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Janice Kroeger; Holli Vah Seliskar – Anthropology & Education Quarterly, 2024
We describe our decision points to disclose parts of our personal selves while building trust with vulnerable populations in schools during ethnographic studies. Finding how our subjective identities were similar to and different than those of our participants helped us to better understand the participants' lives. We argue in this article that…
Descriptors: Interpersonal Relationship, Bias, Credibility, Self Disclosure (Individuals)
Louise Warwick-Booth; Ruth Cross; James Woodall – Evidence & Policy: A Journal of Research, Debate and Practice, 2024
Background: Despite literature recognising the huge potential of co-production as a positive approach to evidence creation, there is a dearth of evidence about how co-production principles can problematise knowledge exchange, specifically in evaluation work. Aims: To critically examine three evaluation projects commissioned by voluntary sector…
Descriptors: Evaluation, Power Structure, Evidence, Information Dissemination
Maria Adriana Neroni; Nathan Crilly; Maria Antonella Brandimonte – Journal of Creative Behavior, 2024
When faced with the need to transform an object, idea, or situation, people have a tendency to favor adding new components rather than removing existing ones. This is called the "additive bias." Previous research, along with historical and anecdotal examples, shows that this bias may significantly reduce problem-solving abilities and…
Descriptors: Association Measures, Associative Learning, Bias, Problem Solving
Nicholas M. Perez; Aldo Cimino – Journal of School Violence, 2024
Student hazing activities on American college campuses have resulted in numerous deaths reported in the news media. Despite regular reports on hazing-related fatalities, no research has examined how these deaths are reported. The current study aims to bridge this research gap by analyzing articles covering hazing deaths in the U.S. between 1994…
Descriptors: News Media, Trend Analysis, Hazing, Death
Florian Keusch; Paulina K. Pankowska; Alexandru Cernat; Ruben L. Bach – Field Methods, 2024
Data donation is a novel approach to collecting digital trace data, where users are asked to download their retrospective data from a platform and share them with the researchers. Little is known about the willingness to donate data and the potential bias that may arise from nonparticipation. We conducted a study among over 900 German Facebook…
Descriptors: Data Collection, Research Methodology, Information Dissemination, Social Media
Jill Fenton Taylor; Ivana Crestani – Qualitative Research Journal, 2024
Purpose: This paper aims to explore how an academic researcher and a practitioner experience scepticism for their qualitative research. Design/methodology/approach: The study applies Olt and Teman's new conceptual phenomenological polyethnography (2019) methodology, a hybrid of phenomenology and duoethnography. Findings: For the…
Descriptors: Qualitative Research, Phenomenology, Ethnography, Bias
Yang Bai; Yijie Wang; Bairen Ding – European Journal of Education, 2024
Empirical research conducted in numerous countries provides substantial evidence supporting the pivotal role of cultural capital in comprehending educational inequality. However, the operation of cultural capital varies across certain regions in East Asia due to distinct educational systems. This study integrates micro-level mechanisms of cultural…
Descriptors: Cultural Capital, Foreign Countries, Equal Education, Bias
František Bartoš; Maximilian Maier; Eric-Jan Wagenmakers; Franziska Nippold; Hristos Doucouliagos; John P. A. Ioannidis; Willem M. Otte; Martina Sladekova; Teshome K. Deresssa; Stephan B. Bruns; Daniele Fanelli; T. D. Stanley – Research Synthesis Methods, 2024
Publication selection bias undermines the systematic accumulation of evidence. To assess the extent of this problem, we survey over 68,000 meta-analyses containing over 700,000 effect size estimates from medicine (67,386/597,699), environmental sciences (199/12,707), psychology (605/23,563), and economics (327/91,421). Our results indicate that…
Descriptors: Publications, Selection, Bias, Meta Analysis
Jennifer Greif Green; Manuel Ramirez; Gabriel J. Merrin; Melissa K. Holt – School Mental Health, 2024
Bias-based (also called identity-based) harassment refers specifically to a subset of peer victimization that targets a person's identity, such as their gender identity, religion, immigration status, sexual orientation, race, or ethnicity. Research indicates that bias-based harassment is a particularly devastating form of victimization that has an…
Descriptors: Youth, Adolescents, Bias, Bullying
Rachel Moylan; Jillianne Code – Teachers and Teaching: Theory and Practice, 2024
Algorithmic systems shape every aspect of our daily lives and impact our perceptions of the world. The ubiquity and profound impact of algorithms mean that algorithm literacy--awareness and knowledge of algorithm use, and the ability to evaluate algorithms critically and exercise agency when engaging with algorithmic systems--is a vital competence…
Descriptors: Algorithms, Teacher Competencies, Digital Literacy, Knowledge Level
Soto, Alexis; Schoenlein, Melissa A.; Schloss, Karen B. – Cognitive Research: Principles and Implications, 2023
In visual communication, people glean insights about patterns of data by observing visual representations of datasets. Colormap data visualizations ("colormaps") show patterns in datasets by mapping variations in color to variations in magnitude. When people interpret colormaps, they have expectations about how colors map to magnitude,…
Descriptors: Concept Mapping, Visualization, Data Interpretation, Expectation
Skulmowski, Alexander – Mind, Brain, and Education, 2023
Cognitive load measurement is an important aspect of educational research. Current cognitive load surveys differentiate between intrinsic cognitive load (resulting from the complexity of learning materials) and their extraneous cognitive load (which is increased by a demanding design). In two studies, order effects of cognitive load subscales are…
Descriptors: Cognitive Processes, Difficulty Level, Measurement, Educational Research
Perrotta, Carlo – Learning, Media and Technology, 2023
This article proposes a pragmatic approach to data justice in education that draws upon Nancy Fraser's theory. The main argument is premised on the theoretical and practical superiority of a deontological framework for addressing algorithmic bias and harms, compared to ethical guidelines. The purpose of a deontological framework is to enable the…
Descriptors: Data, Justice, Algorithms, Bias
Walker, Jude – New Directions for Adult and Continuing Education, 2023
Climate change denial is often rooted in an array of conspiracy theories with climate change itself viewed by some as the real conspiracy. While not all of us are climate change conspiracy theorists, it is upsetting for most of us to learn and accept that our climate is changing, that it is primarily human-caused, and that it is harming people,…
Descriptors: Climate, Beliefs, Adoption (Ideas), Bias
Dudel, Christian; Schneider, Daniel C. – Sociological Methods & Research, 2023
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…
Descriptors: Models, Computation, Bias, Disabilities