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Jennifer Wine; Beth Hustedt; Jennifer Cooney; Erin Thomsen – National Center for Education Statistics, 2023
This report describes the design, methods, and results of the 2016/20 Baccalaureate and Beyond Longitudinal Study (B&B:16/20) conducted by the U.S. Department of Education's National Center for Education Statistics (NCES). It is the second follow-up with a cohort of bachelor's degree recipients originally identified during the 2015-16 National…
Descriptors: Longitudinal Studies, College Graduates, Bachelors Degrees, College Students
Douglas Gagnon; Ela Joshi; Nicole Arshan; Eliese Rulifson; Elise Levin-Güracar; Tejaswini Tiruke – Grantee Submission, 2023
The Mathematics, 3D Printing, and Computational Thinking Through Work-Based Learning (MPACT) program relies on teacher professional development, specialized curriculum and materials, and STEM industry mentors to provide grades 4-7 students with project-based experiences implemented across three learning modules. This technical report presents…
Descriptors: Mathematics Education, Computer Peripherals, Printing, Computation
Douglas Gagnon; Ela Joshi; Nicole Arshan; Eliese Rulifson; Elise Levin-Güracar; Tejaswini Tiruke – SRI Education, a Division of SRI International, 2023
The Mathematics, 3D Printing, and Computational Thinking Through Work-Based Learning (MPACT) program combines teacher professional development, specialized curriculum and materials and STEM industry mentors to provide grade 4-7 students with project-based experiences implemented across three learning modules. This technical report presents…
Descriptors: Mathematics Education, Computer Peripherals, Printing, Computation
Fraillon, Julian; Ainley, John; Schulz, Wolfram; Friedman, Tim; Duckworth, Daniel – International Association for the Evaluation of Educational Achievement, 2020
The International Association for the Evaluation of Educational Achievement (IEA) has been researching the impact of information and communications technologies (ICT) on educational processes, and factors supporting or impeding the pedagogical use of ICT, since the late-1980s. More recently it has turned its attention to investigating ICT-related…
Descriptors: Educational Technology, Technology Uses in Education, Barriers, Information Technology
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
Alonzo, Julie; Anderson, Daniel – Behavioral Research and Teaching, 2018
In response to a request for additional analyses, in particular reporting confidence intervals around the results, we re-analyzed the data from prior studies. This supplementary report presents the results of the additional analyses addressing classification accuracy, reliability, and criterion-related validity evidence. For ease of reference, we…
Descriptors: Curriculum Based Assessment, Computation, Statistical Analysis, Accuracy
Alonzo, Julie; Anderson, Daniel – Behavioral Research and Teaching, 2018
In response to a request for additional analyses, in particular reporting confidence intervals around the results, we re-analyzed the data from prior studies. This supplementary report presents the results of the additional analyses addressing classification accuracy, reliability, and criterion-related validity evidence. For ease of reference, we…
Descriptors: Curriculum Based Assessment, Computation, Statistical Analysis, Classification
Kim, YoungKoung; DeCarlo, Lawrence T. – College Board, 2016
Because of concerns about test security, different test forms are typically used across different testing occasions. As a result, equating is necessary in order to get scores from the different test forms that can be used interchangeably. In order to assure the quality of equating, multiple equating methods are often examined. Various equity…
Descriptors: Equated Scores, Evaluation Methods, Sampling, Statistical Inference
Schmitt, Lisa; Hutchins, Shaun – Online Submission, 2016
This report provides an overview of the process used to derive a school's growth level and summarizes 2015 math and reading/ELA growth levels for all AISD elementary, middle and high schools. Additionally, longitudinal data are provided for each school level.
Descriptors: School Districts, Academic Achievement, Elementary School Students, Middle School Students
Ewing, Maureen; Wyatt, Jeffrey N.; Smith, Kara – College Board, 2016
Historically, AP Potential™ has used PSAT/NMSQT® scores to identify students who are likely to earn a 3 or higher on a specific AP® Exam--based on research showing moderate to strong relationships between PSAT/NMSQT scores and AP Exam scores (Camara & Millsap, 1998; Ewing, Camara & Millsap, 2006; Zhang, Patel & Ewing, 2014a). For most…
Descriptors: Advanced Placement Programs, Talent Identification, College Entrance Examinations, High School Students
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Bai, Haiyan – Journal of Experimental Education, 2013
Propensity score estimation plays a fundamental role in propensity score matching for reducing group selection bias in observational data. To increase the accuracy of propensity score estimation, the author developed a bootstrap propensity score. The commonly used propensity score matching methods: nearest neighbor matching, caliper matching, and…
Descriptors: Statistical Inference, Sampling, Probability, Computation
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Bohrnstedt, G.; Kitmitto, S.; Ogut, B.; Sherman, D.; Chan, D. – National Center for Education Statistics, 2015
The School Composition and the Black-White Achievement Gap study was undertaken by the National Center for Education Statistics to present both descriptive and associative information on the relationships among the percentage of students in a school who were Black (referred to as "Black student density" or "density"), the…
Descriptors: School Demography, Racial Composition, Achievement Gap, African American Students
Cartwright, Fernando – OECD Publishing (NJ1), 2012
This study examines the feasibility of reporting scores of a test based on the Programme for International Student Assessment (PISA) 2000 instrument that was administered to a sample of 25-year-old Youth in Transition Survey (YITS) respondents on the PISA scale. Each of these respondents also participated in PISA 2000. The study examines the…
Descriptors: Foreign Countries, Foreign Students, Reading Achievement, Reading Skills
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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
National Dropout Prevention Center for Students with Disabilities, 2013
The National Dropout Prevention Center for Students with Disabilities (NDPC-SD) was assigned the task of compiling, analyzing, and summarizing the data for Indicator 2--Dropout--from the FFY 2011 Annual Performance Reports (APRs) and the revised State Performance Plans (SPPs), which were submitted to the Office of Special Education Programs (OSEP)…
Descriptors: Dropout Prevention, Disabilities, Dropouts, Special Education
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