66
Data-based Decision- making: Evaluating the Impact of School- wide Positive Behavior Support George Sugai, Rob Horner, Anne Todd, and Teri Lewis-Palmer University of Oregon OSEP Funded Technical Assistance Center www.pbis.org

Data-based Decision-making: Evaluating the Impact of School-wide Positive Behavior Support

Embed Size (px)

DESCRIPTION

Data-based Decision-making: Evaluating the Impact of School-wide Positive Behavior Support. George Sugai, Rob Horner, Anne Todd, and Teri Lewis-Palmer University of Oregon OSEP Funded Technical Assistance Center www.pbis.org. Purpose. - PowerPoint PPT Presentation

Citation preview

Page 1: Data-based Decision-making: Evaluating the Impact of School-wide  Positive Behavior Support

Data-based Decision-making:Evaluating the Impact of School-wide

Positive Behavior Support

George Sugai, Rob Horner, Anne Todd, and Teri Lewis-Palmer

University of Oregon

OSEP Funded Technical Assistance Center

www.pbis.org

Page 2: Data-based Decision-making: Evaluating the Impact of School-wide  Positive Behavior Support

Purpose

• Examine the extent to which the logic of School-wide Positive Behavior Support (PBS) fits your real experience in schools

• Define the outcomes for School-wide PBS– Is School-wide PBS related to reduction in problem behavior?– Is School-wide PBS related to improved school safety?– Is School-wide PBS related to improved academic performance?

• Define tools for measuring School-wide PBS outcomes• Examine a problem-solving approach for using office

discipline referral (ODR) data for decision-making• Provide strategies for using data for decision-making and

action planning

Page 3: Data-based Decision-making: Evaluating the Impact of School-wide  Positive Behavior Support

To Improve Schools for Children

• Use evidence-based practices– Always look for data of effectiveness

• Never stop doing what is working

• Implement the smallest change that will result in the largest improvement

Measure Compare Improvement

Page 4: Data-based Decision-making: Evaluating the Impact of School-wide  Positive Behavior Support

Academic Systems Behavioral Systems

1-5% 1-5%

5-10% 5-10%

80-90% 80-90%

Intensive, Individual Interventions•Individual Students•Assessment-based•High Intensity

Intensive, Individual Interventions•Individual Students•Assessment-based•Intense, durable procedures

Secondary Group Interventions•Some students (at-risk)•High efficiency•Rapid response

Secondary Group Interventions•Some students (at-risk)•High efficiency•Rapid response

primary Interventions•All students•Preventive, proactive

primary Interventions•All settings, all students•Preventive, proactive

Designing School-Wide Systems for Student Success

Page 5: Data-based Decision-making: Evaluating the Impact of School-wide  Positive Behavior Support

SYST

EMS

PRACTICES

DATASupportingStaff Behavior

SupportingDecision-Making

SupportingStudent Behavior

SW PositiveBehaviorSupport

OUTCOMES

Social Competence,Academic Achievement, and Safety

Page 6: Data-based Decision-making: Evaluating the Impact of School-wide  Positive Behavior Support

Improving Decision-Making

Problem SolutionFrom

To ProblemProblem-solving

InformationSolution

Page 7: Data-based Decision-making: Evaluating the Impact of School-wide  Positive Behavior Support

Problem-solving Steps1. Define the problem(s)

– Analyze the data

2. Define the outcomes and data sources for measuring the outcomes

3. Consider 2-3 options that might work4. Evaluate each option:

– Is it safe?– Is it doable?– Will it work?

5. Choose an option to try6. Determine the timeframe to evaluate effectiveness7. Evaluate effectiveness by using the data

– Is it worth continuing? – Try a different option? – Re-define the problem?

Page 8: Data-based Decision-making: Evaluating the Impact of School-wide  Positive Behavior Support

Key Features of Effective Data Systems

• Data are accurate

• Data are very easy to collect

• Data are used for decision-making

• Data are available when decisions need to be made

• Data collectors must see the information used for decision-making

Page 9: Data-based Decision-making: Evaluating the Impact of School-wide  Positive Behavior Support

Guiding Considerations

• Use accessible data

• Handle data as few times as possible

• Build data collection into daily routines

• Establish and use data collection as a conditioned positive reinforcer

• Share data summaries with those who collect it

Page 10: Data-based Decision-making: Evaluating the Impact of School-wide  Positive Behavior Support

Types of Questions

• Initial Assessment Questions– What type or which program do we need?– Where should we focus our efforts?

• Ongoing Evaluation Questions– Is the program working?– If no,

Can it be changed?Should we end the program?

– If yes,Do we need this program anymore?What do we need to do to sustain success?

Page 11: Data-based Decision-making: Evaluating the Impact of School-wide  Positive Behavior Support

What Data Should be Collected?• Always start with the questions you want to answer• Make data that will answer your question:

– Easy, available, reliable

• Balance between reliability and accessibility– Systems approach

• Consider logistics– Who? When? Where? How?

• Two levels– What is readily accessible?

– What requires extra resources?

Page 12: Data-based Decision-making: Evaluating the Impact of School-wide  Positive Behavior Support

When Should Data Decisions Be Made?

• Natural cycles, meeting times– Weekly, monthly, quarterly, annually

• Level of system addressed– Individual: daily, weekly– School-wide: monthly, quarterly– District/ Region– State-level

Page 13: Data-based Decision-making: Evaluating the Impact of School-wide  Positive Behavior Support

Basic Evaluation Questionsby School or Program

1. What does “it” look like now?2. How would we know if are successful?3. Are we satisfied with how “it” looks?

– YES: Celebrate

– NO: What do we want “it” to look like? What do we need to do to make “it” look like that?

4. What can we do to keep “it” like that?

Page 14: Data-based Decision-making: Evaluating the Impact of School-wide  Positive Behavior Support

Basic School-wide PBS Evaluation Questions

by School/ District/ Region

Are our efforts making a difference? 1. How many schools have adopted School-wide PBS?2. Are schools adopting School-wide PBS to criterion?3. Are schools who are implementing School-wide PBS

perceived as safe?4. Are teachers delivering instructional lessons with

fidelity as planned? 5. Is School-wide PBS improving student outcomes?

Page 15: Data-based Decision-making: Evaluating the Impact of School-wide  Positive Behavior Support

Is School-wide PBS Having a Positive Influence on School

Culture?

Using Office Discipline Referral Data

Page 16: Data-based Decision-making: Evaluating the Impact of School-wide  Positive Behavior Support

Office Discipline Referrals and The BIG 5!

• Examine office discipline referral rates and patterns– Major Problem events– Minor Problem events

• Ask the BIG 5 questions:– How often are problem behavior events occurring?– Where are they happening?– What types of problem behaviors?– When are the problems occurring?– Who is contributing?

Page 17: Data-based Decision-making: Evaluating the Impact of School-wide  Positive Behavior Support

The BIG 5 How often

where what

when

who

Page 18: Data-based Decision-making: Evaluating the Impact of School-wide  Positive Behavior Support

Office Discipline Referral Caution

• Data reflects 3 factors:– Students– Staff members– Office personnel

• Data reflects overt rule violators

• Data is useful when implementation is consistent– Do staff and administration agree on office-

managed problem behavior verses classroom-managed behavior?

Page 19: Data-based Decision-making: Evaluating the Impact of School-wide  Positive Behavior Support

Staff Managed (minors) Office Managed (majors)

•Tardy•Unprepared; no homework/materials•Violation of classroom expectations•Inappropriate language •Classroom disruption•Minor safety violation•Lying/Cheating

Consequences are determined by staff

•Repeated minor behaviors•Insubordination•Blatant disrespect•Abusive/Inappropriate language•Harassment/Intimidation•Fighting/Physical aggression•Safety violations that are potentially harmful to self, others and/or property•Vandalism/Property destruction•Plagiarism•Theft•Skipping classes•Illegal behaviors: Arson Weapons Tobacco Alcohol/Drugs

Page 20: Data-based Decision-making: Evaluating the Impact of School-wide  Positive Behavior Support

General Procedure for Dealing with Problem Behaviors

Observe problem behavior

Problem solve

Determineconsequence

Follow proceduredocumented

File necessarydocumentation

Send referral to

officeFile necessary documentation

Determine consequence

Followthrough withconsequences

Problem solve

Follow documented

procedure

Write referral andEscort student to office

Follow upwith student

within aweek

Is behavior major?

Does student have 3?

NO YES

NO YES

Find a place to talk with student(s) Ensure safety

Page 21: Data-based Decision-making: Evaluating the Impact of School-wide  Positive Behavior Support

Office Discipline Referral FormName: _________________________ Grade: _____ Date: _____Referring Person: ________________________Time: ________

Others involved: None Peers Staff Teacher Substitute Unknown Other

Problem Behavior Location Possible Motivation

MajorAbusive languageFighting/physical aggressionHarassmentOvert defianceOther_____

Minor

Inappropriate language

Disruption

Property misuse

Non-compliance

Other_____

Hallway

Cafeteria

Library

Restroom

Office

Parking lot

Classroom

On bus

Special event

Common area

Other_____

Attention from peers

Attention from adults

Avoid peers

Avoid adults

Avoid work

Obtain items

Don’t know

Other_____

ConsequenceLose privilege individual instructionConference In-school suspension

Parent contact Out-of-school suspension Time in office Other________________

Page 22: Data-based Decision-making: Evaluating the Impact of School-wide  Positive Behavior Support

SWIS™ Compatibility Checklist Procedure for Documenting Office Discipline Referrals School ___________________________ Date ____________________

Compatibility Question

Date Date

1. Does a clear distinction exist between problem behaviors that are staff managed versus office managed exist and is it available for staff reference?

Yes No Yes No

2. Does a form exist that is SWIS™ compatible for SWIS™ data entry that includes the following categories?

Yes No Yes No

a. Student name? Yes No Yes No

b. Date? Yes No Yes No

c. Time of incident? Yes No Yes No

d. Student’s grade level? Yes No Yes No

e. Referring staff member? Yes No Yes No

f. Location of incident? Yes No Yes No

g. Problem behavior? Yes No Yes No

h. Possible motivation? Yes No Yes No

i. Others involved? Yes No Yes No

j. Administrative decision? Yes No Yes No

k. Other comments? Yes No Yes No

l. No more than 3 extra info. Yes No Yes No

3. Does a set of definitions exist that clearly defines all categories on the office discipline referral form?

Yes No Yes No

Next review date: _______________Redesign your form until answers to all questions are “Yes.”

Readiness requirements 4 and 5 are complete when you have all “Yes” responses.

Page 23: Data-based Decision-making: Evaluating the Impact of School-wide  Positive Behavior Support

Tables versus Graphs

Page 24: Data-based Decision-making: Evaluating the Impact of School-wide  Positive Behavior Support

Year MonthNumber of

DaysNumber of Referrals

Average Referrals Per Day

2001 Aug 0 0 0.00

2001 Sep 19 5 0.26

2001 Oct 21 18 0.86

2001 Nov 18 17 0.94

2001 Dec 14 21 1.50

2002 Jan 22 18 0.82

2002 Feb 17 15 0.88

2002 Mar 19 26 1.37

2002 Apr 21 14 0.67

2002 May 18 13 0.72

2002 Jun 11 2 0.18

2002 Jul 0 0 0.00

Totals: 180 149 0.83

Page 25: Data-based Decision-making: Evaluating the Impact of School-wide  Positive Behavior Support

Number of ODR per Day and Month

Page 26: Data-based Decision-making: Evaluating the Impact of School-wide  Positive Behavior Support

Total verses Rate

Page 27: Data-based Decision-making: Evaluating the Impact of School-wide  Positive Behavior Support

Total Number of ODRs per Month

Page 28: Data-based Decision-making: Evaluating the Impact of School-wide  Positive Behavior Support

Number of ODRs per Day and Month

Page 29: Data-based Decision-making: Evaluating the Impact of School-wide  Positive Behavior Support

Priorities and Rationale

• Graphs

• Rate

Page 30: Data-based Decision-making: Evaluating the Impact of School-wide  Positive Behavior Support

SWIS summary 2008-2009 (Majors Only)3,410 schools; 1,737,432 students; 1,500,770 ODRs

Grade Range

Number of Schools

Avg. Enrollment per school

National Avg. for Major ODRs per 100 students, per school day

K-6 2,162 450 .34 = about 1 Major ODR every 3 school days, or about 34 every 100 days

6-9 602 657 .85 = a little less than 1 Major ODR per school day, or about 85 every 100 days

9-12 215 887 1.27 = more than 1 Major ODR per school day, or about 127 every 100 days

K-

(8-12)

431 408 1.06 = about 1 Major ODR per school day, or about 106 every 100 days

Newton, J.S., Todd, A.W., Algozzine, K, Horner, R.H. & Algozzine, B. (2009). The Team Initiated Problem Solving (TIPS) Training Manual. Educational and Community Supports, University of

Oregon unpublished training manual.

Page 31: Data-based Decision-making: Evaluating the Impact of School-wide  Positive Behavior Support

SWIS summary 2009-10 (Majors Only)4,019 schools; 2,063,408 students; 1,622,229 ODRs

Grade Range Number of Schools

Mean Enrollment per school

Median ODRs per 100 per school day

K-6 2565 452 .22

6-9 713 648 .50

9-12 266 897 .68

K-(8-12) 474 423 .42

Page 32: Data-based Decision-making: Evaluating the Impact of School-wide  Positive Behavior Support

Interpreting Office Referral Data:Is there a problem?

• Absolute level (depending on size of school)– Middle, High Schools (> 1 per day per 100)– Elementary Schools (>1 per day per 300)

• Trends– Peaks before breaks?– Gradual increasing trend across year?

• Compare levels to last year– Improvement?

Page 33: Data-based Decision-making: Evaluating the Impact of School-wide  Positive Behavior Support

Office Discipline Referrals per Day per Month per 100 Students

0

2

4

6

8

10

12

14

16

Sept Oct Nov Dec Jan Feb March April May June

# p

er d

ay p

er 1

00 s

tud

ents

Series1

Application Activity: Absolute ValueIs there a Problem?

Middle School of 625 students?Compare with national average: 625/100 = 6.25 6.25 X .92 =

5.75

O

ffic

e D

isci

plin

e R

efer

rals

per

Sch

ool D

ay

Page 34: Data-based Decision-making: Evaluating the Impact of School-wide  Positive Behavior Support

0

0.5

1

1.5

2

Ave R

efe

rrals

per

Day

Sept Oct Nov Dec Jan Feb Mar Apr May Jun

School Months

Office Referrals per Day per MonthLast year

Elementary School with 150 StudentsCompare with National Average 150 / 100 = 1.50 1.50 X .35 = .53

Page 35: Data-based Decision-making: Evaluating the Impact of School-wide  Positive Behavior Support

0

5

10

15

20

Ave R

efe

rrals

per

Day

Sept Oct Nov Dec Jan Feb Mar Apr May Jun

School Months

Office Referrals per Day per MonthLast year

High School of 1800 students

Compare with National Average 1800 / 100 = 18 18 X 1.06 =

19.08

Page 36: Data-based Decision-making: Evaluating the Impact of School-wide  Positive Behavior Support

0

5

10

15

20

Ave R

efe

rrals

per

Day

Sept Oct Nov Dec Jan Feb Mar Apr May Jun

School Months

Office Referrals per Day per MonthThis Year

Middle School of 700 students

Page 37: Data-based Decision-making: Evaluating the Impact of School-wide  Positive Behavior Support

0

5

10

15

20

Ave R

efe

rrals

per

Day

Sept Oct Nov Dec Jan Feb Mar Apr May Jun

School Months

Office Referrals per Day per MonthLast Year and This Year

Page 38: Data-based Decision-making: Evaluating the Impact of School-wide  Positive Behavior Support

0

5

10

15

20

Ave R

efe

rrals

per

Day

Sept Oct Nov Dec Jan Feb Mar Apr May Jun

School Months

Office Referrals per Day per MonthLast Year and This Year

Page 39: Data-based Decision-making: Evaluating the Impact of School-wide  Positive Behavior Support

0

5

10

15

20

Ave R

efe

rrals

per

Day

Sept Oct Nov Dec Jan Feb Mar Apr May

School Months

Office Referrals per Day per MonthThis Year

Middle School

N= 495

Page 40: Data-based Decision-making: Evaluating the Impact of School-wide  Positive Behavior Support

Is There a Problem? #2Absolute - Trend - Compare

0

5

10

15

20

Ave R

efe

rrals

per

Day

Sept Oct Nov Dec Jan Feb Mar Apr May Jun

School Months

Office Referrals per Day per MonthThis year (Middle)

Middle School

N= 495

Page 41: Data-based Decision-making: Evaluating the Impact of School-wide  Positive Behavior Support

0

5

10

15

20

Ave R

efe

rrals

per

Day

Sept Oct Nov Dec Jan Feb Mar Apr May Jun

School Months

Office Referrals per Day per MonthLast Year and This Year

Middle School

N= 495

Page 42: Data-based Decision-making: Evaluating the Impact of School-wide  Positive Behavior Support

0

5

10

15

20

Ave R

efe

rrals

per

Day

Sept Oct Nov Dec Jan Feb Mar Apr May Jun

School Months

Office Referrals per Day per MonthLast Year and This Year

Middle School

N= 495

Page 43: Data-based Decision-making: Evaluating the Impact of School-wide  Positive Behavior Support

Trevor Test Middle School

565 students

Grades 6,7, and 8

Page 44: Data-based Decision-making: Evaluating the Impact of School-wide  Positive Behavior Support

Cafeteria Class Commons Hall

12:00

Lang.

Defiance

Disrespect

Harrass Skip

Page 45: Data-based Decision-making: Evaluating the Impact of School-wide  Positive Behavior Support

Langley Elementary School

478 Students

Kindergarten - Grade 5

Page 46: Data-based Decision-making: Evaluating the Impact of School-wide  Positive Behavior Support
Page 47: Data-based Decision-making: Evaluating the Impact of School-wide  Positive Behavior Support
Page 48: Data-based Decision-making: Evaluating the Impact of School-wide  Positive Behavior Support
Page 49: Data-based Decision-making: Evaluating the Impact of School-wide  Positive Behavior Support

What Does a Reduction of 850 Office Discipline Referrals

and 25 Suspensions Mean?Kennedy Middle School

• Savings in Administrative Time

• ODR = 15 minutes/ event• Suspension = 45

minutes/event• 13,875 minutes• 231 hours• 29, 8-hour days

• Savings in Student Instructional Time

• ODR = 45 minutes/ event• Suspension = 216

minutes/ event• 43,650 minutes• 728 hours• 121, 6-hour school days

Page 50: Data-based Decision-making: Evaluating the Impact of School-wide  Positive Behavior Support

Is Implementation Related to Reduction in Problem Behavior?

767 students

Page 51: Data-based Decision-making: Evaluating the Impact of School-wide  Positive Behavior Support

Are Schools Adopting School-wide PBS to Criterion?

• Use the: – Team Implementation Checklist (TIC)– School-wide Evaluation Tool (SET)– EBS Self-Assessment Survey (School-wide section)

– Other

• Measure and analyze annually We’ll focus on TIC today!

Page 52: Data-based Decision-making: Evaluating the Impact of School-wide  Positive Behavior Support

Team Implementation Checklist (TIC)

• Characterizes the evolution of School-wide PBS implementation:– “Achieved,” “In progress,” or “Not started”

• Assists in: – Initial assessment– Getting started on action plan– Measuring progress of School-wide PBS

Implementation

• Assesses team-based response– Quarterly or monthly

Page 53: Data-based Decision-making: Evaluating the Impact of School-wide  Positive Behavior Support

TIC Feature Areas1. Establish Commitment2. Establish and Maintain Team3. Conduct Self-Assessment4. Define Expectations5. Teach Expectations6. Establish Reward System7. Establish Violations System8. Establish Information System9. Build Capacity for Function-based Support10.Ongoing Activities

Page 54: Data-based Decision-making: Evaluating the Impact of School-wide  Positive Behavior Support

Checklist #1: Start-Up Activity

Complete and submit Monthly. Status: Achieved, In Progress, Not Started

Date:(MM/DD/YY)

Establish Commitment1. Administrator’s support and active involvement.

Status:

2. Faculty/Staff support (One of top 3 goals, 80% of faculty document support, 3 year timeline).

Status:

Establish and Maintain Team3. Team established (representative).

Status:

4. Team has regular meeting schedule, effective operating procedures.

Status:

5. Audit is completed for efficient integration of team with other teams/initiatives addressing behavior support.

Status:

Self-Assessment6. Team/faculty completes EBS self-assessment survey.

Status:

7. Team summarizes existing school discipline data.

Status:

Team Implementation Checklist

Page 55: Data-based Decision-making: Evaluating the Impact of School-wide  Positive Behavior Support

8. Strengths, areas of immediate focus and action plan are identified.

Status:

Establish School-wide Expectations9. 3-5 school-wide behavior expectations are defined.

Status:

10. School-wide teaching matrix developed.Status:

11. Teaching plans for school-wide expectations are developed.

Status:

12. School-wide behavioral expectations taught directly and formally.

Status:

13. System in place to acknowledge/reward school-wide expectations.

Status:

14. Clearly defined and consistent consequences and procedures for undesirable behaviors are developed.

Status:

Establish Information System15. Discipline data are gathered, summarized, and reported.

Status:

Build Capacity for Function-based Support16. Personnel with behavioral expertise are identified and involved.

Status:

17. Plan developed to identify and establish systems for teacher support, functional assessment and support plan development and implementation.

Status:

Team Implementation Checklist continued

Page 56: Data-based Decision-making: Evaluating the Impact of School-wide  Positive Behavior Support

Checklist #2: On-going Activity Monitoring

Complete and submit Monthly. Status: Achieved, In Progress, Not Started

1. EBS team has met at least monthly.Status:

2. EBS team has given status report to faculty at least monthly.

Status:

3. Activities for EBS action plan implemented.Status:

4. Accuracy of implementation of EBS action plan assessed.

Status:

5. Effectiveness of EBS action plan implementation assessed.

Status:

6. EBS data analyzed.Status:

Team Implementation Checklist continued

Page 57: Data-based Decision-making: Evaluating the Impact of School-wide  Positive Behavior Support

Scoring the TIC• Implementation Points

– Achieved = 2 – In progress = 1 – Not Started = 0

• Percentage of Items Implemented – Total

Number of items scored as “Achieved” divided by 17 (items)– Subscale scores

Number of items in each subscale area scored as “Achieved” divided by the number of items in that subscale area

• Percentage of Points Implemented– Total

Total number of points divided by 34– Subscale scores

Total number of points in each subscale divided by total number of items multiplied by 2

Page 58: Data-based Decision-making: Evaluating the Impact of School-wide  Positive Behavior Support

Team Implementation Checklist (TIC)

Page 59: Data-based Decision-making: Evaluating the Impact of School-wide  Positive Behavior Support

Team Implementation Checklist (TIC)

Page 60: Data-based Decision-making: Evaluating the Impact of School-wide  Positive Behavior Support

Total Average TIC Scores School

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

Nov-03 Dec-03 Apr-04 Oct-03 Dec-03 Mar-04 Sep-03 Oct-03 Nov-03 Feb-04 Mar-04 May-04

Mar-03 Nov-03 Jan-04 Apr-04

1 2 3 4

Schools

Page 61: Data-based Decision-making: Evaluating the Impact of School-wide  Positive Behavior Support

Team Implementation Checklist

0

10

20

30

40

50

60

70

80

90

100

Commitm

ent

Team

Self A

sses

smen

t

SW E

xpec

tatio

ns

Info

rmat

ion S

yste

m

Funct

ion-bas

ed Sup

port

over

all

% i

mp

lem

ente

d

Pre-PBS

1. What is working well? 2. What are next steps?

Page 62: Data-based Decision-making: Evaluating the Impact of School-wide  Positive Behavior Support

1. What is going well? 2. What are next steps?

Team Implementation Checklist

010

2030

4050

6070

8090

100

Commitm

ent

Team

Self A

sses

smen

t

SW E

xpec

tatio

ns

Info

rmat

ion S

yste

m

Funct

ion-bas

ed Sup

port

over

all

% i

mp

lem

ente

d

Pre-PBS Year 1

Page 63: Data-based Decision-making: Evaluating the Impact of School-wide  Positive Behavior Support

Team Implementation Checklist

010

2030

4050

6070

8090

100

Commitm

ent

Team

Self A

sses

smen

t

SW E

xpec

tatio

ns

Info

rmat

ion S

yste

m

Funct

ion-bas

ed Sup

port

over

all

% i

mp

lem

ente

d

Pre-PBS Year 1 Year 2

1. What is going well? 2. What are next steps?

Page 64: Data-based Decision-making: Evaluating the Impact of School-wide  Positive Behavior Support

Main Messages• Invest in prevention• Create an effective environment

– Leadership, teams; hosts for effective practices

• Use different systems for different problems– Individual student level alone will be insufficient– Collaboration with Mental Health Professionals

• Build a culture of competence– Define, teach, monitor, and reward appropriate behavior

• Build sustainable systems– Resist person-dependent interventions

• Invest in gathering and using information for decision-making and problem-solving

Page 65: Data-based Decision-making: Evaluating the Impact of School-wide  Positive Behavior Support

Action Planning• Use your self-assessment information

– Rally School-wide commitment– Establish a PBS Team– Focus on prevention (define, teach, monitor, and

reward appropriate behavior)Ask kids tomorrow if they know the expectationsAsk kids if they are being acknowledged for appropriate

behavior

– Use information system to guide implementation efforts

• Build Action Plan– When will the team meet?– What will be reported to faculty?– What will be reported to families?

Page 66: Data-based Decision-making: Evaluating the Impact of School-wide  Positive Behavior Support

Action Planning

• Which system are you going to work on?• What are the specific outcomes?

– When will they be completed?– What short-term activities are needed?– Who will be responsible?

• Reporting Schedule– What information will be gathered and by whom?– When will information be reported?