# data[].attributes.body
Consider factors influencing the outliers (very high and very low outside the norm).

# data[].attributes.body
Data changes kids into nothing but numbers. We have to be careful when interpreting strictly numbers when they are people first with their own stories.

# data[].attributes.body
Does the data reflect changes in student pathways? Some students can not change pathways because of classes that have reached their limit

# data[].attributes.body
Quality of the data

# data[].attributes.body
Communication from support staff to the teacher

# data[].attributes.body
A need to look at student data must be identified & must be objective

# data[].attributes.body
The nature of the data and collection method must be understood in order to properly interpret the data and draw accurate conclusions

# data[].attributes.body
How do you quantify, display or assess anecdotal and soft data in an accurate and useable way? Particularly whenthis  is the number one influence on climate and culture.

# data[].attributes.headline
Need timely data before big decisions are made that will influence student achievement

# data[].attributes.subject
Need timely data before big decisions are made that will influence student achievement

# data[].attributes.body
Data must be relevant to student need

# data[].attributes.headline
A commitment to finding more information to explain/support data

# data[].attributes.subject
A commitment to finding more information to explain/support data

# data[].attributes.body
Appropriate placement of students.

# data[].attributes.body
Know your learner and their barriers and challenges.

# data[].attributes.headline
Within departments, establishing a consistent approach

# data[].attributes.subject
Within departments, establishing a consistent approach

# data[].attributes.headline
Ensure that there is an accurate understanding for the background of why the stats are trending that way so that a targeted approach to the issues can be developed to ensure success.  Use multiple data points and grass root discussions to understand trends fully before implementing solutions

# data[].attributes.subject
Ensure that there is an accurate understanding for the background of why the stats are trending that way so that a targeted approach to the issues can be developed to ensure success.  Use multiple data points and grass root discussions to understand trends fully before implementing solutions

# data[].attributes.body
How do you quantify feelings of 'safe', 'supported', and 'accepted'

# data[].attributes.body
A clear mindset of what we are looking for.

# data[].attributes.body
Establish a base of what they know so you can determine how much they have learned. Complete a diagnostic
beforehand.

# data[].attributes.headline
Does the data reflect the attendance concerns with non attenders

# data[].attributes.subject
Does the data reflect the attendance concerns with non attenders

# data[].attributes.body
A significant size of students to collect the data from

# data[].attributes.body
Clear monitoring of lates and attendance

# data[].attributes.body
Establish a safe environment in the classroom... then look for the kids whose needs you might be ignoring and 'go after' including them

# data[].attributes.headline
Maintaining objectivity when faced with problematic results

# data[].attributes.subject
Maintaining objectivity when faced with problematic results

# data[].attributes.body
Don't 'lump' these Tier 3 students in with the rest of the school data.