Multistate models are often used in social research to analyze how individuals move between states. A typical application is the estimation of the lifetime spent in a certain state, like the lifetime spent in employment, or the lifetime spent in good health. Unfortunately, the estimation of such quantities is prone to several biases. In this…

With the recent proliferation of advanced artificial intelligence (AI) models capable of mimicking human artworks, AI creations might soon replace products of human creativity, although skeptics argue that this outcome is unlikely. One possible reason this may be unlikely is that, independent of the physical properties of art, we place great value…

Analysts seldom include interaction terms in their meta-regression model, which can introduce bias if an interaction is present. We illustrate this by reanalysing a meta-regression study in acute heart failure. Based on a total of 285 studies, the 1-year mortality rate related to acute heart failure is considered and the connection to the…

The subfield of Sociology of Education (SOE) concerned with the growth of neoliberalism through critically analysing its policies, discourses, and processes of subjectivation has made a significant contribution to education in the last 40 years. Whilst this scholarship has generated new knowledge about what happens to people, contexts and…

Purpose: Mental ill health is on the rise amongst undergraduate students and has been investigated using both positivist/quantitative and exploratory/qualitative research methods. However, the lived experiences of mature students who have mental ill health have not been directly investigated. A limited research literature suggests that challenges…

This article reports on the release of AI tools that can generate text, images, music, and video with no need for complicated coding but simply in response to instructions given in natural language. AI is also raising pressing ethical questions around bias, appropriate use, and plagiarism. In the realm of education, this technology will influence…

There has been a long-standing issue of sparse discussion forums participation in online learning, which can impede students' help seeking practices. Researchers have examined AI techniques such as link prediction with network analysis to connect help seekers with help providers. However, little is known whether these AI systems will treat…

Teachers' beliefs can have powerful consequences on instructional decisions and student learning. However, little research focuses on how teachers' beliefs about the role of race and gender in mathematics teaching and learning influence educational equity within classrooms. This gap is partly due to the lack of studies focused on variation within…

Background: Student evaluations of teaching (SETs) are used to assess faculty performance, but prior research has identified sources of bias in the completion and interpretation of SETs. Objective: We investigated how SET ratings and comments about quizzes are interpreted by faculty and undergraduates. Method: Participants made judgments about…

This study focuses on two early career academics learning their way into university teaching. Their narratives of learning to teach in the Canadian university system highlight the intersectionality of university neoliberal core values and the female experience. Using a comparative case study framework for analysis, this small qualitative study's…

We introduce and evaluate three tests for publication selection bias based on excess statistical significance (ESS). The proposed tests incorporate heterogeneity explicitly in the formulas for expected and ESS. We calculate the expected proportion of statistically significant findings in the absence of selective reporting or publication bias based…

First impressions can influence rater-based judgments but their contribution to rater bias is unclear. Research suggests raters can overcome first impressions in experimental exam contexts with explicit first impressions, but these findings may not generalize to a workplace context with implicit first impressions. The study had two aims. First, to…

Humans are often tasked to remember new faces so that they can recognize the faces later in time. Previous studies found that memory reports for basic visual features (e.g., colors and shapes) are susceptible to systematic distortions as a result of comparison with new visual input, especially when the input is perceived as similar to the memory.…

This study uses evidence from a longitudinal survey (PISA Plus, Germany) to examine the potential of bias in international large-scale assessments (ILSAs). In PISA Plus, participation was mandatory at the first measurement point, but voluntary at the second measurement point. The study provides evidence for relevant selection bias regarding…

Influence from bias is unavoidable in clinical decision-making, and mental health assessment seems particularly vulnerable. Individuals with intellectual disabilities have increased risk of developing co-occurring mental disorder. Due to the inherent difficulties associated with intellectual disabilities, assessment of mental health in this…