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Aidoo, Eric Nimako; Appiah, Simon K.; Boateng, Alexander – Journal of Experimental Education, 2021
This study investigated the small sample biasness of the ordered logit model parameters under multicollinearity using Monte Carlo simulation. The results showed that the level of biasness associated with the ordered logit model parameters consistently decreases for an increasing sample size while the distribution of the parameters becomes less…
Descriptors: Statistical Bias, Monte Carlo Methods, Simulation, Sample Size
Jean-Francois, Sara – New England Journal of Higher Education, 2021
Last year, shortly after the murder of George Floyd, Ahmaud Arbery, and so many others, it seemed as if the world had finally opened their eyes to the everyday reality and fears of Black America. And yet, just after the anniversary of these murders, state legislation is seen in the headlines of various news sites attacking Critical Race Theory…
Descriptors: Race, Critical Theory, Consciousness Raising, Racial Bias
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Constante, Kevin; Cross, Fernanda L.; Piceno, Viviana; Medina, Michael A.; Rivas-Drake, Deborah – Developmental Psychology, 2021
Expecting discrimination in one's future occupation is known to have negative implications for adolescents' career pathways. However, little is known about how such discriminatory expectations emerge. The current contentious sociopolitical climate toward immigrants, especially those of Latinx heritage, has contributed to heightened discrimination…
Descriptors: Hispanic Americans, Adolescents, Racial Discrimination, Ethnic Groups
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Owen, Renee – Adult Learning, 2021
Implicit bias classes have become a common practice with the aim of creating more inclusive work and learning environments. Such classes are aimed at helping individuals identify unconscious habits of mind and behaviors around race, which can be a disorienting experience. By seeing such classes through the lens of transformative learning theory,…
Descriptors: Metacognition, Transformative Learning, Racial Bias, Job Training
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Applebaum, Barbara – Studies in Philosophy and Education, 2021
This paper critically examines some of the challenges that white educators who interrogate whiteness with white students encounter. Two specific dilemmas are addressed: Is one supporting white students' learning when one tries to teach from the place "where the student is" and/or is one colluding with whiteness by appeasing white…
Descriptors: White Teachers, White Students, Racial Factors, Teaching Methods
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Cheuk, Tina – Science Education, 2021
Assessment developers are increasingly using the developing technology of machine learning in transforming how to assess students in their science learning. I argue that these algorithmic models further embed the structures of inequality that are pervasive in the development of science assessments in how they legitimize certain language practices…
Descriptors: Artificial Intelligence, Educational Technology, Racial Bias, Science Education
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Jerrim, John – Review of Education, 2021
PISA is an influential international study of the achievement of 15-year-olds. It has a high profile across the devolved nations of the UK, with the results having a substantial impact upon education policy. Yet many of the technical details underpinning PISA remain poorly understood--particularly amongst non-specialists--including important…
Descriptors: Achievement Tests, Foreign Countries, Secondary School Students, International Assessment
Harney, John O. – New England Journal of Higher Education, 2021
Thirteen New England colleges and universities have signed on to New England Board of Higher Education's (NEBHE's) new North Star Collective (NSC), a multi-institutional collaborative to boost Black, Indigenous and People of Color (BIPOC) early-career faculty at New England colleges and universities. Built on a Reparative Justice Framework, NEBHE…
Descriptors: College Faculty, Racial Bias, Teacher Recruitment, Minority Group Teachers
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Flint, Maureen A. – Critical Studies in Education, 2021
In higher education, the place of the college campus, as a site of experiences, histories, symbols, and encounters, has important implications for student outcomes. However, the place of campus is often treated as a static or neutral site -- a black box within which student outcomes such as belongingness occur. This article argues that excavating…
Descriptors: Campuses, Colleges, Memory, Racial Bias
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Scott, Terrance M. – Preventing School Failure, 2021
While suspension continues to be a common response to student misbehavior in schools, evidence mounts for its ineffective and counterproductive results. Moreover, as the use of suspension increases, there is a tendency for it to be disproportionately applied to students of color and those with disabilities. Realizing that not all students are…
Descriptors: Suspension, Disproportionate Representation, Social Bias, Teacher Responsibility
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Amrein-Beardsley, Audrey; Close, Kevin – Educational Policy, 2021
Ongoing or recently completed across the United States are a series of lawsuits via which teacher plaintiffs are contesting how they are being evaluated using value-added models (VAMs) as part of states'/districts' teacher accountability systems. To investigate the empirical and pragmatic matters addressed in court, researchers conducted a case…
Descriptors: Value Added Models, Court Litigation, Teacher Evaluation, Reliability
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Mathur, Maya B.; VanderWeele, Tyler J. – Research Synthesis Methods, 2021
Selective publication and reporting in individual papers compromise the scientific record, but are meta-analyses as compromised as their constituent studies? We systematically sampled 63 meta-analyses (each comprising at least 40 studies) in "PLoS One," top medical journals, top psychology journals, and Metalab, an online, open-data…
Descriptors: Periodicals, Peer Evaluation, Bias, Meta Analysis
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Fernández-Castilla, Belén; Declercq, Lies; Jamshidi, Laleh; Beretvas, S. Natasha; Onghena, Patrick; Van den Noortgate, Wim – Journal of Experimental Education, 2021
This study explores the performance of classical methods for detecting publication bias--namely, Egger's regression test, Funnel Plot test, Begg's Rank Correlation and Trim and Fill method--in meta-analysis of studies that report multiple effects. Publication bias, outcome reporting bias, and a combination of these were generated. Egger's…
Descriptors: Statistical Bias, Meta Analysis, Publications, Regression (Statistics)
Data Quality Campaign, 2021
Data reflects a series of decisions made by people--and those decisions affect the story that data tells, what it captures, and how it can and should be used to inform decision-making. Because of this, mistrust in data is often the result of incomplete information and a lack of context. This resource breaks down what it means to build trust in…
Descriptors: Data Use, Data Collection, Data Analysis, Bias
Peterson, Jean Sunde; Peters, Daniel B. – Free Spirit Publishing, 2021
Many bright and gifted kids do not feel understood or supported. For adults wanting to change that, "Bright, Complex Kids" provides guidance for gaining entrance to their internal world. This practical and easy-to-use field guide includes ideas for how and why to: (1) listen and respond; (2) self-monitor adult biases; (3) avoid…
Descriptors: Social Emotional Learning, Child Development, Interpersonal Competence, Bias
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