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Measurement for Improvement in Education

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Measurement for Improvement in Education

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This article focuses on “measurement for improvement,” which is the analytic work critical to making and spreading effective changes in quality improvement approaches to system transformation. Quality improvement methods aim to trigger and accelerate the learning of people within a system to make that system work better. This is accomplished through the careful attention of those who experience and enact the system at various levels and by leveraging the expertise from within and outside of the system. Measurement provides critical fuel for that learning. “Measurement for improvement” serves as an umbrella term encompassing a range of measures discussed by quality improvement scholars. These other terms include “process measures,” “practical measures,” and “pragmatic measures.” Data about system outcomes are often a key motivating factor for spurring improvement efforts, for example, low students’ graduation rates or low achievement test scores. However, outcome measures typically fall short of the data needed to inform the day-to-day work of trying changes in practice and learning from these change efforts. Instead, measures of key processes that lead to system outcomes are needed. Measures for improvement need to be closely connected to key processes, timely, and easy to collect and analyze on a regular basis by people in the system. They must also function within social processes that engender trust and transparency so that improvers can learn from failures as well as successes. The education sector has looked to quality improvement efforts in health care as a model for this work, and this article draws heavily on key texts from quality improvement in health care. However, there are some key differences in the types of data regularly available between the fields of health care and education; these differences prompt attention to certain measurement concerns, which are taken up in the references included in this article. The article begins with History and Lineage, which includes some key references that trace quality improvement ideas from industry to health care to education. The next section, Features of Measures for Improvement covers how the function of measures in a quality improvement endeavor shapes the form they take. The next section, A Set of Measures to Inform Improvement, discusses the types of measures needed in combination to inform quality improvement work in systems. The following section, Rigor of Measures to Inform Improvement, addresses what it means to have rigorous measures for improvement, in the context of the educational field where the phenomena of interest are often difficult to see or count. Another challenge of measurement for improvement is taken up in the next section, Analytic Infrastructure for Measurement for Improvement. The challenges of data collection, analysis, and consumption within the busy work lives of improvers imposes constraints and considerations to the social and technological infrastructure that enables the use of measures for improvement purposes. Finally, this article concludes with cases that illustrate measurement for improvement in educational contexts.

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Takahashi, S., Norman, J., Jackson, K., Ing, M., & Chinen, S. (2020). Measurement for Improvement in Education. In Oxford Bibliographies. Oxford University Press. https://doi.org/10.1093/obo/9780199756810-0247

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Oxford Bibliographies [Special Series]: Continuous Improvement in Education Webpage
Oxford Bibliographies: Continuous Improvement in Education [Special Series] Bibliography Series
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Measurement for Improvement Book Chapter
OB Citations - Measurement for Improvement in Education
Cited in
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Statistical Process Control as a Tool for Research and Healthcare Improvement Journal Article
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The Health Care Data Guide: Learning from Data for Improvement Book
Economic Control of Quality of Manufactured Product Book
Practical Measures to Improve the Quality of Small-Group and Whole-Class Discussions Report
How to Study Improvement Interventions: A Brief Overview of Possible Study Types Journal Article
Elaborating Data Intensive Research Methods Through Researcher-Practitioner Partnerships Conference Paper
Using Data to Improve Medical Practice by Measuring Processes and Outcomes of Care Journal Article
Revisiting the Purposes of Practical Measurement for Improvement: Learning from the BTEN Measurement System Blog Post
Degree Attainment and Transfer among Statway© Students: A Propensity Score Matched Analysis of Outcomes Report
Using Practical Measures to Support Secondary Mathematics Instruction Presentation
Assessment to Promote Equity and Epistemic Justice: A Use-Case of a Research-Practice Partnership in Science Education Journal Article
Carnegie Spotlight: Un Buen Comienzo Improvement Network, Fundación Educacional Oportunidad Video Recording
Learning Analytics Goes to School: A Collaborative Approach to Improving Education Book
Learning to Improve: How America’s Schools Can Get Better at Getting Better Book
The Improvement Guide: A Practical Approach to Enhancing Organizational Performance Book
Using Improvement Science to Better Support Beginning Teachers: The Case of the Building a Teaching Effectiveness Network Journal Article
Designing in Context: Reaching Beyond Usability in Learning Analytics Dashboard Design Journal Article
Branching Out: Use Measurement Trees to Determine Whether Your Improvement Efforts Are Paying Off Magazine Article
What's Your Theory? Driver Diagram Serves as Tool for Building and Testing Theories for Improvement Magazine Article
Toward Information Infrastructure Studies: Ways of Knowing in a Networked Environment Book Chapter

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