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Exploring the Multiverse of Analytical Decisions in Scaling Educational Large-Scale Assessment Data: A Specification Curve Analysis for PISA 2018 Mathematics Data [PDF]
European Journal of Investigation in Health, Psychology and Education, 2022 In educational large-scale assessment (LSA) studies such as PISA, item response theory (IRT) scaling models summarize students’ performance on cognitive test items across countries.
Alexander Robitzsch
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Large-scale assessment of needs in low vision individuals using the Aira assistive technology [PDF]
Clinical Ophthalmology, 2019 Brian J Nguyen,1,2 William S Chen,3 Allison J Chen,1 Andrew Utt,4 Emily Hill,4 Ryan Apgar,5 Daniel L Chao1,2 1Shiley Eye Institute, University of California San Diego, La Jolla, CA, USA; 2University of California San Diego, School of Medicine, La Jolla ...
Nguyen BJ +6 more
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BMC Public Health, 2020 An amendment to this paper has been published and can be accessed via the original article.
Yoshiki Ishikawa +8 more
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Estimation of item parameters and examinees’ mastery probability in each domain of the Korean Medical Licensing Examination using a deterministic inputs, noisy “and” gate (DINA) model [PDF]
Journal of Educational Evaluation for Health Professions, 2020 Purpose The deterministic inputs, noisy “and” gate (DINA) model is a promising statistical method for providing useful diagnostic information about students’ level of achievement, as educators often want to receive diagnostic information on how examinees
Younyoung Choi, Dong Gi Seo
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Frontiers in Psychology, 2020 International large-scale assessments, such as the Program for International Student Assessment (PISA), are conducted to provide information on the effectiveness of education systems.
Alexander Robitzsch +7 more
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An Exploration of Factors Linked to Academic Performance in PISA 2018 Through Data Mining Techniques
Frontiers in Psychology, 2020 International large-scale assessments, such as PISA, provide structured and static data. However, due to its extensive databases, several researchers place it as a reference in Big Data in Education.
Adriana Gamazo, Fernando Martínez-Abad
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Performance of Missing Data Approaches Under Nonignorable Missing Data Conditions
Methodology, 2020 Approaches for dealing with item omission include incorrect scoring, ignoring missing values, and approaches for nonignorable missing values and have only been evaluated for certain forms of nonignorability.
Steffi Pohl, Benjamin Becker
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Education Policy Analysis Archives, 2015 The stakes of large-scale testing programs have grown considerably in the past decade with the enactment of the No Child Left Behind (NCLB) and Race To The Top (RTTT) legislations.
Joseph F. T. Nese +3 more
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Frontiers in Education, 2023 Gender gap in STEM disciplines is a phenomenon that has been extensively studied and described. In this paper we focus on the gender gap in mathematics and firstly we illustrate the international and national situation that emerges from the reports of ...
Camilla Spagnolo, Bianca Nicchiotti
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Risk Assessment of Distribution Networks Integrating Large-Scale Distributed Photovoltaics
IEEE Access, 2019 Risk impacts on the operation of electric power distribution networks, when large amounts of distributed photovoltaics (PVs) are included, are gradually increasing to become a critical consideration for distribution networks' operations. In this paper, a
Lei Wang +5 more
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