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Download full textMirazchiysi, Plamen Vladkov – Athens Journal of Education, 2019
This article is a response to an article written by Wang and Ma "An Examination of Plausible Score Correlation from the Trend in Mathematics and Science Study", published in the Athens Journal of Education. The purpose of this paper is to address issues with Wang's and Ma's suggestion to use analysis method for correlating plausible…
Descriptors: Achievement Tests, International Assessment, Foreign Countries, Mathematics Achievement
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
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
Provasnik, Stephen; Malley, Lydia; Neidorf, Teresa; Arora, Alka; Stephens, Maria; Balestreri, Kathryn; Herz, Katie; Perkins, Robert; Tang, Judy H. – National Center for Education Statistics, 2019
"U.S. Performance on the 2015 TIMSS Advanced Mathematics and Physics Assessments: A Closer Look" expands upon the results described in NCES' [National Center for Education Statistics'] initial "Highlights" report on TIMSS Advanced. This new report provides in-depth analyses that (1) examine the demographics, school…
Descriptors: Elementary Secondary Education, Achievement Tests, Mathematics Achievement, Science Achievement
Direct linkvan Rijn, Peter W.; Sinharay, Sandip; Haberman, Shelby J.; Johnson, Matthew S. – Large-scale Assessments in Education, 2016
Latent regression models are used for score-reporting purposes in large-scale educational survey assessments such as the National Assessment of Educational Progress (NAEP) and Trends in International Mathematics and Science Study (TIMSS). One component of these models is based on item response theory. While there exists some research on assessment…
Descriptors: Goodness of Fit, Item Response Theory, Regression (Statistics), National Competency Tests
Aydogdu, Bülent – Asia-Pacific Forum on Science Learning and Teaching, 2015
The aim of this study is to examine preservice science teachers' skills of formulating hypotheses and identifying variables. The research has a phenomenological research design. The data was gathered qualitatively. In this study, preservice science teachers were first given two scenarios (Scenario-1 & Scenario-2) containing two different…
Descriptors: Preservice Teachers, Science Teachers, Science Process Skills, Hypothesis Testing
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
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
