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Michelle L. Stransky; Laneva Cobb; Nina Menon; Emily Barnard; Cynthia Belfleur; Lawrence Scahill; Jocelyn Kuhn – Journal of Autism and Developmental Disorders, 2025
The National Institute of Mental Health created the National Database for Autism Research (NDAR) to accelerate autism knowledge through data sharing and collaboration. However, our experience using NDAR reveals systematic challenges across several aspects of data submission, selection, management, and analysis that limit utility of this resource.…
Descriptors: Behavior Rating Scales, Adjustment (to Environment), Diagnostic Tests, Observation
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Antoniadou, Victoria – Research-publishing.net, 2017
Reflecting the inter-connected reality of today's world, contemporary education is striving to keep up with the exponentially rapid changes that individuals around the globe are facing. Innovative educational proposals carry labels such as connective learning (Downes, 2006), e-learning 2.0 (Downes, 2005), education 2.0 (Carr et al., 2008), or…
Descriptors: Data Collection, Data Analysis, Qualitative Research, Data Processing
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Pouchard, Line; Bracke, Marianne Stowell – Issues in Science and Technology Librarianship, 2016
This paper describes a survey of data practices given to the Purdue College of Agriculture. Data practices are a concern for many researchers with new governmental funding mandates that require data management plans, and for the institution providing resources to comply with these mandates. The survey attempted to answer these questions: What are…
Descriptors: Agricultural Education, Case Studies, Data Processing, Data
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Rodriguez, Sheila M.; Estacion, Angela – Regional Educational Laboratory Northeast & Islands, 2014
As the name indicates, the College Readiness Data Catalog Tool focuses on identifying data that can indicate a student's college readiness. While college readiness indicators may also signal career readiness, many states, districts, and other entities, including the U.S. Virgin Islands (USVI), do not systematically collect career readiness…
Descriptors: College Readiness, Data, Educational Indicators, Data Collection
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Lazarony, Paul J.; Driscoll, Donna A. – American Journal of Business Education, 2011
Researchers are often distressed to discover that the data they wanted to use in their landmark study is not configured in a way that is usable by a Statistical Analysis Software Package (SASP). For example, the data needed may come from two or more sources and it may not be clear to the researcher how to get them combined into one analyzable…
Descriptors: Data Processing, Statistical Analysis, Database Management Systems, Experiential Learning
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Zur, Ayala; Eisikovits, Rivka A. – International Journal of Qualitative Studies in Education (QSE), 2011
The study presents a phenomenologically based research procedure, whose intent is to examine people's school experience and the meaning they ascribe to "school." Participants in this investigative endeavor are instructed to sketch an "ideal school," present their plan in a visual-schematic manner, and provide an oral and written description of…
Descriptors: Research Tools, Educational Experience, Educational Environment, Phenomenology
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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
Haas, M. W. – J Geol Educ, 1969
Descriptors: College Science, Data Processing, Paleontology, Research Methodology
Morland, Richard B. – 1981
This handbook lists step-by-step the procedures for making Statistical Package for the Social Sciences (SPSS) runs on the interactive computer. The programs follow the Loma Linda University Revision 2.1 as adapted for the Data General Eclipse Systems. The four-step process includes instructions for developing the codebook, building the data and…
Descriptors: Computer Programs, Data Processing, Programing Languages, Research Tools
John, Robert W. – Music Educ J, 1969
Descriptors: Computer Programs, Computers, Data Processing, Experimental Programs
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Pease, Edward J. – 1980
Intended for dance historians and teachers of the art who need access to information about dance music, scores, and recordings, this manual includes a discussion of information resources, an annotated bibliography, a guide to recordings, and a selected discography of the music of dance. Sections detail the following: essential research manuals;…
Descriptors: Annotated Bibliographies, Dance, Data Processing, Discographies
Teplitzky, Frank – 1972
General and specialized terms developed in data communications in recent years are listed alphabetically and defined. The list is said to be more representative than exhaustive and is intended for use as a reference source. Approximately 140 terms are included. (Author/SK)
Descriptors: Communications, Computer Science, Data Processing, Glossaries
Ashenhurst, Robert L. – 1973
The introduction and diffusion of automatic computing facilities during the 1960's is reviewed; it is described as a time when research strategies in a broad variety of disciplines changed to take advantage of the newfound power provided by the computer. Several types of typical problems encountered by researchers who adopted the new technologies,…
Descriptors: Computer Assisted Instruction, Computer Oriented Programs, Computer Science, Computers
Schulz, J. – Meta, 1980
The TEAM system is a data bank developed in Germany for translators of specialized technical, economic, and scientific texts. The system is described in nontechnical language, with attention to multilingual terminology, multiword terms, phraseology, definitions and contexts, synonyms, grammatical data, and data organization and retrieval. (MSE)
Descriptors: Computer Oriented Programs, Data Processing, Databases, Information Retrieval
Schoenfeldt, Lyle F.; Cooley, William W. – 1968
This paper describes the advances in storing and accessing large resources of data as well as possibilities for utilizing these archives in research, instruction, and policy planning. Particular reference is made to the Project TALENT Data Bank. Project TALENT is described briefly. A section summarizes the state of computer technology with respect…
Descriptors: Computer Science, Data Processing, Higher Education, Information Processing
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