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Direct linkFrancis Huang; Brian Keller – Large-scale Assessments in Education, 2025
Missing data are common with large scale assessments (LSAs). A typical approach to handling missing data with LSAs is the use of listwise deletion, despite decades of research showing that approach can be a suboptimal strategy resulting in biased estimates. In order to help researchers account for missing data, we provide a tutorial using R and…
Descriptors: Research Problems, Data Analysis, Statistical Bias, International Assessment
Andrés Sandoval-Hernández; David Joseph Rutkowski – Educational Assessment, Evaluation and Accountability, 2025
This paper explores the potential of abductive reasoning to enhance the analysis of international large-scale assessments which have traditionally relied on deductive and inductive reasoning. While these conventional methods have provided valuable insights into global student achievement, they often fail to capture the complexity of educational…
Descriptors: International Assessment, Logical Thinking, Data Analysis, Educational Assessment
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
Sameh Said-Metwaly; Belén Fernández-Castilla; Wim Van den Noortgate – Journal of Creative Behavior, 2025
Interest in understanding creativity through Programme for International Student Assessment (PISA) data is on the rise, yet researchers face methodological challenges in synthesizing findings across various constructs, measures, and datasets. Meta-analysis--a valuable methodology for synthesizing quantitative data--remains underutilized in…
Descriptors: Achievement Tests, Foreign Countries, International Assessment, Secondary School Students
Nani Teig – Research in Science Education, 2024
The advancement of technology has led to a growing interest in assessing scientific inquiry within digital platforms. This shift towards dynamic and interactive inquiry assessments enables researchers to investigate not only the accuracy of student responses ("product data") but also their steps and actions leading to those responses…
Descriptors: Learning Strategies, Problem Solving, Science Process Skills, Inquiry
José Manuel Cordero; Lucía Mateos-Romero – Large-scale Assessments in Education, 2025
Background: In recent years, there has been generalized concern in all countries about increasing the younger population's level of financial literacy. However, there is still little evidence on the key factors explaining financial literacy, as the existing literature is inconclusive about this issue. This paper focuses on exploring whether…
Descriptors: Paying for College, Financial Literacy, Achievement Tests, Foreign Countries
Ulitzsch, Esther; Lüdtke, Oliver; Robitzsch, Alexander – Educational Measurement: Issues and Practice, 2023
Country differences in response styles (RS) may jeopardize cross-country comparability of Likert-type scales. When adjusting for rather than investigating RS is the primary goal, it seems advantageous to impose minimal assumptions on RS structures and leverage information from multiple scales for RS measurement. Using PISA 2015 background…
Descriptors: Response Style (Tests), Comparative Analysis, Achievement Tests, Foreign Countries
Burcu Koca Guler; Fulya Gokalp Yavuz – European Journal of Education, 2025
Assessing achievement is a complex task due to its dependence on multiple factors and the hierarchical structure of educational data, yet surveys like TIMSS offer valuable insights into its determining factors like students' mathematics anxiety. However, disregarding the nested structure of data and ignoring the assumptions of models causes poor…
Descriptors: Achievement Tests, Elementary Secondary Education, International Assessment, Mathematics Tests
Kaplan, David; Chen, Jianschen; Yavuz, Sinan; Lyu, Weicong – Grantee Submission, 2022
The purpose of this paper is to demonstrate and evaluate the use of "Bayesian dynamic borrowing"(Viele et al, in Pharm Stat 13:41-54, 2014) as a means of systematically utilizing historical information with specific applications to large-scale educational assessments. Dynamic borrowing via Bayesian hierarchical models is a special case…
Descriptors: Bayesian Statistics, Models, Prediction, Accuracy
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
Kaplan, David; Chen, Jianshen; Lyu, Weicong; Yavuz, Sinan – Large-scale Assessments in Education, 2023
The purpose of this paper is to extend and evaluate methods of "Bayesian historical borrowing" applied to longitudinal data with a focus on parameter recovery and predictive performance. Bayesian historical borrowing allows researchers to utilize information from previous data sources and to adjust the extent of borrowing based on the…
Descriptors: Bayesian Statistics, Longitudinal Studies, Children, Surveys
Rudd, Georgia; Meissel, Kane; Meyer, Frauke – Educational Assessment, Evaluation and Accountability, 2023
Academic resilience captures academic success despite adversity and thus is an important concept for promoting equity within education. However, our understanding of how and why rates of academic resilience differ between contexts is currently limited by variation in the ways that the construct has been operationalised in quantitative research.…
Descriptors: Case Studies, Academic Achievement, Resilience (Psychology), Equal Education
David Kaplan; Jianshen Chen; Weicong Lyu; Sinan Yavuz – Grantee Submission, 2023
The purpose of this paper is to extend and evaluate methods of "Bayesian historical borrowing" applied to longitudinal data with a focus on parameter recovery and predictive performance. Bayesian historical borrowing allows researchers to utilize information from previous data sources and to adjust the extent of borrowing based on the…
Descriptors: Bayesian Statistics, Longitudinal Studies, Children, Surveys
UNESCO International Institute for Educational Planning, 2023
In February 2018, the IIEP-UNESCO Office in Dakar, with the support of Agence Française de Développement, launched a programme to support the monitoring of education quality in sub-Saharan Africa. The programme's primary objective is to assist education authorities in diagnosing and regulating their practices across all levels, contributing to the…
Descriptors: Educational Assessment, International Assessment, Secondary School Students, Achievement Tests
Marianna Pagkratidou; Michalis P. Michaelides; Vasiliki Pitsia; Anastasios Karakolidis – Journal for STEM Education Research, 2025
Science, technology engineering, and mathematics (STEM) professions offer competitive earnings, tend to be compatible with technological advances, and are predicted to remain in high demand in the future. Many countries, including Greece, have prioritised STEM education on their educational agendas, aiming to prepare students for careers in these…
Descriptors: STEM Careers, Occupational Aspiration, Student Attitudes, Foreign Countries
