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Larini, Michel; Barthes, Angela – John Wiley & Sons, Inc, 2018
This book presents different data collection and representation techniques: elementary descriptive statistics, confirmatory statistics, multivariate approaches and statistical modeling. It exposes the possibility of giving more robustness to the classical methodologies of education sciences by adding a quantitative approach. The fundamentals of…
Descriptors: Statistical Analysis, Educational Research, Data Collection, Data Processing
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Figlio, David; Karbownik, Krzysztof; Salvanes, Kjell – Education Finance and Policy, 2017
Thanks to extraordinary and exponential improvements in data storage and computing capacities, it is now possible to collect, manage, and analyze data in magnitudes and in manners that would have been inconceivable just a short time ago. As the world has developed this remarkable capacity to store and analyze data, so have the world's governments…
Descriptors: Educational Research, Data, Information Utilization, Management Information Systems
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Slater, Stefan; Joksimovic, Srecko; Kovanovic, Vitomir; Baker, Ryan S.; Gasevic, Dragan – Journal of Educational and Behavioral Statistics, 2017
In recent years, a wide array of tools have emerged for the purposes of conducting educational data mining (EDM) and/or learning analytics (LA) research. In this article, we hope to highlight some of the most widely used, most accessible, and most powerful tools available for the researcher interested in conducting EDM/LA research. We will…
Descriptors: Data Analysis, Data Processing, Computer Uses in Education, Educational Research
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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Huebner, Richard A. – Research in Higher Education Journal, 2013
Educational data mining (EDM) is an emerging discipline that focuses on applying data mining tools and techniques to educationally related data. The discipline focuses on analyzing educational data to develop models for improving learning experiences and improving institutional effectiveness. A literature review on educational data mining topics…
Descriptors: Educational Research, Data Processing, Data Analysis, Organizational Change
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Johnson, Robert C.; Reed, Wornie L. – Negro Educational Review, 1982
Presents an overview of an approach in training Black masters-level students in research, with emphasis on research design, data collection, data analysis, and computer usage. (JCD)
Descriptors: Blacks, Data Analysis, Data Collection, Data Processing
Far West Lab. for Educational Research and Development, San Francisco, CA. – 1979
This report, first in a series of seven, addressed the question, "What events disrupt classroom instruction and what are the most effective techniques teachers use to cope with these distractions?" This report describes the events which occurred in the evolution of the research study. The major sections are: (1) selection of the…
Descriptors: Classroom Observation Techniques, Classroom Techniques, Coping, Data Collection
Robinson, Rosemary; And Others – 1990
This study described teaching methods in use in computer studies classes, explored the reasons for their use, and explored perceptions of effectiveness. Four main research methods were used: semistructured interviews; observation of teaching; perusal of course documents; and informal collection of information by talking to students and tutors. One…
Descriptors: Adult Education, Computer Literacy, Computer Science Education, Data Processing