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School-Wide Positive Behavioral Interventions & Supports :. New Team Training Data Entry and Analysis Plan Established Day 2. Critical Features. PBIS Team Faculty/Staff Commitment Expectations and Rules Developed Develop Plans for Teaching Expectations/Rules - PowerPoint PPT Presentation
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School-Wide Positive Behavioral Interventions & Supports:
New Team TrainingData Entry and Analysis Plan Established
Day 2
Critical Features1. PBIS Team2. Faculty/Staff Commitment3. Expectations and Rules Developed4. Develop Plans for Teaching Expectations/Rules5. Acknowledgement Program Established6. Effective Procedures for Dealing with Problem
Behaviors
7. Data Entry and Analysis Plan Established
8. Classroom Systems9. Evaluation 10. Implementation Plan
TEAM ACTIVITY
How to look at Data:The Big 5
1. Average Daily Referrals (across time)
2. Referrals by problem behavior
3. Referrals by location
4. Referrals by time
5. Referrals by students
Avg. # ODR/Day/MonthConsider # of SCHOOL DAYS in the month.
# Referals by Problem Behavior
# Referrals by Location
# Referrals by Time of Day
# Referrals by Student
0
500
1000
1500
2000
2500
3000
94-95 95-96 96-97 97-98 98-99 99-00 00-01 01-02 02-03 03-04 04-05 05-06
Tota
l ODR
s
Academic Years
FRMS Total Office Discipline ReferralsSUSTAINED IMPACT
Pre
Post
DECISION MAKING• Is there a Problem?• What areas/systems are involved?• Are there many students or a few involved?• What kinds of problem behaviors are occurring? • When are these problems likely to occur?
• What is the most effective use of our resources to address this problem?
QUESTIONS TO ASK? Are we collecting the right information?
What, where, when, 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?
Graphic format
? Do we get the data at the right time?
Before and during meetings
Data no more than 24 hours old
? Is 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)
Accurate and Consistent Input
The 10 Critical Elements
BENCHMARKS OF QUALITY A, IP, N Notes
Data Entry & Analysis
Plan Established
Progress Monitoring
13. Data system is used to collect and analyze Office Discipline Report (ODR) data
14. Additional data are collected (attendance, grades, faculty attendance, surveys) and used by 2014-2015 Team
15. Data analyzed at least monthly
16. Data shared with team and faculty monthly (minimum)
BoQ Action Planner
Team Time
16