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Peer reviewedJansen, Paul G. W.; Roskom, Edward E. – Psychometrika, 1986
The compatibility of the polychotomous Rasch model with dichotomization of the response continuum is discussed. It is argued that in the case of graded responses, the response categories presented to the subject are essentially an arbitrary polychotomization of the response continuum. (Author/LMO)
Descriptors: Latent Trait Theory, Mathematical Models, Response Style (Tests), Responses
Peer reviewedAnderson, O. Roger – Journal of Research in Science Teaching, 1986
A neuromathematical model of information processing applied to science learning is expanded to include two coefficients representing the motivational state of the learner. The inclusion of these coefficients (which are described) permits modeling of the effects of variations in motivation on the rate and amount of information in learning tasks.…
Descriptors: Cognitive Processes, Learning, Learning Motivation, Mathematical Models
Peer reviewedDubois, Jean-Guy – Educational Studies in Mathematics, 1984
A classification of the simple combinatorial configurations which correspond to various cases of distribution and ordering of objects into boxes is given (in French). Concrete descriptions, structured relations, translations, and formalizations are discussed. (MNS)
Descriptors: Cognitive Processes, Mathematical Models, Mathematics, Mathematics Instruction
Peer reviewedBurns, Edward – Journal of School Psychology, 1983
Presents the bivariate normal probability distribution as a method for estimating the prevalence of giftedness. The bivariate model requires the specification of two cutoff values for two selection variables and information regarding the size of the correlations between variables. The use and interpretation of bivariate estimates is discussed.…
Descriptors: Children, Elementary Secondary Education, Estimation (Mathematics), Gifted
English, Lyn D.; Watters, James J. – International Group for the Psychology of Mathematics Education, 2005
This paper reports on the mathematical modelling of four classes of 4th-grade children as they worked on a modelling problem involving the selection of an Australian swimming team for the 2004 Olympics. The problem was implemented during the second year of the children's participation in a 3-year longitudinal program of modelling experiences…
Descriptors: Mathematical Models, Grade 4, Longitudinal Studies, Qualitative Research
Tam, Hak P.; Li, Yuan H. – 1997
The main purposes of this study were to investigate, by means of simulation: (1) whether the difference likelihood ratio chi-square statistic (G2-dif) for comparing item response theory (IRT) models is asymptotically distributed as a chi-square distribution; and (2) the accuracy rate of applying G2-dif in selection of nested IRT models. Two…
Descriptors: Chi Square, Comparative Analysis, Item Response Theory, Mathematical Models
Colella, Vanessa Stevens; Klopfer, Eric; Resnick, Mitchel – 2001
For thousands of years people from da Vinci to Einstein have created models to help them better understand patterns and processes in the world around them. Computers make it easier for novices to build and explore their own models and learn new scientific ideas in the process. This book introduces teachers and students to designing, creating, and…
Descriptors: Computer Software, Elementary Secondary Education, Mathematical Models, Mathematics Instruction
Peer reviewedGorsuch, Richard L. – Educational and Psychological Measurement, 1973
Descriptors: Analysis of Covariance, Factor Analysis, Mathematical Models, Statistical Significance
Peer reviewedHubert, Lawrence J. – American Educational Research Journal, 1973
Descriptors: Analysis of Variance, Mathematical Models, Orthogonal Rotation, Statistical Analysis
Peer reviewedJohnstone, James N.; Philp, Hugh – Socio-Economic Planning Sciences, 1973
Mathematical models can assist educators in the preparation of their educational plans. Administrators and planners of educational systems have found that their ad hoc procedures are no longer adequate to take into account the many variables impinging on their environment. Examines the potential of the Markov Chain, one model capable of predicting…
Descriptors: Educational Planning, Enrollment, Mathematical Models, Prediction
Peer reviewedKaufman, Burt; Rade, Lennart – Educational Studies in Mathematics, 1973
Descriptors: Instruction, Mathematical Models, Mathematics, Probability
Peer reviewedHelliwell, J. B. – Mathematical Spectrum, 1971
Descriptors: Calculus, College Mathematics, Mathematical Applications, Mathematical Models
Peer reviewedMizrahi, Abe; Sullivan, Michael – Mathematics Teacher, 1973
Descriptors: Diagrams, Instruction, Mathematical Applications, Mathematical Models
Peer reviewedSchonemann, Peter H.; Wang, Ming Mei – Psychometrika, 1972
A model for the analysis of paired comparison data is presented which is metric, mathematically tractable, and has an exact algebraic solution. (Authors/MB)
Descriptors: Algorithms, Individual Differences, Mathematical Models, Multidimensional Scaling
Matthews, Geoffrey; Bausor, John – International Journal of Mathematics Education, 1972
The approximate nature of measurement is stressed, with examples given of elementary school mathematics problems which confuse reality with its mathematical model. Examples relating measurement to mathematical structure are given. (DT)
Descriptors: Elementary School Mathematics, Instruction, Mathematical Applications, Mathematical Models


