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Download full textMichael O. Martin, Editor; Julian Fraillon, Editor; Heiko Sibberns, Editor; Betina Borisova, Contributor; Ekaterina Buzkich, Contributor; David Ebbs, Contributor; Eugenio Gonzalez, Contributor; Seamus Hegarty, Contributor; Sabine Meinck, Contributor; Sebastian Meyer, Contributor; Irini Moustaki, Contributor; Lauren Musu, Contributor; Keith Rust, Contributor; Ulrich Sievers, Contributor; Matthias von Davier, Contributor; Kentaro Yamamoto, Contributor – International Association for the Evaluation of Educational Achievement, 2025
This publication presents "IEA's Technical Standards for International Large-Scale Assessment." The initial standards, published in 1999, aimed to consolidate the best practices and methodological rigor in IEA's approach to educational assessment, addressing the unique needs of international studies. The standards presented in this…
Descriptors: International Assessment, Standards, Test Construction, Data Collection
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
Direct linkCenter for IDEA Early Childhood Data Systems (DaSy), 2024
This guide by DaSy, NCPMI, and ECTA provides cross-sector teams at the state, territory, tribal, and local levels with strategies for collecting and using data across the mixed delivery system of early care and education programs. Collecting and analyzing qualitative and quantitative data can help inform teams to develop policy and practices that…
Descriptors: Outcomes of Education, Data Use, Discipline, Data Collection
National Forum on Education Statistics, 2025
This Forum Guide, developed by the National Forum on Education Statistics, provides best practices for collecting, managing, and using educator workforce data. It offers education agencies practical guidance on building high-quality data systems that inform teacher recruitment, retention, and professional development efforts.
Descriptors: College Readiness, Career Readiness, Data Collection, Data Use
Early Childhood Technical Assistance Center, 2024
This guide provides cross-sector teams at the state, territory, tribal, and local levels with strategies for collecting and using data across the mixed delivery system of early care and education programs. (This guide uses the term "state and local" to refer to all of these levels.) Collecting and analyzing qualitative and quantitative…
Descriptors: Educational Policy, Educational Practices, Data Use, Discipline
