NotesFAQContact Us
Collection
Advanced
Search Tips
Showing 76 to 90 of 38,868 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Shuliang Bai; Lele Chen; Peibing Liu; Renlai Zhou – Psychology in the Schools, 2025
This study examined whether Chinese adolescents with test anxiety exhibit threat interpretation bias, and how temperament moderates in this relation. A sample of adolescents (n = 1210, mean = 12.27 years of age) were recruited to complete online questionnaires assessing test anxiety, threat interpretation bias, and temperament. Correlation and…
Descriptors: Adolescents, Test Anxiety, Foreign Countries, Bias
Peer reviewed Peer reviewed
Direct linkDirect link
Tristan Bunnell; Alexander Gardner-McTaggart – Educational Studies, 2025
By 2022 there were over 13,000 private schools worldwide classified as delivering a non-national curriculum in English outside an English-speaking nation. Reports on the diversity of senior leaders of the "premium traditional international school" has always revealed a Western men bias although little has been reported about race. We…
Descriptors: International Schools, Leadership, Administrator Characteristics, Whites
Peer reviewed Peer reviewed
Direct linkDirect link
Joseph H. Grochowalski; Lei Wan; Lauren Molin; Amy H. Hendrickson – Journal of Educational Measurement, 2025
The Beuk standard setting method derives cut scores through expert judgment that balances content and normative perspectives. This study developed a method to estimate confidence intervals for Beuk settings and assessed their accuracy via simulations. Simulations varied SME panel size, expert agreement, cut score locations, score distributions,…
Descriptors: Cutting Scores, Standard Setting, Accuracy, Statistical Bias
Peer reviewed Peer reviewed
Direct linkDirect link
Muwon Kwon; Peter M. Steiner – Society for Research on Educational Effectiveness, 2025
Background: Double/debiased machine learning (DML) methods have been proposed to overcome the regularization bias from the naive approach of ML methods (Chernozhukov et al., 2018). DML methods use a partialling-out approach which removes the effect of confounders from both the treatment and outcome and then regresses the residualized outcome on…
Descriptors: Artificial Intelligence, Statistical Analysis, Computation, Inferences
Peer reviewed Peer reviewed
Direct linkDirect link
Mollie McQuillan; Cris Mayo – Educational Administration Quarterly, 2024
Purpose: If PK12 administrators aspire to interrupt bias-based bullying, they need to understand their role in perpetuating structural and social inequality. The purpose of this study was to examine administrators': 1) awareness of gender-based bullying, 2) initial intentions to address bullying, and 3) actions that interrupted or perpetuated…
Descriptors: Bullying, Gender Bias, Social Bias, LGBTQ People
Peer reviewed Peer reviewed
Direct linkDirect link
Allison Kurpiel – Journal of School Violence, 2024
A vast literature examines the negative effects of school victimization. However, there are few studies comparing the impacts of biased and nonbiased victimization. Extant research also rarely assesses the impacts of experiencing multiple types of biased victimization. This study used nationally representative U.S. data (N = 2,241) to examine the…
Descriptors: Victims, Physical Health, Self Esteem, Interpersonal Relationship
Peer reviewed Peer reviewed
Direct linkDirect link
Laura Vernikoff; Emilie Mitescu Reagan – Review of Research in Education, 2024
Quantitative education research is often perceived to be "objective" or "neutral." However, quantitative research has been and continues to be used to perpetuate inequities; these inequities arise as both intended effects and unintended side effects of traditional quantitative research. In this review of the literature, we…
Descriptors: Educational Research, Educational Researchers, Research Methodology, Research Problems
Peer reviewed Peer reviewed
Direct linkDirect link
Astrid M. C. Jehle; Marleen G. Groeneveld; Tessa M. van de Rozenberg; Judi Mesman – European Journal of Education, 2024
This cross-national European comparison examined gender representation and stereotypes in mathematics and language textbooks from Germany, Italy, Lithuania, the Netherlands and Romania. The results showed that female characters were numerically underrepresented. Female characters were also less often a main character or individually portrayed…
Descriptors: Foreign Countries, Textbooks, Textbook Content, Textbook Evaluation
Patricia S. Anderson – ProQuest LLC, 2024
This research probed into women's challenges and biases in leadership positions within male-dominated federal government agencies in the United States. This qualitative Interpretive Phenomenological Analysis (IPA) methodology builds on Bishop's (2022) groundwork, "The Female Leadership Gap: Breaking Down the Biases and Barriers of Women in…
Descriptors: Women Administrators, Females, Barriers, Public Agencies
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Kaylianne Aploon-Zokufa – South African Journal of Childhood Education, 2024
Background: South African narratives of and by early childhood development (ECD) practitioners often focus on policies, practices and perspectives in research. While these are important for the development of the field, the voices of ECD practitioners, in this marginalised space, are silent. Aim: This article aims to understand: Who are the ECD…
Descriptors: Foreign Countries, Early Childhood Teachers, Poverty, Blacks
Peer reviewed Peer reviewed
Direct linkDirect link
Busey, Christopher L.; Gainer, Jesse – Urban Review: Issues and Ideas in Public Education, 2022
Early adolescents go through developmental changes which are also mediated through social and structural forces that reproduce stratifying hierarchies around race, class, gender, and sexuality. Despite the intersection of early adolescent development with social and institutional forces, critical concepts such as race are often omitted in general…
Descriptors: Early Adolescents, Adolescent Development, Racial Bias, Social Bias
Peer reviewed Peer reviewed
Direct linkDirect link
Guilherme, Alexandre A.; de Lara Machado, Wagner; Monteiro Sanchez, Guilherme; de Oliveira Rosa, Leticia – Policy Futures in Education, 2023
In this paper, we discuss the development and initial validation of an instrument, namely IV-SOPRA (Index of Violence Suffered and Practiced), measuring levels of violence suffered and practiced by students in Higher Education institutions; thus, seeking to advance research into the issue of violence connected to Higher Education. Participants are…
Descriptors: Test Construction, Test Validity, Measures (Individuals), Violence
Peer reviewed Peer reviewed
Direct linkDirect link
S. Henry Sherwood; Alberto Amadori; Stephen T. Russell; Salvatore Ioverno – Child Development, 2025
This study examined school outness, school climate, and country inclusivity to assess their associations with bias-based bullying and cyberbullying among sexual and gender minority youth (SGMY) in Europe in 2020-2021 (N = 12,764; M[subscript age] = 16.07; 69% female; 43% cisgender girls; 31% bisexual). Outness was positively related to bias-based…
Descriptors: Outcomes of Education, Educational Environment, Foreign Countries, Social Bias
Peer reviewed Peer reviewed
Direct linkDirect link
Mohandas, Sid – Gender and Education, 2022
In the past few decades important work has been undertaken to unsettle essentialist conceptualisations of gender/sex in the early years workforce. Through an auto/ethnographic diffractive engagement that thinks with feminist 'new' materialist and postcolonial scholarships, this paper uncovers the need to move beyond an exclusive focus on…
Descriptors: Gender Bias, Sex Stereotypes, Equal Opportunities (Jobs), Preschool Education
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Szasz, Teodora; Harrison, Emileigh; Liu, Ping-Jung; Lin, Ping-Chang; Runesha, Hakizumwami Birali; Adukia, Anjali – Grantee Submission, 2022
Images in children's books convey messages about society and the roles that people play in it. Understanding these messages requires systematic measurement of who is represented. Computer vision face detection tools can provide such measurements; however, state-of-the-art face detection models were trained with photographs, and 80\% of images in…
Descriptors: Childrens Literature, Books, Artificial Intelligence, Race
Pages: 1  |  2  |  3  |  4  |  5  |  6  |  7  |  8  |  9  |  10  |  11  |  ...  |  2592