Resource | Presentation
Mining Administrative Data: Identifying and Understanding At-Risk Populations
- Authors:
- Dana Weiner
- Heidi Melz
This webinar discusses strategies for mining administrative data to assess the characteristics and needs of at-risk child welfare populations.
Using examples from a federal Permanency Innovations Initiative grantee in Illinois, the speakers identify the key requirements of productive data mining, steps in the data mining process, and useful statistical techniques for analyzing and making sense of administrative data.