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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
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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
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Ting Zhang; Paul Bailey; Yuqi Liao; Emmanuel Sikali – Large-scale Assessments in Education, 2024
The EdSurvey package helps users download, explore variables in, extract data from, and run analyses on large-scale assessment data. The analysis functions in EdSurvey account for the use of plausible values for test scores, survey sampling weights, and their associated variance estimator. We describe the capabilities of the package in the context…
Descriptors: National Competency Tests, Information Retrieval, Data Collection, Test Validity
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Lynne Telesca – Language, Speech, and Hearing Services in Schools, 2024
Purpose: Writing is an essential skill that secondary students need to establish for success in their further education, careers, and lives. However, most secondary students in the United States do not achieve the level of writing proficiency expected to ensure academic and future success. One approach that is emerging more in the research…
Descriptors: Metalinguistics, Writing Instruction, Secondary School Students, Teaching Methods
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Tate, Tamara P.; Warschauer, Mark – Technology, Knowledge and Learning, 2019
The quality of students' writing skills continues to concern educators. Because writing is essential to success in both college and career, poor writing can have lifelong consequences. Writing is now primarily done digitally, but students receive limited explicit instruction in digital writing. This lack of instruction means that students fail to…
Descriptors: Writing Tests, Computer Assisted Testing, Writing Skills, Writing Processes
Buckley, Jack – American Enterprise Institute, 2021
As educators confront the challenge of remediating COVID-19 learning loss--and policymakers wrestle with measuring it amid widespread discontent with testing--now is an apt time to consider how much of the current accountability and assessment regime is truly necessary. This report examines the state of testing post-March 2020 and explores how a…
Descriptors: Accountability, COVID-19, Pandemics, Testing
Region 14 Comprehensive Center, 2023
R14CC and the Louisiana Department of Education (LDOE) are collaboratively implementing projects to address high leverage problems such as school systems' fiscal transparency, literacy strategic planning, and post-secondary planning for student success. This profile provides a summary of these selected projects and an overview of state education…
Descriptors: State Departments of Education, Profiles, Academic Achievement, Strategic Planning
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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
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Bond, Jeremy; Zhang, Mingyuan – European Journal of Educational Research, 2017
This study presented a secondary analysis of the National Assessment of Educational Progress (NAEP) dataset. The paper explored the differences between fourth grade reading scores by examining (1) how often the fourth graders discuss their school work at home with family and (2) how often the fourth graders discuss what they were reading with…
Descriptors: National Competency Tests, Reading Achievement, Grade 4, Scores
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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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Zhu, Mengxiao; Shu, Zhan; von Davier, Alina A. – Journal of Educational Measurement, 2016
New technology enables interactive and adaptive scenario-based tasks (SBTs) to be adopted in educational measurement. At the same time, it is a challenging problem to build appropriate psychometric models to analyze data collected from these tasks, due to the complexity of the data. This study focuses on process data collected from SBTs. We…
Descriptors: Measurement, Data Collection, National Competency Tests, Scoring Rubrics
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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
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Hanushek, Eric A.; Peterson, Paul E.; Talpey, Laura M.; Woessmann, Ludger – Education Next, 2019
Income inequality has soared in the United States over the past half century. Has educational inequality increased alongside, in lockstep? Despite the topic's importance, surprisingly little scholarship has focused on long-term changes in the size of the achievement gap between students from higher and lower socioeconomic backgrounds. The authors'…
Descriptors: Achievement Gap, Failure, Advantaged, Academic Achievement
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Nord, C.; Hicks, L.; Hoover, K.; Jones, M.; Lin, A.; Lyons, M.; Perkins, R.; Roey, S.; Rust, K.; Sickles, D. – National Center for Education Statistics, 2011
This user's guide documents the procedures used to collect, process, and summarize data from the 2009 High School Transcript Study (HSTS 2009). Chapters detail the sampling of schools and graduates (chapters 2 and 3), data collection procedures (chapter 4), data processing procedures (chapter 5), and weighting procedures (chapter 6). Chapter 7…
Descriptors: High School Graduates, Academic Records, National Competency Tests, Questionnaires
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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
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