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National Forum on Education Statistics, 2021
"The Forum Guide to Strategies for Education Data Collection and Reporting (SEDCAR)" was created to provide timely and useful best practices for education agencies that are interested in designing and implementing a strategy for data collection and reporting, focusing on these as key elements of the larger data process. It builds upon…
Descriptors: Data Collection, Educational Research, Statistical Data, Data Analysis
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Zilvinskis, John; Willis, James, III; Borden, Victor M. H. – New Directions for Higher Education, 2017
The purpose of this chapter is to provide administrators and faculty with an understanding of learning analytics and its relationship to existing roles and functions so better institutional decisions can be made about investments and activities related to these technologies.
Descriptors: Educational Research, Data Analysis, Decision Making, Learning Activities
Marjorie Cohen; Steve Klein; Cherise Moore – Career and Technical Education Research Network, 2020
By partnering with researchers, state CTE administrators have the opportunity to better understand CTE programming and practices across their states. This is the fourth in a series of six practitioner training modules developed as part of the Career & Technical Education (CTE) Research Network Lead. Designed for CTE practitioners and state…
Descriptors: Vocational Education, Educational Research, Research Utilization, Data Use
Niemi, David, Ed.; Pea, Roy D., Ed.; Saxberg, Bror, Ed.; Clark, Richard E., Ed. – IAP - Information Age Publishing, Inc., 2018
This book provides a comprehensive introduction by an extraordinary range of experts to the recent and rapidly developing field of learning analytics. Some of the finest current thinkers about ways to interpret and benefit from the increasing amount of evidence from learners' experiences have taken time to explain their methods, describe examples,…
Descriptors: Educational Research, Data Collection, Data Analysis, Educational Benefits
Moeller, Eliza; Seeskin, Alex; Nagaoka, Jenny – University of Chicago Consortium on School Research, 2018
The UChicago Consortium, Network for College Success, and the To&Through Project's new paper, "Practice-Driven Data: Lessons from Chicago's Approach to Research, Data, and Practice in Education," shares key lessons learned from Chicago's approach to using data to foster ongoing improvement in students' educational attainment. This…
Descriptors: Public Schools, Data Collection, Data Analysis, Educational Improvement
Jones, Gary – SAGE Publications Ltd (UK), 2018
There is a vast amount of research on what goes on in schools, but how can school leaders sort credible findings from dubious claims and use these to make informed decisions that benefit their schools? How can abstract ideas from research be translated into dynamic plans for action? This book is a practical guide to evidence-based school…
Descriptors: Evidence Based Practice, Instructional Leadership, Middle Management, Decision Making
Nese, Joseph F. T.; Lai, Cheng-Fei; Anderson, Daniel – Behavioral Research and Teaching, 2013
Longitudinal data analysis in education is the study growth over time. A longitudinal study is one in which repeated observations of the same variables are recorded for the same individuals over a period of time. This type of research is known by many names (e.g., time series analysis or repeated measures design), each of which can imply subtle…
Descriptors: Longitudinal Studies, Data Analysis, Educational Research, Hierarchical Linear Modeling
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Akers, Lauren; Resch, Alexandra; Berk, Jillian – National Center for Education Evaluation and Regional Assistance, 2014
This guide for district and school leaders shows how to recognize opportunities to embed randomized controlled trials (RCTs) into planned policies or programs. Opportunistic RCTs can generate strong evidence for informing education decisions--with minimal added cost and disruption. The guide also outlines the key steps to conduct RCTs and responds…
Descriptors: School Districts, Educational Research, Guides, Program Evaluation
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Kekahio, Wendy; Baker, Myriam – Regional Educational Laboratory Pacific, 2013
Using data strategically to guide decisions and actions can have a positive effect on education practices and processes. This facilitation guide shows education data teams how to move beyond simply reporting data to applying data to direct strategic action. Using guiding questions, suggested activities, and activity forms, this guide provides…
Descriptors: Research Utilization, Data Analysis, Strategic Planning, Decision Making
Crow, Tracy, Ed. – National Staff Development Council, 2009
"The Learning Principal" is an eight-page newsletter published eight times a year. It focuses on the important and unique work of school principals. This issue includes: (1) Data Analysis Is a Courageous Look in the Mirror (Valerie von Frank); (2) Q&A: Opening Doors, Opening Minds (Valerie von Frank); (3) Focus on NSDC's [National Staff…
Descriptors: Data Analysis, Principals, Newsletters, Administrator Role
National Forum on Education Statistics, 2013
This document is intended to serve as a practical guide for implementing a teacher-student data link (TSDL) that supports a range of uses at the local, regional, and state levels. The guide addresses the considerations for linking teacher and student data from multiple perspectives, including governance, policies, data components, business rules,…
Descriptors: Data Collection, Data Analysis, Educational Research, Research Utilization
Johnson, L.; Adams Becker, S.; Cummins, M.; Freeman, A.; Ifenthaler, D.; Vardaxis, N. – New Media Consortium, 2013
The "Technology Outlook Australian Tertiary Education 2013-2018: An NMC Horizon Project Regional Analysis" reflects a collaborative research effort between the New Media Consortium (NMC) and Open Universities Australia to help inform Australian educational leaders about significant developments in technologies supporting teaching,…
Descriptors: Foreign Countries, Educational Policy, Higher Education, Consortia
Goldschmidt, Pete; Choi, Kilchan; Martinez, Felipe – US Department of Education, 2004
Monitoring school performance increasingly uses sophisticated analytical techniques. This document investigates whether one such method, hierarchical growth modeling, yields consistent school performance results when different metrics are used as the outcome variable. It is examined as to whether statistical and substantive inferences are altered…
Descriptors: Educational Research, Models, Data Analysis, Academic Achievement
Dailey, Don; Zantal-Wiener, Kathy – 2000
This document presents findings from a 5-year study of the effect of the standards-based reform movement on students with disabilities. The study used pragmatic evaluation strategies that integrated both quantitative and qualitative collection methods of data and site visits to 10 high schools in six districts (including urban, rural, and suburban…
Descriptors: Academic Standards, Data Analysis, Data Collection, Decision Making
Center for Education Statistics (ED/OERI), Washington, DC. – 1987
This notebook contains 21 standards established by the Center for Educational Statistics (CES); CES legislation; and a description of the CES publication and publication review processes. The publication clearance procedures and the external advice and peer review policies are established by the Office of Educational Research and Improvement…
Descriptors: Administrative Principles, Codification, Data Analysis, Data Collection
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