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Chengyu Cui; Chun Wang; Gongjun Xu – Grantee Submission, 2024
Multidimensional item response theory (MIRT) models have generated increasing interest in the psychometrics literature. Efficient approaches for estimating MIRT models with dichotomous responses have been developed, but constructing an equally efficient and robust algorithm for polytomous models has received limited attention. To address this gap,…
Descriptors: Item Response Theory, Accuracy, Simulation, Psychometrics
Egan, Laura; Tang, Judy H.; Ferraro, David; Erberber, Ebru; Tsokodayi, Yemurai; Stearns, Pat – National Center for Education Statistics, 2022
Trends in International Mathematics and Science Study (TIMSS) is an international comparative study designed to measure trends in mathematics and science achievement at grades 4 and 8, as well as to collect information about educational contexts (such as students' schools, teachers, and homes) that may be related to student achievement. TIMSS has…
Descriptors: Achievement Tests, Mathematics Achievement, International Assessment, Foreign Countries
Provasnik, Stephen; Dogan, Enis; Erberber, Ebru; Zheng, Xiaying – National Center for Education Statistics, 2020
Large-scale assessment programs, such as the Trends in International Mathematics and Science Study (TIMSS) and the Progress in International Reading Literacy Study (PIRLS), employ item response theory (IRT) and marginal estimation methods to estimate student proficiency in specific subjects such as mathematics, science, or reading. Each of these…
Descriptors: Student Evaluation, Evaluation Methods, Academic Achievement, Item Response Theory
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
Komatsu, Hikaru; Rappleye, Jeremy – Globalisation, Societies and Education, 2021
The OECD's PISA exercise has by now been widely critiqued. Whilst we agree with most concerns, we begin with the assumption that PISA will remain an enduring and powerful feature of the global educational landscape. Even if the PISA test itself were discontinued, a similar large-scale quantitative assessment exercise would soon arise to take its…
Descriptors: Criticism, Achievement Tests, Secondary School Students, International Assessment
Siemssen, Annette M. – ProQuest LLC, 2018
Data mining has been successfully used by financial and retail companies since the mid-1960's to create predictive models and reveal unexpected relationships. However, it remains underutilized as a tool in educational research. Large-scale standardized assessment programs such as the Trends in International Mathematics and Science Study (TIMSS)…
Descriptors: Foreign Countries, Comparative Education, Information Retrieval, Data Analysis
Averett, Chris; Ferraro, David; Tang, Judy; Erberber, Ebru; Stearns, Pat – National Center for Education Statistics, 2018
The Trends in International Mathematics and Science Study (TIMSS) is an international comparative study designed to measure trends in mathematics and science achievement at the fourth and eighth grades, as well as to collect information about educational contexts (such as students' schools, teachers, and homes) that may be related to student…
Descriptors: Foreign Countries, Achievement Tests, Mathematics Achievement, International Assessment
Martin, Michael O., Ed.; von Davier, Matthias, Ed.; Mullis, Ina V. S., Ed. – International Association for the Evaluation of Educational Achievement, 2020
The chapters in this online volume comprise the TIMSS & PIRLS International Study Center's technical report of the methods and procedures used to develop, implement, and report the results of TIMSS 2019. There were various technical challenges because TIMSS 2019 was the initial phase of the transition to eTIMSS, with approximately half the…
Descriptors: Foreign Countries, Elementary Secondary Education, Achievement Tests, International Assessment
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
Hooper, Martin – ProQuest LLC, 2017
TIMSS and PIRLS assess representative samples of students at regular intervals, measuring trends in student achievement and student contexts for learning. Because individual students are not tracked over time, analysis of international large-scale assessment data is usually conducted cross-sectionally. Gustafsson (2007) proposed examining the data…
Descriptors: Achievement Tests, Foreign Countries, Elementary Secondary Education, International Assessment
Meiko Lin; Erin Bumgarner; Madhabi Chatterji – Quality Assurance in Education: An International Perspective, 2014
Purpose: This policy brief, the third in the AERI-NEPC eBrief series "Understanding validity issues around the world", discusses validity issues surrounding International Large Scale Assessment (ILSA) programs. ILSA programs, such as the well-known Programme of International Student Assessment (PISA) and the Trends in International…
Descriptors: Achievement Tests, Foreign Countries, International Assessment, Elementary Secondary Education
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
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
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
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