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Schoeneberger, Jason A. – Journal of Experimental Education, 2016
The design of research studies utilizing binary multilevel models must necessarily incorporate knowledge of multiple factors, including estimation method, variance component size, or number of predictors, in addition to sample sizes. This Monte Carlo study examined the performance of random effect binary outcome multilevel models under varying…
Descriptors: Sample Size, Models, Computation, Predictor Variables
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Maf'ulah, Syarifatul; Juniati, Dwi; Siswono, Tatag Yuli Eko – Educational Research and Reviews, 2016
The fact that there is no much study on reversibility is one of reason this study was conducted. Others, the importance of reversibility is also being researcher's motivation for focusing pupils' reversibility. On the other hand, the concern on pupils' reversibility is a major concern. The objective of this research is to identify errors done by…
Descriptors: Foreign Countries, Elementary School Students, Grade 5, Error Patterns
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Finch, Holmes; Edwards, Julianne M. – Educational and Psychological Measurement, 2016
Standard approaches for estimating item response theory (IRT) model parameters generally work under the assumption that the latent trait being measured by a set of items follows the normal distribution. Estimation of IRT parameters in the presence of nonnormal latent traits has been shown to generate biased person and item parameter estimates. A…
Descriptors: Item Response Theory, Computation, Nonparametric Statistics, Bayesian Statistics
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Agrawal, Rakesh; Golshan, Behzad; Papalexakis, Evangelos – Journal of Educational Data Mining, 2016
A study plan is the choice of concepts and the organization and sequencing of the concepts to be covered in an educational course. While a good study plan is essential for the success of any course offering, the design of study plans currently remains largely a manual task. We present a novel data-driven method, which given a list of concepts can…
Descriptors: Lesson Plans, Educational Planning, Curriculum Design, Evidence Based Practice
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Mahmud, Jumailiyah; Sutikno, Muzayanah; Naga, Dali S. – Educational Research and Reviews, 2016
The aim of this study is to determine variance difference between maximum likelihood and expected A posteriori estimation methods viewed from number of test items of aptitude test. The variance presents an accuracy generated by both maximum likelihood and Bayes estimation methods. The test consists of three subtests, each with 40 multiple-choice…
Descriptors: Maximum Likelihood Statistics, Computation, Item Response Theory, Test Items
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Aunio, Pirjo; Räsänen, Pekka – European Early Childhood Education Research Journal, 2016
The aim of this study was to model the most crucial numerical factors to the development of mathematical skills among children aged five to eight years (i.e. kindergarten, preschool, first and second graders). We categorised numerical skills into four main groups based on the results of longitudinal studies. A series of analyses of test batteries…
Descriptors: Early Childhood Education, Numeracy, Mathematics Skills, Teaching Models
Steenbergen-Hu, Saiying; Olszewski-Kubilius, Paula – Gifted Child Quarterly, 2016
This methodological brief introduces basic procedures and issues for conducting a high-quality meta-analysis in gifted education. Specifically, we discuss issues such as how to select a topic and formulate research problems, search for and identify qualified studies, code studies and extract data, choose and calculate effect sizes, analyze data,…
Descriptors: Meta Analysis, Academically Gifted, Research Methodology, Research Problems
Suh, Jennifer M.; Seshaiyer, Padmanabhan – Rowman & Littlefield Publishers, 2016
"Modeling Mathematical Ideas" combining current research and practical strategies to build teachers and students strategic competence in problem solving.This must-have book supports teachers in understanding learning progressions that addresses conceptual guiding posts as well as students' common misconceptions in investigating and…
Descriptors: Elementary School Mathematics, Secondary School Mathematics, Mathematics Instruction, Problem Solving
Ben Clarke; Christian T. Doabler; Keith Smolkowski; Evangeline Kurtz-Nelson; Hank Fien; Scott K. Baker; Derek Kosty – Grantee Submission, 2016
This study examined the efficacy of a kindergarten mathematics intervention program, ROOTS, focused on developing whole-number understanding in the areas of counting and cardinality and operations and algebraic thinking for students at risk in mathematics. The study utilized a randomized block design with students within classrooms randomly…
Descriptors: Mathematics Instruction, Kindergarten, Intervention, Sustainability
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Hurrell, Derek – Australian Primary Mathematics Classroom, 2014
In providing a continued focus on tasks and activities that help to illustrate key ideas embedded in the new Australian Curriculum, this issue will focus on Number in the Number and Algebra strand. In this article Derek Hurrell provides a few tried and proven activities to develop place value understanding. These activities are provided for…
Descriptors: National Curriculum, Educational Practices, Performance Factors, Number Systems
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Cohen, Dale J.; Sarnecka, Barbara W. – Developmental Psychology, 2014
Children's understanding of numbers is often assessed using a number-line task, where the child is shown a line labeled with 0 at one end and a higher number (e.g., 100) at the other end. The child is then asked where on the line some intermediate number (e.g., 70) should go. Performance on this task changes predictably during childhood, and this…
Descriptors: Number Concepts, Computation, Measurement, Mathematics Skills
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Rhile, Ian J. – Journal of Chemical Education, 2014
Atomic orbitals are a theme throughout the undergraduate chemistry curriculum, and visualizing them has been a theme in this journal. Contour plots as isosurfaces or contour lines in a plane are the most familiar representations of the hydrogen wave functions. In these representations, a surface of a fixed value of the wave function ? is plotted…
Descriptors: Science Instruction, Scientific Concepts, Undergraduate Study, College Science
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Xi, Nuo; Browne, Michael W. – Journal of Educational and Behavioral Statistics, 2014
A promising "underlying bivariate normal" approach was proposed by Jöreskog and Moustaki for use in the factor analysis of ordinal data. This was a limited information approach that involved the maximization of a composite likelihood function. Its advantage over full-information maximum likelihood was that very much less computation was…
Descriptors: Factor Analysis, Maximum Likelihood Statistics, Data, Computation
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Kretschmann, Julia; Vock, Miriam; Lüdtke, Oliver – Journal of Educational Psychology, 2014
Using German data, we examined the effects of one specific type of acceleration--grade skipping--on academic performance. Prior research on the effects of acceleration has suffered from methodological restrictions, especially due to a lack of appropriate comparison groups and a priori measurements. For this reason, propensity score matching was…
Descriptors: Foreign Countries, Academic Achievement, Elementary School Students, Acceleration (Education)
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MacGregor, James N. – Journal of Problem Solving, 2014
Previous studies have shown that people start traveling sales problem tours significantly more often from boundary than from interior nodes. There are a number of possible reasons for such a tendency: first, it may arise as a direct result of the processes involved in tour construction; second, boundary points may be perceptually more salient than…
Descriptors: Problem Solving, Performance, Preferences, Geographic Location
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