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Srisukho, Dirake; Marascuilo, Leonard A. – 1974
Based on a Monte Carlo simulation, this study is designed to investigate the power of the Kruskal-Wallis's H-test compared to the power of the F-test for three equal moderate sample sizes drawn at random from distributions of common or different shapes but for which the population distributions have equal variances. The distributions are the…
Descriptors: Analysis of Variance, Comparative Analysis, Hypothesis Testing, Monte Carlo Methods
Peer reviewedMurch, G. E. – American Journal of Physics, 1979
A simple Monte Carlo method is used to simulate an atomistic model of solid-state diffusion. This approach illustrates some of the principles of diffusion and in particular verifies a solution to Fick's second law. The role and calculation of the diffusion correlation factor is also discussed. (Author/BB)
Descriptors: Chemistry, Kinetic Molecular Theory, Kinetics, Mathematical Models
Peer reviewedCarroll, Robert M. – Educational and Psychological Measurement, 1976
Examines the similarity between the coordinates which resulted when correlations were used as similarity measures and the factor loadings obtained by factor analyzing the same correlation matrix. Real data, a set of error free data, and some computer generated data containing deliberately introduced sampling error are analyzed. (RC)
Descriptors: Comparative Analysis, Correlation, Data Analysis, Factor Analysis
Peer reviewedStauffer, D. – American Journal of Physics, 1977
Discusses computer experiments employing Monte Carlo techniques for describing phase transitions and critical phenomena in theoretical physics. (SL)
Descriptors: College Science, Computer Assisted Instruction, Higher Education, Instruction
Peer reviewedHands, Stephen; Everitt, Brian – Multivariate Behavioral Research, 1987
A Monte Carlo study was made of the recovery of cluster structure in binary data by five hierarchical techniques, with a view to finding which data structure factors influenced recovery and to determining differences between clustering methods with respect to these factors. (LMO)
Descriptors: Cluster Analysis, Cluster Grouping, Goodness of Fit, Mathematical Models
Peer reviewedHuck, Schuyler W.; And Others – Journal of Educational Statistics, 1985
Classroom demonstrations can help students gain insights into statistical concepts and phenomena. After discussing four kinds of demonstrations, the authors present three possible approaches for determining how much data are needed for the demonstration to have a reasonable probability for success. (Author/LMO)
Descriptors: Computer Simulation, Demonstrations (Educational), Higher Education, Monte Carlo Methods
Peer reviewedSpiegel, Douglas K. – Multivariate Behavioral Research, 1986
Tau, Lambda, and Kappa are measures developed for the analysis of discrete multivariate data of the type represented by stimulus response confusion matrices. The accuracy with which they may be estimated from small sample confusion matrices is investigated by Monte Carlo methods. (Author/LMO)
Descriptors: Mathematical Models, Matrices, Monte Carlo Methods, Multivariate Analysis
Peer reviewedWalton, Karen Doyle – Journal of Computers in Mathematics and Science Teaching, 1986
Encourages the use of the microcomputer to teach probability theory and concepts. Presents an instructional sequence and provides 10 activities, three of which have short programs listed. (JM)
Descriptors: Computer Assisted Instruction, Computers, Courseware, Learning Activities
Peer reviewedGarg, Rashmi; And Others – Journal of Educational Measurement, 1986
For the purpose of obtaining data to use in test development, multiple matrix sampling plans were compared to examinee sampling plans. Data were simulated for examinees, sampled from a population with a normal distribution of ability, responding to items selected from an item universe. (Author/LMO)
Descriptors: Difficulty Level, Monte Carlo Methods, Sampling, Statistical Studies
Peer reviewedWu, Yow-wu B. – Educational and Psychological Measurement, 1984
The present study compares the robustness of two different one way fixed-effects analysis of covariance (ANCOVA) models to investigate whether the model which uses a test statistic incorporating estimates of separate unequal regression slopes is more robust than the conventional model which assumes the slopes are equal. (Author/BW)
Descriptors: Analysis of Covariance, Comparative Analysis, Computer Simulation, Hypothesis Testing
Peer reviewedVisser, Ronald A.; De Leeuw, Jan – Journal of Educational Statistics, 1984
The regression-discontinuity design (RDD) offers the possibility of making inferences about causal effects from observations on selected groups. Data from such a design are considered to have a truncated bivariate distribution. For the RDD, maximum likelihood parameter estimation procedures and tests of hypotheses are presented. (Author/BW)
Descriptors: Hypothesis Testing, Maximum Likelihood Statistics, Monte Carlo Methods, Quasiexperimental Design
Peer reviewedBak, Per – Physics Today, 1983
Describes how microcomputers can perform very demanding/large-scale physics calculations at speeds not much slower than those of modern, full-size computers. Among the examples provided are a Monte Carlo simulation of the three-dimensional Ising model and a program (for the Apple microcomputer) using the time-independent Schrodinger Equation. (JN)
Descriptors: College Science, Computer Programs, Computer Simulation, Higher Education
Peer reviewedGames, Paul A.; Howell, John F. – Journal of Educational Statistics, 1976
Compares three methods of analyzing pairwise treatment differences in a multi-treatment experiment via computer simulation techniques. Under the equal n condition, the robustness of the conventional Tukey Wholly Significant Difference test (WSD) to heterogeneous variances was contrasted with two alternate techniques. Under unequal n conditions,…
Descriptors: Analysis of Variance, Comparative Analysis, Computer Programs, Hypothesis Testing
Blais, Jean-Guy; Raiche, Gilles – 2002
This paper examines some characteristics of the statistics associated with the sampling distribution of the proficiency level estimate when the Rasch model is used. These characteristics allow the judgment of the meaning to be given to the proficiency level estimate obtained in adaptive testing, and as a consequence, they can illustrate the…
Descriptors: Ability, Adaptive Testing, Error of Measurement, Estimation (Mathematics)
Peer reviewedYoda, Koji – Educational Planning, 1973
Develops models to systematically forecast the tendency of an educational administrator in charge of personnel selection processes to shift from one decision strategy to another under generally stable environmental conditions. Urges further research on these processes by educational planners. (JF)
Descriptors: Decision Making, Educational Planning, Educational Research, Models


