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Slez, Adam; O'Connell, Heather A.; Curtis, Katherine J. – Sociological Methods & Research, 2017
Areal data have been used to good effect in a wide range of sociological research. One of the most persistent problems associated with this type of data, however, is the need to combine data sets with incongruous boundaries. To help address this problem, we introduce a new method for identifying common geographies. We show that identifying common…
Descriptors: Data, Data Processing, Geographic Information Systems, Research Methodology
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
Antoniadou, Victoria; Dooly, Melinda – Research-publishing.net, 2017
This chapter aims to answer some of the questions that emerge when carrying out educational ethnography in a blended learning environment. The authors first outline how Virtual Ethnography (VE) has been developed and applied by other researchers. Then, to better illustrate the approach, they describe a doctoral research project that implemented…
Descriptors: Ethnography, Blended Learning, Educational Environment, Educational Research
Greenhoot, Andrea Follmer; Dowsett, Chantelle J. – Journal of Cognition and Development, 2012
Existing data sets can be an efficient, powerful, and readily available resource for addressing questions about developmental science. Many of the available databases contain hundreds of variables of interest to developmental psychologists, track participants longitudinally, and have representative samples. In this article, the authors discuss the…
Descriptors: Data Analysis, Developmental Psychology, Research Methodology, Best Practices
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
Lee, In Heok – Career and Technical Education Research, 2012
Researchers in career and technical education often ignore more effective ways of reporting and treating missing data and instead implement traditional, but ineffective, missing data methods (Gemici, Rojewski, & Lee, 2012). The recent methodological, and even the non-methodological, literature has increasingly emphasized the importance of…
Descriptors: Vocational Education, Data Collection, Maximum Likelihood Statistics, Educational Research
Chen, Ling; Liu, Yang; Gallagher, Marcus; Pailthorpe, Bernard; Sadiq, Shazia; Shen, Heng Tao; Li, Xue – Journal of Information Systems Education, 2012
The demand for graduates with exposure in Cloud Computing is on the rise. For many educational institutions, the challenge is to decide on how to incorporate appropriate cloud-based technologies into their curricula. In this paper, we describe our design and experiences of integrating Cloud Computing components into seven third/fourth-year…
Descriptors: Computers, Schools, Foreign Countries, Computer Science
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
Burns, Shelley, Ed.; Wang, Xiaolei, Ed.; Henning, Alexandra, Ed. – National Center for Education Statistics, 2011
Since its inception, the National Center for Education Statistics (NCES) has been committed to the practice of documenting its statistical methods for its customers and of seeking to avoid misinterpretation of its published data. The reason for this policy is to assure customers that proper statistical standards and techniques have been observed,…
Descriptors: National Surveys, Data Processing, Statistical Data, Data Collection
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
Xu, Beijie; Recker, Mimi – Journal of Educational Data Mining, 2011
This article describes the Knowledge Discovery and Data Mining (KDD) process and its application in the field of educational data mining (EDM) in the context of a digital library service called the Instructional Architect (IA.usu.edu). In particular, the study reported in this article investigated a certain type of data mining problem, clustering,…
Descriptors: Electronic Libraries, Library Services, Multivariate Analysis, Electronic Learning
Emery, Jill – Journal of Electronic Resources Librarianship, 2008
The age of networked research and networked data analysis is upon us. "Wired Magazine" proclaims on the cover of their July 2008 issue: "The End of Science. The quest for knowledge used to begin with grand theories. Now it begins with massive amounts of data. Welcome to the Petabyte Age." Computing technology is sufficiently complex at this point…
Descriptors: Information Networks, Data Processing, Pattern Recognition, Data Analysis
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
Suzuki, Lisa A.; Ahluwalia, Muninder K.; Arora, Agnes Kwong; Mattis, Jacqueline S. – Counseling Psychologist, 2007
Qualitative research has increased in popularity among social scientists. While substantial attention has been given to various methods of qualitative analysis, there is a need to focus on strategies for collecting diverse forms of qualitative data. In this article, the authors discuss four sources of qualitative data: participant observation,…
Descriptors: Participant Observation, Counseling Psychology, Research Methodology, Qualitative Research
McConkie, George W.; And Others – 1988
A software package is described that collects and reduces eye behavior data (eye position and pupil size) using an IBM-PC compatible computer. Written in C language for speed and portability, it includes several features: (1) data can be simultaneously collected from other sources (such as electroencephalography and electromyography); (2)…
Descriptors: Computer Software Reviews, Data Collection, Data Processing, Eye Movements
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