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2000115-Strengthening-Communities-with-Neighborhood-Data

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Using <strong>Data</strong> for City and Regional Strategies 281<br />

school, district, grade, and neighborhood and, if appropriate, by<br />

school feeder patterns.<br />

2. Ensure attendance data are included in longitudinal data systems<br />

that promote sharing and tracking of outcomes across agencies.<br />

3. Triangulate chronic absence data <strong>with</strong> data on health, social, economic,<br />

and other community conditions that could shed light on<br />

key attendance barriers facing students overall as well as those in<br />

certain neighborhoods or particular ethnic, linguistic, or economically<br />

vulnerable populations.<br />

4. Educate local stakeholders about how they can share data on<br />

attendance while respecting concerns about confidentiality.<br />

Explain how confidentiality does not need to be a barrier, especially<br />

for looking at data at a systems level—though confidentiality<br />

should be ensured when an individual intervention is<br />

needed.<br />

5. Convene key stakeholders to help interpret the data and identify<br />

the resources that can be leveraged to overcome barriers to<br />

attendance.<br />

6. Encourage the use of chronic absence as a common measure to<br />

be addressed and monitored across multiple local initiatives, from<br />

Promise <strong>Neighborhood</strong>s to local grade-level reading campaigns.<br />

7. Include chronic absence in the evaluations of local programs and<br />

publicize the results in order to expand knowledge of what interventions<br />

help to improve attendance and for which populations of<br />

students.<br />

Conclusion<br />

Chronic absence is not created or solved by schools alone. This essay has<br />

suggested practical ways for schools, districts, communities, and neighborhood<br />

initiatives to tackle this issue. Whatever the level, the strategies<br />

begin <strong>with</strong> understanding the size and nature of the problem through<br />

education and other contextual data at various levels: the individual student,<br />

the school, the neighborhood, and districtwide. By pairing the analysis<br />

<strong>with</strong> proven interventions, communities can create the conditions that<br />

will ensure a next generation of children has an equal opportunity to<br />

learn and succeed.

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