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miblsi.org Building Tier 1 Data Systems within the SWPBIS Framework School-wide Information System (SWIS), SWPBIS Tiered Fidelity Inventory (SWPBIS TFI), & Student Risk Screening Scale (SRSS) May 18, 2017 NEPBIS Leadership Forum Jennifer Rollenhagen & Susannah Everett
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Page 1: Building Tier 1 Data Systems within the SWPBIS Frameworkneswpbs.org/sites/default/files/H1. Building Tier 1 Data Systems... · Building Tier 1 Data Systems within the SWPBIS Framework

miblsi.org

Building Tier 1 Data Systems within

the SWPBIS Framework

School-wide Information System (SWIS),

SWPBIS Tiered Fidelity Inventory (SWPBIS TFI), &

Student Risk Screening Scale (SRSS)

May 18, 2017 NEPBIS

Leadership Forum

Jennifer Rollenhagen & Susannah Everett

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• OSEP PBIS Technical Assistance Center

• PBISApps, University of Oregon

Acknowledgements

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Session Intentions

Goal

Use a problem-solving model focused on guiding questions to develop evaluation plans, analyze within and across data sources, and share results to support Tier 1 action planning

Resources

• Evaluation Blueprint for School-Wide Positive

Behavior Interventions & Support

• PBIS Apps (pbisapps.org)

• Team Initiated Problem Solving (pbis.org)

Organizing and

Analyzing the

Data

• Developing School and District Specific Guiding Questions

• Data Sources

• Action Planning

Putting It Into

Practice• School Examples

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Foundational Statement

“Evaluation is the process of collecting and

using information for decision making. A

hallmark of School-wide Positive Behavior

Support (SWPBS) is a commitment to formal

evaluation.”

Evaluation Blueprint for School-Wide PBIS

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Never initiate an intervention

without having a plan for

evaluating the implementation

of that intervention.

Rob Horner

Foundational Action

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Why are schools asked to collect, submit, and

analyze SWPBIS data at the school level?

1. To use data as part of a continuous improvement

process

2. To evaluate the effectiveness of SWPBIS

implementation efforts and the effectiveness of

supports to improve student outcomes

SWPBIS Data

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What is the intention?

• Compliance vs. Continuous Quality

Improvement• Data Collection and

Organization

• Screening

• Progress Monitoring

• Data-based

Decision Making

• Intervention

Selection

• Intervention Plan

• Intervention

Implementation

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Systems Change

SYSTEMS

Supporting Staff Behavior

Supporting

Decision

Making

Supporting

Student

Behavior

OUTCOMES

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Tertiary—intensive,

individualized 5% of student

population

Secondary—targeted, small group

15% of student population

Universal—primary prevention

provided to all students, effective

for approximately 80%

Continuum of Decision Making

All specialized interventions are more effective

and more durable with universal, school-wide

behavioral expectations as a foundation.PBISApps, 2016

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• Have a shared goal to improve student

outcomes

• To get there we need to:

• Know if what we are doing is impacting our

outcomes

• Know if we are doing what we said we were going

to do

Big Ideas of Evaluation

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Data Based Decision Making for Improved

School Climate

Student Outcome

Data

Fidelity Data

Examples:

• Discipline Referrals

• Student Risk Screening Scale

• Credits Earned, GPA

• Attendance

• Suspensions/Expulsions

• Special Education Referrals

Examples:

• SW-PBIS Tiered Fidelity Inventory

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Data and Evaluation Planning

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Example School A

• What is our baseline, and where have we made progress

through the year?

• Are we improving on our implementation of PBIS?

• How do our individual staff members rate our

implementation?

• Are our initial efforts having an impact on student

outcomes?

Example School A: Newly implementing

Evaluation Questions

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School A: Evaluation PlanMeasure Year One Year Two Year Three

Fall Winter Spring Fall Winter Spring Fall Winter Spring

TFI X X X X

TIC X X X X X X X X X

School

Climate -

Student

XX

X

XX

SASX X X X

SWIS x x x x x x x x x

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Example School B

• What specific areas in PBIS are we strong in, and

in which areas do we need more training?

• Are we improving on our implementation of PBIS?

How is our implementation of Tier 2?

• How are we identifying students in need of

additional supports?

Evaluation QuestionsImplementing PBIS for three years, has been using the TIC/SET, and has

been consistently over 80%.

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School B: Evaluation PlanMeasure Year One Year Two Year Three

Fall Winter Spring Fall Winter Spring Fall Winter Spring

TFI

All 3 TiersX X X

TFI Tier 2

Subscalex x x x x x

School

Climate -

Student

XX

X

XX

SRSSx x X x x X x x X

SWIS x x x x x x x x x

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Evaluation QuestionsImplementing PBIS for three years, including Tier 2 for the last year. Invested

in supporting and integrating student mental health supports into the PBIS

framework.

• In what specific PBIS areas are we strong, and in which

areas do we need more training?

• How are we doing with our Tier 2 implementation? Are our

interventions matched to student need? Are we providing

supports to our at-risk students?

• Are we ready to start implementing Tier 3 systems and

practices? How do we match our practices with student and

families’ needs?

Example School C

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School C: Evaluation Plan

Measure Year One Year Two Year Three

Fall Winter Spring Fall Winter Spring Fall Winter Spring

TFI

All 3 TiersX X X

TFI Tier 3

Subscalex x x x x x

School

Climate -

Student

XX

X

XX

SRSSx x X x x X x x X

SWIS x x x x x x x x x

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Task: Developing Your Plan: Questions to

Consider

• Which surveys and data sources are you

currently using?

• Do they answer your evaluation questions:

• Are we implementing SWPBIS with fidelity?

• Is there more information that we need?

• Pbisapps.org > PBIS Assessment >

Find Out More about Surveys

• Do your surveys assess the Tiers you are

implementing?

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• Behaviors are operationally defined

• Standard practice for all

• The data should be very easy to collect

• 1% of staff time

• Office Discipline Referral Form (ODR)

• Data are presented in picture (graph) format

• Data are used for decision making

• The data must be available when decisions need to be made (weekly?)

• Difference between data needs at a school building versus data needs

for a district

• The people who collect the data must see the information used for

decision-making

Key Features of Data Collection Systems

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• Which tools answer our school’s (or district’s)

questions?

• Who will coordinate administration? How and when

will surveys and screening be administered?

• Who is responsible for summarizing the data?

• Which teams will have access to data and when?

• What data (and when) will you share with staff,

families and students, and district stakeholders?

Evaluation Planning

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SWIS, TFI, and SRSS

DATA SOURCES

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What is the School-Wide Information

System (SWIS)?

The School-Wide Information System (SWIS) is a web-based decision system used to improve

behavior support in schools and other educational facilities by providing school

personnel with accurate, timely, and practical information for making decisions about school

environments

• Make decisions based on data

• It’s more than just record keeping, it’s about decision making

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Why was SWIS developed?

Need: School teams implementing school-

wide positive behavior interventions and

supports (SWPBIS) needed effective decision

making at the school building or facility level.

Initial Developers: Seth May, William Ard III,

Anne Todd, Rob Horner, George Sugai,

Aaron Glasgow, and Jeff Sprague

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• Why focus on behavior?

• Social behavior is the single most common reason

students are excluded from education (U.S. Dept. of

Ed.)

• What’s the goal?

• To make schools more effective learning environments

• How?

• Repeatedly giving people the right information, at the

right time, in the right format is the single most effective

way to improve decision making and achieve valued

outcomes (Gilbert, 1978)

Value & Utility of SWIS

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• Decisions are more likely to be effective and

efficient when they are based on data

• The quality of decision making depends most

on the first step

• Defining the problem to be solved with precision

and clarity

Why Use Data for Decision Making

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• Data help us to ask the right questions...they

do not provide the answers

• Use data to:

• Identify problems

• Refine problems

• Define the questions that lead to a solution

• Data help place the “problem” in the context

rather than in the students

Using SWIS Data to Ask the Right Questions

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• The right data, at the right time, given to the

right people results in decisions that are

better, faster, cheaper

• To make decisions, schools need decision

systems with data that are:

• Relevant (right information in the right format)

• Accurate (consistent across staff, entered correctly)

• Timely (current, quick to find, continuously

available)

Using SWIS Data for Efficiency

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Using SWIS Data for Decision Making

• Universal Screening Tool for Externalizing Behaviors

• Proportion of student with:• 0-1 Major Office Discipline Referrals (ODRs)

• 2-5 Major ODRs

• 6+ Major ODRs

• Progress Monitoring Tool

• Summative Evaluation

• Compare data across time to prevent previous problem patterns

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Asking the Right Questions

• What are the data we need for a decision?

• Precise problem statements include information

about the following questions:

• What is the problem behavior?

• How often is the problem happening?

• Where is the problem happening?

• Who is engaged in the behavior?

• When is the problem most likely to occur?

• Why is the problem sustaining?

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Example Office Discipline Referral

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• Have a shared goal to improve student

outcomes

• To get there we need to:

• Know if what we are doing is impacting our

outcomes

• Know if we are doing what we said we were going

to do

Big Ideas of Evaluation

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• SWPBIS TFI Reports provide:

• A summary of the school’s SWPBIS implementation

efforts and encourages discussion of strengths and

areas of need

• A level of analysis that goes beyond initial

implementation of SWPBIS, which addresses

factors that impact sustainability including staff and

leadership changes which could impact SWPBIS

implementation efforts

Fidelity Data

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Data Based Decision Making for Improved

School Climate

Student Outcome

Data

Fidelity Data

Examples:

• Discipline Referrals

• Student Risk Screening Scale

• Credits Earned, GPA

• Attendance

• Suspensions/Expulsions

• Special Education Referrals

• School Climate Surveys

Examples:

• SW-PBIS Tiered Fidelity Inventory

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Universal Screening Definition

Universal screening is the systematic

assessment of all students on academic and

social-emotional indicators for the purpose of

identifying students who may be at-risk, and

may require support that varies in terms of level,

intensity and duration.

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Why Systematic Screening?

• If we do not systematically screen:

• Students may slip through the cracks

• There may not be equitable access to interventions and

other supports

• We could not fully examine the possible interaction of

academic and behavioral needs

• There are challenges to using SWIS as the only measure for

behavior

• Discipline referral data are reflective of of the procedural

fidelity of SWIS implementation

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• Systematic screening of behavior

• Examines the overall level of risk in a building

• Informs the use of teacher-delivered strategies

• Identifies students who may be at risk

• Measure that is both psychometrically sound and

socially valid

• Measure that is efficient and effective

• Data used to demonstrate need to allocate

resources to support students

Criteria of a Behavior Universal Screener

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Student Risk Screening Scale Introduction

Dr. Kathleen Lane

https://www.youtube.com/watch?v=ali98

QoPVKA&feature=youtu.be

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• SRSS: Student Risk Screening Scale

• SRSS-E7: Student Risk Screening Scale – Externalizing

7

• SRSS-I5: Student Risk Screening Scale – Internalizing 5

(Elementary)

• SRSS-I6: Student Risk Screening Scale – Internalizing 5

and Peer Rejection on both scales (Secondary)

• SRSS-IE: Student Risk Screening Scale-Internalizing and

Externalizing

Student Risk Screening Scale Acronyms

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Secondary & Elementary: Original 7-item screener to

identify students who are at risk for antisocial behavior:

• Steal

• Lie, Cheat, Sneak

• Behavior Problem

• Peer Rejection*

• Low Academic Achievement

• Negative Attitude

• Aggressive Behavior

SRSS - Externalizing 7 (SRSS-E7)

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Elementary: 5 new items associated with

internalizing behaviors

• Emotionally Flat

• Shy, Withdrawn

• Sad, Depressed

• Anxious

• Lonely

SRSS – Internalizing 5 (SRSS-I5)

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Secondary: 5 new items associated with

internalizing behaviors, along with Peer Rejection

• Emotionally Flat

• Shy, Withdrawn

• Sad, Depressed

• Anxious

• Lonely

• Peer Rejection*

SRSS– Internalizing 6 (SRSS-I6)

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• Students are rated on a 4-point Likert-type

scale for each item

• 0 = Never

• 1 = Occasionally

• 2 = Sometimes

• 3 = Frequently

SRSS Scoring

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SRSS Cut Scores

Scale Low

Risk

Moderate

Risk

High

Risk

SRSS-E7Elementary &

Secondary

0-3 4-8 9-21

SRSS-I5Elementary

0-1 2-3 4-15

SRSS-I6Secondary

0-3 4-5 6-18

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How SRSS Data are Used

SRSS is used:

• To inform instruction

• To determine access to

interventions when

analyzed with other

data

SRSS is not used:

• For special education

eligibility

• To exclude students

from opportunities

• As a personality test

• As a mental health

assessment

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Comparison of SRSS and SWIS DataSRSS-IE SWIS

• Universal Screening Tool

• Measures Externalizing &

Internalizing behaviors

• Preventative

• Can be analyzed in

combination with academic

data for all students

• “October Catch”

• Progress monitoring tool

• Measures externalizing

behavior

• Data on problem behaviors

that have already occurred

• Can examine motivation and

trends – Dashboard reports

and Drill Down

• Can be analyzed in

combination with academic

data for some students

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SRSS is administered 3x a year

• Fall: October

• 6 weeks after the start of school

• Winter: December

• 2-3 weeks before winter break

• Spring: April/May

• 6-8 weeks before the end of the school year

When the SRSS is Administered

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Always check for accuracy of the data, then...

School Leadership Team:

• Analyzes data to determine school-wide level of risk:

• >80% of students at Low Risk

• Analyzes SRSS, SWIS, & other data together

• Analyzes SRSS with behavior fidelity data: SWPBIS

TFI

Got SRSS Data. . . Now What?

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The SRSS-IE provides an overall rating of risk

(low, moderate, or high) for externalizing

behaviors and internalizing behaviors but the

measure is not intended to be analyzed at the

individual item level or combined across both

externalizing and internalizing behaviors at this

time

A Word of Caution

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Data Based Decision Making for Improved

School Climate

Student Outcome

Data

Fidelity Data

Examples:

• Discipline Referrals

• Student Risk Screening Scale

• Credits Earned, GPA

• Attendance

• Suspensions/Expulsions

• Special Education Referrals

Examples:

• SW-PBIS Tiered Fidelity Inventory

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One School’s Data: SWPBIS TFI

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One School’s Data: Discipline

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One School’s Data:

SRSS

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• Do the current tools you use answer your evaluation

questions?

• Are there any measures you would consider adding (i.e., the

SRSS?) to answer your questions?

• How about deleting?

• Do you have a comprehensive plan? Does the timing work

for your school?

• Do you have access to the surveys and data you need? Who

is responsible for summarizing this information? Which teams

need different data?

• What and when are you sharing data with staff and other

stakeholders?

Turn and Talk

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miblsi.orgmiblsi.org

Thank You!!

Jennifer Rollenhagen

[email protected]

Susannah Everett

[email protected]


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