This qualitative descriptive study investigated the experiences and professional outcomes of novice registered nurses participating in professional development nursing simulations integrating worked examples, a cognitive load instructional design principle. Drawing upon cognitive load theory and the worked examples principle, the study addressed…

The Rasch model is commonly used to calibrate multiple choice items. However, the sample sizes needed to estimate the Rasch model can be difficult to attain (e.g., consider a small testing company trying to pretest new items). With small sample sizes, auxiliary information besides the item responses may improve estimation of the item parameters.…

Introduction: The adoption of simulation technologies in schools of nursing has increased significantly over the last 5 years. Results regarding the use of simulation technology have been positive. The use of simulation technologies has been developed to include complex nursing situations that resemble real clinical settings. Research has…

While the body of evidence supporting the use of simulation-based learning in the education of health professionals is growing, "how" or "why" simulation-based learning works is not yet understood. There is a clear need for evidence, grounded in contemporary educational theory, to clarify the features of simulation…

Background and Objectives: Graduates from undergraduate nursing programs report inadequate death education. Most death education is focused on end-of-life care and taught by lecture. Students are not provided opportunities to reflect on their own feelings about death. Due to lack of clinical nursing faculty and shortage of clinical sites, students…

The purpose of this research was to compare the equating performance of various equating procedures for the multidimensional tests. To examine the various equating procedures, simulated data sets were used that were generated based on a multidimensional item response theory (MIRT) framework. Various equating procedures were examined, including…

A simulation study was conducted to explore the performance of the linear logistic test model (LLTM) when the relationships between items and cognitive components were misspecified. Factors manipulated included percent of misspecification (0%, 1%, 5%, 10%, and 15%), form of misspecification (under-specification, balanced misspecification, and…

Many studies have been conducted to evaluate the performance of DIF detection methods, when two groups have different ability distributions. Such studies typically have demonstrated factors that are associated with inflation of Type I error rates in DIF detection, such as mean ability differences. However, no study has examined how the direction…

The Non-Equivalent groups with Anchor Test equating (NEAT) design is a widely used equating design in large scale testing that involves two groups that do not have to be of equal ability. One group P gets form X and a group of items A and the other group Q gets form Y and the same group of items A. One of the most commonly used equating methods in…

Small sample equating remains a largely unexplored area of research. This study attempts to fill in some of the research gaps via a large-scale, IRT-based simulation study that evaluates the performance of seven small-sample equating methods under various test characteristic and sampling conditions. The equating methods considered are typically…

A recent U.S. Department of Education (2009) meta-analysis concluded that blended learning may be better than either online or traditional lecture-based instruction. However, other research has shown that, for technology-enhanced instruction, learning outcomes are, at best, equal to traditional lecture-based instruction. Blended learning, when…