1. Using Individual Student data for initial support planning
Cynthia M. Anderson, Nadia K. Sampson,
Celeste Dickey
University of Oregon

3. 45 students (7.6%) and 117 referrals
589 total enrollment

4. Meeting the Needs of All Students
Problem
Foundation in place: 10-20% of students will not be successful
Solution?
Individualized interventions for all?
Alternative: Targeted Interventions
Problem: there are too many students to do this!
500 students students

5. School-Wide Positive Behavior Support Intensive Interventions
Specialized
Individualized
Systems for Students with High-Risk Behavior
~5%
Targeted Interventions
Specialized Group
Systems for Students with At-Risk Behavior
Universal Interventions
School-/Classroom-
Wide Systems for
All Students,
Staff, & Settings
~15%
~80% of Students

6. Targeted Interventions
Matches needs of school
Implemented within 5-days of identified need
Similar across students
Staff trained in intervention
Materials on hand
Function-based
Data collected to monitor outcomes
Formal system for informing parents of progress
Matches needs: if only 1% of students exhibit behavior problems to escape peer attention, you probably don’t want to invest a lot of effort in an intervention that addresses this

7. 45 students (7.6%) and 117 referrals
589 total enrollment

8. Is a Targeted Intervention Appropriate?
Intensity of behavior
Settings behavior occurs in
Behavior of other students
Perceived motivation

9. 45 students (7.6%) and 117 referrals
589 total enrollment

10. Individualized, Function-Based Support
Matched to the results of an FBA
How can SWIS data help?
What is the problem?
When does it occur?

11. Mark Banks

14. Mark—What would you do? 1-2 referrals total per year?
Considering a function-based plan
What is the behavior of concern?
Where are problems occurring and when?
Does the perceived motivation help?
What would you do?
Who to focus on?
Who to interview?
Where to observe?