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Drummond, Gordon B.; Vowler, Sarah L. – Advances in Physiology Education, 2012
These authors have previously described how to use the "t" test to compare two groups. In this article, they describe the use of a different test, analysis of variance (ANOVA) to compare more than two groups. ANOVA is a test of group differences: do at least two of the means differ from each other? ANOVA assumes (1) normal distribution…
Descriptors: Test Results, Statistical Analysis, Multivariate Analysis, Evaluation Methods
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Ho, Tsung-Han; Dodd, Barbara G. – Applied Measurement in Education, 2012
In this study we compared five item selection procedures using three ability estimation methods in the context of a mixed-format adaptive test based on the generalized partial credit model. The item selection procedures used were maximum posterior weighted information, maximum expected information, maximum posterior weighted Kullback-Leibler…
Descriptors: Computer Assisted Testing, Adaptive Testing, Test Items, Selection
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Fife, Dustin A.; Mendoza, Jorge L.; Terry, Robert – Educational and Psychological Measurement, 2012
Though much research and attention has been directed at assessing the correlation coefficient under range restriction, the assessment of reliability under range restriction has been largely ignored. This article uses item response theory to simulate dichotomous item-level data to assess the robustness of KR-20 ([alpha]), [omega], and test-retest…
Descriptors: Reliability, Computation, Comparative Analysis, Item Response Theory
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Doebler, Anna – Applied Psychological Measurement, 2012
It is shown that deviations of estimated from true values of item difficulty parameters, caused for example by item calibration errors, the neglect of randomness of item difficulty parameters, testlet effects, or rule-based item generation, can lead to systematic bias in point estimation of person parameters in the context of adaptive testing.…
Descriptors: Adaptive Testing, Computer Assisted Testing, Computation, Item Response Theory
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Demeyere, Nele; Humphreys, Glyn W. – Journal of Experimental Psychology: Human Perception and Performance, 2012
Evidence is presented for the immediate apprehension of exact small quantities. Participants performed a quantification task (are the number of items greater or smaller than?), and carry-over effects were examined between numbers requiring the same response. Carry-over effects between small numbers were strongly affected by repeats of pattern and…
Descriptors: Evidence, Numbers, Pattern Recognition, Cultural Awareness
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Piantadosi, Steven T.; Tenenbaum, Joshua B.; Goodman, Noah D. – Cognition, 2012
In acquiring number words, children exhibit a qualitative leap in which they transition from understanding a few number words, to possessing a rich system of interrelated numerical concepts. We present a computational framework for understanding this inductive leap as the consequence of statistical inference over a sufficiently powerful…
Descriptors: Statistical Inference, Number Concepts, Models, Computation
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Koshy, Thomas – International Journal of Mathematical Education in Science and Technology, 2012
This article investigates the numbers [image omitted], originally studied by Catalan. We re-confirm that they are indeed integers. Using the close relationship between them and the Catalan numbers C[subscript n], we develop some divisibility properties for C[subscript n]. In particular, we establish that [image omitted], where f[subscript k]…
Descriptors: Algebra, Numbers, Geometric Concepts, Mathematical Logic
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Kelava, Augustin; Nagengast, Benjamin – Multivariate Behavioral Research, 2012
Structural equation models with interaction and quadratic effects have become a standard tool for testing nonlinear hypotheses in the social sciences. Most of the current approaches assume normally distributed latent predictor variables. In this article, we present a Bayesian model for the estimation of latent nonlinear effects when the latent…
Descriptors: Bayesian Statistics, Computation, Structural Equation Models, Predictor Variables
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Magnaghi, C. P.; Assis, A. K. T. – European Journal of Physics, 2012
Archimedes calculated the centre of gravity of the cone but the proof of this theorem is not extant in his works. Knorr made a reconstruction of this proof utilizing geometrical arguments. This paper proves this theorem by means of a physical demonstration utilizing the law of the lever, and by adapting from Archimedes the method of mechanical…
Descriptors: Computation, Mathematics, Physics, Scientific Concepts
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Kalb, Kristina S.; Gravett, Julie M. – Teaching Children Mathematics, 2012
By following learned rules rather than reasoning, students often fall into common error patterns, something every experienced teacher has observed in the classroom. In their effort to circumvent the developing common error patterns of their students, the authors decided to supplement their math text with two weeklong investigations. The first was…
Descriptors: Thinking Skills, Number Concepts, Error Patterns, Computation
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Walcott, Crystal; Stickles, Paula R. – School Science and Mathematics, 2012
This article summarizes research conducted on calculator block items from the 2007 fourth- and eighth-grade National Assessment of Educational Progress Main Mathematics. Calculator items from the assessment were categorized into two categories: problem-solving items and noncomputational mathematics concept items. A calculator has the potential to…
Descriptors: Mathematics Achievement, National Competency Tests, Problem Solving, Calculators
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Reichle, Erik D.; Pollatsek, Alexander; Rayner, Keith – Psychological Review, 2012
Nonreading tasks that share some (but not all) of the task demands of reading have often been used to make inferences about how cognition influences when the eyes move during reading. In this article, we use variants of the E-Z Reader model of eye-movement control in reading to simulate eye-movement behavior in several of these tasks, including…
Descriptors: Eye Movements, Human Body, Inferences, Task Analysis
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Gray, Heewon Lee; Burgermaster, Marissa; Tipton, Elizabeth; Contento, Isobel R.; Koch, Pamela A.; Di Noia, Jennifer – Health Education & Behavior, 2016
Objective: Sample size and statistical power calculation should consider clustering effects when schools are the unit of randomization in intervention studies. The objective of the current study was to investigate how student outcomes are clustered within schools in an obesity prevention trial. Method: Baseline data from the Food, Health &…
Descriptors: Obesity, Energy, Elementary School Students, Body Composition
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Kitchens, Vivian D.; Deris, Aaron R.; Simon, Marilyn K. – Journal of the American Academy of Special Education Professionals, 2016
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. The study examined the effects of a mathematics intervention known as Cover, Copy, and Compare for learning basic…
Descriptors: Intervention, Mathematics Achievement, Learning Disabilities, At Risk Students
Snyder, Amy T. – ProQuest LLC, 2016
Improving foundational academic skills for elementary level students continues to be a challenge for classroom teachers. This study implemented weekly progress monitoring procedures using curriculum-based measurement assessments in conjunction with weekly individual student-teacher graphing and goal-setting conferences to determine the effect the…
Descriptors: Reading Achievement, Mathematics Achievement, Elementary School Students, Graphs
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