Prevalence and predictive factors in assessing alcohol use in the United States are understudied. This study addresses a population which has not been studied extensively in the U.S. The purpose of this study was to explore how acculturative stress, model-minority stereotype, gender, and religiosity predict alcohol use frequency in Punjabi Sikhs…

In the age of "Make America Great Again" and "Build that wall," there have been many voices contributing to the discussion of what it means to be American. The process for becoming a U.S. citizen provides an interesting checkpoint for exploring messages regarding Americanism. Building on previous scholarship on the U.S.…

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…

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…

This critical content analysis of 116 award-winning English language picture storybooks explores depictions of families in order to identify and question dominant family models. Representations of families must be considered in any diversity analysis to ensure all children are capable of seeing families as they appear in communities. The objective…

This study explores how the figured world of school science is influenced by macro level discourses of science, education, race, and gender that are circulated in society and perpetuated through schooling. It also examines how the figured world of school science defines limited means of recognition, both positive and negative, for African American…

Cutting-edge data science techniques can shed new light on fundamental questions in educational research. We apply techniques from natural language processing (lexicons, word embeddings, topic models) to 15 U.S. history textbooks widely used in Texas between 2015 and 2017, studying their depiction of historically marginalized groups. We find that…

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…