Data-Based Problem Solving and Data Systems

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DATA-BASED PROBLEM SOLVING AND DATA SYSTEMS

Shelby Robertson, Ph.D.Therese Sandomierski, MA

Pamela Sudduth, MA

This Session:• Solidify a vision for problem solving

at Tier 1

• See some examples of what it looks like for different domains

• Become familiar with some resources that are available to support DBPS

DBPS Workgroup• Develop a model/template for data-

based problem solving across tiers… – Can be applied by schools and districts

• Primary outcomes will be the conceptual framework, training resources, and exemplars for professional development at the district level. – “Library” for consultants

What Is Data-Based Problem Solving?

Decisions in a MTSSS Framework are based on student performance data. Data-Based Problem Solving is infused in all components of a MTSSS practice.

At the screening level, data would be used to make decisions about which students are at risk of their needs not being met. In the progress monitoring stage, data is used to make decisions about effectiveness of interventions. Decisions to increase or decrease levels of intervention within a Multi-Tiered Systems of Support Framework are based on student performance data.

Why is Data-Based Problem Solving Important?

Data-based decisions regarding student response to intervention is central to the MTSSS Framework. Important educational decisions about intensity and likely duration of interventions are based on individual student response to instruction across multiple tiers of interventions and are informed by data on learning rate and level.

Knowing why and for what purpose data is being collected is imperative. When the purpose and intent of data collection is known, the data can be used to make various decisions.

Why is Data-Based Problem Solving Important?

What Should Schools Consider?

Three types of data are gathered within a MTSSS process:

• Data as a result of universal screening is used to identify those students who are not making academic or behavioral progress at expected rates

• Data as a result of diagnostic assessment is used to determine what students can and cannot do in important academic and behavioral domains

• Data as a result of progress monitoring is used to determine if academic or behavioral interventions are producing desired effects.

Data collection leads to appropriate support and strategic instruction for

ALL students.

When looking at data, a team may decide: – if the delivery of the core curriculum should

be altered,– if more information is needed, – or if supplemental instruction needs to be

added.

Data that is collected will also inform the school whether or not the problem exists as a result of the classroom environment, intervention, curriculum, instruction, or learner.

Problem Solving Process

Define the ProblemWhat Do We Want Students to KNOW and Be Able to DO?

Problem AnalysisWhy Can’t They DO It?

Implement PlanWhat Are WE Going To DO About

EvaluateDid It WORK?

(Response to Intervention –RtI)

Step 1/Tier 1Integrated Guided Questions

Guiding Questions: Step 1 – Problem ID

• What do we expect our students to know, understand, and be able to do as a result of instruction?

• Do our students meet or exceed these expected levels? (How sufficient is the core?)

• Are there groups for whom core is not sufficient?

Full Option Graduates!

Both domains focus on a common goal:

Academics BehaviorNGSSS for all grade levels, content areas

• School-Wide expectations• Character Education Traits• School-Wide social skills curricula• School/District mission statements

What do we expect our students to know, understand, and be able to do as a result of

instruction?

To effectively address student outcomes, schools must address

both domains.

How sufficient is the core?

Are there groups for whom core is not sufficient?

How to Answer the Questions: Behavior

• Attendance• Tardies• Suspensions• Discipline referrals• Surveys

– Locally developed, safety, climate, substance abuse

• Percent participating in Tier 1 system

www.swis.org

www.flrtib.org

Guiding Questions: Step 2 – Problem Analysis

• If the core is NOT sufficient for either a “domain” or group of students, what barriers have or could preclude students from reaching expected levels?

Step 2/Tier 1 Integrated Guided Questions

Instruction Curriculum Environment Learner

Alignment with Standards and Across Grade/School Levels, Relevancy to Students’ Personal Goals,Content, Pacing, Progression of Learning, Differentiation

Cognitive Complexity of Questions and Tasks, Gradual Release of Responsibility, Appropriate Scaffolding, Connection to Students’ Personal Goals, Interests and Life Experiences

Reward/Consequence System,Visual Cues,Climate/Culture, Quality of Student/Adult Relationships, Quality of Peer Relationships, High Expectations for ALL Students, Collaboration and Voice

Reinforcement Preferences, Perceptions of Competence and Control, Perceived Relevancy of Instruction/Education, Integration and Affiliation with School, Academic/Social-Emotional Skill Development

HypothesesHypothesis Data Source

Examples

I Instruction did not include modeling and guided practice.

Lesson plans, observations, report/survey data, permanent products

C Skills targeted in the lessons did not align with the NGSSS

Lesson plans,Observations of task, assignments and assessments

ESchool-wide reinforcement program includes few developmentally appropriate reinforcement options.

Review of school-wide behavior plan,Student survey and student focus group feedback

A substantial amount of instructional time is lost due to excessive absenteeism . Attendance, ODRs,

Suspensions

Reaching Expected Levels

If the core is NOT sufficient for either a “domain” or group of students, what barriers have or could preclude students from reaching expected levels?

What potential barriers have precluded us from improving student outcomes?

Lack of…• Common Assessments• Common Planning• Ongoing Progress Monitoring• Curriculum Mapping Aligned with

NGSSS and Common Assessments

• Resource Availability• Administrative Support• Professional Development

Possible Data Sources for Analysis

I Lesson plan review, instructional observations, survey data, permanent products

CLesson plans, Observations of task, assignments and assessments

EReview of school-wide behavior plan, student survey and student focus group feedback, walk-through assessments, climate surveys, behavior plan/fidelity measures

LAttendance, ODRs, suspensions, Assessment of academic/social-emotional skill development

Analyzing Identified Problems

The school-wide reinforcement program IS NOT being implemented with fidelity…

This Week Last Week Last Month Don't Remember0

10203040506070 “Last Time I Gave/Received a Panther

Buck”

Students Staff

Guiding Questions: Step 3 – Plan Development & Implementation• What strategies or interventions will be used?

– What resources are needed to support implementation of the plan?Planning for Step 4

• How will sufficiency and effectiveness of core be monitored overtime?– How will the data be displayed?

• How will fidelity of interventions be monitored over time?

• How will fidelity of the problem solving process be monitored over time?

• How will “good”, “questionable,” and “poor” responses to intervention be defined?

What strategies or interventions will be used?

Math ResourcesWhat resources are needed to support implementation of the plan?

Literacy ResourcesWhat resources are needed to support implementation of the plan?

http://www.flrtib.org

http://flpbs.fmhi.usf.edu

Tier 1 Interventions (Behavior)

Based on the function of the problem behavior– Teach the skill– Reward the skill– Consequate effectively

• Referrals by expectation, context, motivation, admin decision will help inform the possible function

• www.flpbs.fmhi.usf.edu for examples

How will sufficiency and effectiveness of core be monitored overtime?

Common Assessment Example

Monitoring the Core (Behavior): Referrals per Day/Month

www.flrtib.org

How will fidelity be monitored over time?

• Fidelity of implementation is the delivery of instruction in the way in which it was designed to be delivered.

• Fidelity must also address the integrity with which screening and progress-monitoring procedures are completed and an explicit decision-making model is followed.

• Fidelity also applies to the problem solving process…bad problem solving can lead to bad decisions to implement otherwise good interventions.

Monitoring the Core (Behavior):Fidelity

• Depends on the intervention!– Lesson plans with built-in fidelity

checklists– Permanent products of lessons– Token sign-out logs– Counts of positive post cards– Parent call logs

• Implementation measures• Surveys, focus groups

observations

Implementation Measures: PBS Implementation Checklist

Implementation Measures: Benchmarks of Quality

How will “good”, “questionable,” and “poor” responses to intervention be

defined?

Decision Rules:• Positive Response

– Gap is closing– Can extrapolate point at which target student(s) will

“come in range” of target--even if this is long range• Questionable Response

– Rate at which gap is widening slows considerably, but gap is still widening

– Gap stops widening but closure does not occur• Poor Response

– Gap continues to widen with no change in rate.

Defining Adequate Response: Tier 1 for Behavior

• School-Wide screenings (< 20% identified)

• ODRs by October (< 2 majors)• Teacher nominations, ESE (EBD)

referrals• Declining trend* in discipline data • Attendance, tardies

Step 4 – Plan Evaluation of Effectiveness• Have planned improvements to core been

effective?

Performance

Positive Response to Intervention

Expected Performance

Observed Performance

Winter Spring

Gap is closing, Can extrapolate point at which target student(s) will “come in range” of target--even if this is long range

Performance

Positive Response to Intervention

Expected Trajectory

Observed Trajectory

Performance

Questionable Response to Intervention

Winter Spring

Rate at which gap is widening slows considerably, but gap is still widening

Gap stops widening but closure does not occur

Performance

Questionable Response to Intervention

Expected Trajectory

Observed Trajectory

Performance

Poor Response to Intervention

Winter Spring

Gap continues to widen with no change in rate.

Performance

Poor Response to Intervention

Expected Trajectory

Observed Trajectory

Have our interventions been effective?

DecisionsWhat to do if RtI is:

• Positive• Continue intervention with current goal

• Continue intervention with goal increased

• Fade intervention to determine if student(s) have acquired functional independence.

• Questionable– Was our DBPS process sound?– Was intervention implemented as intended?

• If no - employ strategies to increase implementation integrity

• If yes -– Increase intensity of current intervention

for a short period of time and assess impact. If rate improves, continue. If rate does not improve, return to problem solving.

• Poor– Was our DBPS process sound?– Was intervention implemented as intended?

• If no - employ strategies in increase implementation integrity

• If yes -– Is intervention aligned with the verified

hypothesis? (Intervention Design)– Are there other hypotheses to consider?

(Problem Analysis)– Was the problem identified correctly?

(Problem Identification)

We CANNOT Continue to Ignore the Data…

Will we meet our goal of 100% by 2014?

FLDOE Race to the TopLocal Instructional Improvement System

Minimum Standards

FLDOE identified nine component areas of a LIIS and specific

requirements for each.

6. Analysis and Reporting-The system will leverage the availability of data about students, district staff, benchmarks, courses, assessments, and instructional resources to provide new ways of viewing and analyzing data.

8. Data Integration-The system will include or seamlessly share information about students, district staff, benchmarks, courses, assessments, and instructional resources to enable teachers, students, parents, and district administrators to use data to inform instruction and operational practices.

• Academics & Behavior influence one another in a multitude of ways

• Systems & resources are being developed to support DBPS– RtI:B database– Workgroup models & materials

The Reciprocal Nature of Academic & Behavior Outcomes

Thank You!

Data-Based Problem Solving and Data Systems

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