• Lauren Miller, Part C Data Analyst, NY
• Katie Reks, Part C Health Program Administrator, NY
• Justine Rogoff, Part C Data, NC
• Jessica Simmons, Part C Training, NY
• Bin Zhu, Part C Data Analyst, NY
In this session, we will provide information on how to analyze Family Outcomes data to identify program improvement opportunities for addressing response rate representativeness and equity. We will describe an example of a self-assessment tool adapted using the Family Outcomes Measurement System Framework that some states are currently using to examine Family Outcomes representativeness and equity. State presenters will share examples of their work in this effort. We will explain how the “Look-Think-Act” protocol and critical data questions can be used for the process of examining representativeness and equity. We also will discuss strategies for engaging stakeholders in program improvement activities in meaningful ways based on the data.