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Stewart, Sean M. – International Journal of Mathematical Education in Science & Technology, 2006
The time of flight, range and the angle which maximizes the range of a projectile in a linear resisting medium are expressed in analytic form in terms of the recently defined Lambert W function. From the closed-form solutions a number of results characteristic to the motion of the projectile in a linear resisting medium are analytically confirmed,…
Descriptors: Motion, Physics, Equations (Mathematics), Mathematical Models
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McCartney, Mark; Gibson, Sharon – International Journal of Mathematical Education in Science & Technology, 2006
A model for car following on a closed loop is defined. The stability of the solutions of the model is investigated by considering the evolution of the roots of the corresponding characteristic equation in the complex plane. The solution provides a motivation for investigating the behaviour of the roots of a simple class of algebraic equation.…
Descriptors: Algebra, Equations (Mathematics), Motion, Mathematical Models
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Sacristan, Ana Isabel; Noss, Richard – International Journal of Computers for Mathematical Learning, 2008
In this paper, we describe a design experiment aimed at helping students to explore and develop concepts of infinite processes and objects. Our approach is based on the design and development of a computational microworld, which afforded students the means to construct a range of representational models (symbolic, visual and numeric) of…
Descriptors: Mathematical Concepts, Mathematics Instruction, Computation, Mathematical Models
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Francis, Wendy S.; Corral, Nuvia I.; Jones, Mary L.; Saenz, Silvia P. – Journal of Experimental Psychology: General, 2008
Cognitive mechanisms underlying repetition priming in picture naming were decomposed in several experiments. Sets of encoding manipulations meant to selectively prime or reduce priming in object identification or word production components of picture naming were combined factorially to dissociate processes underlying priming in picture naming.…
Descriptors: Identification, Bilingualism, Cues, Prompting
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Suh, Jennifer M.; Johnston, Chris; Jamieson, Spencer; Mills, Michelle – Mathematics Teaching in the Middle School, 2008
The abstract nature of mathematics requires the communication of mathematical ideas through multiple representations, such as words, symbols, pictures, objects, or actions. Building representational fluency involves using mathematical representations flexibly and being able to interpret and translate among these different models and mathematical…
Descriptors: Symbols (Mathematics), Mathematical Concepts, Mathematics Instruction, Mathematics Skills
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Buhl, David; O' Neal, Judy – International Journal for Technology in Mathematics Education, 2008
The current mantra in education is "technology, technology, technology." Many teachers and prospective teachers become frustrated with their lack of knowledge regarding the "appropriate" use of technology in the classroom. Prospective teachers need training in their education to understand how technology can be used "appropriately" in the…
Descriptors: Mathematics Instruction, Problem Solving, Educational Technology, Technology Integration
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Gordon, Sheldon P. – PRIMUS, 2008
Most college algebra courses are offered in the spirit of preparing the students to move on toward calculus. In reality, only a vanishingly small fraction of the million students a year who take these courses ever get to calculus. This article builds a strong case for the need to change the focus in college algebra to one that better meets the…
Descriptors: Calculus, Algebra, College Mathematics, Mathematics Instruction
Fan, Xitao – 1995
This paper, in a fashion easy to follow, illustrates the interesting relationship between structural equation modeling and canonical correlation analysis. Although computationally somewhat inconvenient, representing canonical correlation as a structural equation model may provide some information which is not available from conventional canonical…
Descriptors: Comparative Analysis, Correlation, Mathematical Models, Research Methodology
Flowers, Claudia P.; And Others – 1996
N. S. Raju, W. J. van der Linden, and P. F. Fleer (in press) have proposed an item response theory-based, parametric procedure for the detection of differential item functioning (DIF)/differential test functioning (DTF) known as differential functioning of item and test (DFIT). DFIT can be used with dichotomous, polytomous, or multidimensional…
Descriptors: Item Response Theory, Mathematical Models, Simulation, Test Bias
Hester, Yvette – 1996
Data reduction techniques seek to combine variables that account for patterns of variation in observed dependent variables in such a way that a simpler model is available for analysis. Factor analysis is a data reduction technique that attempts to model or explain a set of variables in terms of their associations. To understand why this technique…
Descriptors: Factor Analysis, Factor Structure, Heuristics, Mathematical Models
Mittag, Kathleen Cage – 1993
Most researchers using factor analysis extract factors from a matrix of Pearson product-moment correlation coefficients. A method is presented for extracting factors in a non-parametric way, by extracting factors from a matrix of Spearman rho (rank correlation) coefficients. It is possible to factor analyze a matrix of association such that…
Descriptors: Correlation, Factor Analysis, Heuristics, Mathematical Models
Marion, Russ; Richardson, Michael D. – 1991
Chaos theory describes the way systems change over time. It proposes that systems governed by physical laws can undergo transitions to a highly irregular form of behavior and that although chaotic behavior appears random, it is governed by strict mathematical conditions. This paper applies chaos theory to administrative and organizational issues.…
Descriptors: Chaos Theory, Information Theory, Mathematical Models, Organizational Theories
Algina, James; And Others – 1993
Type I error rates were estimated for three tests that compare means by using data from two independent samples: the independent samples t test, Welch's approximate degrees of freedom test, and James's second order test. Type I error rates were estimated for skewed distributions, equal and unequal variances, equal and unequal sample sizes, and a…
Descriptors: Comparative Analysis, Equations (Mathematics), Estimation (Mathematics), Mathematical Models
Rowell, R. Kevin – 1991
In multiple regression analysis, where resulting predictive equation effectiveness is subject to shrinkage, it is especially important to evaluate result replicability. Double cross-validation is an empirical method by which an estimate of invariance or stability can be obtained from research data. A procedure for double cross-validation is…
Descriptors: Equations (Mathematics), Estimation (Mathematics), Heuristics, Mathematical Models
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Schulman, Robert S.; Haden, Richard L. – Psychometrika, 1975
A model is proposed for the description of ordinal test scores based on the definition of true score as expected rank; its deviations are compared with results from classical test theory. An unbiased estimator of population true score from sample data is calculated. Score variance and population reliability are examined. (Author/BJG)
Descriptors: Career Development, Mathematical Models, Test Reliability, Test Theory
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