Novice Reduction for GAP Closure
Review, Analyze and Apply Data Diagnostic
This diagnostic addresses the apply component of reviewing, analyzing and applying data to school processes to bolster core instruction leading
to novice reduction. With your leadership team discuss each component and use evidence to determine within which performance level your
school operates. If you discover that your school review, analyze and apply data processes fall below the exemplary performance level, there are
resources for you to use toward improvement on our webpage.
Overall
Component
Exemplary (4 points) Accomplished (3 points) Developing (2 points) Ineffective (1 point)
Schools/Districts
train multiple
stakeholders
with the ability
to review,
analyze and
apply data
aligned to goals
At least one person in
the district and in
each school is the
data point of contact
charged with
championing the
analysis and
application of the
data
Multiple district level
staff have the ability
to dive in depth into
the various sources of
available data
Multiple school level
staff have the ability
to dive in depth into
the various sources of
available data
Sound data analysis
processes are in place
Timely scheduled,
dedicated dates are
set to do analysis
Designated persons
share/explain the
data with teachers,
school board, SBDM,
parents, public,
media, etc.
Specific plans are in
place for applying
data at the classroom
level
At least one person in
the district and in each
school is the data point
of contact charged with
championing the
analysis and application
of the data
Sound data analysis
processes are in place
Timely scheduled,
dedicated dates are set
to do analysis
Data is shared/explained
with teachers, school
board, SBDM, parents,
public, media, etc.
Specific plans are in
place for applying data
at the classroom level
At least one district
and/or school level
staff have the
ability to dive in
depth into the
various sources of
available data
Data analysis
processes are in
place
Timely scheduled,
dedicated dates
are set to do
analysis
At least one district
staff person has
the ability to dive
in depth into the
various sources of
available data
Data analysis
processes are in
place
Review
Component
Exemplary (4 points) Accomplished (3 points) Developing (2 points) Ineffective (1 point)
School teams
use multiple
forms of data
Multiple data sources
are used in order to
gain as much
knowledge about a
student, or group of
students, as possible.
Data sources could
include:
Demographic-
attendance, notes from
parent conferences,
behavior records, etc.
Student Learning- state
assessment data,
interim assessment
data (common
assessment
administered routinely
and consistently,
commercial or
educator created),
progress monitoring,
intervention tab data,
prior data from
cumulative folders, unit
tests, projects
Perception- survey
data, student, family,
and stakeholder input
Practice/Processes
(scheduling,
course/intervention
opportunities, etc.)
Student learning data and
2 additional sources of
data are used in order to
gain as much knowledge
about a student, or group
of students, as possible.
Data sources could
include:
Demographic-
attendance, notes from
parent conferences,
behavior records, etc
Student Learning state
assessment data
(common assessment
administered routinely
and consistently,
commercial or educator
created), progress
monitoring, intervention
tab data, prior data from
cumulative folders, unit
tests, projects, classwork,
homework
Perception- survey data,
student, family, and
stakeholder input
Practice/Processes
(scheduling,
course/intervention
opportunities, etc.)
data is used to gain
knowledge about
students, along
with one additional
sources of data.
Only student
learning data is
used to gain
knowledge about
students.
Only student
learning data
is used to gain
knowledge
about
students.
Documented goals in
CSIP that are
congruent to those
goals found in School
Report Card
The school uses
interim assessment
data as progress
indicators and state
assessment data as the
measurement of goal
achievement this
data is documented,
discussed and
Documented goals in CSIP
that are congruent to
those goals found in
School Report Card
The school uses interim
assessment data as
progress indicators and
state assessment data as
the measurement of goal
achievement this data is
documented, discussed
and visualized quarterly
School team knows how
to navigate School Report
in CSIP that are
congruent to those
goals found in
School Report Card
Interim assessments
are administered,
but there is no
evidence of using
assessments to
measure progress
toward goals.
The only time
Goals are not
aligned or related
to goals in the
School Report Card
School team does
not access School
Report Card
No evidence of
using interim
assessments to
measure progress
toward goals
Review
Component
Exemplary (4 points) Accomplished (3 points) Developing (2 points) Ineffective (1 point)
visualized quarterly
School team knows
how to navigate and
interpret School
Report Card data and
can locate the
congruent data to
goals.
School team knows
how to interpret and
connect interim
assessment data (MAP
or ThinkLink) to state
achievement data.
School administrators
and other stakeholders
form a team to
implement this
practice
Card and can locate the
congruent data to delivery
goals
day after state
release of test
scores.
School team does
not know how to
navigate and
interpret School
Report Card or
interim assessment
data (MAP or Think
Link)
RESOURCES:
Using Student Achievement Data to Support Instructional Decision Making
Data Analysis 5 Step Process
Guide to Using Data in School Improvement Efforts, Learning Points Associates
Fish Bone Diagram, 5 Whys
Five Data Questions
Unbridled Learning Assessment and Accountability Resources
Analyze
Component
Exemplary (4 points) Accomplished (3 points) Developing (2 points) Ineffective (1 point)
Schools/District
s use a
systematic
process to
analyze data
A consistent process
is always used for
analyzing data
All staff are familiar
with the process and
could describe it, if
asked
The process is used in
multiple settings. For
example: analyzing
state test scores or
TELL Survey results in
a faculty meeting, or
teacher groups using
the process to
determine the
effectiveness of
instruction after a
culminating project.
Schools/districts have
a data team to
facilitate work around
data
Critical concepts are
defined, such as data,
progress, evidence
Ongoing data
meetings occur to
ensure the
district/school is on
track to improving
student outcomes
A consistent process is
always used for
analyzing data
All staff are familiar with
the process and could
describe it, if asked.
The process is used in
multiple settings. For
example: analyzing state
test scores or TELL
Survey results in a
faculty meeting, or
teacher groups using the
process to determine the
effectiveness of
instruction after a
culminating project
Critical concepts are
defined, such as data,
progress, evidence
Ongoing data meetings
occur to ensure the
district/school is on track
to improving student
outcomes
A process is
sporadically used
for analyzing data.
Some staff are
familiar with the
process, while
others are
unaware of using a
process
The process is
used mostly for
one type of data,
usually student
learning data, such
as state test
results
There is no process
in place for
analyzing data
District/School
stakeholders
analyze the
"why" (root
cause) behind
possible gaps
exposed in data
analysis
Districts/Schools use
Continuous
Improvement
strategies by using
quality tools and
processes that
hypothesize possible
problems in practice
(Fish bone diagram, 5
Whys)
Root Cause analysis is
based on appropriate
level data
Five data questions are
documented
Districts/Schools use
Continuous
Improvement strategies
by using quality tools
and processes that
hypothesize possible
problems in practice
(Fish bone diagram, 5
Whys)
Root Cause analysis is
based on appropriate
level data
Root cause analysis is
performed for areas of
concern exposed by the
School
administrators and
staff form a team
to hypothesize and
implement the
practice of
analyzing the gaps
in data
An analysis is
conducted on
appropriate level
data but lacks
connection to the
Root Cause analysis
method of analysis
A District/School
designee
individually reviews
the appropriate
level data and
shares the
hypothesis of
outcomes of data
with additional
District/School
leadership
Analyze
Component
Exemplary (4 points) Accomplished (3 points) Developing (2 points) Ineffective (1 point)
Root cause analysis is
performed for areas of
concern exposed by
the data
School administrators
and all staff form a
team to implement
this practice
data
School administrators
and all staff form a team
to implement this
practice
with little
documentation of
the “why” behind
the gaps
RESOURCES:
Using Student Achievement Data to Support Instructional Decision Making
Data Analysis 5 Step Process
Guide to Using Data in School Improvement Efforts, Learning Points Associates
Fish Bone Diagram, 5 Whys
Five Data Questions
Unbridled Learning Assessment and Accountability Resources
Apply
Component
Exemplary (4 points) Accomplished (3 points) Developing (2 points) Ineffective (1 point)
Future
Goals/objectives
are aligned to
needs
assessment that
comes from
data analysis.
As grade level teams
uses gaps exposed in
data analysis to
strategically align acts
of improvement (with
team consensus).
Objectives are aligned
to delivery target
trajectories
School level processes
and systems are
analyzed for equity of
access and student
needs based activities
Next classroom level
systems are
established to
implement activities
to push on goals and
objectives.
Goals, objectives, and
activities are
documented in CSIP
and approved by
As grade level teams,
school staff uses gaps
exposed in data analysis
to strategically align acts
of improvement (with
team consensus).
Objectives are aligned to
delivery target
trajectories
School level processes
and systems are analyzed
for equity of access and
student needs based
activities
Next classroom level
systems are established
to implement activities to
push on goals and
objectives.
School staff uses
gaps exposed in
data analysis to
strategically align
acts of
improvement and
documents
resulting goals and
objectives in CSIP.
Goals/Objectives
and activities are
communicated to
staff initially but
are not revisited.
School staff
establishes goals
and objectives with
no alignment to
gaps exposed in
data analysis then
records these
goals/objectives in
CSIP.
Apply
Component
Exemplary (4 points) Accomplished (3 points) Developing (2 points) Ineffective (1 point)
SBDM.
Progress indicators are
established to
measure progress
regularly
Grade level teams
reconvene regularly or
in PLCs to evaluate
results and plan for
improvement
RESOURCES:
Assessment Literacy
Literacy Design Collaborative
Data Wise In Action, Harvard Education Press
“Whatever it TakesHow Professional Learning Communities will Respond when Kids Don’t Learn, by: Richard DeFour, Rebecca
DuFour, Robert Eaker and Gayle Karhanek
Principles of Good Data Analysis
Engage Staff in Analyzing the Data