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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
Cheema, Jehanzeb R. – Review of Educational Research, 2014
Missing data are a common occurrence in survey-based research studies in education, and the way missing values are handled can significantly affect the results of analyses based on such data. Despite known problems with performance of some missing data handling methods, such as mean imputation, many researchers in education continue to use those…
Descriptors: Educational Research, Data, Data Collection, Data Processing
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Zhuang, Jie; Chen, Peijie; Wang, Chao; Huang, Liang; Zhu, Zheng; Zhang, Wenjie; Fan, Xiang – Research Quarterly for Exercise and Sport, 2013
Purpose: The purpose of this study was to investigate the characteristics of missing physical activity (PA) data of children and youth. Method: PA data from the Chinese City Children and Youth Physical Activity Study ("N" = 2,758; 1,438 boys and 1,320 girls; aged 9-17 years old) were used for the study. After the data were sorted by the…
Descriptors: Physical Activities, Error of Measurement, Statistical Data, Gender Differences
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Sangasubana, Nisaratana – Qualitative Report, 2011
The purpose of this paper is to describe the process of conducting ethnographic research. Methodology definition and key characteristics are given. The stages of the research process are described including preparation, data gathering and recording, and analysis. Important issues such as reliability and validity are also discussed.
Descriptors: Student Research, Ethnography, Research Methodology, Data Analysis
Welker, Josh – Computers in Libraries, 2012
Any librarian who has managed electronic resources has experienced the--for want of words--"joy" of gathering and analyzing usage statistics. Such statistics are important for evaluating the effectiveness of resources and for making important budgeting decisions. Unfortunately, the data are usually tedious to collect, inconsistently organized, of…
Descriptors: Library Services, Databases, Academic Libraries, Electronic Libraries
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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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Otto, Luther B.; Call, Vaughan R. A. – Journal of Marriage and the Family, 1990
Presents procedure, mixed-radix positional number algorithm, for reducing set of numerous changes and stabilities in multiple roles at given time to a single empirical code. Demonstrates applicability and utility of procedure to wide array of complex family analyses through a simple pedagogical example. (Author/NB)
Descriptors: Change, Data Processing, Family (Sociological Unit), Research Problems
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Huron, David – Computers and the Humanities, 1988
Presents the results of a detailed study of errors in a musical database. Provides an equation for estimating the effect of an overall error-rate on arbitrary analytic measures derived from the database. Examines four methods of error detection: manual proof-reading, double-entry method, programed syntactic checking, and programed heuristics. (GEA)
Descriptors: Data Processing, Databases, Higher Education, Music
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Fortune, Jim C.; McBee, Janice K. – New Directions for Program Evaluation, 1984
Twenty-nine steps necessary for data file preparation for secondary analysis are discussed. Data base characteristics and planned use vary the complexity of the preparation. Required techniques (file verification, sample verification, file merger, data aggregation, file modification, and variable controls) and seven associated pitfalls are defined…
Descriptors: Computer Storage Devices, Data Analysis, Data Collection, Data Processing
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Devedzic, Vladan – Educational Technology & Society, 2004
This paper surveys important aspects of Web Intelligence (WI) in the context of Artificial Intelligence in Education (AIED) research. WI explores the fundamental roles as well as practical impacts of Artificial Intelligence (AI) and advanced Information Technology (IT) on the next generation of Web-related products, systems, services, and…
Descriptors: Foreign Countries, Artificial Intelligence, Internet, Social Networks