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Rebecca Whittle; Joie Ensor; Miriam Hattle; Paula Dhiman; Gary S. Collins; Richard D. Riley – Research Synthesis Methods, 2024
Collecting data for an individual participant data meta-analysis (IPDMA) project can be time consuming and resource intensive and could still have insufficient power to answer the question of interest. Therefore, researchers should consider the power of their planned IPDMA before collecting IPD. Here we propose a method to estimate the power of a…
Descriptors: Data, Individual Characteristics, Participant Characteristics, Meta Analysis
Jeremy Roschelle; Amanda Wortman; Stefani Pautz Stephenson – Digital Promise, 2025
Digital learning platforms (DLPs) can transform educational research by serving as infrastructure that bridges the gap between practice and research. This white paper examines the progress of DLPs in SEERNet, a multi-year initiative funded by the Institute of Education Sciences (IES), which aims to advance research infrastructure. Through…
Descriptors: Electronic Learning, Educational Research, Influence of Technology, Research
Gould, Kaitlin; Gaither, Jamie; Dart, Evan; Weaver, Adam D. – Communique, 2018
Single-case design (SCD) methodology, in which data are displayed in a line graph, can be helpful in determining intervention effectiveness in research and practice. Using visual inspection of graphed data, researchers and practitioners can explore the existence of a functional relationship between implementation of the intervention and a…
Descriptors: School Psychologists, Intervention, Graphs, Data
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Weaver, John A.; Snaza, Nathan – Educational Philosophy and Theory, 2017
This essay defines and critiques "methodocentrism", the belief that predetermined research methods are the determining factor in the validity and importance of educational research. By examining research in science studies and posthumanism, the authors explain how this methodocentrism disenables research from taking account of problems…
Descriptors: Educational Research, Research Methodology, Research Problems, Risk
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Ahmadi, Mohammad; Dileepan, Parthasarati; Wheatley, Kathleen K. – Journal of Education for Business, 2016
This is the decade of data analytics and big data, but not everyone agrees with the definition of big data. Some researchers see it as the future of data analysis, while others consider it as hype and foresee its demise in the near future. No matter how it is defined, big data for the time being is having its glory moment. The most important…
Descriptors: Strategic Planning, Data, Data Analysis, Statistical Analysis
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Nowakowski, Alexandra C. H.; Sumerau, J. E.; Mathers, Lain A. B. – Teaching Sociology, 2016
This conversation explores emerging debates concerning teaching to and about marginalized populations often left out of "representative" data sets. Based on our experiences studying, teaching, and belonging to some of these unrepresented populations, we outline some strategies sociologists may use to transform the limitations of data…
Descriptors: Sociology, Data, Inclusion, Critical Thinking
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Kelley, Elizabeth S.; Goldstein, Howard – Journal of Early Intervention, 2014
This article highlights the development process and data-driven decisions that characterized a 5-year iterative process of development and evaluation of a Tier 2 early language curriculum, "Story Friends." This curriculum was specifically designed to be effective and feasible for high fidelity implementation in preschool settings.…
Descriptors: Curriculum Development, Curriculum Evaluation, Preschool Curriculum, Response to Intervention
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Mus, Stijn – Ethics and Education, 2012
In the wake of the crisis of representation, the qualitative approaches have gained momentum within the social sciences. This crisis has lead to a widespread awareness about the need to incorporate the subject's understanding in the research design. Yet, the validity of qualitative accounts is still regarded as a function of its representative…
Descriptors: Social Sciences, Research Design, Fiction, Qualitative Research
Wing, Coady; Cook, Thomas D. – Society for Research on Educational Effectiveness, 2011
In this paper, the authors examine some of the ways that different types of non-equivalent comparison groups can be used to strengthen causal inferences based on regression discontinuity design (RDD). First, they consider a design that incorporates pre-test data on assignment scores and outcomes that were collected either before the treatment…
Descriptors: Educational Research, Research Design, Inferences, Scores
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Eide, Eric R.; Showalter, Mark H. – Economics of Education Review, 2012
Professors Richard J. Murnane and John B. Willett set out to capitalize on recent developments in education data and methodology by attempting to answer the following questions: How can new methods and data be applied most effectively in educational and social science research? What kinds of research designs are most appropriate? What kinds of…
Descriptors: Social Science Research, Research Methodology, Audiences, Usability
Bangert-Drowns, Robert L. – 1985
Since meta-analysis was described in 1976 (Glass) as the application of familiar experimental methods to the integration of available research, at least five coherent approaches to meta-analysis have appeared in common use. These approaches can be divided into two broad groups. In the first group (including procedures by Robert Rosenthal, Larry…
Descriptors: Data, Effect Size, Error of Measurement, Literature Reviews
Asera, Rose – Carnegie Foundation for the Advancement of Teaching, 2008
Strengthening Pre-collegiate Education in Community Colleges (SPECC) was organized by The Carnegie Foundation for the Advancement of Teaching in partnership with The William and Flora Hewlett Foundation to increase student learning in developmental--or basic skills--classes. However, their concern was not just the success of students in classes…
Descriptors: Research Design, Community Colleges, Action Research, Organizational Change
California Postsecondary Education Commission, 2006
In the fall of 2005, CPEC staff convened an Accountability Technical Advisory Committee (ATAC) with representatives from the public and private university systems, the community college system, the Department of Education, and education researchers. The purpose of this committee was to obtain feedback regarding the Commission's online data…
Descriptors: Advisory Committees, Accountability, Higher Education, Online Systems