Describes how a handful of institutions are experimenting with computer simulations to offer hard science labs through distance education. (EV)

Proposes a social constructivist adaptation of case-based reasoning (CBR) by incorporating computer-supported collaborative learning tools into the thinking and reasoning process. Explains goal-based scenarios (GBS) as translations of CBR into simulated learning environments and discusses the incorporation of facilitation cues and the inclusion of…

Derived a confidence interval for a ratio of correlated mean absolute deviations. Simulation results show that it performs well in small sample sizes across realistically nonnormal distributions and that it is almost as powerful as the most powerful test examined by R. Wilcox (1990). (SLD)

Recent simulations have shown that, for a given sample size, the Mantel-Haenszel (MH) variances tend to be larger when items are administered to randomly selected examinees than when they are administered adaptively. Results suggest that adaptive testing may lead to more efficient application of MH differential item functioning analyses. (SLD)

Although transformational training involving simulations, games, experiential exercises, and educational programs can have dramatic impact on individuals, it often eludes assessment through conventional measurement methods. This article presents results from two training settings evaluated with an holistic projective differential technique…

Of 98 8-18 year olds, 47 were taught livestock evaluation skills (conformance and performance) using live horses and 51 using video simulation. There were no significant differences related to teaching technique. Older students (12-18) learned conformance judging skills more quickly than younger ones. Audiovisual aids were considered effective for…

Explores posterior analysis in estimating factor score in a confirmatory factor analysis model with polytomous, censored or truncated data, and studies the accuracy of Bayesian estimates through simulation. Results support these Bayesian estimates for statistical inference. (SLD)

This study compared the Mantel-Haenszel procedure, the simultaneous item bias approach (SIB), and the logistic regression approach (LR) with respect to Type I error rates and power to detect nonuniform differential item functioning (DIF). The SIB and LR procedures were equally powerful in detecting nonuniform DIF. (SLD)

Investigated the impact of categorization on confirmatory factor analysis parameter estimates, standard errors, and five ad hoc fit indexes through simulation studies. Results replicate some previous studies but also suggest that tests of parameter estimates will be underestimated and the amount of underestimation will increase as saturation…

Describes how the Center for Innovative Learning Technologies (CILT) helped VisMod evolve from a collection of local and distinct research and development efforts into a solid field of education. (Author/YDS)

Presents an alternative approach to DNA fingerprinting. Demonstrates how undergraduate students can be involved in many aspects of this type of experiment and how DNA fingerprinting experiments can be incorporated into the laboratory curriculum of courses for majors and nonmajors. (NB)

Studied whether the theoretical sampling distribution of the U3 person-fit statistic is in agreement with the simulated sampling distribution under different item response theory models and varying item and test characteristics. Simulation results suggest that the use of standard normal deviates for the standardized version of the U3 statistic may…

This manuscript traces the history of computer technologies, their applications in mental health settings, and suggests that transcultural counselor educators engage their students in the design of a case-based computer simulation. The avatar-focused simulation offers an unprecedented environment for experimentation in collaborative learning and…

Investigates the commonly suggested rounding rule for addition and subtraction including its derivation from a basic assumption. Uses Monte-Carlo simulations to show that this rule predicts the minimum number of significant digits needed to preserve precision 100% of the time. (Author/KHR)