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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

DeSarbo, Wayne S.; And Others – Psychometrika, 1989
A method is presented that simultaneously estimates cluster membership and corresponding regression functions for a sample of observations or subjects. This methodology is presented with the simulated annealing-based algorithm. A set of Monte Carlo analyses is included to demonstrate the performance of the algorithm. (SLD)
Descriptors: Algorithms, Cluster Analysis, Estimation (Mathematics), Least Squares Statistics

Lathrop, Richard G.; Williams, Janice E. – Educational and Psychological Measurement, 1990
A Monte Carlo study of the validity of the Inverse Scree Test under conditions where true group membership is known was conducted. Fifty cluster analyses of each distribution involving 2 to 5 true groups of 3,000 simulated subjects were made. Implications for the data analyst are discussed. (SLD)
Descriptors: Cluster Analysis, Data Analysis, Group Membership, Monte Carlo Methods

Umesh, U. N.; Mishra, Sanjay – Psychometrika, 1990
Major issues related to index-of-fit conjoint analysis were addressed in this simulation study. Goals were to develop goodness-of-fit criteria for conjoint analysis; develop tests to determine the significance of conjoint analysis results; and calculate the power of the test of the null hypothesis of random data distribution. (SLD)
Descriptors: Computer Simulation, Goodness of Fit, Monte Carlo Methods, Power (Statistics)

Lautenschlager, Gary J. – Multivariate Behavioral Research, 1989
Procedures for implementing parallel analysis (PA) criteria in practice were compared, examining regression equation methods that can be used to estimate random data eigenvalues from known values of the sample size and number of variables. More internally accurate methods for determining PA criteria are presented. (SLD)
Descriptors: Comparative Analysis, Estimation (Mathematics), Evaluation Criteria, Monte Carlo Methods

Lathrop, Richard G.; Williams, Janice E. – Educational and Psychological Measurement, 1989
A Monte Carlo study determined the Inverse Scree Test's shape with various numbers of true groups and under different conditions of distribution shape and sample size. Six simulated distributions of 3,000 subjects each and 1 with 1,500 were created. Findings suggest relative distribution independence, number independence, and modest…
Descriptors: Cluster Analysis, Computer Simulation, Factor Analysis, Graphs

Thompson, Paul – Applied Psychological Measurement, 1989
Monte Carlo techniques were used to examine regression approaches to external unfolding. The present analysis examined the technique to determine if various characteristics of the points are recovered (such as ideal points). Generally, monotonic analyses resulted in good recovery. (TJH)
Descriptors: Error of Measurement, Estimation (Mathematics), Mathematical Models, Monte Carlo Methods

Elliott, Ronald S.; Barcikowski, Robert S. – Mid-Western Educational Researcher, 1994
In multivariate analysis of variance studies with small numbers of subjects (15 or less) per treatment level, probability values reported by the commercial statistical packages SAS and SPSS are conservative for F approximations based on Pillai's trace and liberal for F approximations based on the Hotelling-Lawley trace. Discusses results in terms…
Descriptors: Monte Carlo Methods, Multivariate Analysis, Power (Statistics), Probability

Cota, Albert A.; And Others – Educational and Psychological Measurement, 1993
Focusing on linear interpolation, an accurate method of implementing parallel analysis, this article contains tables of 95th percentile eigenvalues from random data than can be used with sample sizes of 50 to 500 subjects and between 5 and 50 variables. An empirical example illustrates how to obtain the eigenvalues. (SLD)
Descriptors: Comparative Analysis, Computation, Factor Analysis, Monte Carlo Methods

Gilden, David L.; Wilson, Stephanie Gray – Cognitive Psychology, 1995
Signal detection experiments with 21 college students suggest that streakiness is a property of auditory and visual discrimination in that correct and incorrect responses have a positive sequential dependency. Monte-Carlo simulations of observed data sequences suggest that streaky performance results from wavelike variations in perceptual and…
Descriptors: Attention, Auditory Discrimination, College Students, Higher Education

Glorfeld, Louis W. – Educational and Psychological Measurement, 1995
A modification of Horn's parallel analysis is introduced that is based on the Monte Carlo simulation of the null distributions of the eigenvalues generated from a population correlation identity matrix. This modification reduces the tendency of the parallel analysis procedure to overextract or to extract poorly defined factors. (SLD)
Descriptors: Correlation, Factor Analysis, Factor Structure, Matrices

Young, Martin R.; DeSarbo, Wayne S. – Psychometrika, 1995
A new parametric maximum likelihood procedure is proposed for estimating ultrametric trees for the analysis of conditional rank order proximity data. Technical aspects of the model and the estimation algorithm are discussed, and Monte Carlo results illustrate its application. A consumer psychology application is also examined. (SLD)
Descriptors: Algorithms, Consumer Economics, Estimation (Mathematics), Maximum Likelihood Statistics

Mendoza, Jorge L.; And Others – Multivariate Behavioral Research, 1991
Using a Monte Carlo simulation, a bootstrap procedure was evaluated for setting a confidence interval on the unrestricted population correlation (rho) assuming various degrees of incomplete truncation on the predictor. Sample size was the most important factor in determining accuracy and stability. Sample size should be at least 50. (SLD)
Descriptors: Computer Simulation, Correlation, Estimation (Mathematics), Mathematical Models