Using Data Deb Wragge, Carol Jessen Professional Staff Developers TO GUIDE ACTION FOR SCHOOL IMPROVEMENT Building a Data Team
Mar 22, 2016
Using Data
Deb Wragge, Carol JessenProfessional Staff Developers
TO GUIDE ACTION FOR SCHOOL IMPROVEMENT
Building a Data Team
Goals:To define, prepare, and establish
an active and effective Data TeamTo recognize and implement
effective data collection and display
To study, practice and implement a data inquiry protocol
AgendaNorfolk Catholic Schools Data Team Meeting
Meeting Date & Time Wednesday, September 19, 2012, 1:00-3:00 pm
Meeting ObjectiveOrganize and Implement the Data Team Structure & Assign Initial Data Assignments
Expected Outcome(s)
• Orientation of Data Team• Creation Norms and Belief & Purpose Statements• Completion Step 1: Ask Good Questions and
begin Step 2: Collect Data
Team Norms To Be Determined
Statements of Belief and Purpose To Be Determined
Time Topic Task Who’s Responsible?
1:00-1:05 Introductions Deb & Carol
1:05-1:25 Definitions & Confidentiality Agreement, Rooster, Team Roles & Attendance
Think, Ask Questions, Assume a Role Deb & Carol
1:25-2:00 Team Norms & Belief and Purpose Statements
Think, Contribute, Discuss & Accept Deb & Carol
2:00-2:10 Stretch Break
2:10-2:15 The Six Stages of the Cycle of Data Inquiry
Think, Ask Questions Deb & Carol
2:15-2:40 Stage 1: Ask Good Questions (1A, 1B, !C)
Think & ParticipateDeb & Carol
2:40-2:50 Stage 2: Collect & Prepare Data (2A)
Think & ParticipateDeb & Carol
2:50-3:00 Summarize & Next Steps Think, Clarify, Prepare for Next Session
All Data Team Members, plus Deb & Carol
Data Team Definition:
A group of people dedicated to improving student achievement through data inquiry
A Data Team IS…
Solely responsible for all of the work involved in pursuing improvement
A Data Team is NOT…
A group of people:• who have agreed to dedicate time and
effort to organize efforts around data• who will help build and maintain a culture
of data use
Confidentiality
Importance – Because it is likely the team will use identifiable student data
Confidentiality Agreement
Roster and Attendance
Purpose – • To track membership and attendance• To ensure everyone knows
• who is on the team • their role • how to reach them
• To serve as a simple sign-in sheet for each data team meeting records
Team Roles and Responsibilities Important and Common Roles:• Facilitator• Time-Keeper• Recorder • Referee • Planner• Active Participant
Shared Values and Behavior Norms
Coming to consensuses on the group’s shared values and expectations for Behavior
Developing a clear and shared understanding of the team’s• Purpose• Specific roles• Responsibilities of each member• How the team will conduct its meeting
Identify Values and Behavior NormsValues & Purpose Behavior Norms
What do we believe?What are we here to do?
Positive: What Behaviors do we want to exhibit?Negative: What behaviors are unacceptable?
Meeting Organization
To keep on task and moving forward, every meeting should have an agenda to guide the discussion and work.
Important items to include on the agenda are:• Affirmation of team norms and values• A review of the status of the last meeting’s action
items• Objective and expected outcomes for the meeting• Action items to pursue for the next meeting
(including identifying who is responsible)• Time allotments for each agenda item
Sample Agenda using Today’s WorkNorfolk Catholic Schools Data Team Meeting
Meeting Date & Time Wednesday, September 19, 2012, 1:00-3:00 pm
Meeting ObjectiveOrganize and Implement the Data Team Structure & Assign Initial Data Assignments
Expected Outcome(s)
• Orientation of Data Team• Creation Norms and Belief & Purpose Statements• Completion Step 1: Ask Good Questions and
begin Step 2: Collect Data
Team Norms To Be Determined
Statements of Belief and Purpose To Be Determined
Time Topic Task Who’s Responsible?
1:00-1:05 Introductions Deb & Carol
1:05-1:25 Definitions & Confidentiality Agreement, Rooster, Team Roles & Attendance
Think, Ask Questions, Assume a Role Deb & Carol
1:25-2:00 Team Norms & Belief and Purpose Statements
Think, Contribute, Discuss & Accept Deb & Carol
2:00-2:10 Stretch Break
2:10-2:15 The Six Stages of the Cycle of Data Inquiry
Think, Ask Questions Deb & Carol
2:15-2:40 Stage 1: Ask Good Questions (1A, 1B, !C)
Think & ParticipateDeb & Carol
2:40-2:50 Stage 2: Collect & Prepare Data (2A)
Think & ParticipateDeb & Carol
2:50-3:00 Summarize & Next Steps Think, Clarify, Prepare for Next Session
All Data Team Members, plus Deb & Carol
The Six Stages of the Cycle of Data Inquiry
1. ASK Good Questions
2. COLLECT and PREPARE
Data
3. FIND Trends and
Make observations
4. INTERPRET the Data
5. PLAN for action
6. IMPLEMENT, Monitor, and
Sustain
A data-rich environment
Heaps of student
data on…
demographics
achievement
outcomes
perceptions
A cohesive data analysis and decision-making process
Helps schools and
additional stakeholders
…
Ask good questions
Sort through the available
dataOutcomes
identify which figures are needed to answer the questions at
hand
Analyze the data
Use the information to
make good decisions & carry out meaningful
action for SI
Why have a data process?• To ensure high-quality outcomes• Seamless transitions
• To use data to answer important questions
• Structured and systematic• Leading to informed decision making and action
Its purpose?
What makes it effective?
Data TeamsWhat is a Data Team?
What is their role and function?
What structures and process do they use?• A climate of trust and openness • Open and honest communication • A sense of belonging • Diversity valued as an asset • Creativity and risk-taking • Ongoing evaluation with ability to self-correct • Members who are interdependent • A consensus decision-making style • Participatory leadership
Do they require ongoing support?
The data team process is continuous.
The data team’s work is NEVER complete.
The Six Stages of the Cycle of Data Inquiry
1. ASK Good Questions
2. COLLECT and PREPARE
Data
3. FIND Trends and
Make observations
4. INTERPRET the Data
5. PLAN for action
6. IMPLEMENT, Monitor, and
Sustain
Stage 1:
ASK GOOD
QUESTIONS
Stage 1: ASK GOOD
QUESTIONS
1 A. Identify the Focus Area
Stage 1: ASK GOOD
QUESTIONS
1 B. Generate Possible
Questions
Possible Questions
Stage 1: ASK GOOD
QUESTIONS
1 C. Narrow the Question to
Focus Inquiry
Stage 2:
Collect and Prepare
the Data
Stage 2: Collect and
Prepare the
Data
2 A. Data Collection
Plan
Summary & Wrap-UpThinking About Today’s Work…
• Give One Learning/Ah HA to your Right-Hand Partner
• Take One Learning/Ah HA from your Left-handed partner
Large Group Quick Share… So, What Occurred Today?
Next Steps…..What does the Data Team NEED to Do/Prepare for the November 21 Work Session ?1. 2.3.4.
Stage 3:
Find Trends and
Make Observations
Stage 3: Find Trends and
Make
Observations
3 A.SURFing the
Data
SURF
S• Specific: The statement makes a comment on a
single item within the data.
U• Understandable: The statement can stand on its
own and make sense to someone outside the team.
R• Related: The statement is relevant to the Focus
Question.
F• Factual: The statement is based only on the data in
front of the team. It does not introduce bias.
Remember to ALWAYS SURF!
Stage 4:
Interpret the Data
Stage 4: Interpret
the Data
4 A.Celebrate
Strengths and Identify
Challenges
Stage 4: Interpret
the Data
4 B.Prioritize the Challenges
Stage 4: Interpret
the Data
4 C.Determine
Driving Factors
Definitions:
The team can change factors around this area, indirectly leading to possible change.
This is a group of items that the team can directly change.
Area of Concern:
Area of Influence:
Area of Control:
The team has no ability to alter the factors in this area, but these factors do remain a concern.
Stage 4: Interpret
the Data
4 C.Determine
Driving Factors
Stage 4: Interpret
the Data
4 D.Fishbone Diagram
Stage 4: Interpret
the Data
4 D.Isolate Controllable
Driving Factors
Definitions:
The team can change factors around this area, indirectly leading to possible change.
This is a group of items that the team can directly change.
Area of Concern:
Area of Influence:
Area of Control:
The team has no ability to alter the factors in this area, but these factors do remain a concern.
Stage 5:
Plan for Action
Stage 5: Plan for
Action
5 A.Identify Strategy
for Action
Stage 6:
Implement,
Monitor, and
Sustain
Stage 6: Implement,
Monitor, and
Sustain
6 A.Action Plan –
Organizing the Team for Action
Stage 6: Implement,
Monitor, and
Sustain
6 B.Evaluating Progress and Improvement
The Six Stages of the Cycle of Data Inquiry
1. ASK Good Questions
2. COLLECT and PREPARE
Data
3. FIND Trends and
Make observations
4. INTERPRET the Data
5. PLAN for action
6. IMPLEMENT, Monitor, and
Sustain
Summary & Wrap-Up
• Data_Displays copy.ppt
• School Need to Do’s
What NOT to Do… and, Your NEED to Do’s