Previous research has established a possible link between recognition performance, individuation experience, and implicit racial bias of other-race faces. However, it remains unclear how implicit racial bias might influence other-race face processing in observers with relatively extensive experience with the other race. Here we examined how…

The conventional Q statistic, using estimated inverse-variance (IV) weights, underlies a variety of problems in random-effects meta-analysis. In previous work on standardized mean difference and log-odds-ratio, we found superior performance with an estimator of the overall effect whose weights use only group-level sample sizes. The Q statistic…

Markers of social class are communicated and interpreted through a diverse set of social practices. With the strategies presented here, teachers can recognize the signals of social class and work to interrupt implicit bias.

As low-stakes testing contexts increase, low test-taking effort may serve as a serious validity threat. One common solution to this problem is to identify noneffortful responses and treat them as missing during parameter estimation via the effort-moderated item response theory (EM-IRT) model. Although this model has been shown to outperform…

Background: In academic contexts, teachers' judgements are central to instruction and have many consequences for students' self-perceptions. Understanding the cognitive biases that may exist in teachers' judgements is thus of central importance. Aims: This paper presents two studies in which we aimed to investigate the presence of a halo effect in…

This study examines the public stigma of children with autism spectrum disorder (ASD) by their school-aged peers, focusing on both explicit and implicit attitudes. The twofold aims were to provide a broader picture of public stigma and to explore age-related changes in attitudes. Students completed an explicit measure of the public stigma and an…

The estimation of high-dimensional latent regression item response theory (IRT) models is difficult because of the need to approximate integrals in the likelihood function. Proposed solutions in the literature include using stochastic approximations, adaptive quadrature, and Laplace approximations. We propose using a second-order Laplace…

Judgments of learning (JOLs) play a fundamental role in helping learners regulate their study strategies but are susceptible to various kinds of illusions and biases. These can potentially impair learning efficiency, and hence understanding the mechanisms underlying the formation of JOLs is important. Many studies have suggested that both…

The use of the "traditional"/"nontraditional" binary when referring to students in the context of higher education (especially in the United States) is so firmly established and compulsory that even when we try to challenge the dualism we often fall short. I believe that this has even happened in the current call for…

In reaction to the murder of George Floyd this past summer, Marilee Bresciani Ludvik attended a university-wide teach-in designed to better equip us as a community to embody anti-racist behavior in and out of the classroom. It included first-person direct self-report narratives from two very successful African American female professors who shared…

This paper gives instructors of Introduction to American Politics a template for teaching about media bias, using the case of President Trump and his administration. I present material for a combination lecture/discussion, including (1) a framework for evaluating partisan bias in news content, (2) discussion questions that move sequentially from…

In this essay, Myron Jackson offers a critique of trigger warnings, safe spaces, and code-switching that is based on two grounds. First, these practices derive from ideals of assimilation and appropriation, and are therefore wedded to a logic of domination. Second, these practices promote fragility. Increased reliance on trigger warnings, safe…

As we take advantage of new technologies that allow us to streamline the coding process of large qualitative datasets, we must consider whether human cognitive bias may introduce statistical bias in the process. Our research group analyzes large sets of student responses by developing computer models that are trained using human-coded responses…

Bias and prejudice are well known aspects of all societies and political arenas. They motivate a wide variety of fear-mongering policies and seem to be deeply ingrained in the hearts and minds of people, interfering with their reasoning and better judgement. In this paper, I explore how bias and prejudice come about and how they can be put to more…

In an article published in an open-access journal, (Pennebaker et al. "PLoS One," 8(11), e79774, 2013) reported that an innovative computer-based system that included daily online testing resulted in better student performance in other concurrent courses and a reduction in achievement gaps between lower and upper middle-class students.…