Webinar GBD Week Three

Slide 1: 

Going Beyond Data Week Three Tim Lucas The Leadership Institute

Slide 2: 

Invitation to Quality (ITQ) PDE’s Inspired Leadership Standards Core Standard Three: “ The leader knows how to access and use appropriate data to inform decision-making at all levels of the system.” Course: Going Beyond data

Using Data to Improve Schools: What’s Working : 

Using Data to Improve Schools: What’s Working Published by American Association of School Administrators (AASA) Overview of Process Strategies for Working with Data Techniques for Sharing Data Resources Glossary (File in Week 3’s Folder)

Slide 4: 

How we show and depict data either confuses teachers or empowers them to create change.

Slide 5: 

Two important concepts when explaining data and asking people to look at trends or approximations in the data: Determining when a change in data is Statistically Significant 2. Using the Stability Index to see long term trends

Slide 6: 

Determining when a change in data is Statistically Significant In general, a change that reflects a 10% change as either an increase or decrease is considered statistically significant. 78, 81, 84, 95, 91, 90

Slide 7: 

Determining when a change in data is Statistically Significant In general, a change that reflects a 10% change as either an increase or decrease is considered statistically significant. 78, 81, 84, 95, 91, 90

Slide 8: 

Using the Stability Index to see long term trends A stability index (or S.I.) is a three year average of the same data and accurately shows the trends. Year: 1 2 3 4 5 6 7 8 9 10 11 Data: 78 80 77 81 84 80 84 85 83 87 86 S.I. 78.3 79.3 80.6 81.6 82.6 83 84 85 85.3

Slide 9: 

Using the Stability Index to see long term trends A stability index (or S.I.) is a three year average of the same data and accurately shows the trends. Year: 1 2 3 4 5 6 7 8 9 10 11 Data: 78 80 77 81 84 80 84 85 83 87 86

Slide 10: 

Using the Stability Index to see long term trends A stability index (or S.I.) is a three year average of the same data and accurately shows the trends. Year: 1 2 3 4 5 6 7 8 9 10 11 Data: 78 80 77 81 84 80 84 85 83 87 86 S.I. 78.3

Slide 11: 

Using the Stability Index to see long term trends A stability index (or S.I.) is a three year average of the same data and accurately shows the trends. Year: 1 2 3 4 5 6 7 8 9 10 11 Data: 78 80 77 81 84 80 84 85 83 87 86 S.I. 78.3 79.3

Slide 12: 

Using the Stability Index to see long term trends A stability index (or S.I.) is a three year average of the same data and accurately shows the trends. Year: 1 2 3 4 5 6 7 8 9 10 11 Data: 78 80 77 81 84 80 84 85 83 87 86 S.I. 78.3 79.3 80.6

Slide 13: 

Using the Stability Index to see long term trends A stability index (or S.I.) is a three year average of the same data and accurately shows the trends. Year: 1 2 3 4 5 6 7 8 9 10 11 Data: 78 80 77 81 84 80 84 85 83 87 86 S.I. 78.3 79.3 80.6 81.6 82.6 83 84 85 85.3

Slide 15: 

The bigger model… By Victoria Bernhardt Connecting Data From Two or More Areas

Slide 16: 

Industrialization Our understanding of industrialization Two Sets of Data on One Graph

Slide 17: 

1995 2005 2000 Actual Budget

Slide 18: 

1995 2005 2000 Actual Budget Cost of Mandated Programs

Slide 19: 

1995 2005 2000 Actual Budget Cost of Mandated Programs Amount of Federal and State Funding

Slide 20: 

BOT Graphs Associated with Traffic

Slide 21: 

BOT Graphs Associated with Traffic

Slide 22: 

BOT Graphs Associated with Traffic

Slide 23: 

BOT Graphs Associated with Traffic

Slide 24: 

BOT Graphs Associated with Traffic

Slide 25: 

BOT Graphs Associated with Traffic

Before Beginning the Analysis : 

Before Beginning the Analysis Determine the purpose Focus the data analysis on the goals of the school Get everyone on the staff committed and informed Create the questions you want to answer Identify the data sources you have and may still need What data should you be showing on the same graph?

During the Analysis : 

During the Analysis Include everyone and make the data is accessible Determine what the data is telling you Dig deeper – disaggregate the data, see how it was collected, look at root cause Keep the process positive and always focus on students and your school goals Make sure everyone understands how the analysis of the data can effect how we may have to do things differently Relating different data sets is “digging deeper” and looking for “root” causes.

After the Analysis : 

After the Analysis Look for solutions to problems only after you have answered your original questions Establish a plan of action Create an action plan that everyone understands, receives, and impacts meetings, professional development, and daily dialogue Evaluate the same data and process each year Document your results in a school portfolio Keep the momentum going by using the process as a standard procedure in your school Focus on the relationships in data – try to isolate specific actions that impact the trends.

Slide 30: 

Using the Data Graphs with Colleagues and Faculty: to analyze student data and performance. to develop questions and dialogue about patterns and trends. to explain student performance and behavior to students and parents. to value data-driven information and feedback. to help limit students’ and our own “episodic grasps of reality.”

Slide 31: 

Activity for Week Three: Please take one area of your program and determine another variable that you should see in reference to this program. You need at least four years of data. (As an example - math performance compared to yearly percentage of student turnover, girls/boys in grade, or attendance) Show the data and please submit it back to me at lucast@cliu.org.

Slide 32: 

Reflection for Week Three: In what areas of your program would using the Stability Index help you see the bigger trends in the data? 2. In what data have you seen some statistically significant changes in the past? 3. Where you able to determine the exact reason for the significant change in the data? The sheet in Week Three titled “Reflection W3 GBD” can be downloaded, completed, and submitted back to me at lucast@cliu.org.

Final Quote : 

Final Quote “Information without data is just an opinion.”

Thank you – See in Session Four“Going Beyond Data” : 

Thank you – See in Session Four“Going Beyond Data”