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Martin, Gerald R. – 1976
Through Monte Carlo procedures, three different techniques for estimating the parameter theta (proportion of the "shocks" remaining in the system) in the Integrated Moving Average (0,1,1) time-series model are compared in terms of (1) the accuracy of the estimates, (2) the independence of the estimates from the true value of theta, and…
Descriptors: Comparative Analysis, Computer Programs, Data Analysis, Mathematical Models
Hummel, Thomas J.; Feltovich, Paul J. – 1974
In some correlational studies it is not reasonable to assume that bivariate observations are uncorrelated. An example would be a configural analysis in which two individuals are correlated across several variables (e.g., Q-technique). The present study was a Monte Carlo investigation of the robustness of techniques used in judging the magnitude of…
Descriptors: Computer Programs, Correlation, Hypothesis Testing, Matrices
Skakun, Ernest N.; And Others – 1972
Attention has been drawn to the lack of standards for evaluating the degree of goodness of fit of patterns resulting from a principal components analysis of two data sets. An empirical sampling distribution of the statistic average trace (E'E) as E is obtained in the orthogonal procrustes problem, for various orders of A matrices was developed…
Descriptors: Data Analysis, Factor Structure, Guidelines, Monte Carlo Methods
Peer reviewed Peer reviewed
Huynh, Huynh; Feldt, Leonard S. – Journal of Educational Statistics, 1976
When the variance assumptions of a repeated measures ANOVA are not met, the F distribution of the mean square ratio should be adjusted by the sample estimate of the Box correction factor. An alternative is proposed which is shown by Monte Carlo methods to be less biased for a moderately large factor. (RC)
Descriptors: Analysis of Variance, Computer Programs, Hypothesis Testing, Matrices
Peer reviewed Peer reviewed
Petersen, Calvin R.; Thain, John W. – Educational and Psychological Measurement, 1976
Relative to test and criterion parameters and cutting scores, the correlation coefficient, sample size, and number of samples to be drawn (all inputs), this program calculates decision classification rates across samples and for combined samples. Several other related indices are also computed. (Author)
Descriptors: Computer Programs, Cutting Scores, Decision Making, Monte Carlo Methods
Peer reviewed Peer reviewed
Huberty, Carl J.; And Others – Multivariate Behavioral Research, 1987
Three estimates of the probabilities of correct classification in predictive discriminant analysis were computed using mathematical formulas, resubstitution, and external analyses: (1) optimal hit rate; (2) actual hit rate; and (3) expected actual hit rate. Methods were compared using Monte Carlo sampling from two data sets. (Author/GDC)
Descriptors: Classification, Discriminant Analysis, Elementary Education, Estimation (Mathematics)
Peer reviewed Peer reviewed
Ross, Donald C.; Klein, Donald F. – Educational and Psychological Measurement, 1988
The variance of the sample difference and the power of the "F" test for mean differences were studied under group matching on covariates and also under random assignment. Results shed light on systematic assignment procedures advocated to provide more precise estimates of treatment effects than simple random assignment. (TJH)
Descriptors: Analysis of Covariance, Analysis of Variance, Monte Carlo Methods, Outcomes of Treatment
Peer reviewed Peer reviewed
Simon, Julian L.; And Others – American Mathematical Monthly, 1976
The Monte Carlo method and its logic are reviewed, then three experiments that tested the value of the method in a variety of class settings are described. (DT)
Descriptors: College Mathematics, Higher Education, Instruction, Learning Activities
Zumbo, Bruno D.; Ochieng, Charles O. – 2002
Many measures found in educational research are ordered categorical response variables that are empirical realizations of an underlying normally distributed variate. These ordered categorical variables are commonly referred to as Likert or rating scale data. Regression models are commonly fit using these ordered categorical variables as the…
Descriptors: Educational Research, Goodness of Fit, Likert Scales, Monte Carlo Methods
Hu, Ming-xiu; Salvucci, Sameena – 2001
Many imputation techniques and imputation software packages have been developed over the years to deal with missing data. Different methods may work well under different circumstances, and it is advisable to conduct a sensitivity analysis when choosing an imputation method for a particular survey. This study reviewed about 30 imputation methods…
Descriptors: Algorithms, Computer Simulation, Data Analysis, Longitudinal Studies
Jiang, Ying Hong; Smith, Philip L. – 2002
This Monte Carlo study explored relationships among standard and unstandardized regression coefficients, structural coefficients, multiple R_ squared, and significance level of predictors for a variety of linear regression scenarios. Ten regression models with three predictors were included, and four conditions were varied that were expected to…
Descriptors: Effect Size, Estimation (Mathematics), Mathematical Models, Monte Carlo Methods
Parshall, Cynthia G.; Kromrey, Jeffrey D.; Harmes, J. Christine; Sentovich, Christina – 2001
Computerized adaptive tests (CATs) are efficient because of their optimal item selection procedures that target maximally informative items at each estimated ability level. However, operational administration of these optimal CATs results in a relatively small subset of items given to examinees too often, while another portion of the item pool is…
Descriptors: Ability, Adaptive Testing, Computer Assisted Testing, Estimation (Mathematics)
Peer reviewed Peer reviewed
Barcikowski, Robert S. – Journal of Educational Measurement, 1972
These results indicate that in deciding on the data-gathering design to be used in seeking norm information, attention should be given to item characteristics and test length with particular attention paid to the range of biserial correlations between item response and ability. (Author)
Descriptors: Item Sampling, Mathematical Models, Measurement Techniques, Monte Carlo Methods
Peer reviewed Peer reviewed
Pratt, Jamie H.; And Others – Educational and Psychological Measurement, 1981
Attempts are made to improve the previously used procedure for multidimensional scaling in the measure of conceptual level. Monte Carlo simulation runs and a laboratory experiment highlight potential incongruities related to the degree of error in the input data required by that process. Methodological recommendations are briefly evaluated.…
Descriptors: Cognitive Measurement, Cognitive Style, Higher Education, Hypothesis Testing
Lowry, Pat G. – Creative Computing, 1981
A program designed to calculate pi using a Monte Carlo simulation based on "throwing darts" at a quarter circle of unit radius inscribed in a unit square is presented. (MP)
Descriptors: Computer Programs, Computer Science Education, Geometric Concepts, Instructional Materials
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