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.…

A Monte Carlo simulation examined the Type I error rates and power of four tests of the null hypothesis that a correlation matrix equals the identity matrix. The procedure of C. J. Brien and others (1984) was found to be the most powerful test maintaining stable empirical alpha values. (SLD)

Examines the literature on marketing and uses the four elements of product, price, place, and promotion to elicit guidance for those who wish to market educational games, simulations, and workshops. Devising a marketing strategy centered on the customer is discussed, and the distinction between goods and services is described. (11 references)…

A general dichotomous condition is derived for the unidimensional polytomous Rasch model. The robustness of the dichotomous analysis is investigated in a simulation study. The model shows a close relation with the two-parameter Birnbaum model. (TJH)

Presents a student simulation activity based on the dideoxy chain termination method of determining the nucleotide sequence of DNA fragments developed in 1977 by Fred Sanger. (JRH)

A similarity-based smoothing approach to nondimensional item analysis was studied. Simulated and actual data are presented to show that when responses are determined by a latent ability variable, this similarity-based smoothing procedure can reveal the dimensionality of ability satisfactorily. (SLD)

Presents a simulation game that facilitates understanding of the concepts of enzyme kinetics and inhibition. The first part of the game deals with the relationship between enzyme activity and substrate concentration while the second part deals with characterization of competitive and noncompetitive inhibition of enzyme activity. (JRH)