Orient Campuses to Data • Assist in Data Analysis • Provide Feedback System
Data Coaching Services
Data Analysis Model
and Process
February 2012
Challenge
“…take the abundance of school
data generated each year and turn
it into information that can lead to
improvements in educational
practice.”
--Jeffrey C. Wayman, The University of Texas
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Charge
•Develop a systemic model and
process to analyze data for
student achievement
•Align the model and process with
Dallas ISD instructional initiatives
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Research
The understanding, use, and
implementation of data analysis tools
and practices are key components to
improving student achievement.
Best Practices and Research for Data Analysis Tools
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Research
Best practices from various sources
have been studied for the
development of the Data Coaching
Services Data Analysis Model and
Process.
Best Practices and Research for Data Analysis Tools
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Data Analysis Model
and Process
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The Data Analysis
Model Layers
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The Data Analysis Model Layers
Data Analysis Model Layers
Process Steps
Embedded Data Practices
District Initiatives
Student Achievement
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Student Achievement
Student Achievement
(Inner Circle)
The Data Analysis Process
provides campus leaders and
teachers tools to analyze data
and develop action plans to
monitor and improve student
achievement.
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District Initiatives
District Initiatives
(Center Ring)
The Data Analysis Process is
integrated with district
initiatives, such as Response
to Intervention (RtI), the
Principles of Learning (POLs),
and the Curriculum,
Instruction, Assessment, and
Accountability model (CIA2).
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Embedded Data Practices
Embedded Data
Practices
(Middle Ring)
Data-driven dialogue and
instructionally relevant
questions should be
embedded as an ongoing
practice when considering
data analysis.
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Process Steps
Process Steps
(Outer Ring)
The outer ring outlines the
steps of the Data Analysis
Process.
These seven steps create a
process to analyze data for
student achievement.
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The Data Analysis
Process
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The Data Analysis Tool
Each step of the Data
Analysis Tool has a
corresponding section on
the Data Analysis Model
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Frame the Question
The first step in the process is
to determine what information
and questions need to be
answered. This step provides
direction and focus to the
process.
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Organize for Dialogue
The second step involves
organizing the group which will
analyze the data.
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Collect the Data
Select the source or sources
which will provide the data
needed to answer the
question(s). Multiple data
pieces should be gathered to
create a complete
representation of the data and
information required.
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Analyze the Data
This step involves evaluating
data using analytical and
logical reasoning to examine
each component of the data.
This will be done by
aggregating/disaggregating
data and identifying strengths,
weaknesses, and anomalies.
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Interpret the Data
At this step, discussion and
investigation will take place to
identify patterns, trends, and
tentative conclusions and
explanations.
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Select Actions
This step will address
appropriate data-driven
actions and measurable
relevant goals.
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Monitor Results
This step will identify the
process and responsible staff
for monitoring progress
towards relevant goals.
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Data is like . . .
A jigsaw puzzle. The separate pieces
may show interesting detail, but
together you can see the whole
picture. It represents going from the
unknown to the known.
The School Portfolio Toolkit, Victoria L. Bernhardt, 2002
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Contact Us
Data Coaching Services
www.dallasisd.org/datacoaching
Faustina Gallagher, Director fgallagher@dallasisd.org
Entaune Tyson, Manager etyson@dallasisd.org
Debbie Floyd, Data Coach dfloyd@dallasisd.org
Danielle Hernandez, Data Coach dahernandez@dallasisd.org
Janie Reyes, Data Coach jreyes2@dallasisd.org
2500 South Ervay St.
Dallas, TX 75215
(972) 749-2480
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