Aberrant response has an important impact on item parameter estimation, individuals' evaluation, and other statistical analysis. There are various types of aberrant response behaviors in educational and psychological tests, like sleeping, guessing, and plodding. Random response is the most common one. The purpose of this research was to clarify…

A necessary skill that underpins all professional practice is noticing that which is salient. Noticing can be learned directly and indirectly through a variety of campus-based and placement activities. This paper suggests that developing a capacity for noticing is under conceptualised and underdeveloped in courses preparing students for the…

In this paper, we present a demonstration of Ohm's law on a spreadsheet. Students can perform an experiment of Ohm's law like they perform in laboratories. The only difference is that the apparatus is virtual. The students record readings of current through the circuit and potential difference across a resistor. A graph is drawn between I and V to…

Model selection is important in any statistical analysis, and the primary goal is to find the preferred (or most parsimonious) model, based on certain criteria, from a set of candidate models given data. Several recent publications have employed the deviance information criterion (DIC) to do model selection among different forms of multilevel item…

At first glance, scientific laboratory experiences might appear to be challenging to move to the cloud. Skeptics may point to sensory feedback limitations and inequivalence of student outcomes. However, emerging data increasingly provide evidence that scientific laboratory courses are not only amenable to online learning, but also can deliver…

This article reports an eye-movement experiment in which participants scanned continuous sequences of Landolt-Cs for target circles to examine the visual and oculomotor constraints that might jointly determine where the eyes move in a task that engages many of the perceptual and motor processes involved in Chinese reading but without lexical or…

The negative hypergeometric distribution is often not formally studied in secondary or collegiate statistics in contexts other than drawing cards without replacement. We present a different context with the potential of engaging students in simulating and exploring data.

There is limited research using small-scale simulation in applied behavior analysis. We used small-scale simulation to train firearm safety skills to 3- to 5-year-old children and assessed whether the skills generalized to the natural environment through in situ assessment. Three participants completed the training, and all participants learned…

The study presented in this article examined the impact of two simulation-based inference activities on students' understanding of p-values in a second undergraduate statistics course. In the study, students familiar with traditional inference methods used physical and computer simulations to estimate p-values. To examine students' conceptions…

There is a need for effect sizes that are readily interpretable by a broad audience. One index that might fill this need is [pi], which represents the proportion of scores in one group that exceed the mean of another group. The robustness of estimates of [pi] to violations of normality had not been explored. Using simulated data, three estimates…

Past research indicates that individuals respond adaptively to contextual factors in multiattribute choice tasks. Yet it remains unclear how this adaptation is cognitively governed. In this article, empirically testable implementations of two prominent competing theoretical frameworks are developed and compared across two multiattribute choice…

The DeGroot model has emerged as a credible alternative to the standard Bayesian model for studying learning on networks, offering a natural way to model naive learning in a complex setting. One unattractive aspect of this model is the assumption that the process starts with every node in the network having a signal. We study a natural extension…

Model selection is important in any statistical analysis, and the primary goal is to find the preferred (or most parsimonious) model, based on certain criteria, from a set of candidate models given data. Several recent publications have employed the deviance information criterion (DIC) to do model selection among different forms of multilevel item…

This pilot study investigated the effects of immersive virtual reality (VR) training on the classroom management ability of preservice teachers, the addition of real-time audio feedback as reinforcement and whether preservice teachers could apply their training in an actual classroom setting. We employed the Breaking Bad Behaviours' immersive VR…

As part of COVID-19 preparedness, a student-developed, Android-based app was used as a pre-laboratory learning aid for a molecular modeling laboratory in a first-year general chemistry course. A worksheet activity with trigger codes and questions related to spatial features of transition metal complexes was designed. Using the Transition Metal…