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Stemler, Steve – 2001
This digest provides an introduction to content analysis, a systematic, replicable technique for compressing many words of a text into fewer content categories based on explicit rules of coding. This allows inferences to be made that can then be corroborated using other methods of data collection. In a technical sense, content analysis is not…
Descriptors: Coding, Content Analysis, Data Collection, 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
Carew, Jean V. – 1980
The main purpose of this paper is to delineate methods of data collection and coding currently being used in a longitudinal observational study of toddlers in 25 black families in Oakland, California. Data collection activities, accomplished through monthly three-hour visits to each home, focused on five types of data: (1) videotaped and…
Descriptors: Blacks, Child Development, Data Collection, Family Environment
Shannon, David M.; Johnson, Todd E.; Searcy, Shelby; Lott, Alan – 2002
This Digest summarizes the results of a survey administered to the American Educational Research Associations Survey Research Special Interest Group regarding the use of electronic surveys and discusses their responses in the context of the existing literature base. Topics include the conditions under which use of e-mail or Web-based surveys would…
Descriptors: Computer Literacy, Costs, Data Collection, Electronic Mail
Brem, Sarah K. – 2002
This Digest introduces ethical considerations related to acquiring and analyzing online data and provides resources to support sound practice. Because online conversation is relatively new and unfamiliar, and takes place at a distance, participants may not realize or may not remember that their conversations could be made public. A researcher…
Descriptors: Confidentiality, Data Collection, Educational Researchers, Electronic Mail
ERIC Clearinghouse on Assessment and Evaluation, Washington, DC. – 1997
This digest reviews the basic building blocks of a structured interview, points out some of the pitfalls in interviewing, and suggests ways for researchers to avoid these difficulties to produce questions that have the best possibility of generating reliable and accurate data on the topics of interest. The data collection instrument is a document…
Descriptors: Data Collection, Educational Research, Elementary Secondary Education, Higher Education
Bangert-Drowns, Robert L.; Rudner, Lawrence M. – 1991
Meta-analysis is a collection of systematic techniques for resolving apparent contradictions in research findings. Meta-analysts translate results from different studies to a common metric and statistically explore the relations between study characteristics and findings. Since G. Glass first used the term "meta-analysis" in 1976, it has…
Descriptors: Comparative Analysis, Data Collection, Definitions, Educational Research
Mullis, Ina V. S. – 1990
This digest describes the organization of the National Assessment of Educational Progress (NAEP) and what is included in a typical NAEP assessment. The way in which the NAEP selects students for assessments and how the assessments are used are discussed. The NAEP is a congressionally mandated project of the National Center for Education…
Descriptors: Academic Achievement, Data Collection, Educational Assessment, Elementary Secondary Education
Wade, Howard H. – 2001
Schools are realizing that carefully collected and analyzed data represent the key to educational improvement. This digest outlines the most useful types of data to drive the school-improvement process, steps that must be taken to collect and analyze data, the role of administrators in guiding the data-driven reform process, and results that can…
Descriptors: Academic Achievement, Administrator Role, Change Strategies, Data
Shavelson, Richard J.; And Others – 1991
Some steps to identify an initial set of indicators and to develop alternative indicator systems are outlined for educational evaluation and illustrated through the example of a National Science Foundation (NSF) study of mathematics and science education. The first step is to conceptualize potential indicators to specify a comprehensive monitoring…
Descriptors: Data Collection, Educational Assessment, Educational Indicators, Educational Policy
Utley, Cheryl A.; Obiakor, Festus E. – 1997
This digest reviews scientific and methodological problems in special education research related to race, ethnicity, and socioeconomic status. The first section of the digest discusses the various definitions of race, ethnicity, culture, and socioeconomic status. The problems with current race classification and the difficulties in determining the…
Descriptors: Cultural Differences, Data Analysis, Data Collection, Disabilities
Borgia, Eileen T.; Schuler, Dorothy – 1996
Action research is an approach to professional development and improved student learning in which teachers systematically reflect on their work, seek feedback from colleagues, and make changes in their practice. Several benefits of action research have been cited: (1) teachers investigate their own practice in a new way, looking at what children…
Descriptors: Action Research, Classroom Research, Critical Thinking, Data Collection
MacDougall, Peter, Ed.; Friedlander, Jack, Ed. – New Directions for Community Colleges, 1990
Recent mandates from state and accrediting agencies are requiring community colleges to provide evidence of their success in such areas as basic skills and remediation, general education, major-field content, student development, transfer effectiveness, job training, job placement, and fiscal accountability. This volume, in addition to describing…
Descriptors: Accreditation (Institutions), Community Colleges, Consortia, Data Collection