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.…

This article proposes an extension to Kintsch's Construction-Integration (CI) model of text comprehension, which changes its mathematical implementation and emphasizes the connectionist features of the model. Specifically, the extension proposed here (a) simulates the learning process in a connectionist manner by making explicit changes in the…

In reading research, morphological processing and monomorphemic word identification have generally been treated separately. We describe a computational model that brings both kinds of reading together within a single framework. This model assumes that word knowledge-the orthography, phonology, and meaning of words-accumulates with experiences with…

Current controversy exists regarding the role of episodic representations in the formation of long-term semantic memories. Using the drug "midazolam" to induce temporary amnesia we tested participants' memories for newly learned facts in a semantic cue condition or an episodic and semantic cue condition. Following midazolam administration, memory…

This study examined whether online tool support for regulation promotes student learning during collaborative inquiry in a computer simulation-based learning environment. Sixty-one students worked in small groups to conduct a scientific inquiry with fluid dynamics. Groups in the experimental condition received a support tool with regulatory…

Hydrogen is a very important industrial gas in chemical processes. It is very volatile; therefore, it can escape from the process units and its mass balance is not always correct. In many industrial processes where hydrogen is reacted, kinetics are often related to hydrogen pressure. The right thermodynamic properties of hydrogen can be found for…

Popular methods for fitting unidimensional item response theory (IRT) models to data assume that the latent variable is normally distributed in the population of respondents, but this can be unreasonable for some variables. Ramsay-curve IRT (RC-IRT) was developed to detect and correct for this nonnormality. The primary aims of this article are to…

Bruce Robbins, an English teacher, has brought a fresh approach to teaching Shakespeare in the classroom by using a teaching method simulating with experience of the actors of the Elizabethan stage. A close attention to structure and individual words has helped the students to find cues from the text to enhance their understanding.