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Mireia Bolíbar; Julia Martínez-Ariño; Maria Schiller – Field Methods, 2025
We propose a new method for analyzing and visualizing information on a large collection of personal networks to uncover the socio-centric structure of relationships among aggregated actors that we clustered into categories. The network of categories identifies the links between groups of sampled ego actors sharing a given attribute (e.g.,…
Descriptors: Measurement Techniques, Data Analysis, Data Collection, Networks
Data Quality Campaign, 2025
Statewide longitudinal data systems (SLDSs) often rely on personal identifiers to securely link individual-level data across early childhood, K-12, higher education, and the workforce. However, different sectors use different types of personal identifiers which can make accurately connecting records difficult. Driver's license data offers a single…
Descriptors: Data Collection, Motor Vehicles, Certification, Education Work Relationship
Sean M. Baser; Mónica Maldonado; Matt T. Dean; William B. Walker Jr.; Erik C. Ness – State Higher Education Executive Officers, 2025
States serve as the central authority in higher education oversight, playing a critical role in consumer protection and quality assurance within the regulatory triad and as an independent regulatory entity. However, there is a notable gap in understanding the components of renewal processes, how agencies implement them in practice, and the…
Descriptors: State Agencies, Accountability, State Regulation, Governance
Sean M. Baser – State Higher Education Executive Officers, 2025
Student outcome data is essential for decision-making in higher education, informing choices at the student, institutional, and state levels. Within state authorization--the gatekeeping process for institutional entry, continued operation, and closure--these data support oversight, accountability, and consumer transparency. This brief summarizes…
Descriptors: Data Use, State Regulation, Governance, Higher Education
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Jane Watson; Noleine Fitzallen – Teaching Statistics: An International Journal for Teachers, 2025
The practice of statistics has the power to motivate and support learning across the STEM (Science, Technology, Engineering, and Mathematics) disciplines. When connected with meaningful science contexts, statistical problem solving through the collection of data and subsequent data analysis, supported by contemporary graphing technology, presents…
Descriptors: Elementary School Students, Grade 5, Statistics, Statistics Education
Barrett, Sheri H. – Stylus Publishing LLC, 2023
Written with faculty in mind, "Assessment by Design" is a practical resource that will also be useful to student affairs staff and administrators dedicated to using assessment to improve learning in curricular and co-curricular settings. This book presents the Cycle of Assessment as a framework that supports assessment in service of…
Descriptors: Educational Assessment, Evaluation, Planning, Data Collection
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Joy G. Bertling; Chris Grodoski; Amanda Galbraith; Ericka Ryba; Lynn Hodge – Art Education, 2024
Despite vital professional development support through the National Art Education Association's Data Visualization Working Group and other scholars' engagement with the topic in the literature, pedagogical literature that connects contemporary data visualization methods to art teaching practices is limited. While acknowledging that many of us have…
Descriptors: Art Education, Visual Aids, Data Analysis, Teaching Methods
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Céline Chapelle; Gwénaël Le Teuff; Paul Jacques Zufferey; Silvy Laporte; Edouard Ollier – Research Synthesis Methods, 2024
The number of meta-analyses of aggregate data has dramatically increased due to the facility of obtaining data from publications and the development of free, easy-to-use, and specialised statistical software. Even when meta-analyses include the same studies, their results may vary owing to different methodological choices. Assessment of the…
Descriptors: Meta Analysis, Replication (Evaluation), Data Analysis, Statistical Analysis
Knips, Andrew; Lopez, Sonya; Savoy, Michael; LaParo, Kendall – ASCD, 2022
Building a better data culture can be the path to better results and greater equity in schools. But what do we mean by data? Your students are not just statistics. They aren't simply a set of numbers or faceless dots on a proficiency scale. They are vibrant collections of experiences, thoughts, perspectives, emotions, wants, and dreams. And taken…
Descriptors: Equal Education, Data Use, Data Collection, Data Analysis
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Gregory Chernov – Evaluation Review, 2025
Most existing solutions to the current replication crisis in science address only the factors stemming from specific poor research practices. We introduce a novel mechanism that leverages the experts' predictive abilities to analyze the root causes of replication failures. It is backed by the principle that the most accurate predictor is the most…
Descriptors: Replication (Evaluation), Prediction, Scientific Research, Failure
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Bernadine Sengalrayan; Blane Harvey – Evidence & Policy: A Journal of Research, Debate and Practice, 2025
Background: This study examines the engagement of knowledge users in knowledge mobilisation (KMb) research on Canadian K-12 teaching and education policy. Research on and around KMb has grown in the decade since this field was first assessed comprehensively. Thus, it is timely to re-evaluate if current knowledge producer-user relationships in KMb…
Descriptors: Foreign Countries, Elementary Secondary Education, Educational Research, Educational Researchers
Sophie Zamarripa; Hailly T. N. Korman; Paul Beach; Libby Schwaner; Max Marchitello – Bellwether, 2025
"Court-involved" students -- those who are incarcerated, on probation, in foster care, in residential treatment facilities, or have concurrent adjudications -- retain their full educational rights under federal and state laws. They also face many educational challenges, as they are often highly mobile, have concentrated needs, and may…
Descriptors: Data Collection, Data Use, Information Dissemination, Juvenile Justice
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Sean M. Fitzhugh; Cynthia K. Maupin; Arwen H. DeCostanza – Cognitive Research: Principles and Implications, 2025
Trust serves an important purpose in organizations composed of numerous, specialized, interdependent roles. Supporting confidence that individuals will dutifully fulfill the responsibilities of those roles without causing harm to the organization, trust enables coordinated task execution across multiple roles and facilitates information exchange…
Descriptors: Institutional Cooperation, Trust (Psychology), Information Networks, Military Training
Beixi Li; Ajit Bhattarai – Sage Research Methods Cases, 2025
The purpose of this case study is to illustrate how we practiced narrative métissage, an Indigenous research methodology, as non-Indigenous researchers. We engaged in an arts-based collaborative autoethnography to explore our growing understanding of scholarly impact using various concepts from transformative learning. In this case study, we…
Descriptors: Indigenous Knowledge, Research Methodology, Ethnography, Transformative Learning
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Beth Chance; Andrew Kerr; Jett Palmer – Journal of Statistics and Data Science Education, 2024
While many instructors are aware of the "Literary Digest" 1936 poll as an example of biased sampling methods, this article details potential further explorations for the "Digest's" 1924-1936 quadrennial U.S. presidential election polls. Potential activities range from lessons in data acquisition, cleaning, and validation, to…
Descriptors: Publications, Public Opinion, Surveys, Bias
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