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Analyzing Your Universal Screening Data Tom Jenkins, Ed.D. Educational Consultation Services, LLC Wilmington, NC

Analyzing Your Universal Screening Data

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Analyzing Your Universal Screening Data. Tom Jenkins, Ed.D. Educational Consultation Services, LLC Wilmington, NC. Building Your Infrastructure. Formative evaluation process Informed by data Highly involved school-based leadership team (SBLT) School-based coach - PowerPoint PPT Presentation

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Page 1: Analyzing Your Universal Screening Data

Analyzing Your Universal Screening Data

Tom Jenkins, Ed.D.Educational Consultation Services, LLCWilmington, NC

Page 2: Analyzing Your Universal Screening Data

Building Your Infrastructure

• Formative evaluation process

• Informed by data• Highly involved school-based leadership

team (SBLT)• School-based coach

– Provide Technical Assistance– Interpretation and Use of Data– Facilitates regular data meetings for building

and grade levels

Page 3: Analyzing Your Universal Screening Data

Formative Evaluation Component of Infrastructure

• What we need:– Screening system for

identifying students at risk

– Diagnostic assessment tools for identifying specific needs of students identified by screening

– Systematic, explicit, research based instructional strategies – differentiated instruction

– Progress monitoring plan– Evaluation of whether

instruction is effective

Page 4: Analyzing Your Universal Screening Data

Data For Each Tier - Where Do They Come From?

• Tier 1: Universal Screening, accountability assessments, grades, classroom assessments, referral patterns, discipline referrals

• Tier 2: Universal Screening - Group Level Diagnostics (maybe), systematic progress monitoring, formative assessment large-scale assessment data and classroom assessment

• Tier 3: Universal Screenings, Individual Diagnostics, intensive and systematic progress monitoring, formative assessment, other informal assessments

Page 5: Analyzing Your Universal Screening Data

Data For Each Tier – Where Do They Come From?

Addl.Diagnostic

Assessment

InstructionResults

Monitoring

IndividualDiagnostic

IndividualizedIntensive

weekly

Screen All Students

Monthly

Screening

Bench-Mark

Assessment

AnnualTesting

Behavior Academics

None ContinueWithCore

Instruction with differentiation

GradesClassroom

AssessmentsYearly Assessments

StandardProtocol

SmallGroupInterventionBy skill

2 times/month

Step 1Step 2 Step 3 Step 4

Supplemental

1-5%

5-10%

80-90%

Core

Intensive

Page 6: Analyzing Your Universal Screening Data

Tier I - Core/Benchmark

• Universal Screening – Academics: Screen all students, begin in

kindergarten; 3 times per year with appropriate early literacy and math measures

– More intense instruction and monitoring within classroom for students below cut scores

– See worksheet

Page 7: Analyzing Your Universal Screening Data

Cut Score Worksheet• Step One: Put all student scores on

the university screening measure on a histogram type chart.

• Step Two: Calculate typical Growth Rate of specific skills. Three formulas can be used here.

• EOYBM – BOYBM / 36 weeks = GR• Or• EOYBM – MOYBM / 18 weeks = GR• Or• MOYBM – BOYBM / 18 weeks = GR• Step Three: Determine the Targeted

Growth Rate for students. Two formulas can be used here depending on the desired amount of ambitiousness.

GR * 1.5 = TGR

• OrGR * 2.0 = TGR

Page 8: Analyzing Your Universal Screening Data

Cut Score Worksheet• Step Four: Calculate the Growth Goal for

the instructional period. • TGR * NWI (18 or 36) = GG• Step Five: Calculate the Cut Score for

determination of level of instruction. Two formulas can be used here depending on the length of the instructional period used in step four.

MOYBM – GG = CS

• OrEOYBM – GG = CS

• Step Six: Using the Cut Score place a line of demarcation on the histogram created in step one. Any students above the Cut Score should obtain the GG via Core instruction. Any students below the Cut Score may need Strategic instruction to obtain the TGR and GG. Students in need of Intensive instruction should be identified using progress monitoring data during Strategic instruction implementation. Progress monitoring within all three tiers allows for students movement between the tiers during the instructional period.

Page 9: Analyzing Your Universal Screening Data

Cut Score Worksheet Activity

• Knowing that your MOYBM is 40 and your BOYBM is 20 what would be the cut score using a accelerator of 1.5?

• BOYBM = 20• MOYBM = 40• 18 weeks of

instruction/intervention• Accelerator of 1.5

Page 10: Analyzing Your Universal Screening Data

Universal Screening ResultsFidelity Check: Are you doing the right

thing?

• Assess success of instructional program– Percent of students at or above benchmarks– If necessary, examine curriculum, instruction,

or both

• Identify students below benchmarks– Interventions within general education

classroom– Assess progress and consider need for more

intensive interventions

Page 11: Analyzing Your Universal Screening Data

Decision Rules: What is a “Good” Response to Intervention?

• 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

– Level of “risk” lowers over time

• 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.

Page 12: Analyzing Your Universal Screening Data

Performance

Time

Positive Response to Intervention

Expected Trajectory

Observed Trajectory

Page 13: Analyzing Your Universal Screening Data

Decision Rules: Linking RtI to Intervention Decisions

• Positive

• Continue intervention with current goal

• Continue intervention with goal increased

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

Page 14: Analyzing Your Universal Screening Data

Decision Rules: What is a “Questionable” Response to Intervention?

• 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

– Level of “risk” remains the same over time

• Poor Response

– Gap continues to widen with no change in rate.

Page 15: Analyzing Your Universal Screening Data

Performance

Time

Questionable Response to Intervention

Expected Trajectory

Observed Trajectory

Page 16: Analyzing Your Universal Screening Data

Decision Rules: Linking RtI to Intervention Decisions

• Questionable

– 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.

Page 17: Analyzing Your Universal Screening Data

Decision Rules: What is a “Poor” Response to Intervention?

• 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.

– Level of “risk” worsens over time

Page 18: Analyzing Your Universal Screening Data

Performance

Time

Poor Response to Intervention

Expected Trajectory

Observed Trajectory

Page 19: Analyzing Your Universal Screening Data

Decision Rules: Linking RtI to Intervention Decisions

• Poor

– 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)

Page 20: Analyzing Your Universal Screening Data

I, We, You

• Analyze the universal screening data provided to determine who needs strategic intervention, intensive intervention, and follow-up diagnostic assessments?

• Use all three methods. • Which ones correlate the

most?

Page 21: Analyzing Your Universal Screening Data

Questions?

• Dr. Tom Jenkins, Director• Educational Consultation Services, LLC• Wilmington, NC• (910) 367-7209• [email protected]