Discussion pf the stress associated with the educational use of games and simulations focuses on a study of graduate students that used the Myers-Briggs Type Indicator to determine that people with certain personality types experience stress at different intensities. Also found that all participants, regardless of personality type, needed…

Studied the performance of rank (percentile) estimators in a basic two-stage hierarchical model capturing essential features of more complicated models commonly used to estimate effects. Simulation results highlight the need to assess whether even optimal percentile estimators perform sufficiently well to be used to evaluate teachers or schools.…

A Monte Carlo simulation was conducted to study the Type I error rate and power of the 1994 approximation developed by R. A. Alexander and D. M. Govern as an alternative to the analysis of variance "F" test. Conditions under which this test is the best approach are discussed. (SLD)

Although technical developments have occurred in the design and use of business simulations for management training, other changes are needed to keep them relevant. Design of simulations should address current and future trends in the workplace and skills that will be needed by managers. (SK)

Simulation results show that the power to detect small mean differences when fitting a model with free residual variances across groups decreases as the difference in R squared increases. This decrease is more pronounced in the presence of correlated errors and if group sample sizes differ. (SLD)

Reexamined the nature of structural equation modeling (SEM) estimates of autoregressive moving average (ARMA) models, replicated the simulation experiments of P. Molenaar, and examined the behavior of the log-likelihood ratio test. Simulation studies indicate that estimates of ARMA parameters observed with SEM software are identical to those…

Introduces the Rater Bundle Model, an item response model for repeated ratings of student work. Applies the model to real and simulated data to illustrate the approach, which was motivated by the observation that when repeated ratings occur, the assumption of conditional independence is violated, and current item response models can then…

Investigated the data demands associated with the marginal maximum likelihood (MML) expected a posterior (EAP) methodology and the precision of the resulting parameter estimates when data fit the underlying model through simulation. Also studied the extent to which a misspecified prior distribution would affect the item and person parameter…

Reports results of a controlled experiment to evaluate the effectiveness and efficiency of a learning process that takes place in a dynamic computer-based simulation, done with and without recording and accessing the history of the learning process. Discusses findings with respect to the self-learning process and using simulators in electronic…

Simulated items from two test forms using joint maximum likelihood estimation (JMLE) and marginal maximum likelihood estimation (MML) in the vertical equating situation (using an anchor test) when data were nonrandomly missing. Under MML, when the different ability parameters of students were not taken into account, the item difficulty parameters…

Conducted a simulation study of separate versus concurrent item parameter estimation in common item equating using simulation data from a test with 60 dichotomous items and considering: (1) estimation program; (2) sample size per form; (3) number of common items; and (4) equivalent versus nonequivalent groups. Results are not decisive enough to…

Presents an overview of the benefits of applying multimedia technology to redesign and invigorate the career-long performance assessment and professional learning of school leaders. Focuses on the Administrator Case Simulation Multimedia Library (Texas Tech University) as a means of principal assessment and development. (SLD)

Implemented a Bayesian factor analysis model to formulate estimators of the hyper-parameters. Simulation results lead to the proposal of new bias-corrected estimates of factor loadings. (SLD)

Studied the use of different weighting techniques in structural equation modeling and found, through simulation, that the use of an effective sample size weight provides unbiased estimates of key parameters and their sampling variances. Also discusses use of a popular normalization technique of scaling weights. (SLD)

Discussion of information overload focuses on a study of masters degree students at a Hong Kong university that investigated the effectiveness of graphs as decision aids to reduce adverse effects of information overload on decision quality. Results of a simulation of a business prediction task with a sample of business managers are presented.…