, Response to Intervention, Regression (Statistics)
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McMaster, Kirby; Sambasivam, Samuel E.; Anderson, Nicole – Information Systems Education Journal, 2010
In demand paging virtual memory systems, the page fault rate of a process varies with the number of memory frames allocated to the process. When an increase in the number of allocated frames leads to an increase in the number of page faults, Belady's anomaly is said to occur. In this paper, we present a probability model for Belady's anomaly. We…
Descriptors: Probability, Models, Computer Science Education, Information Systems
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Bakoev, Valentin P. – Informatics in Education, 2010
The topic "Recurrence relations" and its place in teaching students of Informatics is discussed in this paper. We represent many arguments about the importance, the necessity and the benefit of studying this subject by Informatics students. They are based on investigation of some fundamental books and textbooks on Discrete Mathematics,…
Descriptors: Information Science, Teaching Methods, Textbooks, Problem Solving
Sahni, Sarah Devi – ProQuest LLC, 2010
Early lexical acquisition is affected by biases and constraints within learners, but also by patterns and statistical regularities within a learner's environment. Much of the previous work examining the effect of statistical regularities on word learning has been directed at phonological regularities. Particularly, research has focused on the…
Descriptors: Semantics, Learning Processes, Language Acquisition, Semiotics
Baratta, Wendy; Price, Beth; Stacey, Kaye; Steinle, Vicki; Gvozdenko, Eugene – Mathematics Education Research Group of Australasia, 2010
This study reports how the difficulty of simple worded percentage problems is affected by the problem structure and the complexity of the numbers involved. We also investigate which methods students know. Results from 677 Year 8 and 9 students are reported. Overall the results indicate that more attention needs to be given to this important topic.…
Descriptors: National Curriculum, Mathematics Curriculum, Mathematics Education, Foreign Countries
Jaciw, Andrew; Ma, Boya; Zhao, Qingfeng – Society for Research on Educational Effectiveness, 2010
Randomized trials of educational interventions often face logistical hurdles (Cook, 2002). For example, sometimes they are prevented from reaching their full-term. This would happen if, as a condition of participation, subjects insist on receiving the treatment program within a certain timeframe. This timeframe may be shorter than the full-term…
Descriptors: Control Groups, Research Design, Educational Research, Statistical Analysis
Dietz, Shelby – Center on Education Policy, 2010
The Center on Education Policy, an independent nonprofit organization, collected and analyzed data from state Web sites and other sources to determine how many schools in the nation and in each state did not make adequate yearly progress (AYP) under the No Child Left Behind Act (NCLB). Findings of the study include: (1) About one-third of U.S.…
Descriptors: Public Schools, Federal Legislation, Educational Improvement, Federal Programs
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Olaya, Maria del Mar; Reyes-Labarta, Juan A.; Serrano, Maria Dolores; Marcilla, Antonio – Chemical Engineering Education, 2010
Phase thermodynamics is often perceived as a difficult subject with which many students never become fully comfortable. The Gibbsian geometrical framework can help students to gain a better understanding of phase equilibria. An exercise to interpret the vapor-liquid equilibrium of a binary azeotropic mixture, using the equilibrium condition based…
Descriptors: Thermodynamics, Chemistry, Science Instruction, Scientific Concepts
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