Title
Exploring the Value of Predictive Analytics for Strengthening Home Visiting: Evidence From Child First
Date
2022
Author(s)
Samantha Xia, Zarni Htet, Kristin E. Porter, and Meghan McCormick
Brief Type
Research Brief
Model(s)
- Child First
Description
Purpose: Provide results from a proof-of-concept exercise using predictive analytics to improve home visiting service delivery.
Example Topics Addressed:
How the results can be used to support Child First and better serve families who are at risk of early disengagement
The sample of families, data, and methodology used
The added value of predictive analytics for a home visiting program like Child First
Data Collection Methods
- Program administrative record reviews
Status
Finished
For More Information
Xia, S., Htet, Z., Porter, K. E., & McCormick, M. (2022). Exploring the value of predictive analytics for strengthening home visiting: Evidence from Child First. MDRC. https://www.mdrc.org/sites/default/files/Child_First_Brief.pdf
Topics
- Participant Recruitment, Retention, Engagement, and Dosage