# data[].attributes.body
The district numbers are quite different from the school based numbers. The numbers are especially different in the number of "2" scores.

# data[].attributes.body
Can some of the differences noted be related to the knowledge of the school based admin (of students, teachers, etc.)

# data[].attributes.body
2.3d Socio-Emotional percentiles are the most consistent within district and school administrators which shows it as a strength

# data[].attributes.headline
More calibration of the process across observers?

# data[].attributes.subject
More calibration of the process across observers?

# data[].attributes.body
Area of growth-- pay more attention to multiple and varied groupings
Summary of district and school admin closely aligned at level 3, however way off on scores of

# data[].attributes.body
Perhaps more calibration of the process across observers is needed?

# data[].attributes.body
The biggest difference in district vs. building-based observations seems to be in the assignment of 1s and 2s.

# data[].attributes.body
what are barriers or obstacles for teachers in creating varied groupings? and how do you sustain?

# data[].attributes.headline
How does the ILT support the process in use and calibration of the CVR tool

# data[].attributes.subject
How does the ILT support the process in use and calibration of the CVR tool

# data[].attributes.body
We wonder if the school based
score of 3 in 2.2 LP is elevated because the administration staff has more of a connection and more knowledge of the day a day that goes in the classroom.

# data[].attributes.body
Barbieri staff are strong in 2.3d - this was observed by all parties.

# data[].attributes.body
conversations and reflection at grade-level collaboration

# data[].attributes.headline
We noticed that there was growth in the use of objectives in lever 1

# data[].attributes.subject
We noticed that there was growth in the use of objectives in lever 1

# data[].attributes.headline
Meeting with the ILT to calibrate how the CVR tool is being used and the scoring. 

# data[].attributes.subject
Meeting with the ILT to calibrate how the CVR tool is being used and the scoring. 