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D. Data Entry & Analysis Plan Established

D. Data Entry & Analysis Plan Established. Data Use. The right information In the right format At the right time For decision-making by the right people. Do we have the data system needed for active decision-making?. Are we collecting the right information?

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D. Data Entry & Analysis Plan Established

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  1. D. Data Entry & Analysis Plan Established

  2. Data Use • The right information • In the right format • At the right time • For decision-making by the right people

  3. Do we have the data system needed for active decision-making? • Are we collecting the right information? • What, when, where, who (why?) • Is data collection efficient? • Less than 15 sec to fill out, less than 30 sec to enter • Do we get data in the right format? • Histograms • Do we get the data at the right time? • Before and during meetings • Data no more than 24 hours old • Are data used for decision-making by all? • Data presented to all faculty at least monthly • Data available for whole school, small group and individual student evaluation • Data collected on FIDELITY (what we do) as well as IMPACT (student behavior)

  4. Using Data • Do we have a problem? • Refine the description of the problem? • What behavior, Who, Where, When, Why • Test hypotheses • Build practical solutions • Define how to monitor if solution is effective

  5. Review Status and Identify Problems Team Initiated Problem Solving (TIPS) Model Develop and Refine Hypotheses Evaluate and Revise Action Plan Collect and Use Data Discuss and Select Solutions Develop and Implement Action Plan Problem Solving Foundations

  6. Identifying problems/issues • What data to monitor • ODR per day per month • OSS, ISS, Attendance, Teacher report • Team Checklist/ SET (are we doing what we planned to do?) • What question to answer • Do we have a problem? • What questions to ask of Level, Trend, Peaks • How do our data compare with last year? • How do our data compare with national/regional norms? • How do our data compare with our preferred/expected status? • If a problem is identified, then ask • What are the data we need to make a good decision?

  7. Total Office Discipline Referrals as of January 10 Total Office Discipline Referrals

  8. SWIS summary 08-09 (Majors Only)3,410 schools; 1,737,432 students; 1,500,770 ODRs

  9. Application Activity: Absolute Value Is there a Problem? Middle School of 625 students? Compare with national average: 625/100 = 6.25 6.25 X .98 = 6.12 Office Discipline Referrals per School Day

  10. Compare with National Average 150 / 100 = 1.50 1.50 X .34 = .51 Elementary School with 150 Students

  11. Compare with National Average 1800 / 100 = 18 18 X .93 = 16.74 High School of 1800 students

  12. Middle School of 700 students

  13. Middle School N= 495

  14. Is There a Problem? #2Absolute - Trend - Compare Middle School N= 495

  15. Middle School N= 495

  16. Middle School N= 495

  17. What are the data you are most likely to need to move from a Primary to a Precise statement? • What problem behaviors are most common? • ODR per Problem Behavior • Where are problem behaviors most likely? • ODR per Location • When are problem behaviors most likely? • ODR per time of day • Who is engaged in problem behavior? • ODR per student • Why are problem behaviors sustaining? • No graph

  18. Activity 4 • Can your school get access to the kind of information you need for decision making? Does the information get generated into a graph that is easy to read? • Can I enter in referrals easily? (30 seconds/referral) • Can I generate reports easily? (5 second rule ) • Do I have access to the Big 5? • Number of referrals per day per month • Referrals by Location • Referrals by Time • Referrals by Problem Behavior • Referrals by Student • What other reports may be helpful? • How will data be shared? • Define Action Steps

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