1. Data Analysis through Data Driven Dialogue
March 2013
Data Analysis through Data Driven Dialogue

2. Introductions Name, grade, school What are your goals for today?
Data analysis is like . . .
Quick introductions (5 min)
Refer “Data analysis is like “ visuals on table

3. Goals for Today Review the Collaborative Inquiry Learning Process
Share strategies that promote Data Driven Dialog
Engage in the Collaborative Inquiry Process using MEAP and district data
Review how to use CLASS A to generate reports
Provide resources to support data analysis sessions at your school

4. Collaborative learning Process
What do you already know?
Participants sketch or write about what they know.
Participants turn and talk at their tables. One person from each table shares out.
Refer to Collaborative Inquiry Process, Summary of Steps (golden rod)
Refer to Collaborative Learning Cycle hand out (blue) and charts from last year.

5. Problem Solving Focus Data Focus: Fall MEAP 2012 Reading Assessment
Focus Question
How are the lowest 25% doing?
Review Planning handout (peach handout)
Other Focus Question examples:
Wide angle
Is there a positive correlation between students’ skills and their performance in math?
Is the rate of enrollment in advanced placement courses for minorities different than that of other groups?
Close up
How well do our new performance tasks measure our elementary students’ achievement in science?
In what ways has differentiation improved performance for special needs students?

6. Activating & Engaging
Purpose: To surface our experiences and expectations for the data
No data present
Make predictions about the data
Share hand out. (green) Participants are encouraged to share what they think they will see in the data and make predictions. This is also the time to evaluate underlying assumptions associated with those predictions.
Example:
Prediction - On the Fall 2012 MEAP, 80% of girls will be proficient at third grade reading while only 60% of the boys will be proficient.
Assumption – The boys did not spend as much time reading as the girls.
Activity minutes
generate an individual list
Share out round robin at tables and record on chart paper
Spokesperson shares out to group

7. Exploring & Discovering
Purpose: To analyze data
Data is present.
The word “because” is banned
It is not the time to explain.
Group members distinguish, sort, classify, analyze, compare, and contrast while viewing the data set.
Post data sets on wall.
Give example of rough and refined observation
Rough – More students were proficient on the 3rd grade IRW in Fall 2012 than in Fall 2011.
Refined – The percent of students who demonstrated proficiency on the Fall 2012 Reading MEAP test was 4% higher than the percent of students who demonstrated proficiency on the Fall 2011 Reading MEAP test.
Participants choose a data wall to study.
Participants gather at the wall and silently make note of rough and refined observations.
Participants share out their observations round robin. One member of the group records.
A representative from the group shares out.
Use highlighter to identify
Strength: 85% or above
Weakness: 70% or below

8. Organizing & Interpreting
Purpose: To generate theory of causes and actions
Likely causes, based on the interpretation of the data, are generated.
These causes may lead to theories and action plans only if additional data confirm and clarify the original data source.
Theories of Causation
Example
Theory of Causation – Students are not spending enough time reading independently.
Testing a theory – Look at student reading logs for evidence.
Individually fill out the Theories of Causation Charts
Share out round robin at tables. Collect responses on chart. Post chart. One person shares out from each table.

9. Analysis Memos Read analysis memos As you read, “code” your reactions
! Surprises
 Interesting
? Questions
Within each school group, decide who will read each memo.
Individuals read and code their reactions.
After reading and coding, each member of the group shares their reactions.

10. Data Dig – Test Delivery
Item Analysis Report
Displays the percent correct by item.
Results Over Standards Report
Displays the percent proficient by standard.
For district benchmark assessments only.
Introduce reports that will be reviewed.

11. Data Dig – Performance Analysis
Percent Proficient by Subgroup
Sorts data as subgroups
MEAP Item Analysis
Displays MEAP data by percent correct for each item
Student Progress Report
Shows student progress over time
Compare My Class
Compares building data to district data by standard
Marilyn (60 min) Participants do data dig (30 min)

12. Time for Collaboration
Plan for the Collaborative Inquiry Process at your school
Engage in the Collaborative Inquiry Process as a team
Identify and print reports for a data display
How will you use your collaboration time?
Share what’s available on your website.
Use highlighter to identify
Strength: 85% or above
Weakness: 70% or below

13. Whip Around
Now I…
End of day