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Achievement Gap Data Session

Achievement Gap Data Session. Washtenaw and Livingston Counties Achievement Initiatives Team November 2012. Agenda. 8:30-9:20am -- Data Three Ways Presentation Ways to use data to learn about your gaps Data tools for investigating gaps 9:30-10:20am – Breakout Sessions

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Achievement Gap Data Session

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  1. Achievement Gap Data Session Washtenaw and Livingston Counties Achievement Initiatives Team November 2012

  2. Agenda • 8:30-9:20am -- Data Three Ways Presentation • Ways to use data to learn about your gaps • Data tools for investigating gaps • 9:30-10:20am – Breakout Sessions • Data Director (Stan Masters) • MiSchoolData (BasiaKiehler) • Top30/Bottom30 Excel (Naomi Norman) • 10:30-11:30am – Team Time • Repeat of any breakout sessions that are needed

  3. What is an Achievement Gap? • A signal that our system is not equitable.

  4. Equity An operational principle for shaping policies and practice which provide high expectations and appropriate resources so that all students achieve at the same rigorous standard—with minimal variation due to race, income, language or gender. (Hart & Germaine-Watts, 1996) Ruth S. Johnson Using Data to Close the Achievement Gap

  5. If I had 60 minutes to solve a problem, I’d spend 55 minutes defining it, and 5 minutes solving it. Albert Einstein

  6. Defining YOUR problem Not all gaps are created equal • Is there a PATTERN in the data? • Are there MULTIPLE data sources that support the patterns you see? • Does this pattern PERSIST? Is it a TREND? Using Data to Look for Patterns of Inequity

  7. Data Three Ways Salmon three ways tartar with remoulade sauce on crisp skin, buttered poached with citrus salad and sausage with a tomato caper relish Gabriel Maldonado, CEC, CCA Executive Chef, New Bern Golf and Country Club, New Bern, NC MEAP/MME three ways Distribution, Growth, Cohorts over time

  8. Distribution How are our scores distributed? Are there patterns of performance?

  9. Small Gap

  10. Gap Type – Wide with high performers

  11. Gap Type – Bimodal

  12. Gap Movement Over Time

  13. Gap Movement Over Time

  14. Shifting Bottom 30% Upward

  15. Distribution at grade level

  16. Data4SS Distribution Charts

  17. Typical Pattern – Top 30/Bottom 30

  18. Individual Focus School Lookup Tool

  19. Growth Are our students making growth over time? Does it look different for our subgroups and bottom 30%?

  20. MEAP SignificantlyDecline Decline Maintain Improve Significantly Improve

  21. Growth Calculation

  22. Top 30% -- Growth in Mathematics 2007-2011 Green represents a school with positive growth

  23. Bottom 30% - Growth in Mathematics 2007-2011 Green represents a school with positive growth

  24. Cohorts Over Time Do students who stay in our schools improve over time?

  25. Cohort Growth Over Time

  26. Data Director – Change Over Time Build a report using: Performance Level Performance Level Range Performance Level Change

  27. Data Director – Additional Cohort Reports • Create a program of your Bottom 30% • track the students over time • Look at other data trends (NWEA, EXPLORE, SRI, local assessments) • Create summary reports • Summarize MEAP or other test scores by subgroups • Summarize by demographics that matter in your district (zip code?) • Create reports that follow student scores over time • One group of students with all their scores for last 5 years

  28. For More Information: • Naomi Norman, Director • nnorman@wash.k12.mi.us • BasiaKiehler, Assessment Coordinator • bkiehler@wash.k12.mi.us • Sarah Devaney, Research Assistant • sdevaney@wash.k12.mi.us • Stan Masters, Consultant

  29. Visit Our Website: MIteacher.weebly.com Also, ask to be added to our Achievement Gap Dropbox for access to reports, powerpoints, and excel spreadsheets

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