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Peer reviewedKoshal, Rajindar K.; And Others – Education Economics, 1996
Using 1990-91 data for 143 Ph.D. granting institutions, this study applies a simultaneous equation model to determine whether an institution's amount of research grants is a function of its academic ranking. Results show a simultaneous relationship among grants per full-time-equivalent enrollment, institutional ranking, and graduate students as a…
Descriptors: Demography, Graduate Students, Grants, Higher Education
Peer reviewedNyman, Melvin A.; Brown, Murray T. – Teaching Mathematics and Its Applications, 1996
Descriptors: Higher Education, Marine Biology, Mathematical Applications, Mathematical Models
Peer reviewedCheung, Mike W. -L.; Chan, Wai – Structural Equation Modeling, 2002
Defines a mathematical model of uniform response bias (URB) and proposes ipsative measures to minimize the effect of URB in multigroup confirmatory factor analysis. Illustrates the method using real data from the Chinese Personality Assessment Inventory for 2 groups of sample sizes 793 and 792 adults. (SLD)
Descriptors: Adults, Foreign Countries, Mathematical Models, Personality Assessment
Peer reviewedStacey, Kaye; Helme, Sue; Archer, Shona; Condon, Caroline – Educational Studies in Mathematics, 2001
Reports on a study comparing the use of Multi-base arithmetic blocks (MAB) and an alternative, LAB (linear arithmetic blocks) on the basis of epistemic fidelity and accessibility for students. Use of LAB was associated with more active engagement by students and deeper discussion. (Author/MM)
Descriptors: Arithmetic, Elementary Education, Epistemology, Manipulative Materials
Peer reviewedFay, Temple H.; Joubert, Stephan V. – International Journal of Mathematical Education in Science and Technology, 2002
Dimension analysis is promoted as a technique that promotes better understanding of the role of units and dimensions in mathematical modeling problems. Dimensional analysis is shown to lead to interesting systems of linear equations to solve, and can point the way to more quantitative analysis. Two student problems are discussed. (Author/MM)
Descriptors: Computer Uses in Education, Higher Education, Mathematical Models, Mathematics Education
Peer reviewedBacon, Donald R. – Structural Equation Modeling, 2001
Evaluated the performance of several alternative cluster analytic approaches to initial model specification using population parameter analyses and a Monte Carlo simulation. Of the six cluster approaches evaluated, the one using the correlations of item correlations as a proximity metric and average linking as a clustering algorithm performed the…
Descriptors: Algorithms, Cluster Analysis, Correlation, Mathematical Models
Curran, Patrick J. – Multivariate Behavioral Research, 2003
A core assumption of the standard multiple regression model is independence of residuals, the violation of which results in biased standard errors and test statistics. The structural equation model (SEM) generalizes the regression model in several key ways, but the SEM also assumes independence of residuals. The multilevel model (MLM) was…
Descriptors: Structural Equation Models, Multiple Regression Analysis, Observation, Mathematical Models
Peer reviewedGalban, Javier – Journal of Chemical Education, 2004
A simplified mathematical model for the calculation of imprecision associated with the construction of a calibration line is presented. The model also aims at a discussion on variables that really affect it and to integrate the resulting imprecision with that caused by the other steps in the analytical method in order to calculate a real…
Descriptors: Mathematical Models, Intervals, Computation, Regression (Statistics)
Maass, Katja – Teaching Mathematics and Its Applications: An International Journal of the IMA, 2005
This paper deals with an empirical study, which aims at showing the effects of the integration of modelling tasks into daily school routine in a comprehensive manner. At first the theoretical and methodological approach is explained. The main part of the paper deals with the results of the study. On the one hand the results show obstacles to the…
Descriptors: Teaching Methods, Mathematics Instruction, Mathematical Models, Teaching Models
Fernandez, Francisco M. – International Journal of Mathematical Education in Science and Technology, 2002
We discuss application of the Thomas-Reiche-Kuhn sum rule to simple quantum-mechanical models and its apparent violation by the rigid rotator.
Descriptors: Quantum Mechanics, Mathematical Concepts, Mathematics Education, Equations (Mathematics)
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
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
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
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
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

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