We use longitudinal data for the entire population of Norwegian PhD recipients over five decades to examine why only one-third of full professors in Norway are women, despite gender balance among current PhDs. We find that 90% of the lower female representation is due to lower female proportions in earlier PhD cohorts, increasing sizes of cohorts,…

Research on trans and LGBQ microaggressions on campuses and their consequences has grown, yet this literature is primarily from the United States and the effects of microaggressions on academic outcomes remain generally under-investigated. Trans/LGBQ microaggressions can negatively affect students' psychological well-being, which matters for their…

Multiple qualitative and quantitative studies have investigated homophobic language and its associated correlates. However, very few studies have approached this phenomenon from an ethnographic methodology. Furthermore, no studies to date have used an ethnography to study this language in a conservative religious community. In this study, the…

Women and underrepresented minority (URM) undergraduates declare and complete science, technology, engineering, and mathematics majors at different rates in comparison to majority groups. Explanations of these differences have long been deficit oriented, focusing on aptitude or similar characteristics, but more recent work focuses on institutional…

Online spaces have the capacity to be powerful informal learning and identity development spaces for marginalized communities. However, there is still much work to be done to uncover these complex social identities using ethical big data analyses. In this study, I draw on the theory of Knowledgeable Agents of the Digital, data feminism, and…

Gender and sexually diverse (GSD) students face unique challenges in schools due to the privileging of cisgender and heterosexist norms in these settings. In particular, GSD youth who belong to ethnically and racially minoritized groups face further challenges within school environments that disregard their cultural contexts and intersectional…

The purpose of this qualitative study was to examine, describe, and understand underrepresentation of Afro-Brazilian women faculty members in higher education. The study aimed to advance knowledge about this underrepresentation based on perspectives of eighteen participants who self-identified as Afro-Brazilian and as women working at the…

This self-study addresses the embedded racism experienced by a racialized female professor who taught in the USA during Trump's presidency. The article presents two incidents that reflect the emboldened racist behaviors and actions of teacher education students during the Trump administration. The study is based on the author's experiences as a…

Post-COVID educational planning demands an urgent re-evaluation of the inclusivity of our educational systems, now that almost 24 million learners, a majority of these girls and the poor in developing countries, are at the risk of dropping out. This paper explores the discursive inclusivity of some primary level textbooks used in government and…

The present paper examines a type of abstract domain-general knowledge required for the process of constructing useable domain-specific causal knowledge, the evident goal of causal learning. It tests the hypothesis that analytic knowledge of "causal-invariance decomposition functions" is essential for this process. Such knowledge…

To understand the experiences of the disabled in academia, a fully accessible and inclusive workshop conference was held in March 2018. Grounded in critical disability studies within a constructivist inquiry analytical approach, this article provides a contextualisation of ableism in academia garnered through creative data generation. The nuanced…

Inconsistency in real-world judgments can cause random unfairness, injustice and misallocation of resources. In their recent monograph Kahneman, Sibony, and Sunstein (2021) analyse judgment inconsistency or "Noise," examine its sources and propose remedies. In this commentary on Kahneman et al., we reflect on the major concepts (such as…

The Implicit Association Test (IAT) has been widely discussed as a potential measure of "implicit bias." Yet the IAT is controversial; research suggests that it is far from clear precisely what the instrument measures, and it does not appear to be a strong predictor of behavior. The presentation of this topic in Introductory Psychology…

Children begin interacting less across racial lines around middle childhood, but it remains unclear why. We examine the novel possibility that, at that time, children's prejudice theories--their understanding of prejudice as a fixed or malleable attribute--begin to influence their desire for interracial affiliation. We devise immersive behavioral…

Missing covariates is a common issue when fitting meta-regression models. Standard practice for handling missing covariates tends to involve one of two approaches. In a complete-case analysis, effect sizes for which relevant covariates are missing are omitted from model estimation. Alternatively, researchers have employed the so-called…