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Jung Yeon Park; Sean Joo; Zikun Li; Hyejin Yoon – Educational Measurement: Issues and Practice, 2025
This study examines potential assessment bias based on students' primary language status in PISA 2018. Specifically, multilingual (MLs) and nonmultilingual (non-MLs) students in the United States are compared with regard to their response time as well as scored responses across three cognitive domains (reading, mathematics, and science).…
Descriptors: Achievement Tests, Secondary School Students, International Assessment, Test Bias
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Jeremy Rappleye; Hikaru Komatsu; Yukiko Uchida; Jeanne Tsai; Hazel Markus – Comparative Education, 2024
Well-being 2030 has become the latest rationale for the OECD's education work. This vision has given rise to new assessments of student well-being beginning with PISA 2015. The OECD, recognising the problems of PISA 2015, conceptualised a wider student well-being construct in PISA 2018, and attempted to measure 'students' feelings'. However,…
Descriptors: Foreign Countries, International Assessment, Achievement Tests, Secondary School Students
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McIntosh, James – European Education, 2019
This article examines whether the way that PISA models item outcomes in mathematics affects the validity of its country rankings. As an alternative to PISA methodology, a two-parameter logistic model is applied to PISA mathematics item data from Italy and Spain for the year 2009. In the estimation procedure, item difficulty and dispersion…
Descriptors: Foreign Countries, Achievement Tests, International Assessment, Secondary School Students
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Abulela, Mohammed A. A.; Harwell, Michael M. – Educational Sciences: Theory and Practice, 2020
Data analysis is a significant methodological component when conducting quantitative education studies. Guidelines for conducting data analyses in quantitative education studies are common but often underemphasize four important methodological components impacting the validity of inferences: quality of constructed measures, proper handling of…
Descriptors: Educational Research, Educational Researchers, Novices, Data Analysis
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Grund, Simon; Lüdtke, Oliver; Robitzsch, Alexander – Journal of Educational and Behavioral Statistics, 2021
Large-scale assessments (LSAs) use Mislevy's "plausible value" (PV) approach to relate student proficiency to noncognitive variables administered in a background questionnaire. This method requires background variables to be completely observed, a requirement that is seldom fulfilled. In this article, we evaluate and compare the…
Descriptors: Data Analysis, Error of Measurement, Research Problems, Statistical Inference
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Cheng, Yin Cheong; Ko, James; Lee, Theodore Tai Hoi – International Journal of Educational Management, 2016
Purpose: The purpose of this paper is to develop a framework for reconceptualising research on school autonomy to redress the limitations of traditional research, strengthen the conceptual links between school autonomy and learning outcomes and offer a range of new strategies for studying the interplay of school autonomy, leadership and learning.…
Descriptors: Institutional Autonomy, Leadership, Learning, Educational Research
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Rutkowski, Leslie; Rutkowski, David – Educational Researcher, 2016
In the current article, we consider the influential position of the Programme for International Student Assessment (PISA) and discuss several methodological areas that demonstrate the need for caution when using and interpreting PISA results. We motivate our argument by briefly describing the program's increased influence in educational policy…
Descriptors: International Assessment, Outcome Measures, Data Interpretation, Research Reports