1. District Leadership Team Webinar #1: Data Based Decision Making Center for Education and Lifelong Learning The Equity Project at Indiana University Culturally Responsive Positive Behavioral Interventions and Supports www.indiana.edu/~pbisin

2. Focus of Webinar Review of the Role of the DLT Assesses district strengths and needs related to using Data for Decision Making in CR-PBIS Discuss Next Steps for the DLT in your District Continued Work with PBIS-IN

3. The Blueprint

4. USING DATA FOR DECISION MAKING

5. Data! Data! Data!  How do we collect data?  How do we analyze data? How often? Who? When?  How can the data and information be used to improve our discipline system? Applying to all students equally Use of demographic data Behaviors and locations Classroom managed vs. Office managed 5

6. Defining the Problem  Review your data to determine current strengths and areas of need: Compare district enrollment numbers to current outcomes Disaggregate data by ethnicity, gender, SES, grade level

7. District A Composition Racial/Ethnic Group District Enrollment Numbers Composition in District American Indian220.2% African American135313.4% Asian7867.8% Hispanic4954.9% White699369.1% Multiracial4644.6% Total10113

9. Data-Based Decision making using ODRs  Examine ODRs( number of office referrals): –Per day per month –Based on location –Based on type of behavior –By student –By time of day –By subgroup (i.e. ethnicity, gender, special education status)  Examine consequences of referrals –Suspension and expulsion data –Disaggregated suspension and expulsion data 9

10. Analyzing ODR data  Do we have a problem? Avg./per day per month Elem..22/100 students per day. MS.50/100 per day HS.68/100 per day Trends and Peaks  What kind of problem? Behaviors of concern  Where? Hot spots, cool spots 10

11. Analyzing ODR data  When? Time of Day  By Whom? Lots of students or few students? What percentage of students have been to office?  Subgroups? Do you have an disproportionate representation problem? 11

12. Discipline # of Events # of Students # of Days Number of Events/Number of Students Amer IndianAsian African AmericanHisp/LatinWhiteOther Office Discipline Ref. (ODR) 26911195 2212287121550512759108848513757 Out-of School Suspension 1692856 667949794347797020033312051 Total Suspensions 43832051 8820113620098522061291288818257108 Expulsion 25 5280011881114 11 Discipline # of Events # of Students # of Days Composition in District/ Composition in Discipline Amer IndianAsian African AmericanHisp/LatinWhiteOther Office Discipline Ref. (ODR) 26911195.2% 7.8%7.3%13.4%42.3%4.9% 69.1%40.6%4.6%4.8% Out-of School Suspension 1692856.7%5.7%40.5%8.2%38.9%6.0% Total Suspensions 43832051.4%6.6%41.5%6.3%39.9%5.3% Expulsion 25 52804.0%32%4.0%56%4.0% District A Data Summary

14. NEXT STEPS FOR YOUR DLT

15. Your Next Steps TaskTimelineWho’s Involved Evaluate Data Management System Collect Discipline Data Through December 2011 Meet as a DLT to analyze the data Identify 2 DLT representatives to attend DLT session in February

16. Contact Us  www.indiana.edu/~pbisinwww.indiana.edu/~pbisin  Contact us with questions: Renae Azziz razziz@virtuosoed.com Shana Ritter rritter@indiana.edu