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Hubbard, Aleata – Grantee Submission, 2017
The results of educational research studies are only as accurate as the data used to produce them. Drawing on experiences conducting large-scale efficacy studies of classroom-based algebra interventions for community college and middle school students, I am developing practice-based data cleaning procedures to support scholars in conducting…
Descriptors: Educational Research, Mathematics Education, Algebra, Intervention
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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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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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Boyer, Kristy Elizabeth, Ed.; Yudelson, Michael, Ed. – International Educational Data Mining Society, 2018
The 11th International Conference on Educational Data Mining (EDM 2018) is held under the auspices of the International Educational Data Mining Society at the Templeton Landing in Buffalo, New York. This year's EDM conference was highly competitive, with 145 long and short paper submissions. Of these, 23 were accepted as full papers and 37…
Descriptors: Data Collection, Data Analysis, Computer Science Education, Program Proposals
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Pohl, Norval Frederick; Pohl, Barbikay Bissell – Journal of Experimental Education, 1975
This paper discusses three randomized response techniques (the dichotomized question, the unrelated question, and the single question/random answer), the simple probability theory that makes the techniques work, and some questions about the practical application of these techniques by the educator. (Editor)
Descriptors: Data Collection, Educational Research, Error Patterns, Interpersonal Relationship
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Dunkin, Michael J. – Review of Educational Research, 1996
Nine types of errors occurring in the process of synthesizing research are described, with examples from a recent synthesis of research on teacher professional growth. Types of errors include excluding relevant literature, wrongly reporting details such as sample size, erroneously attributing findings to studies, and stating unwarranted…
Descriptors: Data Analysis, Data Collection, Educational Research, Error Patterns
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Ashworth, Gregory J. – Journal of Geography in Higher Education, 1983
The accuracy of data collected by Dutch geography students in a field study of commercial activities in a French city was monitored with data available from official lists. The causes of error, both in student work and official sources, and some lessons for future field work are examined. (Author/IS)
Descriptors: Comparative Education, Data Collection, Educational Research, Error Patterns
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Schwarzmueller, E. Beth; Pounds, Haskin R. – Research in Higher Education, 1984
Some of the errors associated with use of data from the National Center for Education Statistics' Higher Education General Information Survey (HEGIS) are described, 1980 HEGIS and census reports of college enrollment are compared in tables of data, and a more cautious use of HEGIS data is recommended. (MSE)
Descriptors: Data Collection, Databases, Educational Research, Enrollment Rate
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Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis
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Gorard, Stephen; Smith, Emma – International Journal of Lifelong Education, 2006
This article emerges from a recent review of evidence, conducted by the authors and others, on the lifelong barriers to widening participation in higher education in England. This has led us to a consideration of the quality and relevance of the research activity in this large field of endeavour, and to the creation of a typology of the kinds of…
Descriptors: Foreign Countries, Lifelong Learning, Higher Education, Access to Education
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Chapman, David W.; Dhungana, Madhup – Evaluation and Program Planning, 1991
The quality of educational data in Nepal was evaluated by investigating three questions: (1) the extent of reporting error in national education data; (2) accuracy of error estimation; and (3) levels at which error is introduced. Evidence suggests that data may be more accurate than decision makers suppose. (SLD)
Descriptors: Data Collection, Decision Making, Developing Nations, Educational Research
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection