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Showing 1 to 15 of 20 results Save | Export
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Kastberg, David; Murray, Gordon; Ferraro, David; Arieira, Carlos; Roey, Shep; Mamedova, Saida; Liao, Yuqi – National Center for Education Statistics, 2021
The Program for International Student Assessment Young Adult Follow-up Study (PISA YAFS) is a follow-up study with students who participated in PISA 2012 in the United States. The study is designed to measure how performance on PISA 2012 relates to subsequent measures of outcomes and skills of young adults on an online assessment, Education and…
Descriptors: Foreign Countries, Achievement Tests, Secondary School Students, Young Adults
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Fatma Ünal; Hakan Kogar – International Journal of Assessment Tools in Education, 2024
The purpose of this study is to examine the effect of missing data imputation methods, namely regression imputation (RI), multiple imputation (MI) and k-nearest neighbor (kNN) on differential item functioning (DIF). In this regard, the datasets used in the research were created by deleting some of the data via the missing completely at random…
Descriptors: Foreign Countries, Achievement Tests, International Assessment, Secondary School Students
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Aksu, Nursah; Aksu, Gökhan; Saracaloglu, Seda – International Electronic Journal of Elementary Education, 2022
The purpose of this study is to predict the mathematical literacy levels of the students participating in the research through the data obtained from PISA 2015 exam organized by OECD using data mining and to determine the variables that affect mathematics literacy. For this purpose, students' mathematics literacy levels and the variables that…
Descriptors: Predictor Variables, International Assessment, Achievement Tests, Foreign Countries
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Eichmann, Beate; Goldhammer, Frank; Greiff, Samuel; Brandhuber, Liene; Naumann, Johannes – Journal of Educational Psychology, 2020
In large-scale assessments, performance differences across different groups are regularly found. These group differences (e.g., gender differences) are often relevant for educational policy decisions and measures. However, the formation of these group differences usually remains unclear. We propose an approach for investigating this formation by…
Descriptors: Problem Solving, Data Use, Differences, Achievement Tests
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Ercikan, Kadriye; Guo, Hongwen; He, Qiwei – Educational Assessment, 2020
Comparing group is one of the key uses of large-scale assessment results, which are used to gain insights to inform policy and practice and to examine the comparability of scores and score meaning. Such comparisons typically focus on examinees' final answers and responses to test questions, ignoring response process differences groups may engage…
Descriptors: Data Use, Responses, Comparative Analysis, Test Bias
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Depaoli, Sarah; Clifton, James P.; Cobb, Patrice R. – Journal of Educational and Behavioral Statistics, 2016
A review of the software Just Another Gibbs Sampler (JAGS) is provided. We cover aspects related to history and development and the elements a user needs to know to get started with the program, including (a) definition of the data, (b) definition of the model, (c) compilation of the model, and (d) initialization of the model. An example using a…
Descriptors: Monte Carlo Methods, Markov Processes, Computer Software, Models
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Crossley, Michael – Comparative Education, 2014
The international transfer of educational policy and practice has long been a key theme in comparative research and scholarship. Recent years have seen renewed attention to the processes of international policy transfer, with new understandings emerging from innovative theorising and analysis. This article examines the nature and implications of…
Descriptors: Educational Policy, Comparative Education, Educational Research, Technology Transfer
Shin, Yongyun – Grantee Submission, 2013
Hierarchical organization of schooling in all nations insures that international large-scale assessment data are multilevel where students are nested within schools and schools are nested within nations. Longitudinal follow-up of these students adds an additional level. Hierarchical or multilevel models are appropriate to analyze such data. A…
Descriptors: Hierarchical Linear Modeling, Data Analysis, International Assessment, Predictor Variables
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Simsek, Cengiz – Educational Sciences: Theory and Practice, 2011
Due to the frequent change in expectations from education/learning, youth, the educational system's most dynamic participants, are experiencing low-level motivation in education and learning, because of growth and psychological characteristics or sociological, economic, and other reasons. This negative process is pushing program-developers,…
Descriptors: Classroom Techniques, Psychological Characteristics, Motivation, Foreign Countries
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Ercikan, Kadriye; Roth, Wolff-Michael; Asil, Mustafa – Teachers College Record, 2015
Background/Context: Two key uses of international assessments of achievement have been (a) comparing country performances for identifying the countries with the best education systems and (2) generating insights about effective policy and practice strategies that are associated with higher learning outcomes. Do country rankings really reflect the…
Descriptors: Inferences, International Education, International Studies, Case Studies
Petrilli, Michael J.; Scull, Janie – Thomas B. Fordham Institute, 2011
The release of the latest results of the Programme for International Student Assessment (PISA) garnered all the usual headlines about America's lackluster performance and the rise of competitor nations. To be sure, the findings--that America's fifteen-year-olds perform in the middle of the pack in both reading and math--are disconcerting for a…
Descriptors: Low Achievement, Academic Achievement, Achievement Rating, Achievement Tests
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Koretz, Daniel – Future of Children, 2009
In response to frequent news media reports about how poorly American students fare compared with their peers abroad, Daniel Koretz takes a close look at what these comparisons say, and do not say, about the achievement of U.S. high school students. He stresses that the comparisons do not provide what many observers of education would like:…
Descriptors: High School Students, Academic Achievement, Comparative Analysis, Global Approach
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Liang, Xin – Evaluation & Research in Education, 2010
The study examined the role of classroom assessment and its relationships to student characteristics and mathematics performance by comparing the USA, Canada and Finland using Program of International Student Assessment (PISA) 2003 data. The results indicated that student individual characteristics such as gender, family social-cultural status,…
Descriptors: Individual Characteristics, Student Evaluation, Self Efficacy, Mathematics Achievement
Lehming, Rolf F.; Alt, Martha Naomi; Chen, Xianglei; Hall, Leslie; Burton, Lawrence; Burrelli, Joan S.; Kannankutty, Nirmala; Proudfoot, Steven; Regets, Mark C.; Boroush, Mark; Moris, Francisco A.; Wolfe, Raymond M.; Britt, Ronda; Christovich, Leslie; Hill, Derek; Falkenheim, Jaquelina C.; Dunnigan, Paula C. – National Science Foundation, 2010
"Science and Engineering Indicators" (SEI) is first and foremost a volume of record comprising the major high-quality quantitative data on the U.S. and international science and engineering enterprise. SEI is factual and policy neutral. It does not offer policy options, and it does not make policy recommendations. SEI employs a variety…
Descriptors: Statistical Data, Engineering, Sciences, Elementary Secondary Education
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Shin, Jongho; Lee, Hyunjoo; Kim, Yongnam – School Psychology International, 2009
The purpose of the study was to comparatively investigate student- and school-level factors affecting mathematics achievement of Korean, Japanese and American students. For international comparisons, the PISA 2003 data were analysed by using the Hierarchical Linear Modeling method. The variables of competitive-learning preference, instrumental…
Descriptors: Mathematics Achievement, Foreign Countries, Comparative Education, Performance Factors
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