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Using data for continuous regeneration PBIS Booster for Graduated Cohorts. Kevin Filter, Ph.D. Minnesota State University, Mankato. Principles of Sustainability. Using Data for Continuous Regeneration. This is the highest and rarest level of implementation (Hall & Hord , 1988)
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Using data for continuous regenerationPBIS Booster for Graduated Cohorts Kevin Filter, Ph.D. Minnesota State University, Mankato
Using Data for Continuous Regeneration • This is the highest and rarest level of implementation (Hall & Hord, 1988) • Data relate to: • Effort (TIC, SAS) • Implementation (SET) • Outcome (ODRs, SWIS)
Problem solving • The process of solving problems in the same at all levels of PBIS – Tier 1, Tier 2, and Tier 3 • Problem solving involves answering the following questions: • Is there a problem? • What is the nature of the problem? • What should we do to solve the problem? • Was the solution effective?
Problem solving with DATA(Using the Big Five) • Is there a problem? • ODRs per day per month • What is the nature of the problem? • Referrals by • Behavior • Students • Location • Time of Day • What should we do to solve the problem? • Develop an intervention and specify measurable effect on the appropriate Big 5 • Was the solution effective? • Compare pre-intervention data to post-intervention data
“Everything is vague to a degree you do not realize till you have tried to make it precise.” Bertrand Russell
Precision Problem Statements • Steps 1 and 2 in problem solving should result in precision problem statements • Let’s practice…
Primary versus Precision Statements • Primary Statements • Too many referrals • September has more suspensions than last year • Gang behavior is increasing • The cafeteria is out of control • Student disrespect is out of control • Precision Statements • There are more ODRs for aggression on the playground than last year. These are most likely to occur during first recess, with a large number of students, and the aggression is related to getting access to the new playground equipment.
Precision Statement Analysis There are more ODRs for aggressionon the playground thanlast year. These are most likely to occur during first recess, with a large number of students, and the aggression is related to getting access to the new playground equipment.
Case Example • It is August and the team is reviewing data from the previous school year to evaluate progress with implementation of school-wide (Tier 1) interventions. The school serves students in K-6 and has an enrollment of about 600 students.
Adding Effort and Implementation Data Advanced Problem Solving
Problem solving • The process of solving problems in the same at all levels of PBIS – Tier 1, Tier 2, and Tier 3 • Problem solving involves answering the following questions: • Is there a problem? • What is the nature of the problem? • What should we do to solve the problem? • Was the solution effective?
2. What is the nature of the problem? • Sometimes we need to think more basic… • “Perhaps the problem is that we’re not doing what we’re supposed to be doing” • In other words, are we doing what we can to implement PBIS with fidelity?
Problem solving with ALL data • Is there a problem? • ODRs per day per month • What is the nature of the problem? • What are students doing and why? • Consider the rest of the Big Five • WE AREN’T IMPLEMENTING PBIS WITH FIDELITY • REVIEW TIC, SAS, and SET DATA • What should we do to solve the problem? • Develop an intervention and specify measurable effect on the appropriate Big 5 • Was the solution effective? • Compare pre-intervention data to post-intervention data
Team Time • Look at your most recent ODRdata (and SAS, TIC, and SET if you have it) • Practice the problem solving process to solve at least one problem using the following forms: • Developing Tier 1 Precision Hypothesis Statements • Tier 1 Action Planning • Be ready to share you precision hypothesis statement and your action plan.