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Ruan, Shiling; MacEachern, Steven N.; Otter, Thomas; Dean, Angela M. – Psychometrika, 2008
Conjoint choice experiments are used widely in marketing to study consumer preferences amongst alternative products. We develop a class of choice models, belonging to the class of Poisson race models, that describe a "random utility" which lends itself to a process-based description of choice. The models incorporate a dependence structure which…
Descriptors: Statistical Analysis, Probability, Mathematical Models, Computation
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Gwet, Kilem Li – Psychometrika, 2008
Most inter-rater reliability studies using nominal scales suggest the existence of two populations of inference: the population of subjects (collection of objects or persons to be rated) and that of raters. Consequently, the sampling variance of the inter-rater reliability coefficient can be seen as a result of the combined effect of the sampling…
Descriptors: Interrater Reliability, Computation, Statistical Inference, Sampling
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Yuan, Ke-Hai; Kouros, Chrystyna D.; Kelley, Ken – Structural Equation Modeling: A Multidisciplinary Journal, 2008
When a covariance structure model is misspecified, parameter estimates will be affected. It is important to know which estimates are systematically affected and which are not. The approach of analyzing the path is both intuitive and informative for such a purpose. Different from path analysis, analyzing the path uses path tracing and elementary…
Descriptors: Computation, Structural Equation Models, Statistical Bias, Factor Structure
Muschla, Judith A.; Muschla, Gary Robert; Muschla, Erin – Jossey-Bass, An Imprint of Wiley, 2012
The new Common Core State Standards for Mathematics have been formulated to provide students with instruction that will help them acquire a thorough knowledge of math at their grade level, which will in turn enable them to move on to higher mathematics with competence and confidence. "Hands-on Activities for Teaching the Common Core Math…
Descriptors: State Standards, Mathematics Instruction, Academic Standards, Experiential Learning
Kitchens, Vivian D. – ProQuest LLC, 2012
Students with learning disabilities score lower than other at-risk groups on state standardized assessment tests. Educators are searching for intervention strategies to improve math achievement for students with learning disabilities. Using the theoretical framework of behaviorism, the purpose of this quantitative one group pre post test design…
Descriptors: Learning Disabilities, At Risk Students, Standardized Tests, Statistical Analysis
Brese, Falk, Ed. – International Association for the Evaluation of Educational Achievement, 2012
The Teacher Education Study in Mathematics or TEDS-M is a study conducted under the aegis of the International Association for the Evaluation of Educational Achievement (IEA). The lead research center for the study is the International Study Center at Michigan State University (ISC/MSU). The ISC/MSU worked from 2006 to 2011 with the International…
Descriptors: Preservice Teacher Education, Elementary School Teachers, Secondary School Teachers, Mathematics Teachers
Krauss, Jane – Learning & Leading with Technology, 2012
Good learning experiences ask students to investigate and make sense of the world. While there are many ways to do this, K-12 curriculum has traditionally skewed toward reading and writing to interpret and express students' sense-making. But there is another way. Infographics represent data and ideas visually, in pictures, engaging more parts of…
Descriptors: Thinking Skills, Critical Thinking, Elementary Secondary Education, Middle School Students
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Hua, Youjia; Morgan, Benjamin S. T.; Kaldenberg, Erica R.; Goo, Minkowan – Education and Training in Autism and Developmental Disabilities, 2012
This study assessed the effectiveness of a three-step cognitive strategy (TIP) for calculating tip and total bill for young adults with intellectual disability. In the context of pre- and post-test nonequivalent-groups design, 10 students from a postsecondary education program for individuals with disabilities participated in the study. A teacher…
Descriptors: Learning Strategies, Experimental Groups, Mental Retardation, Young Adults
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Zhou, Li; Griffin-Shirley, Nora; Kelley, Pat; Banda, Devender R.; Lan, William Y.; Parker, Amy T.; Smith, Derrick W. – Journal of Visual Impairment & Blindness, 2012
Introduction: The study presented here explored the relationship between computer and Internet use and the performance on standardized tests by secondary school students with visual impairments. Methods: With data retrieved from the first three waves (2001-05) of the National Longitudinal Transition Study-2, the correlational study focused on…
Descriptors: Homework, Assistive Technology, Science Tests, Secondary School Students
Newman-Gonchar, Rebecca; Clarke, Benjamin; Gersten, Russell – Center on Instruction, 2009
This summary of nine studies provides information about evidence-based practices for Tier 2 interventions and how to use Response to Intervention (RTI) in mathematics. It gives a critical technical analysis and review of research on RTI and multi-tiered instructional systems. In an earlier Center on Instruction publication, the authors described…
Descriptors: Response to Intervention, Intervention, Mathematics Instruction, Educational Research
Gergely, John Robert – ProQuest LLC, 2009
Obtaining an accurate microscopic description of water structure and dynamics is of great interest to molecular biology researchers and in the physics and quantum chemistry simulation communities. This dissertation describes efforts to apply quantum Monte Carlo methods to this problem with the goal of making progress toward a fully "ab initio"…
Descriptors: Monte Carlo Methods, Physics, Molecular Biology, Water
Ayers, Elizabeth; Nugent, Rebecca; Dean, Nema – International Working Group on Educational Data Mining, 2009
A fundamental goal of educational research is identifying students' current stage of skill mastery (complete/partial/none). In recent years a number of cognitive diagnosis models have become a popular means of estimating student skill knowledge. However, these models become difficult to estimate as the number of students, items, and skills grows.…
Descriptors: Data Analysis, Skills, Knowledge Level, Students
Nugent, Rebecca; Ayers, Elizabeth; Dean, Nema – International Working Group on Educational Data Mining, 2009
In educational research, a fundamental goal is identifying which skills students have mastered, which skills they have not, and which skills they are in the process of mastering. As the number of examinees, items, and skills increases, the estimation of even simple cognitive diagnosis models becomes difficult. We adopt a faster, simpler approach:…
Descriptors: Data Analysis, Students, Skills, Cluster Grouping
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Desoete, Annemie; Ceulemans, Annelies; Roeyers, Herbert; Huylebroeck, Anne – Educational Research Review, 2009
This paper aims to highlight the significance of a particular aspect of magnitude processing, namely counting and subitizing or the rapid enumeration of small sets of items, for learning. Emphasis is laid on the historical roots and the conceptual framework as well as on studies on pre-verbal and school-age children. Evidence of the potential…
Descriptors: Computation, Screening Tests, Predictor Variables, Learning Disabilities
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de Souza, Paulo A., Jr.; Brasil, Gutemberg Hespanha – European Journal of Physics, 2009
This paper describes how to calculate measurement uncertainties using as a practical example the assessment of the thickness of ping-pong balls and their material density. The advantages of a randomized experiment are also discussed. This experiment can be reproduced in the physics laboratory for undergraduate students. (Contains 7 tables, 1…
Descriptors: Undergraduate Study, Science Instruction, Science Experiments, College Science
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