School-Wide Universal Screening Analysis
The School-Wide Universal Screening Analysis was designed to help the Individual Problem Solving (IPS) Team identify
students most in need of Tier 3 problem solving. To do this work, the Team first considers individual vertical alignment, or
what data sources do we have on our students from elementary through high school, and what data sources are specific to one
level, such as, elementary only or middle only? Second, the Team will think through our CCS Data Decision Rules. Lastly, the
Team will prioritize students based on the intensity of the individual’s needs.
1. Vertical Alignment of Individual Data Sources
Individual
Student
Data
Sources
Vertical
Alignment
Elementary School
Middle School
Elementary
and Middle
Only
Reading 3D
Dreambox
AIMSWeb
ElementaryMiddle
ElementaryHigh
Updated 8/27/14
High School
Report Card
Report Card/Transcript
End of Grade (EOG)
End of Course (EOC)
Discovery Education
Attendance
Office Discipline Referrals (ODR)
Retention(s)
School-Wide Universal Screening Analysis
2. CCS Data Decision Rules: To determine students appropriate for Individual Problem Solving Team (i.e., the 5% of students who are
most “off track”), the Team will use CCS Data Decision Rules, including the Early Warning System Thresholds.
Decision Rules by Level
Elementary
and Middle
Only
CCS
Data Decision
Rule(s)
Middle School
Data Team Graphic
(See page 4)
Reading and Math Graphics
(See page 5-6)
Gap Analysis*
ElementaryHigh
Like-Peer Comparison with Discovery Education (DE)
Middle School
High School
Course
Performance
Has the student failed an ELA
or math course?
Has the student failed one or more
courses OR has the student earned
a GPA of 2.0 or lower on a 4.0 Scale?
Attendance
Has the student missed 20% or
more of instructional time?
Has the student had 6 or more
ODR’s?
Has the student missed 10% or
more of instructional time?
Has the student had 6 or more
ODR’s?
Discipline
Elementary School
* Gap Analysis: Elementary Schools use Reading 3D & Dreambox; Middle Schools use AIMSWeb
Updated 8/27/14
High School
ElementaryMiddle
EWS Indicators
Early
Warning
System (EWS)
Thresholds
Elementary School
School-Wide Universal Screening Analysis
3. Prioritize students from most at risk to least at risk: Based on the data decision rules, begin sorting students into buckets,
based off of common need, until you capture 5% of your school’s population.
For example, high schools would create three
buckets: academic only (course failure flags), academic & behavior (course failure and a attendance or behavior flags) and
behavior only (attendance and/or behavior flags). Students having 3 flags are more concerning than students having 2 flags.
WANT TO SAVE YOURSELF SOME TIME? With your Team, take a step back and look. Are you noticing any common patterns in the
students your Team has found to be most at risk? Take some time to have conversation around these common patterns. Can you
make any connections with instruction, curriculum, and/or environment? If so, the Team will likely find it more efficient to address
common needs through these bigger ideas, rather than one student at a time.
Is this an individual student concern?
(Like peer comparison- approximately 80% of similar peers by gender and ethnicity are meeting target)
Is this a significant, individual student concern?
(Gap Analysis- student is performing at a gap >2.0 in skill area)
BASED ON THESE TWO QUESTIONS, IS THE STUDENT APPROPRIATE FOR INDIVIDUAL PROBLEM SOLVING?
If Yes
Schedule for IPST
Updated 8/27/14
If No
Look at other teaming options for student support:
Elementary: Data Team
Secondary: Professional Learning Community, GradeLevel Team, Administration
School-Wide Universal Screening Analysis
Elementary: Data Team Graphic
Updated 8/27/14
School-Wide Universal Screening Analysis
Middle Schools: Reading Graphic
Updated 8/27/14
School-Wide Universal Screening Analysis
Middle Schools: Math Graphic
Updated 8/27/14
School-Wide Universal Screening Analysis
Middle and High Schools: Early Warning System (EWS) Thresholds
Updated 8/27/14