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Download full textEgan, 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
Fife, James H.; James, Kofi; Peters, Stephanie – ETS Research Report Series, 2020
The concept of variability is central to statistics. In this research report, we review mathematics education research on variability and, based on that review and on feedback from an expert panel, propose a learning progression (LP) for variability. The structure of the proposed LP consists of 5 levels of sophistication in understanding…
Descriptors: Mathematics Education, Statistics Education, Feedback (Response), Research Reports
Johnson, Eugene – 1988
The special characteristics of the data from the National Assessment of Educational Progress (NAEP) that affect the validity of conventional techniques of statistical analysis are considered. In contrast to the assumptions underlying standard methods of statistical analysis, the NAEP samples are obtained via a stratified multi-stage probability…
Descriptors: Achievement Tests, Data Analysis, Elementary Secondary Education, Mathematics Tests
Beaton, Albert E.; Gonzalez, Eugenio – 1995
This guide to the National Assessment of Educational Progress (NAEP) is designed to help the secondary data analyst use the NAEP and to introduce some of the sophisticated technology used by the NAEP. The NAEP has been gathering information on American students since 1969. It samples populations that consist of all students in U.S. schools, both…
Descriptors: Achievement Tests, Data Analysis, Databases, Educational Trends
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
Blais, Jean-Guy – 1993
Tools used in scaling proficiency scores from the Second International Assessment of Educational Progress (IAEP) are described. The second IAEP study, conducted in 1991, was an international comparative study of the mathematics and science skills of samples of 9- and 13-year-old students from 20 countries. This paper focuses on part of the second…
Descriptors: Academic Achievement, Adolescents, Cross Cultural Studies, Data Analysis
