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Mikheeva, Ekaterina, Ed.; Meyer, Sebastian, Ed. – International Association for the Evaluation of Educational Achievement, 2020
IEA's International Computer and Information Literacy Study (ICILS) 2018 is designed to assess how well students are prepared for study, work, and life in a digital world. The study measures international differences in students' computer and information literacy (CIL): their ability to use computers to investigate, create, participate, and…
Descriptors: International Assessment, Computer Literacy, Information Literacy, Computer Assisted Testing
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
Fraillon, Julian, Ed.; Ainley, John, Ed.; Schulz, Wolfram, Ed.; Friedman, Tim, Ed.; Duckworth, Daniel, Ed. – International Association for the Evaluation of Educational Achievement, 2020
IEA's International Computer and Information Literacy Study (ICILS) 2018 investigated how well students are prepared for study, work, and life in a digital world. ICILS 2018 measured international differences in students' computer and information literacy (CIL): their ability to use computers to investigate, create, participate, and communicate at…
Descriptors: International Assessment, Computer Literacy, Information Literacy, Computer Assisted Testing
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
Feng, Mingyu; Beck, Joseph E.; Heffernan, Neil T. – International Working Group on Educational Data Mining, 2009
A basic question of instructional interventions is how effective it is in promoting student learning. This paper presents a study to determine the relative efficacy of different instructional strategies by applying an educational data mining technique, learning decomposition. We use logistic regression to determine how much learning is caused by…
Descriptors: Data Analysis, Intelligent Tutoring Systems, Sampling, Statistical Inference
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
Ingels, Steven J.; Quinn, Peggy – 1996
The National Education Longitudinal Studies Program (NELS) is a long-term effort that encompasses the educational experience of youth from three decades. This report is based on the National Education Longitudinal Study of 1988 (NELS:88), a component of the NELS series that began as a national probability sample of eighth grade schools and…
Descriptors: Data Analysis, Educational Experience, Elementary Secondary Education, Eligibility
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
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
Ingels, Steven J.; And Others – 1990
This manual has been produced to familiarize data users with the procedures used for data collection and processing of the base year parent component of the National Education Longitudinal Study of 1988 (NELS:88) and to provide necessary documentation for using the data files. Chapter 7 and Appendix F, in particular, contain essential information…
Descriptors: Data Analysis, Data Collection, Databases, Educational History
Koffler, Stephen L.; And Others – 1991
This report documents the design and data analysis procedures of the Trial State Assessment Program of the National Assessment of Educational Progress (NAEP). Today the NAEP is the only survey using advanced plausible values methodology that uses a multiple imputation procedure in a psychometric context. The 1990 Trial State Assessment collected…
Descriptors: Data Analysis, Educational Testing, Grade 8, Junior High Schools
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
Kentucky State Dept. of Education, Frankfort. Div. of Evaluation. – 1974
The Kentucky Education 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 eighth grade, relevant information was gathered in five…
Descriptors: Accountability, Basic Skills, Citizenship, Data Analysis
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