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Morehouse, Richard – Routledge, Taylor & Francis Group, 2011
"Beginning Interpretive Inquiry" importantly makes the distinction between the use of "inquiry" rather than interpretive research or interpretive evaluation. Richard Morehouse explores how inquiry is a far more inclusive concept that allows for a detailed understanding of both research and evaluation. The author draws on his personal experiences…
Descriptors: Research Methodology, Data Analysis, Educational Research, Data Collection
National Forum on Education Statistics, 2012
Education data are growing in quantity, quality, and value. When appropriately used to guide action, data can be a powerful tool for improving school operations, teaching, and learning. Education stakeholders who possess the knowledge, skills, and abilities to appropriately access, analyze, and interpret data will be able to use data to take…
Descriptors: Educational Indicators, Data Interpretation, Information Utilization, Data Analysis
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Peugh, James L. – Journal of School Psychology, 2010
Collecting data from students within classrooms or schools, and collecting data from students on multiple occasions over time, are two common sampling methods used in educational research that often require multilevel modeling (MLM) data analysis techniques to avoid Type-1 errors. The purpose of this article is to clarify the seven major steps…
Descriptors: Educational Research, Research Methodology, Data Analysis, Academic Achievement
Johnson, L.; Adams Becker, S.; Cummins, M.; Estrada, V.; Freeman, A.; Ludgate, H. – New Media Consortium, 2013
The New Media Consortium (NMC) and the National Institute for Staff and Organizational Development (NISOD), with the generous support of Dell and Intel, have jointly released the "Technology Outlook for Community, Technical, and Junior Colleges 2013-2018: An NMC Horizon Project Sector Analysis." This report applies the process developed…
Descriptors: Community Colleges, Vocational Schools, Two Year Colleges, Educational Technology
Enders, Craig K. – Guilford Press, 2010
Walking readers step by step through complex concepts, this book translates missing data techniques into something that applied researchers and graduate students can understand and utilize in their own research. Enders explains the rationale and procedural details for maximum likelihood estimation, Bayesian estimation, multiple imputation, and…
Descriptors: Data Analysis, Error of Measurement, Research Problems, Maximum Likelihood Statistics
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Derry, Sharon J.; Pea, Roy D.; Barron, Brigid; Engle, Randi A.; Erickson, Frederick; Goldman, Ricki; Hall, Rogers; Koschmann, Timothy; Lemke, Jay L.; Sherin, Miriam Gamoran; Sherin, Bruce L. – Journal of the Learning Sciences, 2010
Focusing on expanding technical capabilities and new collaborative possibilities, we address 4 challenges for scientists who collect and use video records to conduct research in and on complex learning environments: (a) Selection: How can researchers be systematic in deciding which elements of a complex environment or extensive video corpus to…
Descriptors: Educational Research, Video Technology, Data Collection, Guidelines
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Sweetman, David; Badiee, Manijeh; Creswell, John W. – Qualitative Inquiry, 2010
A concern exists that mixed methods studies do not contain advocacy stances. Preliminary evidence suggests that this is not the case, but to address this issue in more depth the authors examined 13 mixed methods studies that contained an advocacy, transformative lens. Such a lens consisted of incorporating intent to advocate for an improvement in…
Descriptors: Methods Research, Models, Research Methodology, Advocacy
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Symonds, Jennifer E.; Gorard, Stephen – Evaluation & Research in Education, 2010
The classification by many scholars of numerical research processes as quantitative and other research techniques as qualitative has prompted the construction of a third category, that of "mixed methods", to describe studies that use elements from both processes. Such labels might be helpful in structuring our understanding of phenomena. But they…
Descriptors: Research Methodology, Social Sciences, Evaluation Methods, Research Design
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Chen, Chen-Su – National Center for Education Statistics, 2009
This report presents findings on the numbers and types of public elementary and secondary local education agencies (LEAs) in the United States and other jurisdictions in the 2007-08 school year, using data from the Local Education Agency Universe Survey of the Common Core of Data (CCD) survey system. The CCD is an annual collection of data that…
Descriptors: Elementary Secondary Education, School Districts, Public Education, Charter Schools
University of Chicago Consortium on Chicago School Research, 2014
Districts now have access to a wealth of new information that can help target students with appropriate supports and bring focus and coherence to college readiness efforts. However, the abundance of data has brought its own challenges. Schools and school systems are often overwhelmed with the amount of data available. The capacity of districts to…
Descriptors: College Readiness, Educational Indicators, College Preparation, School Districts
Gladden, R. Matthew, Comp.; Vivolo-Kantor, Alana M., Comp.; Hamburger, Merle E., Comp.; Lumpkin, Corey D., Comp. – Centers for Disease Control and Prevention, 2014
Bullying is one type of violence that threatens a youth's well-being in schools and neighborhoods. The impacts of bullying are felt by individuals, families, schools, and society and may result in youths feeling powerless, intimidated, and humiliated by the aggressive acts of other youth(s). This document is designed as a tool to help…
Descriptors: Public Health, Bullying, Aggression, Prevention
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Maxwell, Joseph A. – Qualitative Inquiry, 2010
The use of numerical/quantitative data in qualitative research studies and reports has been controversial. Prominent qualitative researchers such as Howard Becker and Martyn Hammersley have supported the inclusion of what Becker called "quasi-statistics": simple counts of things to make statements such as "some," "usually," and "most" more…
Descriptors: Qualitative Research, Methods Research, Statistical Data, Data Collection
Kotamraju, Pradeep; Richards, Amanda; Wun, Jolene; Klein, Steven G. – National Research Center for Career and Technical Education, 2010
This project assesses the feasibility of creating a voluntary, nationwide data dictionary that can be used to standardize the reporting of postsecondary accountability reporting requirements for the Carl D. Perkins Career and Technical Education Act of 2006 (otherwise known as Perkins IV). Variables, field codes, and programming instructions,…
Descriptors: Information Systems, Profiles, Data Collection, Accountability
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Boller, Kimberly; Kisker, Ellen Eliason – Regional Educational Laboratory, 2014
This guide is designed to help researchers make sure that their research reports include enough information about study measures so that readers can assess the quality of the study's methods and results. The guide also provides examples of write-ups about measures and suggests resources for learning more about these topics. The guide assumes…
Descriptors: Research Reports, Research Methodology, Educational Research, Check Lists
Office of Postsecondary Education, US Department of Education, 2010
This seventh report on the quality of America's teacher preparation programs and novice teachers presents data reported to the U.S. Department of Education (the Department) in October 2007 by all 50 states, the District of Columbia, Puerto Rico and the outlying areas, which include American Samoa, the Federated States of Micronesia, Guam, the…
Descriptors: Teacher Effectiveness, Teacher Certification, Beginning Teachers, Educational Policy
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