Many previous studies have focused on the aggressive homophobic discrimination and harassment that LGBTQ students face on college campuses, as well as measures taken to improve their situation. However, few studies have explored the unique forms of sexual and racial discrimination encountered by Black male homosexual and bisexual college students…

Despite a major increase in the range and number of software offerings now available to help researchers produce evidence syntheses, there is currently no generic tool for producing figures to display and explore the risk-of-bias assessments that routinely take place as part of systematic review. However, tools such as the R programming…

The status quo bias (SQB) is the tendency to prefer the current state of affairs. We investigated if experts (physicians) fall prey to the SQB when making decisions in their area of expertise and, if so, whether the SQB is reduced or amplified for experts compared to non-experts. We presented 302 physicians and 733 members of the general…

After the murder of George Floyd in 2020, conservatories and music colleges across the United Stated jumped on the trend of issuing statements condemning racism. Like corporations, universities, and other businesses forced to respond to the dual epidemics of COVID-19 and racist violence, the music profession devised antiracist policies and engaged…

Network meta-analysis (NMA) is a statistical technique for the comparison of treatment options. Outcomes of Bayesian NMA include estimates of treatment effects, and the probabilities that each treatment is ranked best, second best and so on. How exactly network topology affects the accuracy and precision of these outcomes is not fully understood.…

Content-based techniques for credibility assessment (Criteria-Based Content Analysis [CBCA], Reality Monitoring [RM]) have been shown to distinguish between experience-based and fabricated statements in previous meta-analyses. New simulations raised the question whether these results are reliable revealing that using meta-analytic methods on…

Finding an unfamiliar person in a crowd of others is an integral task for police officers, CCTV-operators, and security staff who may be looking for a suspect or missing person; however, research suggests that it is difficult and accuracy in such tasks is low. In two real-world visual-search experiments, we examined whether being provided with…

In four experiments, we tested whether 20-month-old infants are sensitive to violations of procedural impartiality. Participants were shown videos in which help was provided in two different ways. A main character provided help to two other agents either impartially, by helping them at the same time, or in a biased way, by helping one agent almost…

The school reliance on exclusionary discipline drives behavioral inequities and sustains the marginalization of youth in schools. The narratives of punishment often extend beyond the walls of the school system and may be reinforced by news media discourse. Never-the-less, the relationship between news media discourse and the school disciplinary…

Affect-biased attention is an important predictive factor of children's early socio-emotional development, possibly shaped by the family environment. Our study aimed to reveal children's temporal dynamic patterns of affect-biased attention by looking at time series of attention to emotional faces, individual differences in temporal dynamics, and…

In a range of settings, human operators make decisions with the assistance of automation, the reliability of which can vary depending upon context. Currently, the processes by which humans track the level of reliability of automation are unclear. In the current study, we test cognitive models of learning that could potentially explain how humans…

Background: Research suggests that many educators hold inaccurate or incomplete perceptions of poverty leading to stereotyping of students living in poverty. It is important for future teachers to understand more about the complexities of poverty so they can bridge gaps between misconceptions and understanding for their students, families, and…

Large-scale international achievement studies such as PISA have been widely used to study how educational inequality compares across countries. Yet the various different biases that may affect these estimates are often not considered or are poorly understood. In this paper we draw upon the total survey error framework to provide a case study of…

The public often makes judgements about schools and what happens within them, despite rarely setting foot inside of one. Prior research finds that the public relies on word-of-mouth, news media, and online resources that rate and rank schools in order to make decisions. Notably though, much of the existing literature predates the widespread usage…

Menstrual management is recognized as a critical issue for young people internationally. Relatively little published research explores issues pertaining to menstruation in school education. This paper is based on the results of an Australian survey of 5007 young women aged 13-25, which examined their experiences of menstruation and dysmenorrhea.…