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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
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
Herget, Debbie; Dalton, Ben; Kinney, Saki; Smith, W. Zachary; Wilson, David; Rogers, Jim – National Center for Education Statistics, 2019
The Progress in International Reading Literacy Study (PIRLS) is an international comparative study of student performance in reading literacy at the fourth grade. PIRLS 2016 marks the fourth iteration of the study, which has been conducted every 5 years since 2001. New to the PIRLS assessment in 2016, ePIRLS provides a computer-based extension to…
Descriptors: Achievement Tests, Grade 4, Reading Achievement, Foreign Countries
Martin, Michael O., Ed.; Mullis, Ina V. S., Ed.; Hooper, Martin, Ed. – International Association for the Evaluation of Educational Achievement, 2017
"Methods and Procedures in PIRLS 2016" documents the development of the Progress in International Reading Literacy Study (PIRLS) assessments and questionnaires and describes the methods used in sampling, translation verification, data collection, database construction, and the construction of the achievement and context questionnaire…
Descriptors: Foreign Countries, Achievement Tests, Grade 4, International Assessment
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
Warner-Griffin, Catharine; Liu, Huili; Tadler, Chrystine; Herget, Debbie; Dalton, Ben – National Center for Education Statistics, 2017
The Progress in International Reading Literacy Study (PIRLS) is an international assessment of student performance in reading literacy at the fourth grade. PIRLS measures students in the fourth year of formal schooling because this is typically when students' learning transitions from a focus on "learning to read" to a focus on…
Descriptors: Foreign Countries, Achievement Tests, Grade 4, International Assessment
Pham, Cheryl Carangian – ProQuest LLC, 2011
The purpose of this mixed methods phenomenological study was to explore the data-driven instructional decisions that elementary teachers make in literacy. Educators have moved towards a culture of being data-driven, and have declared data use in schools to be significant to school improvement and accountability (Marsh, Pane, & Hamilton, 2006).…
Descriptors: Student Evaluation, Standardized Tests, Interviews, Program Effectiveness
Karabatsos, G.; Walker, S.G. – Society for Research on Educational Effectiveness, 2010
Causal inference is central to educational research, where in data analysis the aim is to learn the causal effects of educational treatments on academic achievement, to evaluate educational policies and practice. Compared to a correlational analysis, a causal analysis enables policymakers to make more meaningful statements about the efficacy of…
Descriptors: Bayesian Statistics, Causal Models, Educational Research, Writing Instruction
Oranje, Andreas; Freund, David; Lin, Mei-jang; Tang, Yuxin – ETS Research Report Series, 2007
In this paper, a data perturbation method for minimizing the possibility of disclosure of participants' identities on a survey is described in the context of the National Assessment of Educational Progress (NAEP). The method distinguishes itself from most approaches because of the presence of cognitive tasks. Hence, a data edit should have minimal…
Descriptors: Student Surveys, Risk, National Competency Tests, Data Analysis
Hopstock, Paul J.; Pelczar, Marisa P. – National Center for Education Statistics, 2011
This technical report and user's guide is designed to provide researchers with an overview of the design and implementation of the 2009 Program for International Student Assessment (PISA), as well as with information on how to access the PISA 2009 data. This information is meant to supplement that presented in Organization for Economic Cooperation…
Descriptors: Parent Materials, Academic Achievement, Measures (Individuals), Program Effectiveness
Martin, Michael O., Ed.; Mullis, Ina V.S., Ed.; Chrostowski, Steven J., Ed. – International Association for the Evaluation of Educational Achievement, 2004
This volume describes the technical aspects of TIMSS 2003 and summarizes the main activities involved in the development of the data collection instruments, the data collection itself, and the analysis and reporting of the data. The thirteen chapters contained herein are: (1) Overview of TIMSS 2003 (Michael O. Martin and Ina V. S. Mullis); (2)…
Descriptors: Sampling, Quality Control, Science Tests, Grade 4
Johnstone, Christopher J.; Bottsford-Miller, Nicole A.; Thompson, Sandra J. – National Center on Educational Outcomes, University of Minnesota, 2006
Finding ways to improve the design of large-scale tests is a timely issue. Recent changes in Federal legislation (including the No Child Left Behind Act of 2001) have placed greater emphasis on accountability via large-scale tests. Students who have previously been exempted from large-scale assessments, including students with disabilities and…
Descriptors: Measurement, Testing, Test Construction, Protocol Analysis