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Neidorf, Teresa; Arora, Alka; Erberber, Ebru; Tsokodayi, Yemurai; Mai, Thanh – International Association for the Evaluation of Educational Achievement, 2020
The International Association for the Evaluation of Educational Achievement (IEA) Research for Education series represents a further effort by IEA to capitalize on it's unique datasets, so as to provide powerful information for policymakers and researchers. Each report focuses on a specific topic and is produced by a dedicated team of leading…
Descriptors: Misconceptions, Mathematical Concepts, Scientific Concepts, Mathematics Instruction
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Wang, Jianjun; Ma, Xin – Athens Journal of Education, 2016
The United States invented a matrix sampling technique to impute five plausible scores of student performance in its National Assessment of Educational Progress. That approach was adopted by a Trend in Mathematics and Science Study (TIMSS) for international comparison. In this paper, baseline data from TIMSS 1995 are analyzed at the seventh grade…
Descriptors: Achievement Tests, International Assessment, Mathematics Achievement, Foreign Countries
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Snyder, Thomas D.; Dillow, Sally A. – National Center for Education Statistics, 2013
The 2012 edition of the "Digest of Education Statistics" is the 48th 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: School Statistics, Definitions, Tables (Data), Longitudinal Studies
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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