| title | authors | date |
|---|---|---|
Youth Service Availability and School Dropout |
Myeong Lee, Julia H.P. Hsu, Gie Myung Lee, Jinyi Kim, Gahyun Sohn |
October 2025 |
This repository contains data and analysis scripts for our paper publisehd in Research on Social Work Practice (Sage): Leveling Socoeconomic Disparities: The Role of Service Availability in School Dropout Rates.
Census variables are downloaded using the R census package from the U.S. Census Bureau.
Boundary shapefiles from the U.S. Census Bureau TIGER/Line Shapefiles. Aggregated by county and school district.
Virginia Youth Clinic Locations and treatment types:
- Substance Use (SU)
- Mental Health (MH)
- Health Care Centers (HC)
- Buprenorphine Practitioners (BUPREN)
- Opioid Treatment Programs (OTP)
- Sources:
src/py/aggregation_average_values.ipynb- Aggregates census variables using average valuessrc/py/aggregation_median_age.ipynb- Aggregates census variables using grouped median calculation for agesrc/py/aggregation_median_income.ipynb- Aggregates census variables using grouped median calculation for income
src/py/dropout_rate_pred.ipynb- Dropout rate prediction model and analysis
src/r/drop_comm_agg.R– Aggregates geocoded clinic and community data by county.src/r/regression_Social_Work.R– Regression analysis examining relationships between service availability and dropout rates.
output/aggregation.geojson– Spatial aggregation of clinic locations.output/dropout_attached.geojson– Joined dataset combining community and dropout data for mapping.