Studied whether a group's average percent correct in a content domain could be accurately estimated for groups taking a single test form and not the entire domain of items. Evaluated six Item Response Theory-based domain score estimation methods through simulation and concluded they performed better than observed score on the form taken. (SLD)

Investigated the relationship between sample size, latent trait distribution, and item parameter estimation with the nominal response model through simulation. Results suggest guidelines for reasonable item parameter estimation. (SLD)

Studied the effect of including nonindependent correlations in the meta-analysis method of J. Hunter and F. Schmidt on the estimated population standard deviation. Evaluation indicates that the Hunter and Schmidt method will underestimate the true population standard deviation. Developed new methods to correct for this and illustrated the methods…

Studied the use of the person response function (PRF) for identifying nonfitting item score patterns. Proposed a person-fit method reformulated in a nonparametric item response theory (IRT) context. Conducted a simulation study to compare the use of the PRF with a person-fit statistic, resulting in the conclusion that the PRF can be used as a…

Discusses the use of simulation in medical education at all levels and describes how role play, standardized patients, computer, videotape, and mannequin simulations are integrated into the educational curricula for medical students and physicians. Discusses advantages and disadvantages of simulation and barriers to the use of simulation.…

Compared the performance of three methods of assessing differential item functioning (DIF) across demographic groups, using: (1) the Mantel-Haenszel chi-square statistic with no adjustment to the alpha level; (2) the Mantel-Haenszel statistic with a Bonferroni adjusted alpha level; and (3) the generalized Mantel-Haenszel statistic. Simulation…

Evaluated the performance of several alternative cluster analytic approaches to initial model specification using population parameter analyses and a Monte Carlo simulation. Of the six cluster approaches evaluated, the one using the correlations of item correlations as a proximity metric and average linking as a clustering algorithm performed the…

Used Monte Carlo simulation to examine the performance of four missing data methods in structural equation models: (1)full information maximum likelihood (FIML); (2) listwise deletion; (3) pairwise deletion; and (4) similar response pattern imputation. Results show that FIML estimation is superior across all conditions of the design. (SLD)

Objective: To pilot and test the feasibility of a novel technology to reduce anxiety and pain associated with an invasive medical procedure in children with cancer. Method: Children with cancer (ages 7-19) whose treatment protocols required access of their subcutaneous venous port device (port access) were randomly assigned to a virtual reality…

Objective: Adolescents with attention-deficit/hyperactivity disorder (ADHD) are at high risk for driving accidents. One dose of methylphenidate (MPH) improves simulator driving performances of ADHD-diagnosed adolescents at 1.5 hours post-dose. However, little is known about the effects of different MPH delivery profiles on driving performance…

The sum score is often used to order respondents on the latent trait measured by the test. Therefore, it is desirable that under the chosen model the sum score stochastically orders the latent trait. It is known that unlike dichotomous item response theory (IRT) models, most polytomous IRT models do not imply stochastic ordering. It is unknown,…

Two generalizations of the Rasch model are compared: the between-item multidimensional model (Adams, Wilson, and Wang, 1997), and the mixture Rasch model (Mislevy & Verhelst, 1990; Rost, 1990). It is shown that the between-item multidimensional model is formally equivalent with a continuous mixture of Rasch models for which, within each class…

The asymptotic standard deviation (SD) of the alpha coefficient with standardized variables is derived under normality. The research shows that the SD of the standardized alpha coefficient becomes smaller as the number of examinees and/or items increase. Furthermore, this research shows that the degree of the dependence of the SD on the number of…

Not long after he completed his Ph.D. at the University of Michigan, Mike Van Lent used his interest in videogames and artificial intelligence to land a research professorship at the University of Southern California (USC). There he edits the Journal of Game Development and conducts studies for the Institute for Creative Technologies, a $45…

Efforts to merge popular digital games with education seem to rev up with every new generation of technology. The latest came last October, when game developers, researchers, and educators came together in a meeting to explore whether digital games' powerful attraction for young people could be used to pull them deeper into academic learning.…