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Stark, Stephen; Drasgow, Fritz – Applied Psychological Measurement, 2002
Describes item response and information functions for the Zinnes and Griggs paired comparison item response theory (IRT) model (1974) and presents procedures for estimating stimulus and person parameters. Monte Carlo simulations show that at least 400 ratings are required to obtain reasonably accurate estimates of the stimulus parameters and their…
Descriptors: Comparative Analysis, Computer Simulation, Error of Measurement, Item Response Theory
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Teasdale, T. W.; Owen, David R. – Intelligence, 1989
Data from two samples of 32,862 and 6,757 males, respectively, from the Danish draft board indicate that gains in intelligence test scores are continuing and are concentrated among lower intelligence levels. Monte Carlo simulations suggested that this distributional change did not result from a ceiling effect in the test. (SLD)
Descriptors: Adults, Foreign Countries, Intelligence Tests, Males
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Batchelder, William H.; Romney, A. Kimball – Psychometrika, 1988
A general model is presented for homogeneous, dichotomous items when the answer key is unknown. The model is related to the two-class latent structure model with the roles of respondents and items interchanged. Iterative maximum likelihood estimates of parameters and Monte Carlo assessment of estimation methods are described. (TJH)
Descriptors: Answer Keys, Equations (Mathematics), Estimation (Mathematics), Latent Trait Theory
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DeSarbo, Wayne S.; Cho, Jaewun – Psychometrika, 1989
This paper presents a new stochastic multidimensional scaling vector threshold model designed to analyze "pick any/n" choice data. A maximum likelihood procedure is formulated to estimate a joint space of both individuals and stimuli. The non-linear probit type model is described, and a Monte Carlo analysis is performed. (TJH)
Descriptors: Consumer Economics, Equations (Mathematics), Factor Analysis, Maximum Likelihood Statistics
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Roznowski, Mary; And Others – Applied Psychological Measurement, 1991
Three heuristic methods of assessing the dimensionality of binary item pools were evaluated in a Monte Carlo investigation. The indices were based on (1) the local independence of unidimensional tests; (2) patterns of second-factor loadings derived from simplex theory; and (3) the shape of the curve of successive eigenvalues. (SLD)
Descriptors: Comparative Analysis, Computer Simulation, Correlation, Evaluation Methods
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Brown, R. L. – Multivariate Behavioral Research, 1990
A Monte Carlo study was conducted to assess the robustness of the limited information two-stage least squares (2SLS) estimation procedure on a confirmatory factor analysis model with nonnormal distributions. Full information maximum likelihood methods were used for comparison. One hundred model replications were used to generate data. (TJH)
Descriptors: Comparative Analysis, Estimation (Mathematics), Factor Analysis, Least Squares Statistics
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Buja, Andreas; Eyuboglu, Nermin – Multivariate Behavioral Research, 1992
Use of parallel analysis (PA), a selection rule for the number-of-factors problem, is investigated from the viewpoint of permutation assessment through a Monte Carlo simulation. Results reveal advantages and limitations of PA. Tables of sample eigenvalues are included. (SLD)
Descriptors: Computer Simulation, Correlation, Factor Structure, Mathematical Models
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Noonan, Brian W.; And Others – Applied Psychological Measurement, 1992
Studied the extent to which three appropriateness indexes, Z(sub 3), ECIZ4, and W, are well standardized in a Monte Carlo study. The ECIZ4 most closely approximated a normal distribution, and its skewness and kurtosis were more stable and less affected by test length and item response theory model than the others. (SLD)
Descriptors: Comparative Analysis, Item Response Theory, Mathematical Models, Maximum Likelihood Statistics
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Seltzer, Michael H. – Journal of Educational Statistics, 1993
A Bayesian approach to sensitivity of inferences to possible outliers involves recalculating marginal posterior distributions of parameters of interest under assumptions of heavy tails. This strategy is implemented in the hierarchical model setting through Gibbs sampling, a Monte Carlo technique, and illustrated through a reanalysis of data on…
Descriptors: Bayesian Statistics, Elementary Education, Equations (Mathematics), Mathematical Models
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Kromrey, Jeffrey D.; Dickinson, Wendy B. – Educational and Psychological Measurement, 1996
Empirical estimates of the power and Type I error rate of the test of the classrooms-within-treatments effect in the nested analysis of variance approach are provided for a variety of nominal alpha levels and a range of classroom effect sizes and research designs. (SLD)
Descriptors: Analysis of Variance, Correlation, Educational Research, Effect Size
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Ogasawara, Haruhiko – Applied Psychological Measurement, 2001
Discusses three types of least squares estimation (generalized, unweighted, and weighted). Results from a Monte Carlo simulation show that, in comparison with other least squares methods, the weighted least squared method generally reduced bias without increasing asymptotic standard errors. (SLD)
Descriptors: Error of Measurement, Estimation (Mathematics), Item Response Theory, Least Squares Statistics
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Silver, N. Clayton; Hittner, James B.; May, Kim – Journal of Experimental Education, 2004
The authors conducted a Monte Carlo simulation of 4 test statistics or comparing dependent correlations with no variables in common. Empirical Type 1 error rates and power estimates were determined for K. Pearson and L. N. G. Filon's (1898) z, O. J. Dunn and V. A. Clark's (1969) z, J. H. Steiger's (1980) original modification of Dunn and Clark's…
Descriptors: Monte Carlo Methods, Simulation, Effect Size, Sample Size
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Serrano, Agostinho; Santos, Flavia M. T.; Greca, Ileana M. – Journal of Chemical Education, 2004
The use of molecular dynamics and Monte Carlo methods has provided efficient means to stimulate the behavior of molecular liquids and solutions. A Monte Carlo simulation program is used to compute the structure of liquid water and of water as a solvent to Na(super +), Cl(super -), and Ar on a personal computer to show that it is easily feasible to…
Descriptors: Monte Carlo Methods, Molecular Structure, Chemistry, Water
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Ogasawara, Haruhiko – Psychometrika, 2004
Formulas for the asymptotic biases of the parameter estimates in structural equation models are provided in the case of the Wishart maximum likelihood estimation for normally and nonnormally distributed variables. When multivariate normality is satisfied, considerable simplification is obtained for the models of unstandardized variables. Formulas…
Descriptors: Evaluation Methods, Bias, Factor Analysis, Structural Equation Models
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Janetzko, Dietmar; Fischer, Frank – Journal of Educational Computing Research, 2003
Representations and changes between them play a major role in education (e.g., Hewson, Beeth, & Thorley, 1998), problem solving (e.g., Bauer & Reiser, 1990), cognitive development (e.g., Vosniadou & Brewer, 1992), and the history of science (e.g., Kuhn, 1970). By definition, change of representations is also indispensable for collaborative work…
Descriptors: Computer Software, Cognitive Development, Computer Assisted Instruction, Goodness of Fit
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