Universal Screener and Gap Analysis

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Universal Screener and Gap Analysis

• Kathy Haugan and
• Dr. Linda Fowler

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Session Overview

• Universal Screeners and RtI
• District Universal Screeners
• Median Scores
• Gap Analysis
• Progress Monitoring

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Its ALL About Data
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A Universal Screener is a basic assessment
procedure that helps identify academic
difficulties.

• Tied to academic standards
• Administered school-wide to all students
• Brief, reliable and valid
• Helps detect early problems and allocate
  resources accordingly
• Screening allows you to see the students
  progress relative to his peers.
• Use data to determine if the achievement gap is
  closing

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The role of RtI in Universal Screening

• RtI is a way of screening children, early in
  their schooling, that can help educators identify
  those who may not be responding to instruction.
  Alexa Posny,
• Assistant Secretary OSERS
• Identifies effective Tier I educational outcomes
  and indicates whether about 80 of students are
  achieving at expected levels.
• Compares student and subgroup scores to the rest
  of the grade in that school/district.
• Used to make instructional decisions.

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District Universal ScreenersReading

• FAIR Vocabulary K-2
• SAT10 2nd (Title I) and 3rd
• FCAT 4th-12th
• FAIR Maze and Word Analysis 3rd 10th

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District Universal ScreenersMath

• SAT10 2nd (Title I) and 3rd
• District Benchmark Assessments 3rd-8th
• 4th-12th Grade FCAT

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District Universal Screeners

• Writing
• Florida Writes 4th, 8th, 10th
• District Assessments K-10
• Behavior
• Office Discipline Referrals (ODRs)

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A New Way of Operating
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How to use Screening Data

• Calculate a grade level median.
• Determine whether 80 of students are at
  benchmark expectation.
• If not, implement Tier I Strategies for all
  students.
• Find your lowest 20 from the peer median on the
  screener and problem solve Tier II interventions
  for targeted groups.
• Progress monitor and graph the groups progress.

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Using the Median
.

• The median is the center of a distribution of
  scores.
• Half of the scores are above the median and half
  are below. Select the data in ascending order and
  choose the centered value.
• Ex. 1, 4, 9. The median is 4. When there is an
  even set of numbers, the median is the mean of
  the two middle numbers. Ex. 2, 4, 9, 12 (4
  9) / 2 6.5

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Why the Median?

• The median is an effective way to determine an
  approximate average when dealing with a set of
  numbers that could be skewed by outliers.
• The median is not sensitive to extreme scores.

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Example FCAT Scores
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Gap Analysis

• Gap Analysis is a tool for measuring the
  difference between the students current level of
  achievement and the benchmark expectation or the
  peer level of performance.
• A Gap Analysis is determined by dividing the
  expected benchmark by current student/subgroup
  performance. A significant gap is 1.5 or above.

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Steps and Examples of Gap Analysis

• Expectation is 68 WPM. Divide 68 wpm by 20 wpm
  (current student performance) 68/20 3.4 The gap
  this student has to close by the end of the year
  is 3.4.
• A significant gap is 1.5 or above (depending upon
  scores, using 1.25 may be acceptable).
• Formula Expected Score/ Student Score
• Peer Median/Student Score
• Expected Score/Peer Median

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Calculating What is Needed to Close the Gap

• Determine the student needs in order to close the
  gap. Subtract the students current performance
  from the expected benchmark. For example
• 90 wpm (spring expectation) 20 wpm (student
  score) 70 wpm (necessary to close gap)
• Determine realistic progress for student. 70 wpm
  divided by 15 week of intervention 4.6 wpm of
  weekly gain necessary.

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Practice for Gap Analysis

• Benchmark standard score on Mazes
• is 100.
• Peer Median SS on Mazes is 89.
• Student Standard Score on Maze is 62.
• Do the gap analysis for each of these areas
  according to the formulas.

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Answers to Gap Analysis Practice

• Benchmark/Peer 110/89 1.23
• Benchmark/Student 110/62 1.77
• Peer Median/Student 89/62 1.43

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Progress Monitoring

• FAIR Tool Kit
• dibels.uoregon.edu

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Graphing Reading Groups
Scores
Weeks
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Progress Monitoring Data is used to evaluate the
effectiveness of the intervention

• Gap analysis is conducted to determine a need for
  intervention and to provide students Tier II
  interventions in the areas of need compared to
  their peers and the benchmark expectation.
• When utilizing a progress monitoring tool, such
  as ORF, it is important to gather baseline data
  on the peer or subgroup performance on this
  measure by administering it to a small group of
  typically performing peers.

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What are your building level challenges?
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Contacts

• Dr. Linda Fowler, RtI Resource Specialist
• Professional Development
• 751-6550 ext. 2218
• Kathy Haugan, RtI Resource Specialist
• Professional Development
• 761-6550 ext. 2256
• Jessica Kearbey, RtI Secretary
• Professional Development
• 761-6550 ext. 2293