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Zachary K. Collier; Joshua Sukumar; Roghayeh Barmaki – Practical Assessment, Research & Evaluation, 2024
This article introduces researchers in the science concerned with developing and studying research methods, measurement, and evaluation (RMME) to the educational data mining (EDM) community. It assumes that the audience is familiar with traditional priorities of statistical analyses, such as accurately estimating model parameters and inferences…
Descriptors: Educational Indicators, School Statistics, Data Analysis, Information Retrieval
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Bryan, Michael; Cooney, Darryl; Elliott, Barbara – National Center for Education Statistics, 2019
The 2012/17 Beginning Postsecondary Students Longitudinal Study (BPS:12/17), conducted by the National Center for Education Statistics (NCES) at the U.S. Department of Education, is the second follow-up of students who began postsecondary education in the 2011-12 academic year. BPS:12/17 draws from the 2011-12 National Postsecondary Student Aid…
Descriptors: Longitudinal Studies, Postsecondary Education, Student Financial Aid, School Statistics
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Chen, Chen-Su; Sable, Jennifer; Mitchell, Lindsey; Liu, Fei – National Center for Education Statistics, 2012
The Common Core of Data (CCD) nonfiscal surveys consist of data submitted annually to the National Center for Education Statistics (NCES) by state education agencies (SEAs) in the 50 states, the District of Columbia, Puerto Rico, the four U.S. Island Areas (American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin…
Descriptors: School Surveys, Documentation, State Surveys, Annual Reports
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Baker, Ryan S. J. D.; Yacef, Kalina – Journal of Educational Data Mining, 2009
We review the history and current trends in the field of Educational Data Mining (EDM). We consider the methodological profile of research in the early years of EDM, compared to in 2008 and 2009, and discuss trends and shifts in the research conducted by this community. In particular, we discuss the increased emphasis on prediction, the emergence…
Descriptors: Trend Analysis, Educational History, Educational Research, Research Methodology
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Wine, Jennifer; Bryan, Michael; Siegel, Peter – National Center for Education Statistics, 2013
The National Postsecondary Student Aid Study (NPSAS) helps fulfill the U.S. Department of Education's National Center for Education Statistics (NCES) mandate to collect, analyze, and publish statistics related to education. The purpose of NPSAS is to compile a comprehensive research dataset, based on student-level records, on financial aid…
Descriptors: Postsecondary Education, Student Financial Aid, Institutional Characteristics, Research Methodology
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Wine, Jennifer; Bryan, Michael; Siegel, Peter – National Center for Education Statistics, 2013
The National Postsecondary Student Aid Study (NPSAS) helps fulfill the U.S. Department of Education's National Center for Education Statistics (NCES) mandate to collect, analyze, and publish statistics related to education. The purpose of NPSAS is to compile a comprehensive research dataset, based on student-level records, on financial aid…
Descriptors: Postsecondary Education, Student Financial Aid, School Statistics, Institutional Characteristics
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Wine, Jennifer; Bryan, Michael; Siegel, Peter – National Center for Education Statistics, 2013
This report describes the methods and results for the 2011-12 National Postsecondary Student Aid Study (NPSAS:12), conducted for the U.S. Department of Education's National Center for Education Statistics (NCES), Washington, DC. The following legislation authorizes this and previous cycles of NPSAS, as well as two longitudinal studies deriving…
Descriptors: Postsecondary Education, Student Financial Aid, Research Methodology, School Statistics
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Ingels, Steven J.; Pratt, Daniel J.; Herget, Deborah R.; Burns, Laura J.; Dever, Jill A.; Ottem, Randolph; Rogers, James E.; Jin, Ying; Leinwand, Steve – National Center for Education Statistics, 2011
The High School Longitudinal Study of 2009 (HSLS:09) is the fifth in a series of National Center for Education Statistics (NCES) secondary longitudinal studies. The core research questions for HSLS:09 explore secondary to postsecondary transition plans and the evolution of those plans; the paths into and out of science, technology, engineering,…
Descriptors: High Schools, Longitudinal Studies, Secondary Education, School Statistics
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Padgett, Ryan D.; Kilgo, Cindy A. – National Resource Center for the First-Year Experience and Students in Transition, 2012
In 2011, the National Resource Center for The First-Year Experience and Students in Transition revisited its 1999 National Survey of Senior Seminars and Capstone Courses to explore the current state of culminating experiences in American higher education. Drawn from a sample of public and private colleges and universities across the country, the…
Descriptors: National Surveys, College Seniors, Curriculum, Student Experience
Padgett, Ryan D.; Keup, Jennifer R. – National Resource Center for the First-Year Experience and Students in Transition, 2011
Findings from the ninth triennial administration of the National Survey of First-Year Seminars, describing the nature and extent of first-year seminars on American college campuses. Drawn from a broad sample of colleges and universities from every institutional type, control, and size, the survey addresses topics including seminar characteristics…
Descriptors: National Surveys, First Year Seminars, Research Reports, School Support
Strange, Marty; Johnson, Jerry; Showalter, Daniel; Klein, Robert – Rural School and Community Trust, 2012
"Why Rural Matters 2011-12" is the sixth in a series of biennial reports analyzing the contexts and conditions of rural education in each of the 50 states and calling attention to the need for policymakers to address rural education issues in their respective states. While it is the sixth in a series, this report is not simply an…
Descriptors: Rural Schools, Rural Education, Educational Policy, Annual Reports
Tuttle, Christina Clark; Teh, Bing-ru; Nichols-Barrer, Ira; Gill, Brian P.; Gleason, Philip – Mathematica Policy Research, Inc., 2010
In this set of four supplemental tables, the authors compare the baseline test scores of the treatment and matched control group samples observed in each year after KIPP entry (outcome years 1 to 4). As discussed in Chapter III, the authors used an iterative propensity score estimation procedure to calculate each student's probability of entering…
Descriptors: Control Groups, Middle Schools, Student Characteristics, Tables (Data)
Florida State Dept. of Education, Tallahassee. Div. of Elementary and Secondary Education. – 1974
This report briefly describes and analyzes several of the most frequently used techniques for depicting trends and making projections of education statistics. Each technique is described simply and nontechnically, with its uses and shortcomings, and a step-by-step analytical and graphic example and explanation. Projection techniques described…
Descriptors: Data Analysis, Graphs, Predictive Measurement, Research Methodology
Creighton, Theodore B. – Corwin Press, 2006
Since the first edition of "Schools and Data", the No Child Left Behind Act has swept the country, and data-based decision making is no longer an option for educators. Today's educational climate makes it imperative for all schools to collect data and use statistical analysis to help create clear goals and recognize strategies for…
Descriptors: Federal Legislation, Program Evaluation, Educational Technology, Decision Making
Ballantyne, Marina; And Others – 1984
The Institute for Research on Educational Finance and Governance (IFG) has designed and implemented a major survey of public and private schools in the six-county San Francisco Bay Area which focuses on organizational dimensions in elementary and secondary schools. Private schools include Catholic parochial and private schools, independent…
Descriptors: Charts, Comparative Analysis, Data Analysis, Data Collection
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