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Yi, Zhihui; Schreiber, James B.; Paliliunas, Dana; Barron, Becky F.; Dixon, Mark R. – Journal of Behavioral Education, 2021
The recent commentary by Beaujean and Farmer (2020) on the original paper by Dixon et al. (2019) serves a cautionary tale of selective p-values, the law of small N sizes, and the type-II error. We believe these authors have crafted a somewhat questionable argument in which only 57% of the original Dixon et al. data were re-analyzed, based on a…
Descriptors: Research Problems, Data Analysis, Statistical Analysis, Probability
Schneider, Jack; Gottlieb, Derek – Educational Theory, 2021
State and federal policymakers "see" school performance via formal measures -- data collected with attendance sheets and standardized tests. Such an approach, though not without its merits, is extremely limited and inherently exposed to the threat of systematic misperception and unintended consequences, especially as policymakers try to…
Descriptors: Accountability, Education, Governance, Educational Assessment
Foster, Robert C. – Educational and Psychological Measurement, 2021
This article presents some equivalent forms of the common Kuder-Richardson Formula 21 and 20 estimators for nondichotomous data belonging to certain other exponential families, such as Poisson count data, exponential data, or geometric counts of trials until failure. Using the generalized framework of Foster (2020), an equation for the reliability…
Descriptors: Test Reliability, Data, Computation, Mathematical Formulas
Fleming, Jesse I.; Wilson, Sarah Emily; Hart, Sara A.; Therrien, William J.; Cook, Bryan G. – Educational Psychologist, 2021
Openness is a foundational principle in science. Making the tools and products of scientific research openly accessible advances core aims and values of education researchers, such as the credibility, equity, impact, and efficiency of research. The digital revolution has expanded opportunities for providing greater access to research. In this…
Descriptors: Access to Information, Educational Research, Data, Problems
Lechner, Verena Elisabeth – Journal of Visual Literacy, 2021
For creating and reading data visualizations, visual literacy is crucial. This article advances the knowledge about graphical variations and conventions related to the basic graphical element of the graphical line used as a connector in data visualizations. Some visual characteristics of connecting lines can be used to show directionality and thus…
Descriptors: Visual Aids, Data, Visual Literacy, Narration
Fawcett, Darcy – set: Research Information for Teachers, 2019
This Assessment News article introduces readers to a statistical approach to making sense of student assessment data in order to help teachers understand whether or not changes in practice have made a difference to learning. It Worked! is the brainchild of Darcy Fawcett, HoD Science at Gisborne Boys' High School, and Across-School Teacher for the…
Descriptors: Data Analysis, Data Use, Evidence Based Practice, Communities of Practice
Makar, Katie; Fry, Kym; English, Lyn – ZDM: Mathematics Education, 2023
Much of the mathematics that children experience in school neglect the skills increasingly needed for citizenship, particularly the power of complex data to investigate and make sense of the world. We draw on the relatively new field of data science as a multi-disciplinary approach to investigate problems through analysis of massive, non-standard,…
Descriptors: Elementary School Students, Citizenship Education, Data Science, Mathematics Education
National Center for Education Statistics, 2023
The Civil Rights Data Collection (CRDC), formerly known as the Elementary and Secondary School Civil Rights Survey, is a part of the U.S. Department of Education's (ED's) Office for Civil Rights (OCR) strategy for administering and enforcing civil rights laws in U.S. public school districts and schools, including Puerto Rico.The CRDC collects a…
Descriptors: Civil Rights, Student Rights, Data, Information Utilization
Kastberg, David; Murray, Gordon; Ferraro, David; Arieira, Carlos; Roey, Shep; Mamedova, Saida; Liao, Yuqi – National Center for Education Statistics, 2021
The Program for International Student Assessment Young Adult Follow-up Study (PISA YAFS) is a follow-up study with students who participated in PISA 2012 in the United States. The study is designed to measure how performance on PISA 2012 relates to subsequent measures of outcomes and skills of young adults on an online assessment, Education and…
Descriptors: Foreign Countries, Achievement Tests, Secondary School Students, Young Adults
Jennifer L. Chiu; James P. Bywater; Tugba Karabiyik; Alejandra Magana; Corey Schimpf; Ying Ying Seah – Journal of Science Education and Technology, 2024
Despite an increasing focus on integrating engineering design in K-12 settings, relatively few studies have investigated how to support students to engage in systematic processes to optimize the designs of their solutions. Emerging learning technologies such as computational models and simulations enable rapid feedback to learners about their…
Descriptors: Engineering, Middle School Students, High School Students, Building Design
Randy G. Floyd; Sequoya A. Fitzpatrick; Patrick J. McNicholas; Nikita M. Pike – School Psychology, 2024
"Best Practices in School Psychology" is one of the most influential books in school psychology history. Originally published in 1985 by Thomas and Grimes, it was the first book offered by the National Association of School Psychologists. Its six editions have been revised every 5-8 years. Utilizing Publish or Perish as well as…
Descriptors: Bibliometrics, School Psychology, Best Practices, Research Reports
Nathan Helsabeck; Jessica A. R. Logan – International Journal of Research & Method in Education, 2024
Assessing student achievement over multiple years is complicated by students' memberships in shifting upper-level nesting structures. These structures are manifested in (1) annual matriculation to different classrooms and (2) mobility between schools. Failure to model these shifting upper-level nesting structures may bias the inferences…
Descriptors: Academic Achievement, Student Evaluation, Growth Models, Data Analysis
S. Siva Shankar; Bui Thanh Hung; Prasun Chakrabarti; Tulika Chakrabarti; Gayatri Parasa – Education and Information Technologies, 2024
Modern life is increasingly influenced by networks, making cybersecurity a crucial area of study. However, due to their few resources and varied makeup, they are more vulnerable to a wide range of cyber-attacks. Such risks result in sensitive information being stolen as well as financial and reputational harm to firms. How far malicious detection…
Descriptors: Learning Processes, Artificial Intelligence, Information Security, Computer Security
Amanda Galbraith; Joy G. Bertling; Tabitha Wandell; Rita Swartzentruber; Lynn Hodge – Art Education, 2024
Data are storied, often with rich histories and powerful stories to tell, yet often presented in a format that belies these stories. The arts can help put the body back into seemingly disembodied data. Arts-based approaches can help students embrace the storied nature of data and leverage the power of stories to affect change. Rahul Bhargava et…
Descriptors: Visual Aids, Data, Art Education, STEM Education
Khalid, Mohammad; Akanmu, Abiola; Murzi, Homero; Lee, Sang Won; Awolusi, Ibukun; Manesh, Daniel; Okonkwo, Chinedu – Journal of Civil Engineering Education, 2024
Construction, one of the largest industries in the world, consistently underperforms and faces barriers in leveraging the full potential of applying analytics to sensor data due to a lack of a skilled workforce. The prospects for data-driven solutions to address emerging construction challenges and enhance performance across project life cycles…
Descriptors: Construction Industry, Engineering, Job Skills, Measurement Equipment

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