During the qualitative data session, Chapin Hall staff and Daniel Webster from the UC Berkeley California Child Welfare Indicators Project (CCWIP) will focus on how managers in these (mostly) smaller counties can use existing qualitative data resources (like OSRI-housed data) to support hypothesis development about opportunities to improve core child welfare outcomes. Additionally, participants will learn how to structure targeted qualitative data collection efforts that are consistent with best practices in measurement and allow the incorporation of case-specific practice, process and quality data into the development of theories of change that can then be used to support ongoing program improvement efforts.
Topics covered include:
- Reviewing the principles of CQI, the demand for evidence and the current capacity of child welfare systems to access qualitative and quantitative evidence
- Examining best practices in generating, processing and applying qualitative data evidence to performance improvement
- Using existing qualitative data resources
- Developing targeted data collection instruments specifically for qualitative data collection