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December 2006 Data

December 2006 Data. Presentation to Michigan Leadership Institute February 12, 2007. Data Portrait Summary Counts. Invariable Comments #1. When first seeing Data Portraits, people will say “Where did you get this?” AND “This is wrong.”. Teacher Cert Due Process Financial Records.

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December 2006 Data

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  1. December 2006 Data Presentation to Michigan Leadership Institute February 12, 2007

  2. Data Portrait Summary Counts

  3. Invariable Comments #1 When first seeing Data Portraits, people will say “Where did you get this?” AND “This is wrong.”

  4. Teacher Cert • Due Process • Financial Records • Financial Records Detailed Data Submissions/Collections Parents, Teachers Administrators Others Summary Data Outputs • Due Process • Teacher Cert Data Portrait IEP MiCIS CA60 Local Data AYP Report Card CEPI FORMS Students (reality) Systems Standard & Poors GALDRE OTHER TESTS MEAPMiACCESS MEAs Data Sources Chart

  5. Data Tools Available – Dec count • Data Portraits – one variable summary • Detail Reports – student detail with two-variable cross-tabs • Excel file with all YOUR data • Trend charts to see changes over time and filter further

  6. Cross Tabs in the Details

  7. EdCharts Trend

  8. Invariable Comments #1 When first seeing Data Portraits, people will say “This is not enough?” AND “This is wrong.”

  9. The meaning behind the comments • “this is not enough” – type 1 means • “I am not sure what this data says about our system, and I need to know more in order to understand what is going on” • “this is not enough” – type 2 means • “we know how to code our data so you won’t bug us” OR “you have to spoon-feed us more”

  10. Other Data Silos In Addition to the December Count • Assessment from OEAA • Outcomes from TOPS • Exit, Discipline, Referral from SRSD • Personnel from REP • SPSR from LEA Workbooks • Due Process from prototypes • Survey results from multiple grants • LEA Enrollment from SRSD

  11. The QUALITY of Other Information • Exit Data from SRSD – we have to do the Data Verification thing all over again because unused data is likely to be inaccurate • MEAP data is likely to be good because it is used regularly • WSU survey data is likely to be good because they have a rigorous process and review • Cleaning OUR data is a lot easier than cleaning or using OTHER data

  12. Going Further • What does your data mean? • How does your system affect outcomes? • Are you satisfied OR do you need to change something? • How can you communicate the data to others?

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