Education Data Done Right: Volume III
Education Data Done Right: Volume III
Building Resilience & Empowering Data Users
About the Book
This is the final installment of our Education Data Done Right series.
We’re closing this adventure out with a tight focus on the concrete efforts that enable resilience in your teams, robustness in your systems, durability in your practices, and data centrism in your organization. We try to be very pragmatic here, so we’re quite direct in a few places as we “cut to the chase,” so to speak. After all, your time is valuable.
We also take this opportunity to follow through on some common content requests that we hear from our readers–namely, detailing the important public aggregate education data available. We hope this helps our readers, working in agencies and outside of them, learn more about how local data are represented and used in the public realm. Let’s go!
About the Authors
Bundles that include this book
Table of Contents
- What Folks are Saying About the EDDR Series
- Acknowledgements
- The Editors
- Reviewers
- Production Team
- Introduction
- Why You Should Keep Reading This Book
- What’s in Volume III, You Ask?
- Need a Fighting Chance? DataOps Can Help
- Introduction
- October 2018–DMAD Created
- The Work Shark
- New Paradigm
- Started with Kanban, Graduated to Azure DevOps
- Measure the Work, Iterate Strategically
- March 2020
- Wikis and Roadmaps and Dashboards, Oh My!
- My Mom: My Original Lean Mentor
- Exploring Greater Potential in Combining Public Data
- Who Uses Aggregate Data and Why
- Overview of Major Public Aggregate Data Sources
- Accessing the Data and Metadata
- The Big Interrelated Three: CRDC, CCD, and EDFacts
- Civil Rights Data Collection (CRDC)
- Common Core of Data (CCD)
- EDFacts Data
- Aligned Tests, College and Career Measures, and P-K
- Conclusion of Inventory and Introduction to Use
- Differences Across the Collections Can Be Useful
- Differences Across the Years Can Be Useful
- Differences Across School Types Are Important
- Meeting the Challenges of Student Household Income Data
- Important Distinctions Between Available Income Data
- Free and Reduced Lunch (FRL) Data as the Long-Term Gold Standard
- Community Eligibility Provision (CEP) Means No More Free Lunch Data
- NAEP etc. Household Income May Not Be Comparable Across States and Years
- Direct Certification Programs Have Variation That CEP Lacks
- School Neighborhood Income-Poverty Ratios Capture Full Income Distributions
- Student Longitudinal Effects of Household-Income Differences Beyond FRL
- Comparing FRL, Parent Education, and Census Household-Income Estimates
- Student Household-Income Effects on School Opportunities and Outcomes
- Conclusions
- Being Water: Why the “People Work” Won’t Compress and That Can Be OK
- DataOps Starts with Culture and People
- DMAD: 2018
- Using Physics
- Do the Work
- Working on the Work
- “Let’s Try It”: Creating a Learning Environment
- Reflections: Making a Path Towards Sustainability
- Conclusions
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