Proposes a method for obtaining standard errors and confidence intervals of composite reliability coefficients based on bootstrap methods and using a structural-equation-modeling framework for estimating the composite reliability of congeneric measures (T. Raykov, 1997). Demonstrates the approach with simulated data. (SLD)

An account of grammatical acquisition is developed within the parameter setting framework applied to a generalized categorical grammar (GCG). Computational simulation shows that several resulting acquisition procedures are effective on a parameter set expressing major typological distinctions based on constituent order, and defining 70 distinct…

Presents a hierarchical Bayes approach to modeling parameter heterogeneity in generalized linear models. The approach combines the flexibility of semiparametric latent class models that assume common parameters for each subpopulation and the parsimony of random effects models that assume normal distributions for the regression parameters.…

A Rasch method is proposed to measure variables of nonadditive conjoint structures, where dichotomous response conditions are evaluated. In this framework, both the number of endorsed items and their latent positions are considered. The four steps of the method are explained and illustrated with simulated person responses. (SLD)

Assessed the robustness of an estimation method for multilevel and path analysis with hierarchical data proposed by B. Muthen (1989) with unequal groups and small sample sizes and in the presence of a low or high intraclass correlation. Simulation results show the effects of varying these conditions on the within-group and between-groups part of…

Studied the error associated with a proposed linking method for tests consisting of both constructed response and multiple choice items through a simulation study varying several factors. Results support the use of the proposed linking method. Also illustrated possible linking bias resulting from use of the traditional linking method and the use…

The Model United Nations simulation is an effective way to provide undergraduate business students with international and multicultural experiences. Students develop personal and technical skills such as researching, caucusing, negotiating, and consensus building. (SK)

There are many phenomenological benefits for students engaged in business simulation; a primary benefit is that the student has the opportunity to modify behavior in a realistic setting. Benefits may also be noted in the cognitive domain, and new skills can be transferred to the workplace. (Author/JOW)

Electronics students (16 controls, 16 experimentals) designed, built, and tested an amplifier. The experimentals did so after it was designed through computer simulation (using Electronics Workbench software). The experimental group performed significantly better on problem-solving tests; both groups did the same on drill and practice tests. (SK)

Showed how Taylor approximation can be used to generate a linear approximation to a logistic item characteristic curve and a linear ability estimator. Demonstrated how, for a specific simulation, this could result in the special case of a Robbins-Monro item selection procedure for adaptive testing. (SLD)

Conceptualized eight different types of measurement models for a test composed of testlets and studied the goodness of fit of those models to data using data from the Iowa Tests of Basic Skills and simulated data. The essentially tau-equivalent model and the congeneric model provided worse model fit than the other measurement models. (SLD)

Discusses the effectiveness of medical education and argues for the appropriate use of emerging technology in training. Suggests using a "marvelous machine" concept for trainees and continuing education working on computer-based simulations for a comprehensive practice experience. (Contains 26 references.) (YDS)

Used simulation to study the problem of missing item responses in tests and questionnaires when factor analysis is used to study the structure of the items. Factor loadings based on the EM algorithm best approximated the loading structure, with imputation of the mean per person across the scores for that person being the best alternative. (SLD)

Assessed the relative merits of the Student "t" test and the Wilcoxon rank sum test under four population distributions and six sample-size pairings through Monte Carlo methods. The Wilcoxon rank sum test demonstrated an advantage in statistical power for nonnormal distributions (but not normal distributions), with fewer Type III errors…

Evaluates a method for item selection in adaptive testing that is based on Kullback-Leibler information (KLI) (T. Cover and J. Thomas, 1991). Simulation study results show that testing algorithms using KLI-based item selection perform better than or as well as those using Fisher information item selection. (SLD)