Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 3 |
Since 2006 (last 20 years) | 8 |
Descriptor
Source
Author
Allen, Nancy L. | 3 |
Carlson, James E. | 2 |
Dillow, Sally A. | 2 |
Johnson, Eugene G. | 2 |
Snyder, Thomas D. | 2 |
Zelenak, Christine A. | 2 |
Andersen, Nico | 1 |
Barone, John L. | 1 |
Bay, Luz | 1 |
Beaton, Albert E. | 1 |
Bengs, Daniel | 1 |
More ▼ |
Publication Type
Education Level
Audience
Researchers | 4 |
Location
California | 1 |
Minnesota | 1 |
Nevada | 1 |
New Jersey | 1 |
United States | 1 |
Laws, Policies, & Programs
Individuals with Disabilities… | 2 |
Elementary and Secondary… | 1 |
No Child Left Behind Act 2001 | 1 |
Assessments and Surveys
What Works Clearinghouse Rating
Bergner, Yoav; von Davier, Alina A. – Journal of Educational and Behavioral Statistics, 2019
This article reviews how National Assessment of Educational Progress (NAEP) has come to collect and analyze data about cognitive and behavioral processes (process data) in the transition to digital assessment technologies over the past two decades. An ordered five-level structure is proposed for describing the uses of process data. The levels in…
Descriptors: National Competency Tests, Data Collection, Data Analysis, Cognitive Processes
Zehner, Fabian; Eichmann, Beate; Deribo, Tobias; Harrison, Scott; Bengs, Daniel; Andersen, Nico; Hahnel, Carolin – Journal of Educational Data Mining, 2021
The NAEP EDM Competition required participants to predict efficient test-taking behavior based on log data. This paper describes our top-down approach for engineering features by means of psychometric modeling, aiming at machine learning for the predictive classification task. For feature engineering, we employed, among others, the Log-Normal…
Descriptors: National Competency Tests, Engineering Education, Data Collection, Data Analysis
Institute of Education Sciences, 2018
IES is the primary research, evaluation, and statistics arm of the U.S. Department of Education. Established through the Education Sciences Reform Act of 2002 (ESRA), the Institute's mission is to expand fundamental knowledge and understanding of education and to provide education leaders and practitioners, parents and students, researchers, and…
Descriptors: Educational Research, Grants, Financial Support, Institutional Mission
National Assessment Governing Board, 2012
For more than four decades the National Assessment of Educational Progress (NAEP) has tracked the achievement of U.S. students in major academic subjects. This national resource is the only assessment that states and now many urban districts can look to as an objective yardstick of their performance over time, relative to national benchmarks, and…
Descriptors: Academic Achievement, Data Collection, Information Needs, Needs Assessment
Burns, Shelley, Ed.; Wang, Xiaolei, Ed.; Henning, Alexandra, Ed. – National Center for Education Statistics, 2011
Since its inception, the National Center for Education Statistics (NCES) has been committed to the practice of documenting its statistical methods for its customers and of seeking to avoid misinterpretation of its published data. The reason for this policy is to assure customers that proper statistical standards and techniques have been observed,…
Descriptors: National Surveys, Data Processing, Statistical Data, Data Collection
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
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
Allen, Nancy L.; Donoghue, John R.; Schoeps, Terry L. – Education Statistics Quarterly, 2001
Provides details on the instrument development, sample design, data collection, and data analysis procedures for the 1998 National Assessment of Educational Progress (NAEP) national and state assessments. Includes information necessary to show adherence to testing standards of professional organizations. (SLD)
Descriptors: Academic Achievement, Data Analysis, Data Collection, National Surveys
Patz, Richard J.; Wilson, Mark; Hoskens, Machteld – 1997
The National Assessment of Educational Progress (NAEP) collects data in the form of repeated, discrete measures (test items) with hierarchical structure for both measures and subjects, that is complex by any standard. This complexity has been managed through a "divide and conquer" approach of isolating and evaluating sources of…
Descriptors: Data Analysis, Data Collection, Elementary Secondary Education, Error Patterns
Education Commission of the States, Denver, CO. National Assessment of Educational Progress. – 1983
This brochure describes the mission of National Assessment, the highlights of recent findings, and the procedures used in gathering the data. It also outlines how the project is administered and governed and projects a framework for the development of upcoming assessments. The booklet includes a number of charts and graphs depicting achievement…
Descriptors: Academic Achievement, Cost Estimates, Data Analysis, Data Collection
Kaufman, Phillip – 1996
This paper considers the feasibility of linking a student data sample with the Schools and Staffing Survey (SASS) teacher and administrative data. The National Center for Education Statistics (NCES) has from time to time considered linking their student-based elementary and secondary surveys to the school- and teacher-based surveys. Speculation on…
Descriptors: Cost Effectiveness, Data Analysis, Data Collection, Databases
Searls, Donald T., Ed. – 1983
The purpose of this paper is to provide an overview of the analysis of data collected by the National Assessment of Educational Progress (NAEP). In simplest terms, the analysis can be characterized as establishing baseline estimates of the percentages of young Americans possessing certain skills, knowledge, understandings, and attitudes and…
Descriptors: Data Analysis, Data Collection, Databases, Educational Assessment
Allen, Nancy L.; Carlson, James E.; Zelenak, Christine A. – Education Statistics Quarterly, 1999
Provides details on the instrument development, sample design, data collection, and data analysis procedures of the 1996 National Assessment of Educational Progress (NAEP) long-term trend and main assessments for the United States. (Author/SLD)
Descriptors: Academic Achievement, Data Analysis, Data Collection, Educational Trends
Congress of the U.S., Washington, DC. Senate Committee on Labor and Human Resources. – 1990
The U.S. Senate Committee on Labor and Human Relations reviewed the National Academic Advisory Report Card Act of 1990 (Senate Bill 3095) to authorize the creation of a National Report Card to be published annually to measure the educational achievement of both students and schools and to establish a National Council on Educational Goals. The…
Descriptors: Academic Achievement, Data Analysis, Data Collection, Educational Assessment