Often, important decisions regarding accountability and placement of students in performance categories are made on the basis of test scores generated from tests, therefore, it is important to evaluate the validity of the inferences derived from test results. One of the threats to the validity of such inferences is aberrant responding. Several…

The ability to separate, identify, and quantify proteins from complex mixtures are key foundational methods across biochemistry teaching and research. In particular, enzyme-linked immunosorbent assay (ELISA) is an important technique that is used to measure antigen concentrations in both industry and academia. There are four categories of ELISA,…

A log-linear model (LLM) is a well-known statistical method to examine the relationship among categorical variables. This study investigated the performance of LLM in detecting differential item functioning (DIF) for polytomously scored items via simulations where various sample sizes, ability mean differences (impact), and DIF types were…

Dark matter comprises most of the matter in the universe, yet physicists are unsure of its nature. A significant effort is devoted in contemporary research to attempts to understand dark matter, making it a both captivating and relevant area of astrophysics to discuss in a classroom setting. What is more, the physics behind these experiments is…

This brief is one in a series aimed at providing K-12 education decision makers and advocates with an evidence base to ground discussions about how to best serve students during and following the novel coronavirus pandemic. Student teaching placements influence teacher effectiveness. If student teaching experiences are constrained by the pandemic,…

Multidimensional item response theory (MIRT) models have generated increasing interest in the psychometrics literature. Efficient approaches for estimating MIRT models with dichotomous responses have been developed, but constructing an equally efficient and robust algorithm for polytomous models has received limited attention. To address this gap,…

Courses: Conflict communication, negotiation, small group. Objective: This activity will enhance students' awareness and critique of their own negotiation behaviors. A list of references and suggested readings is included.

Construction project productivity typically lags other industries and it has been the focus of numerous studies in order to improve the project performance. This research investigated the application of Radio Frequency Identification (RFID) technology on construction projects' supply chain and determined that RFID technology can improve the…

Recurrent event data arise frequently in various fields such as biomedical sciences, public health, engineering, and social sciences. In many instances, the observation of the recurrent event process can be stopped by the occurrence of a correlated failure event, such as treatment failure and death. In this article, we propose a joint scale-change…

The Monte Carlo method is one of the basic simulation statistical methods which can be used both to demonstrate basic probability and statistical concepts as well as to analyse the behaviour stochastic models. The introduction part of the article provides a brief description of the Monte Carlo method. The main part of the article is concentrated…

Process mining methodologies are designed to uncover underlying business processes, deviations from them, and in general, usage patterns. One of the key limitations of these methodologies is that they struggle in cases in which there is no structured process, or when a process can be performed in many ways. Learning Management Systems are a…

The authors examine family and consumer sciences (FCS) education. Titles in the article include: (1) Same-sex Marriage, Monogamy, Technology among Hot Topics in Family Studies (Scott S. Hall); (2) Dialogue Needed To Address Diversity, Divisiveness, Technology (Carol L. Anderson); (3) Use of Simulation in Dietetic Student Learning (Stephanie Rogus…

In this article, a numerical method integrated with statistical data simulation technique is introduced to solve a nonlinear system of ordinary differential equations with multiple random variable coefficients. The utilization of Monte Carlo simulation with central divided difference formula of finite difference (FD) method is repeated n times to…

Active learning techniques are being use with increasing frequency in the classroom and more time is being dedicated to designing and implementing them. However, the literature still suffers from a lack of rigorous empirical methods to test the effects of simulations. Most of the claimed benefits of utilizing simulations, and other active learning…

Context: Simulations are commonly used in medical education to facilitate instructional and assessment experiences for learners. Standardized patients (SPs) are a form of simulation with actors trained to present conditions that occur in health care. The most important feature in simulation-based education is feedback; one form of group feedback…