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Monaco, Malina – 1997
The effects of skewed theta distributions on indices of differential item functioning (DIF) were studied, comparing Mantel Haenszel (N. Mantel and W. Haenszel, 1959) and DFIT (N. S. Raju, W. J. van der Linden, and P. F. Fleer) (noncompensatory DIF). The significance of the study is that in educational and psychological data, the distributions one…
Descriptors: Ability, Estimation (Mathematics), Item Bias, Monte Carlo Methods
Brooks, Gordon P.; Barcikowski, Robert S. – 1994
The focus of this research was to determine the efficacy of a new method of selecting sample sizes for multiple linear regression. A Monte Carlo simulation was used to study both empirical predictive power rates and empirical statistical power rates of the new method and seven other methods: those of C. N. Park and A. L. Dudycha (1974); J. Cohen…
Descriptors: Effect Size, Monte Carlo Methods, Power (Statistics), Prediction
Levy, Roy; Mislevy, Robert J. – 2003
This paper aims to describe a Bayesian approach to modeling and estimating cognitive models both in terms of statistical machinery and actual instrument development. Such a method taps the knowledge of experts to provide initial estimates for the probabilistic relationships among the variables in a multivariate latent variable model and refines…
Descriptors: Bayesian Statistics, Cognitive Processes, Markov Processes, Mathematical Models
Lau, C. Allen; Wang, Tianyou – 1998
The purposes of this study were to: (1) extend the sequential probability ratio testing (SPRT) procedure to polytomous item response theory (IRT) models in computerized classification testing (CCT); (2) compare polytomous items with dichotomous items using the SPRT procedure for their accuracy and efficiency; (3) study a direct approach in…
Descriptors: Computer Assisted Testing, Cutting Scores, Item Response Theory, Mastery Tests

Clinch, Jennifer J.; Keselman, H. J. – Journal of Educational Statistics, 1982
The analysis of variance, Welch, and Brown and Forsyth tests for mean equality were compared using Monte Carlo methods. The tests' rates of Type I error and power were examined when populations were nonnormal, variances were heterogeneous, and group sizes were unequal. Recommendations for use are presented. (Author/JKS)
Descriptors: Analysis of Variance, Comparative Analysis, Data Analysis, Hypothesis Testing

Wilson, Gale A.; Martin, Samuel A. – Educational and Psychological Measurement, 1983
Either Bartlett's chi-square test of sphericity or Steiger's chi-square test can be used to test the significance of a correlation matrix to determine the appropriateness of factor analysis. They were evaluated using computer-generated correlation matrices. Steiger's test is recommended due to its increased power and computational simplicity.…
Descriptors: Comparative Analysis, Correlation, Factor Analysis, Hypothesis Testing

Everitt, B. S. – Multivariate Behavioral Research, 1981
Results show that the proposed sampling distribution of the test appears to be appropriate only for sample sizes above 50, and for data where the sample size is 10 times the number of variables. For such cases the power of the test is found to be fairly low. (Author/RL)
Descriptors: Mathematical Formulas, Maximum Likelihood Statistics, Monte Carlo Methods, Multivariate Analysis

Levy, Kenneth J. – Journal of Experimental Education, 1978
Monte Carlo techniques were employed to compare the familiar F-test with Welch's V-test procedure for testing hypotheses concerning a priori contrasts among K treatments. The two procedures were compared under homogeneous and heterogeneous variance conditions. (Author)
Descriptors: Analysis of Variance, Comparative Analysis, Hypothesis Testing, Monte Carlo Methods

Chin, Wynne W. – Structural Equation Modeling, 1996
The SEPATH structural equation modeling (SEM) software is a new module in the latest release of STATISTICA (version 5.0) for Windows 3.1 and Windows 95. SEPATH is a program that provides a comprehensive set of functions for the SEM modeling. The interface and the Monte Carlo capability are strong features. (SLD)
Descriptors: Computer Interfaces, Computer Software, Data Analysis, Estimation (Mathematics)

Potenza, Maria T.; Stocking, Martha L. – Journal of Educational Measurement, 1997
Common strategies for dealing with flawed items in conventional testing, grounded in principles of fairness to examinees, are re-examined in the context of adaptive testing. The additional strategy of retesting from a pool cleansed of flawed items is found, through a Monte Carlo study, to bring about no practical improvement. (SLD)
Descriptors: Adaptive Testing, Computer Assisted Testing, Item Banks, Monte Carlo Methods

Curran, Patrick J.; Bollen, Kenneth A.; Paxton, Pamela; Kirby, James; Chen, Feinian – Multivariate Behavioral Research, 2002
Examined several hypotheses about the suitability of the noncentral chi square in applied research using Monte Carlo simulation experiments with seven sample sizes and three distinct model types, each with five specifications. Results show that, in general, for models with small to moderate misspecification, the noncentral chi-square is well…
Descriptors: Chi Square, Models, Monte Carlo Methods, Sample Size

Sinar, Evan F.; Zickar, Michael J. – Applied Psychological Measurement, 2002
Examined the influence of deviant scale items on item parameter estimates of focal scale items and person parameter estimates through a comparison of item response theory (IRT) and classical test theory (CTT) models. Used Monte Carlo methods to explore results from a pilot investigation of job attitude data. Discusses implications for researchers…
Descriptors: Attitudes, Estimation (Mathematics), Monte Carlo Methods, Robustness (Statistics)

Whitney, Matthew C. – Mathematics Teacher, 2001
Describes an activity designed to demonstrate the birthday paradox and introduce students to real-world applications of Monte Carlo-type simulation techniques. Includes a sample TI-83 program and graphical analysis of the birthday problem function. (KHR)
Descriptors: Graphing Calculators, Mathematics Activities, Mathematics Instruction, Monte Carlo Methods

MacDonald, Paul; Paunonen, Sampo V. – Educational and Psychological Measurement, 2002
Examined the behavior of item and person statistics from item response theory and classical test theory frameworks through Monte Carlo methods with simulated test data. Findings suggest that item difficulty and person ability estimates are highly comparable for both approaches. (SLD)
Descriptors: Ability, Comparative Analysis, Difficulty Level, Item Response Theory
Estimating Item and Ability Parameters in Homogeneous Tests with the Person Characteristic Function.

Carroll, John B. – Applied Psychological Measurement, 1990
Using Monte Carlo methods, with item response data generated for a variety of test characteristics, procedures are developed for estimating item and ability parameters in homogeneous, unidimensional tests with person characteristic functions for different levels of the total raw score distribution. (SLD)
Descriptors: Cognitive Ability, Cognitive Tests, Estimation (Mathematics), Item Response Theory