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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
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
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
Johnson, Craig W. – 1982
The exponential increase in the availability of microcomputers will have a tremendous impact on educational research. Already, the microcomputer has provided the key to the solution of some previously overwhelming methodological problems. It has enabled investigators to conduct exciting new lines of research while creating more general…
Descriptors: Check Lists, Data Collection, Data Processing, Educational Innovation
Everett, Bruce E. – 1975
This paper summarizes the data management techniques used in a large-scale longitudinal study of intensive, innovative programs. Emphasis is placed on the scope of data collection, the methods used in the study to keep track of students over several years, the techniques used to collect data about students in public schools, the quality control on…
Descriptors: Computer Programs, Data Collection, Data Processing, Educational Innovation

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
Burstein, Leigh – 1975
Since problems associated with the statistical methodology of educational research are becoming increasingly important, this paper examines a subset of problems associated with the analysis and interpretation of aggregated data. Two major questions arise: (1) if a researcher knows the level (e.g., individual, teacher/classroom, school, school…
Descriptors: Data Analysis, Data Collection, Data Processing, Educational Research
Wise, Lauress L.; McLaughlin, Donald H. – 1980
This guidebook is designed for data analysts who are working with computer data files that contain records with incomplete data. It indicates choices the analyst must make and the criteria for making those choices in regard to the following questions: (1) What resources are available for performing the imputation? (2) How big is the data file? (3)…
Descriptors: Algorithms, Computer Software, Data Analysis, Data Collection
Palumbo, Thomas J.; Valdisera, Victor M. – 1978
To evaluate the accuracy of the 1970 census' occupational classification system, a comparison was made between that year's responses to census questions and the replies by the same population group to the 1972 Postcensal Manpower Survey (PMS). Each of these questionnaires relied on a different methodology; in the PMS the respondent classified…
Descriptors: Census Figures, Classification, Comparative Analysis, Data Analysis
Donohue, Joseph – 1979
The unparalleled residue of unsifted primary materials relating to the nineteenth century London theater present tremendous opportunities and challenges for theater historians. The histories of individual London theaters may be studied for insights into changes that distinguished nineteenth century theater from that of the eighteenth century; and…
Descriptors: Computer Programs, Data Collection, Data Processing, Drama
Frymier, Jack – 1995
As part of an effort to reduce high school dropout rates in large city school districts, Phi Delta Kappa, the National Association of Secondary School Principals, the Council of Great City Schools, and a group of large city school districts undertook an effort to determine baseline statistics in high schools in large cities by using standardized…
Descriptors: Data Analysis, Data Collection, Data Processing, Databases
Westmeyer, Paul – 1994
This guide to planning and conducting research projects covers how to decide on a research problem, state a hypothesis, plan for the collection of data, write a proposal, analyze and interpret data, and write the research report. Overall, the book takes a practical, hands-on approach and offers checklists, suggestions, and guidelines for all the…
Descriptors: Bibliographies, Computer Software, Data Analysis, Data Collection