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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
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Arenson, Ethan A.; Karabatsos, George – Grantee Submission, 2017
Item response models typically assume that the item characteristic (step) curves follow a logistic or normal cumulative distribution function, which are strictly monotone functions of person test ability. Such assumptions can be overly-restrictive for real item response data. We propose a simple and more flexible Bayesian nonparametric IRT model…
Descriptors: Bayesian Statistics, Item Response Theory, Nonparametric Statistics, Models
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Torney-Purta, Judith; Amadeo, Jo-Ann – Research in Comparative and International Education, 2013
International Large-Scale Assessments (ILSAs) have been used to draw comparisons among countries on a variety of topics in education and, more broadly, for example, in adolescent development. These assessments can inform the public about influential factors on the micro and macro levels, foster interdisciplinary and international collaboration,…
Descriptors: International Programs, Measurement, Educational Assessment, Test Use
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
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Yalcin, Seher – Eurasian Journal of Educational Research, 2018
Purpose: Studies in the literature have generally demonstrated that the causes of differential item functioning (DIF) are complex and not directly related to defined groups. The purpose of this study is to determine the DIF according to the mixture item response theory (MixIRT) model, based on the latent group approach, as well as the…
Descriptors: Item Response Theory, Test Items, Test Bias, Error of Measurement
Hillman, Kylie – Australian Council for Educational Research, 2015
Surveys like the recent Trends in International Mathematics and Science Study (TIMSS) and Progress in International Reading Literacy Study (PIRLS) enable educators, policy makers and the wider community to compare Australian students with each other, as well as their counterparts across the world. An essential part of a positive school climate…
Descriptors: Foreign Countries, Bullying, Educational Research, Behavior Problems
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Lessani, Abdolreza; Yunus, Aida Suraya Md; Tarmiz, Rohani Ahmad; Mahmud, Rosnaini – International Education Studies, 2014
The international comparison of students' mathematics knowledge and competencies is an effective method of evaluating students' mathematics performance and developing policies to improve their achievements in mathematics. Trends in International Mathematics and Science Study (TIMSS) are among the most well-recognized international comparisons that…
Descriptors: Foreign Countries, Grade 8, Mathematics Achievement, Mathematics Curriculum
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Smith, Peter K.; Robinson, Susanne; Marchi, Barbara – International Journal of Developmental Science, 2016
There are four sources of large-scale self-report survey data on victim rates, cross-nationally. These are EU Kids Online, Global School Health Survey, Trends in International Mathematics and Science Study, and Health Behaviour of School-aged Children. There are some differences in methodology between these surveys, but all use pupil self-report…
Descriptors: Victims, Bullying, Achievement Tests, Elementary Secondary Education
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Hanushek, Eric A.; Peterson, Paul E.; Talpey, Laura M.; Woessmann, Ludger – Education Next, 2019
Income inequality has soared in the United States over the past half century. Has educational inequality increased alongside, in lockstep? Despite the topic's importance, surprisingly little scholarship has focused on long-term changes in the size of the achievement gap between students from higher and lower socioeconomic backgrounds. The authors'…
Descriptors: Achievement Gap, Failure, Advantaged, Academic Achievement
Wagemaker, Hans, Ed. – International Association for the Evaluation of Educational Achievement, 2020
Although International Association for the Evaluation of Educational Achievement-pioneered international large-scale assessment (ILSA) of education is now a well-established science, non-practitioners and many users often substantially misunderstand how large-scale assessments are conducted, what questions and challenges they are designed to…
Descriptors: International Assessment, Achievement Tests, Educational Assessment, Comparative Analysis
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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
Singer, Judith D., Ed.; Braun, Henry I., Ed.; Chudowsky, Naomi, Ed. – National Academy of Education, 2018
Results from international large-scale assessments (ILSAs) garner considerable attention in the media, academia, and among policy makers. Although there is widespread recognition that ILSAs can provide useful information, there is debate about what types of comparisons are the most meaningful and what could be done to assure more sound…
Descriptors: International Education, Educational Assessment, Educational Policy, Data Interpretation
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Long, Caroline; Wendt, Heike – African Journal of Research in Mathematics, Science and Technology Education, 2017
South Africa participated in TIMSS from 1995 to 2015. Over these two decades, some positive changes have been reported on the aggregated mathematics performance patterns of South African learners. This paper focuses on the achievement patterns of South Africa's high-performing Grade 9 learners (n = 3378) in comparison with similar subsamples of…
Descriptors: Foreign Countries, Comparative Analysis, Multiplication, Comparative Education
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Nixon, Ryan S.; Barth, Katie N. – School Science and Mathematics, 2014
The results of international assessments such as the Trends in International Mathematics and Science Study (TIMSS) are often reported as rankings of nations. Focusing solely on national rank can result in invalid inferences about the relative quality of educational systems that can, in turn, lead to negative consequences for teachers and students.…
Descriptors: Comparative Analysis, Test Items, Data Analysis, Inferences
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Konstantopoulos, Spyros; Shen, Ting – Educational Research and Evaluation, 2016
Class size reduction has been viewed as one school mechanism that can improve student achievement. Nonetheless, the literature has reported mixed findings about class size effects. We used 4th- and 8th-grade data from TIMSS 2003 and 2007 to examine the association between class size and mathematics achievement in public schools in Cyprus. We…
Descriptors: Class Size, Mathematics Achievement, Evidence, International Assessment
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