UCSUR - Integrated Data to Predict Chronic Absence in Public Schools, 2015

· Director´s Message

· Survey Research

· Urban & Regional
Analysis Program

· Study management &
data collection

· Research Registry

· Graduate Certificate
in Gerontology

· Geographic Information Systems (GIS)

· Pittsburgh Regional Economic Model (REMI)

  · Acquisition and
    Management of
    Seconary Data

· Program Evaluation
Services

· Technology
Infrastructure

Affiliate Centers

· National RRT Center
on Family Support

· Western PA Regional
Data Center (WPRDC)

· Center Reports

· Census Reports

· Pittsburgh Perspectives

· UCSUR Radio Podcast

· Annual Reports

· 50th Anniversary
Celebration

· Brown Bag Lecture
Series

Pitt Home · Find People · Contact

Menu

Center Reports
Back to Center Reports

Integrated Data to Predict Chronic
Absence in Public Schools, 2015

UCSUR

This project conducted research on chronic absenteeism through data integration of place-based data with student data and internal and external information from the Allegheny County Department of Human Services.

This research was conducted through the Connecting People and Place: Improving Communities through Multi-agency Integrated Data Systems (IDS) project, funded by the Annie E. Casey Foundation and National Neighborhood Indicators Partnership, Urban Institute, in partnership with Allegheny County Department of Human Services.

August, 2015

Clairton City School District

Pittsburgh Public Schools

Woodland Hills School District

Prepared By

Feifei Ye, PhD

SabinaDeitrick, PhD, UCSUR

Josh Childs, PhD

CaiyanZhang

University Center for Social & Urban Research
3343 Forbes Ave
Pittsburgh, PA 15260
ucsur@pitt.edu · 412-624-5442