1 / 28

Data Report or Treasure Chest?

Data Report or Treasure Chest?. Using What You Have to Support Students. Get to Know NCHE. The U.S. Department of Education’s technical assistance and information center NCHE has: A comprehensive website: www.serve.org/nche

sukey
Download Presentation

Data Report or Treasure Chest?

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Data Report or Treasure Chest? Using What You Have to Support Students

  2. Get to Know NCHE • The U.S. Department of Education’s technical assistance and information center • NCHE has: • A comprehensive website: www.serve.org/nche • A toll-free helpline: Call 800-308-2145 or e-mail homeless@serve.org • A listserv: visit www.serve.org/nche/listserv.php for subscription instructions • Free resources: Visitwww.serve.org/nche/products.php

  3. Temperature Check • Who’s in the room? • How comfortable are you with data?

  4. Big Picture “I am a deep believer in the power of data to drive our decisions. Data gives us the road map to reform. It tells us where we are, where we need to go, and who is most at risk.” Arni Duncan

  5. Big Picture • McKinney-Vento data • Districts submit to SEAs • SEAs submit to US ED via EDFacts or CSPR • NCHE reviews data, creates national summary http://center.serve.org/nche/ibt/aw_statistics.php • ESEA calls for collection, analysis, and use of student achievement data to improve school outcomes • Includes requirement for state report cards

  6. Evolution • Find kids, get them in school • Find kids, get them in school, count them • Find kids, get them in school, count them, find out how they’re doing • Find kids, get them in school, count them, find out how they’re doing, actively help them grow

  7. Self-evaluation • Where are you in the data evolution? • What access do you have to data? • Do you know who your players are? • What do you want to know?

  8. First Steps • Develop a plan • Identify your questions • Can change over time, but establish a direction • Do your research • Make your ask concrete

  9. Basic Questions • Count of students, by grade & housing • Diversity of HCY population • Where the students are • State testing performance • Special populations overview

  10. Trend Data

  11. Trend Data

  12. Actual Numbers vs. Percentage

  13. Actual Number vs. Percentage

  14. Comparisons: The Next Level Must compare the outcomes for homeless students to other student populations for true depth of growth and challenges • Gives new meaning to data • You can mix and match based on your needs assessment and priorities

  15. Comparisons: The Next Level • Graduation rates • Special Education rates • Gifted and Talented • Suspensions

  16. Comparisons: The Next Level

  17. Comparisons: The Next Level Graduation Rate by Subpopulation

  18. Comparisons: The Next Level Percent Students in Gifted & Talented

  19. Comparisons: Top Level Percent Students IDEA

  20. Suspensions Percent of Students that Received a Suspension

  21. Suspensions

  22. In-School vs. Out of School

  23. Quantitative vs. Qualitative • Qualitative does have its place • Can be harder to collect, analyze • Can tell you the story behind the numbers • What opportunities do you have to gather it • How can you make it reasonably standardized

  24. Data Quality • Consider requiring liaison verification • Consider tracking large changes • Consider comparison groups like free lunch, employment rates, census data • Consider n size: small group sizes skew

  25. Tips • Golden Rule: ALWAYS be nice to the data people • Find reasons or ways to do things for them • Review guidance, help train, field questions • Be mindful of their timelines • Find ways to help assure quality

  26. Tips • When deciding what to look at, consider format for final report • Explain your findings

  27. Final Thoughts Data…"can basically take us out of the dark ages of just kinda teaching and hoping, which is what a lot of folks have done for a very long time. A lot of teachers have taught their hearts out and don't have a good way of telling who's learning what and what's working and what's not.“ Katie Haycock, Education Trust

  28. Thank you! Christina Endres cendres@serve.org 336-315-7438 Beth Hartness bhartnes@serve.org 336-315-7452 Data Collection Information http://center.serve.org/nche/ibt/sc_data.php

More Related