Population-adjusted indirect comparison (PAIC) is an increasingly used technique for estimating the comparative effectiveness of different treatments for the health technology assessments when head-to-head trials are unavailable. Three commonly used PAIC methods include matching-adjusted indirect comparison (MAIC), simulated treatment comparison…

Recent usage of virtual reality (VR) technology in surgical training has emerged because of its cost-effectiveness, time savings, and cognition-based feedback generation. However, the quantitative evaluation of its effectiveness in training is still not thoroughly studied. This article demonstrates the effectiveness of a VR-based surgical training…

This research aims to compare the ability and item parameter estimations of Item Response Theory according to Maximum likelihood and Bayesian approaches in different Monte Carlo simulation conditions. For this purpose, depending on the changes in the priori distribution type, sample size, test length, and logistics model, the ability and item…

Chinese traditional art education plays a unique role in transmitting traditional culture and in developing social civilization but is limited by the monotony of the teaching model structure, its inflexibility in learning time and space, constraints in the teaching scale, and lack of immersive experience. This article discusses the application of…

The need to virtually collaborate across distributed locations has drastically increased. Developments such as the COVID-19 pandemic and new IT platforms like the metaverse have spurred a host of new immersive social applications that are accessed through head-mounted displays. This is expected to stimulate a surge in research on extended…

It is important to make car-drivers improve their way of looking for recognizing key objects or areas precisely. This study designs a system following such a motivation that distinguishes several areas in a display with weights of importance. A present proposing function for successful area detection offers drivers an opportunity to compare their…

With this article, we propose using a Bayesian multilevel latent class (BMLC; or mixture) model for the multiple imputation of nested categorical data. Unlike recently developed methods that can only pick up associations between pairs of variables, the multilevel mixture model we propose is flexible enough to automatically deal with complex…

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…

Simulation methodology has moved toward using different types of real-world scenario-based learning constructs to improve applied understanding of political science concepts and theories. This type of active learning has become popular in the upper divisions of undergraduate and graduate political science. This reflection addresses the variance in…

Although item response models have grown in popularity in many areas of educational and psychological assessment, there are relatively few applications of these models in experimental psychopathology. In this article, we explore the use of item response models in the context of a computerized cognitive task designed to assess visual working memory…

In item response theory (IRT) modeling, the Fisher information matrix is used for numerous inferential procedures such as estimating parameter standard errors, constructing test statistics, and facilitating test scoring. In principal, these procedures may be carried out using either the expected information or the observed information. However, in…

Frequentist methods have long dominated data analysis in quantitative second language (L2) research. Recently, however, several empirical fields have begun to embrace alternatives known as Bayesian methods. Using an open-source approach, we provide an applied, nontechnical rationale for Bayesian methods in L2 research. First, we compare the…

One of the primary goals of education is to ensure that learners can apply their acquired knowledge in various ways and under different circumstances. However, this expected "transfer" does not always occur and, therefore, the acquired knowledge cannot be flexibly employed in different contexts. One way to minimize this problem is to…

In this Insights essay, we propose a new concept of "offlineness" that builds on current language around digital practices, yet addresses an element of young people's experience that is not adequately represented in current research or educational discourse. This work is informed by a recent cross-national arts-based research project…

As the ubiquity of virtual work--and particularly virtual project teams--increases in the professional environment, management and other professional programs are increasingly teaching students skills related to virtual work. One of the most common forms of teaching virtual work skills is a virtual team project, in which students collaborate with…