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Brunner, Martin; Keller, Lena; Stallasch, Sophie E.; Kretschmann, Julia; Hasl, Andrea; Preckel, Franzis; Lüdtke, Oliver; Hedges, Larry V. – Research Synthesis Methods, 2023
Descriptive analyses of socially important or theoretically interesting phenomena and trends are a vital component of research in the behavioral, social, economic, and health sciences. Such analyses yield reliable results when using representative individual participant data (IPD) from studies with complex survey designs, including educational…
Descriptors: Meta Analysis, Surveys, Research Design, Educational Research
Bodin, Mathieu – UNESCO International Institute for Educational Planning, 2021
Large-scale learning assessments can be used to generate performance and contextual data on student learning outcomes. They can be national, regional, or international; school based or household based. The UNESCO International Institute for Educational Planning (IIEP-UNESCO) has conducted a qualitative study to explore both how and why learning…
Descriptors: Student Evaluation, Foreign Countries, Evaluation Methods, Data Use
Popkewitz, Thomas S. – Discourse: Studies in the Cultural Politics of Education, 2022
The Organization of Economic, Cooperation and Development's Programme for International Student Assessment (OECD's PISA) is explored as a site of science as an actor managing a social life. Its calculations form at the interstices of multiple historical lines as a comparative reason about nations, societies, and populations. That reason is…
Descriptors: International Assessment, Colonialism, International Organizations, Achievement Tests
Oren Pizmony-Levy; James Harvey; William H. Schmidt; Richard Noonan; Laura Engel; Michael J. Feuer; Henry Braun; Carla Santorno; Iris C. Rotberg; Paul Ash; Madhabi Chatterji; Judith Torney-Purta – Quality Assurance in Education: An International Perspective, 2014
Purpose: This paper presents a moderated discussion on popular misconceptions, benefits and limitations of International Large-Scale Assessment (ILSA) programs, clarifying how ILSA results could be more appropriately interpreted and used in public policy contexts in the USA and elsewhere in the world. Design/methodology/approach: To bring key…
Descriptors: Misconceptions, International Assessment, Evaluation Methods, Measurement
OECD Publishing, 2017
The PISA for Development brief series is a set of concise monthly education policy-oriented notes published by the OECD which are designed to describe a specific PISA for Development topic. In this brief, the role of PISA-D to assesses students' skills and knowledge in three cognitive domains--reading, mathematics and science--and collection of…
Descriptors: Foreign Countries, Achievement Tests, International Assessment, Secondary School Students
Snyder, Thomas D.; Dillow, Sally A. – National Center for Education Statistics, 2013
The 2012 edition of the "Digest of Education Statistics" is the 48th in a series of publications initiated in 1962. The "Digest" has been issued annually except for combined editions for the years 1977-78, 1983-84, and 1985-86. Its primary purpose is to provide a compilation of statistical information covering the broad field…
Descriptors: School Statistics, Definitions, Tables (Data), Longitudinal Studies
Sellar, Sam – Critical Studies in Education, 2015
This article explores the relationship between commensuration and affect in various contexts of education policy. Commensuration is the process through which disparate qualities are transformed into a common metric and is central to the production of performance data. The rise of governance through numbers in education has resulted in a…
Descriptors: Educational Policy, Data, Governance, Psychological Patterns
Burns, Shelley, Ed.; Wang, Xiaolei, Ed.; Henning, Alexandra, Ed. – National Center for Education Statistics, 2011
Since its inception, the National Center for Education Statistics (NCES) has been committed to the practice of documenting its statistical methods for its customers and of seeking to avoid misinterpretation of its published data. The reason for this policy is to assure customers that proper statistical standards and techniques have been observed,…
Descriptors: National Surveys, Data Processing, Statistical Data, Data Collection
Gillis, Shelley; Polesel, John; Wu, Margaret – Australian Educational Researcher, 2016
This article considers the role played by policy makers, government organisations, and research institutes (sometimes labelled "think tanks") in the analysis, use and reporting of PISA data for the purposes of policy advice and advocacy. It draws on the ideas of Rizvi and Lingard (Globalizing Education Policy, 2010), Bogdandy and…
Descriptors: Educational Research, Organizations (Groups), Educational Policy, Data Analysis
US Department of Education, 2019
A great education is the key to unlocking personal potential to succeed in careers and to lead a meaningful life. Accordingly, education is best addressed by those closest to students--parents and teachers. The proper Federal role in education should be to come alongside teachers, parents, and students in ensuring every student has opportunities…
Descriptors: Public Agencies, Federal Government, Strategic Planning, Institutional Mission
Australian Council for Educational Research, 2015
Monitoring Trends in Educational Growth (MTEG) offers a flexible, collaborative approach to developing and implementing an assessment of learning outcomes that yields high-quality, nationally relevant data. MTEG is a service that involves ACER staff working closely with each country to develop an assessment program that meets the country's…
Descriptors: Educational Development, Educational Trends, Progress Monitoring, Educational Quality
Gibson, David C.; Webb, Mary; Ifenthaler, Dirk – International Association for Development of the Information Society, 2015
This paper briefly discusses four measurement challenges of data science or "big data" in educational assessments that are enabled by technology: 1. Dealing with change over time via time-based data. 2. How a digital performance space's relationships interact with learner actions, communications and products. 3. How layers of…
Descriptors: Measurement, Data Analysis, Psychometrics, Correlation
Snyder, Thomas D.; Dillow, Sally A. – National Center for Education Statistics, 2012
The 2011 edition of the "Digest of Education Statistics" is the 47th in a series of publications initiated in 1962. The "Digest" has been issued annually except for combined editions for the years 1977-78, 1983-84, and 1985-86. Its primary purpose is to provide a compilation of statistical information covering the broad field…
Descriptors: Educational Research, Data Collection, Data Analysis, Error Patterns
OECD Publishing (NJ1), 2012
In most PISA-participating countries and economies, the average socio-economic background of students who attend privately managed schools is more advantaged than that of those who attend public schools. Yet in some countries, there is little difference in the socio-economic profiles between public and private schools. Why? An analysis of PISA…
Descriptors: Private Schools, Academic Achievement, Profiles, Public Schools
Anderson, John O.; Chiu, Mei-Hung; Yore, Larry D. – International Journal of Science and Mathematics Education, 2010
This special edition of IJMSE focuses on the Programme of International Student Assessment (PISA) project now that it has completed a full cycle of administration--reading, mathematics, and science--to look at ways in which PISA has been used in participating countries and with what consequences, and to identify potential research and policy…
Descriptors: Reading Achievement, Data Analysis, Scientific Literacy, Numeracy