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Peer reviewedGibson, Nicole Morgan; Olejnik, Stephen – Educational and Psychological Measurement, 2003
Studied the problem of missing data at the second level of a two-level hierarchal data structure using data generated to simulate the 1982 High School and Beyond data set with five different missing data treatments: listwise deletion, overall mean substitution, group mean substitution, the EM algorithm, and multiple imputation. (SLD)
Descriptors: Data Analysis, Longitudinal Studies, Simulation
Peer reviewedPolinsky, Maria; Van Everbroeck, Ezra – Language, 2003
Presents results of a connectionist simulation that modeled the reanalysis of the Latin gender system in its transition to Old French. The network reanalysis was based solely on formal cues and on frequency. Results are in accordance with the historical data, and certain errors in simulations are also amenable to principled explanations.…
Descriptors: Diachronic Linguistics, French, Latin, Simulation
Peer reviewedHuizenga, Hilde M.; Heslenfeld, Dirk J.; Molenaar, Peter C. M. – Psychometrika, 2002
Developed a method to determine the required number and position of sensors for human brain electromagnetic source analysis. Studied the method through a simulation study and an empirical study on visual evoked potentials in one adult male. Results indicate the method is fast and reliable and improves source precision. (SLD)
Descriptors: Adults, Brain, Research Methodology, Simulation
Peer reviewedYuan, Ke-Hai; Bentler, Peter M. – Psychometrika, 2002
Developed a sandwich-type covariance matrix to evaluate parameters and provide a rescaled statistic to evaluate a hypothesized general multilevel model. A simulation study with a two-level factor model implies that the rescaled statistic is preferable. (SLD)
Descriptors: Equations (Mathematics), Simulation, Statistical Distributions
Peer reviewedWang, Wen-Chung – Journal of Applied Measurement, 2000
Extended conventional two-group differential item function (DIF) analysis for dichotomous items to factorial DIF analysis for polytomous items where multiple grouping factors with multiple groups in each are analyzed jointly. Simulation studies and analysis of a real data set with 1,924 subjects show the parameters of the proposed modeling can be…
Descriptors: Groups, Item Bias, Models, Simulation
Peer reviewedHollman, Carolyn; Fleming, John P. – Bulletin of the Association for Business Communication, 1988
Describes a writing assignment requiring students to extract information from a simulated telephone conversation and construct a notice of an upcoming meeting. (JAD)
Descriptors: Business Communication, Simulation, Writing Instruction
Peer reviewedVaughan, Roger D.; Begg, Melissa D. – Journal of Educational and Behavioral Statistics, 1999
Explores two methods for the analysis of binary data, and presents a proposal for adapting these data to matched-pair data from school intervention studies. Evaluates the performance of the two methods through simulation and discusses conditions under which each method may be used. (SLD)
Descriptors: Elementary Secondary Education, Intervention, Simulation
Peer reviewedLi, Yuan H.; Lissitz, Robert W. – Applied Psychological Measurement, 2000
Evaluated three types of multidimensional item response theory (MIRT) linking methods through two simulation studies. Results indicate that the best MIRT linking method was an unbiased, effective, and consistent estimator that produced accurate estimates of transformation parameters when errors in estimation of item parameters were manipulated…
Descriptors: Equated Scores, Estimation (Mathematics), Simulation
Peer reviewedHak-sing Ip, Edward – Psychometrika, 2001
Provides a framework for viewing local dependency within dichotomous and polytomous items that are clustered by design and presents a testing procedure that allows researchers to identify individual item pairs that exhibit local dependency while controlling for a false positive rate. Simulation results indicate that the proposed method is…
Descriptors: Item Response Theory, Models, Simulation
Estimating R-squared Shrinkage in Multiple Regression: A Comparison of Different Analytical Methods.
Peer reviewedYin, Ping; Fan, Xitao – Journal of Experimental Education, 2001
Studied the effectiveness of various analytical formulas for estimating "R" squared shrinkage in multiple regression analysis, focusing on estimators of the squared population multiple correlation coefficient and the squared population cross validity coefficient. Simulation results suggest that the most widely used Wherry (R. Wherry,…
Descriptors: Regression (Statistics), Reliability, Simulation, Validity
Peer reviewedOshima, T. C.; Davey, T. C.; Lee, K. – Journal of Educational Measurement, 2000
Evaluated multidimensional linking procedures based on a framework recently proposed by T. Davey, T. Oshima, and K. Lee (1966): (1) the Direct method; (2) the Equated Function method; (3) the Test Characteristic Function method; and (4) the Item Characteristic Function method. Simulation results indicate advantages to the last two methods, but all…
Descriptors: Equated Scores, Simulation, Test Items
Peer reviewedZimmerman, Donald W.; Williams, Richard H. – Applied Psychological Measurement, 2000
Restricted the range of nonnormal distributions by eliminating scores above a designated cutoff value or eliminating scores above or below the mean by a certain distance. Results of a simulation study show that range restriction sometimes increased the correlation between variables having outlier prone distributions. Discusses practical…
Descriptors: Correlation, Scores, Simulation, Statistical Distributions
Peer reviewedTuerlinckx, Francis; De Boeck, Paul – Applied Psychological Measurement, 1999
Conducted a simulation study to determine how well two models for local item dependency, the constant order interaction and the dimension-dependent interaction models, could be distinguished. Results suggest that when there is good reason to suspect a dimension-dependent interaction, it is possible to detect it if the sample size is at least 500.…
Descriptors: Interaction, Models, Sample Size, Simulation
Peer reviewedAlsawalmeh, Yousef M.; Feldt, Leonard S. – Applied Psychological Measurement, 1999
Developed an approximate statistical test for the hypothesis of equality between the Spearman-Brown extrapolations of two independent values of Cronbach's alpha reliability coefficient. Monte Carlo simulations demonstrate that the procedure effectively controls Type I error. (SLD)
Descriptors: Monte Carlo Methods, Reliability, Simulation
Peer reviewedBaker, Frank B. – Applied Psychological Measurement, 1997
Describes an idiosyncracy of the MULTILOG (D. Thissen, 1991) parameter estimation process discovered during a simulation study involving the graded response model. A misordering reflected in boundary function location parameter estimates resulted in a large negative contribution to the true score followed by a large positive contribution. These…
Descriptors: Estimation (Mathematics), Simulation, True Scores


