Describes the task of analyzing costs to satisfy funding requirements; support decision-making around intervention selection, testing, and piloting; and plan for scaling up and sustainability.

Presents how teams can develop a visual logic model that shows inputs, activities, outputs, and outcomes needed for the evaluation plan in a structured format to guide the work.

Examines the tasks of sharing findings and recommendations to inform stakeholders of the implementation progress, guide decision-making about the future of the intervention, support advocating for resources, and expand the knowledge base.

Examines how teams can identify questions to help guide monitoring and evaluation, shape the data that are collected and analyzed, and support evaluation partners in developing research questions.

Explores the task of identifying, as a team, if an intervention is effective enough to spread, needs adjustment to improve, or should be discontinued if appropriate.

Describes how teams identify measures, sources, and collection methods to move from the logic model to an evaluation plan, identify any existing data gaps, and pinpoint the tools needed to collect new data.

Review the steps for running the CFSR Round 4 SPSS syntax to calculate observed performance on statewide data indicators. 

Learn about the definition and calculation of the CFSR statewide data indicator permanency in 12 months for children entering care.

Learn about the definition and calculation of the CFSR statewide data indicator permanency in 12 months for children in care 12 to 23 months.

Learn about the definition and calculation of the CFSR statewide data indicator permanency in 12 months for children in care 24 months or more.

Learn about the definition and calculation of the CFSR statewide data indicator placement stability.

Learn about the definition and calculation of the CFSR statewide data indicator recurrence of maltreatment.

Learn about the definition and calculation of the CFSR statewide data indicator reentry to foster care.

​​Examine how implementation science principles can be applied to decisions about staging and scaling up new programs and practices at a child welfare agency.​ 

Learn a research-informed framework for agencies to explore implementation of CQI systems across seven areas, including leadership support and modeling, staff and stakeholder engagement, communication, administrative structure, use of quality data, case record review process, and application of CQI findings.