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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
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
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
Direct linkPham, 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
Kentucky State Dept. of Education, Frankfort. Div. of Evaluation. – 1974
The Kentucky Educational Assessment Program is an ongoing effort to gather information regarding progress toward attainment of the educational goals for Kentucky citizens. Major emphasis is on the determination of the actual level of pupil performance in relation to desired performance. In the fourth grade, relevant information was gathered in…
Descriptors: Accountability, Basic Skills, Data Analysis, Educational Assessment
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
Kentucky State Dept. of Education, Frankfort. – 1971
The Kentucky State plan for the collection of data concerning the cognitive, affective and psychomotor needs of school children is discussed. The plan entailed three phases: (1) the identification of learner needs; (2) translating needs priorities into program goals and field testing the program objectives in a sampling of school districts to…
Descriptors: Affective Behavior, Cognitive Processes, Data Analysis, Data Collection
Johnson, Eugene G.; And Others – 1990
Details of the design and data analysis associated with the 1988 National Assessment of Educational Progress (NAEP) are presented. The 1988 NAEP surveyed American students' knowledge of reading, writing, civics, U.S. history, and geography. Small-scale studies were conducted for mathematics and science. Populations included public school students…
Descriptors: Annual Reports, Data Analysis, Databases, Educational Assessment
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
Johnson, Eugene G.; And Others – 1994
The 1992 National Assessment of Educational Progress (NAEP) monitored the performance of students in American schools in reading, mathematics, science, and writing. The sample consisted of more than 145,000 public and private school students in grades 4, 8, 11, and 12. This technical report provides details of instrument development, sample…
Descriptors: Academic Achievement, Data Analysis, Data Collection, Educational Assessment
